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STUDIES ON PIGEONPEA (Cajanus cajan (L.) MILLSP.) GENOTYPES IN INTERCROPPED SYSTEMS WITH MAIZE (Zea mays) IN A DERIVED SAVANNAH AGRO-ECOLOGY. BY MADANG AYUBA DALONG DASBAK B. AGRIC. (UNIJOS), M.Sc (UAM). REG. NO: PG/Ph.D/04/35748 DEPARTMENT OF CROP SCIENCE, UNIVERSITY OF NIGERIA, NSUKKA. NOVEMBER, 2011.

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Page 1: STUDIES ON PIGEONPEA (Cajanus cajan (L.) MILLSP ... · Intercropping effects of two maize genotypes on yield and yield attributes of six pigeonpea genotypes under a pigeonpea/maize

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STUDIES ON PIGEONPEA (Cajanus cajan (L.) MILLSP.) GENOTYPES IN

INTERCROPPED SYSTEMS WITH MAIZE (Zea mays) IN A DERIVED

SAVANNAH AGRO-ECOLOGY.

BY

MADANG AYUBA DALONG DASBAK

B. AGRIC. (UNIJOS), M.Sc (UAM).

REG. NO: PG/Ph.D/04/35748

DEPARTMENT OF CROP SCIENCE,

UNIVERSITY OF NIGERIA, NSUKKA.

NOVEMBER, 2011.

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STUDIES ON PIGEONPEA (Cajanus cajan (L.) MILLSP.) GENOTYPES IN

INTERCROPPED SYSTEMS WITH MAIZE (Zea mays) IN A DERIVED

SAVANNAH AGRO-ECOLOGY.

BY

MADANG AYUBA DALONG DASBAK

B. AGRIC. (UNIJOS), M. Sc (UAM).

REG. NO: PG/Ph.D/04/35748

A THESIS SUBMITTED TO THE DEPARTMENT OF CROP SCIENCE,

UNIVERSITY OF NIGERIA NSUKKA, IN FULFILMENT OF THE

REQUIREMENTS FOR THE AWARD OF THE DEGREE OF

DOCTOR OF PHILOSOPHY (Ph.D).

NOVEMBER, 2011.

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CERTIFICATION

Dasbak, Madang Ayuba Dalong, a post graduate student in the department of Crop Science

with the registration number, PG/Ph.D/04/35748, has satisfactorily completed the

requirement of research work for the degree of Doctor of Philosophy in Agronomy

(Cropping Systems). The work embodied in this thesis is original and has not been

submitted in part or in full for any other diploma or degree of this or any other university.

------------------------------------ ---------------------------------

Professor J.E. Asiegbu Professor M. I. Uguru

(Supervisor) (Head of Department)

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DEDICATION

This work is dedicated to God Almighty and my parents Mr Samuila Dalong Dasbak and

Mrs Damaris Kaklang Dasbak.

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ACKNOWLEDGEMENT

I am grateful to the Head, Department of Crop Science, University of Nigeria

Nsukka, Prof. M. I. Uguru for making the facilities of the department available to me.

I am highly indebted and grateful to my supervisor, Professor J.E. Asiegbu for his

indebt contributions in making this work a reality. I appreciate his patience and love.

I wish to thank the Provost, Plateau State College of Agriculture, Garkawa, Dr O.N.

Ndam and the Management of the institution for granting me the permission to undertake

this study.

I thank the lecturers and staff of the Department of Crop Science, University Nsukka

for their contributions in diverse ways towards the accomplishment of this work. I highly

appreciate the enormous sacrifices of my wife, Mrs Emmanuella Ayuba, my children, Miss

Charity Fohotnan, Master Victor Nanma, Master Abel Ennan and Master Michael Daksuk. I

thank them for their patience and support. I also wish to thank my sisters, brothers and all

relations for their encouragement and prayers.

My thanks also go to my colleagues Aindigh, F.D, Aruah, B. C. Manggoel, W. and

Oyiga, C. J. with whom I toiled together and other friends too many to mention here. I

appreciate the contributions of all technologists and technicians who in one way or the other

contributed to the success of this work. Thank you and may God bless you all. Amen.

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PUBLISHED ARTICLES FROM THE WORK

1. Dasbak, M.A., Echezona, B.C. and Asiegbu, J.E. (2009). Post-harvest bruchid

richness and residual activity of primiphos-methyl on Callosobruchus

maculabus F. infested pigeonpea (Cajanus cajan L. Millsp.) in Storage.

African Journal of Biotechnology Vol. 8(2), pp 311-315.

2. Dasbak, M.A., B.C. Echezona, and J.E. Asiegbu (2009). Pigeonpea grain physical

characteristics and resistance to attack by the bruchid storage pest.

International Agrophics, 2009, 23, 19-26.

3. Dasbak, M.A. and J.E. Asiegbu (2009). Performance of Pigeonpea genotypes

intercropped with maize under humid tropical ultisol conditions. Journal of

Animal & Plant Sciences, Vol. 4, Issue 2: 329-340.

4. Dasbak, M.A. and J.E. Asiegbu (2011). Intercropping effects of two maize

genotypes on yield and yield attributes of six pigeonpea genotypes under a

pigeonpea/maize intercropping system in a Derived Savanna ecology of

Nigeria. International Journal of Research in Agriculture. Vol. 3, number 6:

67-77.

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ABSTRACT

Four experiments were used for the studies. Experiment 1 studied the performance of six

pigeonpea genotypes namely ICPL 87 and ICP 161 of Short - duration types, ICPL 85063,

ICP 7120 and ICPL 87119 of medium-duration types and Nsukka Local of long-duration

type in intercropped systems with two maize genotypes in 2005 and 2006 cropping seasons

at the Research Farm of the Department of Crop Science, University of Nigeria Nsukka.

The two maize genotypes were hybrid maize and open pollinated maize. There were twenty

treatments consisting of six sole pigeonpea genotypes, six pigeonpea/hybrid maize mixtures,

six pigeonpea/open pollinated maize mixtures and two sole maize treatments comprising of

sole hybrid maize and sole open pollinated maize. The field experiment was a factorial laid

out in a randomized complete block design (RCBD, with three replications. Both intercrop

and sole crop treatments of the crop genotypes were maintained at 40,000 plants ha-1

. The

representative leaf samples of the pigeonpea genotypes were analyzed for N, P, K and Ca

contents at the flowering stage. The intercropping efficiencies of the pigeonpea/Maize

mixtures were analyzed using the land equivalent ratio (LER) technique and benefit/cost

ratio analysis. Correlation analyses on grain yield, growth and yield parameters were carried

out on the pigeonpea data. The 2006 pigeonpea plants were assessed for ratoonability in

2007. Experiment 2 was a two-phased storage experiment on the seeds of the pigeonpea

genotypes to assess the status of field-to-store insect pest infestation. Actellic dust

(Pirimophos-methyl) was applied at zero, half dosage and full dosage levels (0.0g, 0.5g and

1.0g) per treatment in the first phase. Callosobruchus maculatus adults were introduced in

the second phase to assess the residual effect of the actellic dust on the C.maculatus storage

pest. Experiment 3 involved assessment of susceptibility of the seeds of the six pigeonpea

genotypes to C maculatus under storage conditions. Evaluation of the pigeonpea genotypes

seed for hardness was done in a completely randomized design (CRD) with three

replications. Susceptibility index (SI) analysis was carried out to evaluate the resistance of

the genotype seeds to the pest. Proximate analysis was carried out on representative seed

samples of the pigeonpea genotypes. Experiment 4 concerned analysis of antinutritional

factors and enzyme inhibitor contents of tannin, phytate, trypsin and chymortrypsin in the

pigeonpea genotype seeds in a completely randomized design (CRD) with three replications.

Data obtained in all the experiments were analysed using Genstat (3) discovery package of

statistical analysis, and means were separated for significant differences using least

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significant difference (LSD) procedure at 5% level of probability. The result of experiment 1

showed that maize intercropping with pipeonpea significantly (P<0.05) reduced leaf

number, leaf, stem and root dry matter weights, stem girth, nitrogen leaf contents and grain

yield in pigeaonpea. The grain yield of ICRISAT pigeonpea genotypes were superior to that

of Nsukka local genotype. The pigeonpea genotypes differed significantly in their number of

primary branches, pod bearing stem length, leaf and stem dry matter weights, insect pests

damaged seeds, one thousand seed weight and total grain yield. Pigeonpea ratooning in the

second year was significantly higher in the long-duration pigeonpea genotype compared

with the short– and medium–duration ICRISAT genotypes. The yield of pigeonpea ratoon

crops on the average was 60% of the main crop. Land equivalent ratio (LER) values greater

than one (>1.0) were obtained in all pigeonpea/maize mixtures. Mixtures also gave greater

monetary returns than the sole of either pigeonpea or maize. The grain yield in pigeonpea

had significant positive correlation with leaf, pod and seed counts per plant and with the pod

bearing stem length and dry matter yield of leaf, stem and root fractions. The result of

experiment 2 showed that there was no field–to–store infestation in the pigenonpeas. The

residual activity of actellic dust significantly reduced F1 count and final insect mortality

count of C. maculatus under storage. The result of experiment 3 showed that the pigeonpea

genotypes differed significantly in their susceptibility to C maculatus with ICPL 161, ICPL

87 and ICPL 85063 being in resistant category and Nsukka Local, ICP 7120 and ICPL

87119 being in moderately resistant seed category. The pigeonpea genotype seeds also

differed significantly in their physical hardness. The result of experiment 4 showed that the

pigeonpea genotypes had moderate but significantly different anti-nutritional and enzyme

inhibitor contents.

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TABLE OF CONTENTS

Title page … … … … … … … … … … i

Certification … … … … … … … … … … ii

Dedication … … … … … … … … … iii

Acknowledgement … … … … … … … … iv

Published articles from the work ... ... ... … … … … v

Abstract … … … … … … … … … vi

Table of contents … … … … … … … … …

viii

List of Tables … … … … … … … … … x

CHAPTER 1: INTRODUCTION … … … … … … … 1

CHPATER 2: LITERATURE REVIEW

Reasons for intercropping practices … … … … … … 8

Legumes in intercropping systems … … … … … … 10

Cereal/legume intercropping production systems … … … … … 11

Land Equivalent Ratio (LER). .. … … … … … … … 13

Cost/Benefit ratio analysis …. … … … … … … … 15

Crop Genotype … … … … … … … … … 15

Phenology of Pigeonpea … … … … … … … … 17

Maize Production … … … … … … … … 18

Pigeonpea production … … … … … … … … 19

Diseases and pests of pigeonpea … … … … … … … 23

Antinutritional factors in pigeonpea. … … … … … … 25

Plant Tissue analysis … … … … … …. … … … 27

CHAPTER 3: MATERIALS AND METHODS

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Experiment 1: Assessment of six pigeonpea genotypes under two late maize intercropping

systems. … … … … …. …. …. … 28

Assessment of intercropping efficiency … … … … 33

Benefit/Cost ratio analysis. … … … … … … 33

Experiment 2: Assessment of field-to-store insect pests infestation on six pigeonpea

genotype seeds and the residual effect of actellic dust on C. maculatus

insect pests. … …. …. …. … … …. … 33

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Experiment 3: Susceptibility of six pigeonpea genotype seeds to Callosobruchus

maculatus storage pest. … … … … … … 35

- Seed hardness test.. …. …. …. … … … 35

Plant material chemical analyses. … … … … … 37

- Proximate Analysis of pigeonpea seed. … … … … 37

- Mineral element analysis in plant materials. … … … 39

Experiment 4: Antinutritional Factors Assessment in the seeds of six phigeonpea

genotypes. … … … … … … … … 40

CHAPTER 4: RESULTS

Experiment 1: … … … … … … … … … 42

Experiment 2: … … … … … … … … … 95

Experiment 3: … … … … … … … … …

100

Experiment 4: … … … … … … … … …

103

CHAPTER 5: DISCUSSION

Experiment 1: … … … … … … … … …

105

Chemical Analysis … … … … … … … … …

121

Experiment 2: … … … … … … … … …

122

Experiment 3: … … … … … … … … …

124

CHAPTER 6: SUMMARY AND CONCLUSIONS … … …

127

References … … … … … … … … …

131

Appendix I … … … … … … … … …

147

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Appendix II … … … … … … … … …

151

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LIST OF TABLES.

Table 1: Meteorological records for 2005, 2006 and 2007 at Nsukka, Nigeria. … 43

Table 2: Physical and chemical characteristics of the experimental sites before planting 44

Table 3: Days to 50% emergence, 50% flowering and 50% maturity of pigeonpea grown in

mixtures with two maize genotypes. … … … … … 45

Table 4: Days to 50% tasselling and 50% maturity in maize genotypes intercropped with six

pigeonpea genotypes. ... ... ... ... ... ... ... 47

Table 5: Pigeonpea genotype plant height (cm) responses at 2-, 4- and 6- WAP under

maize/pigeonpea intercropping systems. … … … … 48

Table 6: Pigeonpea genotype plant height (cm) at 50% anthesis and at 50% maturity under

intercropping with two maize genotypes. … … … … … 49

Table 7: Maize genotypes plant height at 2-, 4- and 6- WAP under intercropping with six

pigeorpea genotypes and sole crop systems. … … … … 50

Table 8: Maize Genotypes plant height (cm) at 50% tasselling and at 50% maturity under

intercropping with six pigeonpea genotypes and sole crop systems. … 51

Table 9: Effects of intercropping on number of primary branches/plant and number of

leaves/plant in six pigeonpea genotypes. … … … … 54

Table 10: Effects of pigeonpea/maize intercropping on pigeonpea inflorescence ( pod

bearing stem) length/plant and stem girth (cm/plant). … … … 55

Table 11: Pigeonpea genotypes leaf, stem and root dry matter fractions (g/plant)

under intercropping with two maize genotypes. … … … … 56

Table 12: Maize leaf, stem, and inflorescence dry matter fractions (g/p) under intercropping

with six pigeonpea genotypes. … … … … … … 58

Table 13 : Field insect pests recorded on pigeonpea at Nsukka in 2005 and 2006. … 59

Table 14: Number of blister beetles and pod borer insect pests/plant at flowering stage and

pod fly, pod sucking bugs and pod borer insect pests at podding stage in

pigeonpea intercropped with maize. … … … … … 60

Table 15: Number of insect pests-damaged pods/plant and insect pests-damaged seeds/plant

in pigeonpea under intercropping with maize. ... ... ... ... 62

Table 16: Number of pigeonpea pods/plant and of seeds/plant under miaze intercropping and

sole crop systems … … … … … … … 63

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Table 17: Pigeonpea genotypes pod length and seed number of pod per plant under maize

intercropping and sole crop systems … … … … 65

Table 18: Pigeonpea grain yield (kg/ha), average 1000 seedweight (g) and threshing

percentage (%) under intercropping with maize. … … … … 66

Table 19: Maize grain yield (kg/ha) and shelling percentage (%) under intercropping with

pigeonpea. … … … … … … … 70

Table 20: Mean relative grain yield of maize and pigeonpea genotypes and land equivalent

ratio (LER) values in the pigeonpea/maize intercropping system. … 71

Table 21: Cost items for production per hectare in pigeonpea/maize mixtures in 2005 .. 72

Table 22: Cost items for production per hectare in pigoenpea/maize mixtures in 2006. .. 73

Table 23: Revenue items and Benefit/cost ratio analysis for 2005 … … …. 74

Table 24: Revenue items and Benefit/cost analysis for 2006 … … …. 75

Table 25: Pigeonpea ratoon crop percentage plant survival. … … … … 77

Table 26; Pigeonpea ratoon crop yield responses in number of pods/plant and number of

seeds/plant at harvest in 2007. … … … … … 78

Table 27: Pigeonpea ratoon crop pod length (cm) and number of seeds/pod. … … 79

Table 28: Number of blister beetles and pod borer insect pests per plant at flowering stage

and pod fly, pod sucking bugs and pod borers at podding stage in pigeonpea

rotoon crops. … … …. … …. … .. …. 81

Table 29: Pigeonpea ratoon crop percentage(%) insect-damaged pods and seeds as

influenced by cropping system and pigeonpea genotype. … … 82

Table 30: Pigeonpea ratoon crop grain yield (kg/ha) and threshing percentage as influenced

by pigeonpea genotype and cropping system …. … … … 83

Table 31: Pigeonpea correlation analysis 2005 … … … … … 86

Table 32: Pigeonpea correlation analysis 2006 … … … … 87

Table 33: Effects of intercropping pigeonpea and maize on the nitrogen (N), phosphorus

(P), potassium (K) and calcium (Ca) leaf contents of pigeonpea at flowering 90

Table 34: Mineral nutrient turnover (kg/ha) in pigeonpea leaf at flowering stage under

intercropping with two maize genotypes. … … … … 92

Table 35: Proximate analysis of pigeonpea genotype seeds. … … … 93

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Table 36: Chemical analysis for nitrogen (N) phosphorus (P), Potassium (K) and Calcium

(Ca) in six pigeonpea genotype seeds ... … … … … 94

Table 37: Residual activity of actellic dust (pirimiphos-methyl) doses on the oviposition and

mean development days (MDD) of Callosobruchus maculatus in pigeonpea 97

Table 38: Residual activity of actellic dust (Pirimophos-methyl) on F1 count and

Percentage adult emergence of C. maculatus in pigeonpea. … … …

… 98

Table 39: Residual activity of actellic dust (pirimiphos-methyl) on percentage seed damage,

seed weight loss and insect mortality count of C. maculatus in pigeonpea 99

Table 40: Seed hardness and infestation by C. maculatus under six months storage of six

pigeonpea genotype seeds. … … … … … …

102

Table 41: Tannin, Phytate, Trypsin inhibitor and Chymortrypsin inhibitor seed contents in

six pigeonpea genotypes. … … … … … … …

104

CHAPTER ONE

INTRODUCTION

Pigeonpea (Cajanus cajan (L.) Millsp) belongs to a group of leguminous crops

called pulses. The pulse legumes, are those species harvested traditionally for their mature

seeds, and are a major source of dietary proteins and feed products throughout the world.

They are especially important as human food in those regions where animal proteins are

scarce (Norton et al., 1985). Their introduction into a feeding regime based on cereals or

tubers balances the latter and combats protein deficiency linked malnutrition, which is

frequent in the developing countries, especially in West Africa (Borget 1992).

According to Reddy et al., (1993), pigeonpea is an important grain legume crop of

rainfed agriculture in the semi-arid tropics. The India sub-continent, eastern Africa, and

central America, in that order, are the worlds three main pigeonpea-producing regions.

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Pigeonpea is cultivated in more than 25 tropical and sub-tropical countries, either as a sole

crop or intermixed with such cereals as sorghum ( Sorghum bicolour (L.) Moench), Pearl

Millet (Pennisetum glaucum (L.) R. Br,), maize (Zea mays L.) or with legumes such as

groundnut (Arachis hypogea L.). It is one of the mandate crops of International Crops

Research Institute for the Semi-Arid Tropics (ICRISAT) which has released improved

genotypes to farmers (Guy et al., 2001), and holds about 13,544 accessions (ICRISAT

Newsletter Oct., 2003).

Consultative Group on International Agricultural Reseach (CGIAR) (2005) report indicated

that in 2005, world production of pigeonpea was about 3.5 million metric tons. Africa

accounted for 317,862 metric tons, and Asia for 3 million tons. It also reported that the area

harvested to pigeonpea in 2005 was 4.5 million hectares globally. India alone accounted for

about 76.5% of this figure. Other producers are Sub-Saharan Africa and Latin America and

the Caribbean. The report further indicated that pigeonpea ranks sixth in area and production

in comparison with other grain legumes such as beans, peas and chickpeas.

Pigeonpea is an erect shrub, a leguminous perennial that is managed in agricultural

systems as an annual or biennial (Snapp et al., 2003). It may reach 4m in height depending

on the genotype, but is usually about 1.5m. It is woody at the base of the plant and the side

branches are generally erect (Morton, 1976). The vertical taproot is deep and extensive,

reaching depths of 1-2m with multiple branches (Anderson et al., 2001; Sheldrake and

Naranyanan, 1979). Maturity ranges from about 90 to 280 days from planting. Genotypes

tend to be extremely sensitive to photoperiod and temperature, which can greatly alter

phenology, height, and productivity (Reddy, 1990). Growth habit ranges from erect with

acutely angled branches (30 degrees or less) to more spreading types with branch angles as

large as 60 degrees (Whiteman et al., 1985). Some cultivars tend to produce long primary

branches with leaves along their entire length and fruits concentrating in the terminal one-

third or one-half of each branch. Some genotypes branch very little and produce flowering

recemes directly on the main axis. Trifoliate leaves are arranged spirally in a 2/5 phyllotaxy

and inflorescences are 4-12 cm long, borne either terminally or at axillary nodes. They

further reported that flowering can be diffuse over the whole plant spreading throughout a

long period, or synchronous, depending upon the genotype and on the photoperiod and

temperature regime. Flowers are about 2.5 cm long with four calyx lobes. The Petal colour

varies from yellow to red or purple, with some tinged, striped or mottled with red purple.

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The stigma is terminal, and the ovary and base of style are hairy. Fruits are flattened pods

with diagonal depressions between each of the two to nine locules, and are up to 10 cm long,

beaked and often hairy. Pod wall colour can be green, brown, dark maroon to dark purple or

blotched, with a greasy or waxy surface when immature, and the pods are straight to sickle

shaped, 5-10 cm wide, glabrous and glandular (Bogdan, 1977). Fruits contain between two

and nine seeds per pod and do not shatter. The seeds are orbicular, oval to flattened,

sometimes speckled. The hilum is small and white. Seed size varies from 6-28g per 100

seeds (Purseglove, 1974).

Pigeonpea has a wide range of products, including the dried seed primarily used as

dahl (a processed, dehulled, split seed). The green pod and immature seed are used as green

vegetables while the leaf and stem are used for fodder and for soil improvement, with the

dry stem used as fuel. It makes an outstanding contribution to home production systems by

enhancing both human nutrition and soil nutrient content (Snapp et al., 2003). Faris et al. ,

(1987) further reported that in addition to protein, pigeonpea provides carbohydrates and

five fold higher levels of vitamin A and C than greenpea (Pisum sativum L.).

According to Whiteman et al., (1985), the crop is most commonly grown for its dry,

split seed (dhal), which has a protein concentration of approximately 20-25%; but the

immature seed is also eaten as green vegetable. Dry seed and the by-products of dhal

manufacture, as well as leaf and pod-wall residues after harvest, can provide suitable feed

for ruminants, which may also graze the standing crop (Whiteman et al., 1985). The

potential for wider consumption and commercialisation of pigeonpea is indicated by an

expanding global market for pigeonpea products (Jones et al., 2002). The export potential of

split pigeonpea (dhal) is high as it is exported to India, the Middle East, Europe and North

America. By promoting processing and widening the scope of utilization of pigeonpea for

local consumption and export, both production and productivity can be substantially

increased (Tuwafe et al., 1994).

In Nigeria, Tabo et al., (1995) reported that the grains are prepared into various

dishes such as yam porridge meal and maize/pigeonpea porridge “ayalaya” for human

consumption. It is also used as a soup thickener. The grains substitute for cowpea in

“akara” balls, can be cooked as “moi moi”, and fermented to produce “Dawadawa” for

food seasoning.

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Snapp et al., (2003) reported that in the Caribbean region, there is persistent demand

for vegetable pods and peas, both canned fresh. Indian and Afro-Caribbean communities

around the globe offer new markets for dahl. In addition to food uses, pigeonpea is reported

to have outstanding soil amelioration and conservation properties. The growth habit

facilitates soil protection, as the canopy continues to expand for 4 months in the dry season

after other crops are harvested when living and senescent pigeonpea leaves may be the only

source of cover in semi –arid agroecosystems. According to Rao et al., (2002), pigeonpea

leaves are reported to have characteristics that promote soil fertility benefits, such as low

lignin levels and high nitrogen content. Pigeonpea nodulates with a wide range of

Rhizobium strains and consistently fixes 20 to 140 kg ha-1

N in infertile soil (Anderson et al.,

2001). The vigorous root system explores a large soil volume and recycles nutrients from

deep in the profile (Johanson, 1990). Further, pigeonpea root exudates have the unusual

ability to solubilize iron-bound phosphorus from some soil types (Ae et al., 1990).

Among pulse crops, pigeonpea is unique, apart from some lupin species, in its

utilization also as an annual crop as well as its use in agroforestry and shifting cultivation

systems and as a source of forage for livestock. Whiteman, et al., (1985) reported that

because of its great diversity of habit and use in quite contrasting production systems,

greater differences exist in growth and development among genotypes adapted to the various

production systems than exists in many other crops.

Maize (Zea mays L.) belongs to the family Poacea and according to IITA (2007), it is

the most important cereal crop in sub-Saharan Africa and, with rice and wheat, is one of the

three most important cereal crops in the world. IITA (2007) further reported that maize is

high yielding, easy to process, readily digested, and cheaper than other cereals.

Maize is an annual monoecious plant with erect cylindrical stem of 0.5-5.0m high

and 2-7cm thick. The leaves are 8-21 in number but usually about 14 are arranged one on

each stem node. They include a leaf sheath which firmly embraces the stem, and a broad

linear leaf blade with a small ligule where it is attached to the stem. It has advantitious roots

developed from the lowest nodes of the stem immediately above the mesocotyl, which are

close together and about 2.5cm below the soil surface. The roots penetrate down to a depth

of 30-40cm and spreading to a diameter of 10-20cm.

In industrialized countries, maize is largely used as livestock feed and as raw

material for industrial products, while in developing countries like in Nigeria, it is mainly

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used for human consumption. In sub-Saharan Africa, maize is a staple food for an estimated

50% of the population, and important source of carbohydrate, protein, iron, vitamin B, and

minerals. Africans consume maize as a starchy base in a wide variety of porridges, pastes,

grits, and beer. Green maize (fresh on the cob) is eaten parched, baked, roasted or boiled,

playing an important role in filling the hunger gap after the dry season. Maize has been in

the diet of Nigerians for centuries as a subsistence crop but has now risen to a commercial

crop on which many agro-based industries depend on as raw material (Iken and Amusa

2004) . According to Alabi and Esobhawan (2006), most cultivation of maize in Nigeria,

unlike in the temperate countries, is in intercropping. Therefore intercropping research

involving maize will be of immense importance to the traditional farmer who also intercrop

pigeonpea mostly.

Andrew and Kassam (1976), defined intercropping as growing two or more crops

simultaneously on the same field. Crop intensification is in both time and space

dimensions.There is intercrop competition during all or part of crop growth. Farmers

manage more than one crop at a time in the field. Cropping system was also defined as the

cropping patterns used on a farm and interaction with farm resources, other farm enterprises

and available technology which determine their make-up. Andraw and Kassam (1976) also

defined cropping pattern as the yearly sequence and spatial arrangement of crops and fallow

on a given area, and sole cropping as where one crop variety is grown alone in pure stand at

the normal density. Ratoon cropping is the maintenance of crop regrowth from living stumps

after harvest. It is a form of continuous cropping. Intercropping and ratoon cropping

systems are all practised with pigeonpea and have practical benefits.

In intercropping, crops can be mixed in different proportions. In additive series the

component crops are mixed at the recommended sole crop population densities (Baker,

1979). In replacement or substitutive mixture series, the combined densities of the crops

maintain the same population pressure as in sole crops. Improved ground cover achieved by

an additive intercrop contributes to reduced soil erosion and hence better retention of soil

fertility particularly when spreading type cultivars are used as the shorter component (Fukai

and Trenbath 1993). Fukai and Trenbath (1993) suggested that the most productive

intercrops are additive ones involving components differing greatly in growth duration.

Maximum output should be obtained with sequences of “high yielding” crops in compatible

mixtures. In practice, this pattern has evolved in relation to the traditional resources at low

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and intermediate inputs circumstances where several crops are planted and harvested in

mixtures at different times. Intercropping research involving pigeonpea and maize has not

been common and will be of great importance and benefit considering their economic values

to the farmer. Much of the intercropping work done in ICRISAT, India, had mostly been

with pigeonpea and millet (Penisetum glaucum L.) and sorghum (Sorghum bicolar L). It

would be very desirable to evaluate those newly released pigeonpeas of differing growth

parterns and duration with maize (Zea mays) under Nigerian condition in the humid tropical

lowland conditions of Nsukka where maize is more popular and more widely grown than

millet or sorghum.

Seed yields obtained from pigeonpeas in traditional farming systems are reportedly

low (Whiteman et al., 1985). It is also noted that the major production system of

intercropping of late-maturing pigeonpeas necessarily restricts the yield potential in the

farmers′ fields. Snapp et al., (2003) reported that research attention to pigeonpea remains

limited. Australia and India are two of the few countries to have made significant

investments in pigeonpea research along with the International Crops Research Institute for

the Semi-Arid Tropics (ICRISAT).

Midmore (1993) reported that suitable land areas for food production remain fixed or

are diminishing, yet farmers and agronomists are faced with the task of increasing

production. Successful crop mixtures extend the sharing of available resources over time and

space, exploiting variation between component crops in such characteristics as rate of

canopy development, final canopy width and height, photosynthetic adaptation of canopies

to irradiance conditions and rooting depth.

Much studies involving the ICRISAT short- and medium-duration varieties in

mixture have not been done under the Nigerian conditions. Rao and Willey (1980) had

earlier indicated that the slow establishing and later-maturing pigeonpea combined well with

earlier cereals and legumes to give very large yield advantage as measured by the Land

Equivalent Ratio (LER) under the Indian conditions.

Pigeonpea production is penetrating the Nigerian traditional farming system.

However, not much work has been done across the ecological zones using improved short-

duration and medium-duration varieties to replace poor yielding, tall and long-duration

varieties currently used by the farmers. Tabo, et al., (1995) reported that farmers asked for

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high yielding, shorter duration varieties with softer, faster cooking grains, and varieties

suitable for alley cropping.

Since there is limited land and other production resources at the disposal of the

traditional farmer, the approach to improve the crop yields per unit area through simple,

adaptable and sustainable technologies such as intercropping with improved genotypes, will

be of great advantage. Giller et al., (1997) had stated that proposed interventions in soil

fertility management must generate cropping systems that are productive, sustainable and

economically attractive for small holder subsistence farmers. Jagtap and Adamu (2003)

reported that farmers may rapidly adopt improved technologies that cost little or nothing or

one within their reach and that can contribute to increasing their productivity. Kimani (1991)

reported that improved long (9 months), medium (6 months) and short (4 months) duration

pigeonpea cultivars have been developed and released by ICRISAT. Although these

varieties showed high yield potential under research environment, their performance under

farmer condition are yet poorly documented.

There is a need to adapt and adopt the newly developed pigeonpea genotypes into the

popular farming systems of the local farmers. The opportunity offered by the compatibility

of legume/cereal intercropping requires a planned study using the newly released ICRISAT

genotypes in a pigeonpea/maize intercropping system research in Nigeria. There is little or

no published literature information of ICRISAT pigeonpea genotypes intercropped with

maize under Nsukka derived savannah agro-ecology condition.

The present study has the following objectives:

i. To assess the growth and yield of five improved and one local pigeonpea genotypes in

mixtures with two maize genotypes under late season cropping.

ii. To assess the intercropping efficiency over sole cropping using LER and cost/benefit

ratio.

iii. To evaluate the general morphological and agronomic attributes of the pigeonpea

genotypes that might have relevance to competitive advantage of each genotype in

mixture with maize.

iv. To study the insect pest problems in the field and to achieve efficient post-harvest

storage.

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CHAPTER TWO

LITERATURE REVIEW

Reasons for Intercropping Practices

According to Boquet and Breitenbect (2004), much of agriculture in the developed

world had for a time embraced potentially non-sustainable systems

for economic reasons,

over-utilizing monocropping, specialization and mechanization, which were damaging to

soils and the environment. The widespread adoption of cropping systems that are sustainable

and environmentally benign is essential for the long-term survival of civilization. Sullivan

(2003) reported that multiple cropping systems are prevalent in many parts of the world and

farmers in the temperate region have used alternating strip of corn and soybeans. Ghosh

(2004) posits that intercropping offers to the farmer the opportunity to engage nature’s

principle of diversity at their farms. Spatial arrangements of plants, planting rates and

maturity dates must be considered when planning intercrops. According to Keating and

Carberry (1993), efficient use of resources is a major reason given for intercropping and this

objective is achieved by managing the way component crops compete for the available

resources of solar radiation, water and nutrients. Davis and Wolley (1993) reported that

intercropping offers a means for farmers in tropical countries to continue to respond to

changes in their condition, by intensifying their land use in a suitable way, and maximizing

the use of their resources. Planting intercrops that feature staggered maturity dates or

development periods takes advantage of variations in peak resources demands for nutrients,

water, and sunlight. Having one crop mature before its companion crop lessens the

competition between the two crops.

According to Iken and Amusa (2004), intercropping is used by subsistent farmers

primarily to increase diversity of products and stability of annual output at their farms.

However, with rapid increase in farm population and less chance of bringing new lands

under cultivation, intercropping seems to be an attractive way to increase productivity and

intensify land use. Most of the farmers have small holdings and desire to develop

appropriate techniques of growing field crops in association with each other without too

much intercrop interference and competition. Multiple cropping is a solution as the use of

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multiple crops in a single field also reduces the amount of herbicides or fertilizers applied to

that field at any time.

Mutsaers et al., (1993) described intercropping of two or more crop species with

contrasting growth habits as a time-honoured practice in the humid tropics and identified

three major potential advantages as:

- better use of physical resources (solar radiation, mineral nutrients and water).

- higher labour productivity than sole cropping and

- reduction of risks compared with sole cropping.

Willey (1979) reported that a yield advantage occurs because component crops differ

in their use of growth resources in such a way that when they are grown in combination they

are able to complement each other and to make better overall use of resources than when

grown separately. The component crops are not competing for exactly the same over all

resources and thus intercrop competition is less than intracrop competition. Intercropping

advantages are more likely to occure where the growth patterns of the component crops

differ in time so that the crops make their major demands on resources at different times

giving a better temporal use of resources. Krantz et al., (1976) reported upto 73% yield

advantage with various 80-to-100-day crops/180-day pigeonpea. Crookston and Kent,

(1976) reported that there is the possibility of combining crops which have different inherent

responses to light. The top of the canopy would consist of a component with a high light

requirement like a C4 plant and the bottom a short C3 component with a low light

requirement. A paticular good example of efficient spatial use of light would seem to be

′multi-storey' cropping where crops ranging from tall trees to low growing annuals form

different canopy layers with each crop appearing well adapted to its particular light niche.

According to Willey (1979), component crops may exploit different soil layers, thus in

combination they may exploit a greater volume of soil. Component crops may have their

peak demands for nutrients at different stages of growth which may help to ensure that

demand does not exceed the rate at which nutrients can be supplied. A rather different

temporal effect could occur where nutrient released from one crop as a result of the

senescence of the plant parts are then made more readily available to another crop.

Mead (1979) reported that it is clear that intercropping can give substantial yield

advantage compared with monocropping in the sence of requiring less land to produce same

yields of the component crops and it is also clear that intercropping will continue as a

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common practice and that there is a need for a substancial experimental programme to

investigate agronomic practice in intercropping. Rao (1980) reported that there is

consisderable scope for increasing pulse production by popularizing improved methods of

intercropping with arable as well as orchard crops, extending to non-traditional areas,

cultivating in off season, or double cropping of hitherto simple cropped areas.

Intercropping is a favoured multiple cropping practice because it provides increased

protection against erosion, insures against crop failure, and helps to spread labour and

harvesting more evenly during the growing season while minimizing storage problems.

Olasantan (1988) attributed increased water infiltration rate in an intercrop to increased

earthworm activity as a result of lower soil temperature which may favour multiplication

and growth of soil micro-organisms. Singh et al., (1986) reported a greater populations of

active soil bacteria under maize/legume intercrops.

Legumes in intercropping systems.

Hall (1995) reported that the ability of legumes to combine symbiotically with the

soil bacterium, genus Rhizobium, to fix atmospheric nitrogen and convert it into forms

available to other organisms is vital to the biosphere, being an important part of the nitrogen

cycle. In mixed cropping this potential is exploited and indeed maximized by growing

legume crop species with non-legumes. From such a mixture one would expect a land

equivalent ratio (LER) well in excess of 1.0 because the two species would be obtaining

their supplies of the major limiting nutrient nitrogen from different sources.

According to Stern (1993), the beneficial effects of legumes (Family Fabaceae) in

farming systems, due to their contribution of nitrogen, have been observed by succeeding

generations of farmers and agronomists. Various species of legumes have been used for

centuries in crop rotations, as green manure crops and in intercropping systems of various

kinds. Their residues and decaying materials contribute to soil organic matter (SOM) and

microbes assist in the break down and mobilizational release of nitrogen. The nitrogen

contained in the SOM is generally stable. A small proportion of the order of 1-3% becomes

available to plants through mineralization to in-organic form and this has the potential to re-

enter the nitrogen cycle (Ladd, 1990). Kanyama-Phiri et al., (1998) and Snapp et al., (1998)

reported that on-farm trials have shown that pigeonpea can produce over 2 t ha-1

of high-

quality residues without any fertilizer inputs on degraded soils and steep mountain slopes of

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Southern Malawi, providing one of the only cost-effective and sustainable sources of

nutrients for poorer farmers.

In Nigeria, Tabo, et al., (1995) reported that farmers were aware of the benefit of

pigeonpea on soil fertility accrueing from the accumulation of leaf litter on the soil surface

and Nitrogen-fixing root nodules in the soil. It was reported that corn grain yields after a

pigeonpea fallow reflected nitrogen fertilizer equivalence of about 50 kg ha-1

N in Malawi

and Benin studies (MacColl, 1989; Versteeg and Koudokpon, 1993). Yield enhancement of

cereals after a pigeonpea fallow has also been observed in Kenya and Cameroon (Degrande,

2001, Onim et al., 1990). After 2 years of intercrop or rotation with pigeonpea, corn yields

increased from about 3 to 4.6 t ha-1

compared with sole-cropped corn.

Stern (1993) reported that seeds harvested from the component crops is likely to be

the largest source of nitrogen loss from the intercrop system and can range from 50 to

150KgN/ha. He also noted that in an intercrop situation, the amount of nitrogen fixed by the

legume depends on the phenology and morphology of the species or cultivar, legume density

in the intercrop mixture and on general crop management. The amount of nitrogen fixed by

the legume can range between 50 and 300 kgN/ha. In general, it has been found that the

amount of atmospheric nitrogen fixed by the legume declines with increasing native soil

nitrogen.

Cereal/ Legume Intercropping Production Systems.

According to Dahmardeh, et al., (2010); cereal-legume intercropping plays an

important role in subsistence food production in both developed and developing countries

because it helps maintain and improve soil fertility. Fujita et al., (1992) reported that

Cereal/legume intercropping increases dry matter production and grain yield more than their

monocultures. When fertilizer N is limited, biological nitrogen fixation (BNF) is the major

source of N in legume-cereal mixed cropping systems. The soil N use patterns of the

component crops depend on the N source and legume species. Nitrogen transfer from

legume to cereal increases the cropping system's yield and efficiency of N use. The distance

between the cereal and legume root systems is important because N is transferred through

the intermingling of root systems. Consequently, the most effective planting distance varies

with type of legume and cereal. Mutual shading by component crops, especially the taller

cereals, reduces BNF and yield of the associated legume. Light interception by the legume

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can be improved by selecting a suitable plant type with suitable architecture. Planting

pattern and population at which maximum yield is achieved also vary among component

species and environments. Crops can be mixed in different proportions from additive to

replacement or substitution mixtures.

Davis and Wolley (1993) reported that legumes are normally dominated by cereals

or cassava with the possible exception of pigeonpea, which can be a very competitive crop.

Snapp et al., (2003) reported that in intercrops, commensalisms is occassionaly effected.

Commensalism is loosely defined as one organism gaining benefits from another without

damaging or benefiting it. An exemple is when one crop modifies the microenvironment to

suit another.

Fukai and Trenbath (1993) reported that in an intercrop, when growth is limited by

the availability of a particular resource, the ability of a component crop to gain better access

to the resource determines its competitiveness. Superiority of access to a resource may be

decided by fine details of plant form or physiology. Thus the typically deeper root system of

a legume can give it an advantage over a cereal crop in access to water or nutrients that are

present in the lower soil profile. They also inferred that once a particular component

develops better access to the limiting resource and begins to deny supplies to the other, the

component tends to become progressively more dominant while the growth of the other

component may be suppressed almost completely.

Snapp et al., (2003), reported that long duration pigeonpea cultivars are generally

planted simultaneously as an intercrop with a cereal at the beginning of the rainy season.

Cereals generally are harvested towards the end of the rainy season, and pigeonpea

developes rapidly on residual moisture after harvest of the companion crop. They recognized

that a ratoon system is used in some areas after the stem are cut back to facilitate re-growth,

and a second crop is harvested in the subsequent season.

Generally, long-duration crops (e.g. pigeonpea) usually have slow early growth and

hence photosynthetic active radiation (PAR) interception is low (Fukai et al., 1984).

Therefore solar radiation which would be otherwise wasted during early growth stages can

be utilized by an associated crop growing between the rows of the late maturing crop. Rao

(1980) reported that the prolonged slow growth of pigeonpea and its adjustability to wide

row spacing provide an excellent opportunity for growing early maturing intercrops so that

early season resources can be used efficiently. The commonly grown intercrops are the

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competitive cereals (sorghum, maize, millets, rice) or cash crops with growth pattern similar

to pigeonpea (cotton, castor). According to Cenpukdee and Fukai (1992), a large time gap

with favourable conditions between the harvesting of the component crops ensures that the

late-maturing crop has sufficient time to develop a complete canopy and root system to

capture as much of the remaining resources as possible. The greater the fraction of the

growing season available before its own harvest, the closer its yield in the intercrop to that in

sole crop (Rao and Willey, 1983b). The late-maturing crop also utilizes resources (e.g.

residual water) which might otherwise be wasted. According to Fukai and Trenbath (1993),

the removal of the early maturing crop releases the plants from suppression. They also

reported that flowering and grain production were better in intercropped plants that had

smaller vegetative structure than in their corresponding sole crops. The plants are often able

to produce a moderate grain yield on a relatively small body. Studies by Enyi (1973) showed

that maize intercropped with either beans or cowpeas had lower yields than maize

intercropped with pigeonpea, probably because the high rates of nutrient absorption by the

two legumes coincided with uptake by the maize harvested.

Sivakumar and Virmani (1980) reported intercropped and sole maize yields of 3,500

kg/ha and 3,518 kg/ha, respectively, while the yields of intercropped and sole pigeonpea

were 1,520kg/ha and 1,833 kg/ha, respectively. The bulk of dry matter accumulation in sole

pigeonpea was in its stems mostly between 100 and 150 days after planting, after which

pods and seeds accumulated a fair amount of dry matter at the period coinciding with rapid

leaf senescence. Even after the maize was harvested, pigeonpea did not show an appreciable

accumulation of dry matter up to 120 days after planting. Its total dry matter reached only

63% of the maximum at harvest when stem fraction was the dominant dry matter

component. The habit of pigeonpea in pure stands resulted in a very low utilization of PAR

in the first 80 days after planting and it is logical to modify this situation by growing a short

duration cereal crop with the expectation of a substantial reduction in the legume yield.

Land Equivalent Ratio (LER).

According to Fukai and Trenbath (1993), intercropping productivity depends on the

genetic constitution of the component crops, the growth environment (atmospheric and soil)

and agronomic manipulations of the microenvironment. The interactions of these factors

should be optimized so that the limiting resource is utilized by the intercrop. An

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understanding of the sharing of resources among component crops will help identify the

most appropriate agronomic manipulations and cultivars for intercrops. Davis and Wolley

(1993) reported that an important aspect of intercropping system is the extent of competition

between the crops. Where this is large, there is likely to be a significant genotype x cropping

systems interaction.

Because competition in intercropping usually results in a different proportion of final

yields than from sole cropping, Willey (1979) concluded that the most generally useful

single index for expressing the yield advantage is probably the Land Equivalenr Ratio

(LER), defined as the relative land area required as sole crops to produce the same yield as

intercropping:

LER = SB

YB

SA

YA , where

YA and YB are the individual crop yields in intercropping and SA and SB are their yields

as sole crops. According to Mead and Willey (1980), the advantages of the LER are that it

provides a standardized basis so that crops can be added to form “combined” yields and

comparison between individual LERs (LA and LB) can indicate competitive effects. Of

primary importance, the total LER can be taken as a measure of the relative yield advantage,

e.g. the LER of 1.2 indicates a yield advantage of 20% or, strictly speaking, that 20% more

land would be required for sole crops to produce the same yields as intercropping.

In a pigeonpea intercrop studies with millet genotypes and sorghum genotypes, Rao

and Willey (1980a) reported that early maturing millet gave a total Land Equivalent Ratio

(LER) value of 1.78 and also more monetary returns. Early maturing and/or short stature

sorghum produced large LERs of 1.51-1.59, while a tall sorghum gave LER of 1.30 and less

returns. Intercropping any of the cereals with pigeonpea gave a large increase in net

monetary return compared with sole cropping, emphasizing the widespread usefulness of the

intercropping systems. Tom (1995) reported LER values greater than 1.0 when three

pigeonpea short- duration genotypes were intercropped with an open pollinated maize

(FARZ-7) in Nsukka. LER values of 1.33, 1.38 and 1.78 were reported for pigeonpea

genotypes ICPL 84023, ICPL 151 and ICPL 87, respectively. This showed that the

pigeonpea genotypes yielded differently in the intercropping system.

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Benefit/cost ratio analysis

Cost-benefit analysis according to John-Rey (1997), identifies, quantifies and

subtracts all the negatives -the costs from the benefits. The real trick to doing a cost-benefit

analysis well is making sure you include all the costs and all the benefits and properly

quatify them.

- Profit is declared when total revenue is greater than total cost.

- Loss is incurred when total revenue is less than total cost.

- Benefit/cost ratio = cost Total

realised Revenue

- Gross margin (%) = 1

100

Revenue Total

cost Total - ueTotalReven

Mburu et al., (2007) reported that measuring the cost of production is important if a

farmer wants to know whether or not he is making profit. Cost-benefit analysis states

that if a project is to proceed on a successful basis then total benefits should outweigh

total costs. Nwosu (1981) reported that resource use efficiency on the average is higher

for crop mixtures than for sole crops and that gross return per hectare is generally higher

under mixtures than in sole crops.

Crop Genotype.

According to El-Titi (1995), the genotype of a plant species has many different

implications for the crop production. It determines the yield potential under a given

environment, the quality of the product and its resistance to pests and pathogens. The

characteristics of the crop cultivar can have profound effects on the levels of nutrient

exploitation, on residual nutrients in soil and on soil microflora through root exudates. A

deliberate diversification of the crop genome in a given environment offers a potential tool

to counter these problems.

Davis and Wolley (1993) reported that plant varieties may respond differently to

their environment, climate, soil and crop management. The most important aspects to

consider are the extent of competition between the crops and the variation in competition

ability among cultivars. Where the variation in competition among cultivars is large, there is

likely to be highly significant genotype x cropping system interaction. According to Willey

(1979), crop genotypes should be selected to minimize intercrop competition and maximize

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complementary effects. Achieving earlier maturity of the early component is likely to be a

valid and acceptable effect.

According to Fukai and Trenbath (1993), crop yield is an end product of many plant

growth processes which interact with the environment. The yield of the crop is based on its

genetic constitution. And for a given cultivar, it is commonly determined by the availability

of environmental resources (e.g solar radiation, Co2, nutrients and water). High crop yields

are obtained when particular cultivars are grown in such a way that they utilize limiting

resources efficiently and mature before the resource limitation or environmental factor

becomes too severe. Choice of the correct cultivars and agronomic manipultions to ensure

the most efficient use of limiting resources is a key element for high crop yield.

Van der Maesen et al., (1981) reported that collection (approximately 5000

accessions) of pigeonpea now forms the basis of the world collection of some 8900

accessions maintained at ICRISAT. Approximately 90% of accessions have been collected

in India which is the principal centre of diversity of pigeonpea. Only limited collections

have been made so far from other countries in Asia, Africa, Central and South America and

Australia. Systematic descriptions of the germplasm on the basis of standard descriptors

(Anon 1981) and the results of screening for specific characteristics such as resistance to

insects, pests, diseases, waterlogging, photoperiod response, annuality and plant habit are

now stored on computer for rapid retrieval and use (van der Maesen et al., 1981). The

collection is maintained by ICRISAT using controlled self-pollination of plants within each

accession.

Upadhyaya, et al., (2006), reported that inspite of its multiple uses, pigeonpea

germplasm has been used at ICRISAT primarily for developing high grain yielding varieties

of different maturity groups, as sources of resistance to major diseases and insect pests and

for other simply inherited traits. Pigeonpea genotypes are generally grouped into four

categories based on growth/maturity duration of extra short-duration (<105 days), short-

duration (105-145days), medium-duration (146-199days), and late-maturing (above

200days) cultivars (van der Maesen, 1989). It has been reported that several cultivar types

or evolutionary forms can be recognized in pigeonpea based on plant type, crop duration,

photoperiod sensitivity, flower number and inflorescence size, pod and seed dormancy,

seedling vigour, habitat preferences, and biochemical constitution. These cultivar types are

of immense agronomic significance to their suitability to different agroecologies, time of

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planting, types and levels of cultivation, consumer preferences, and the use for which the

crop is grown.

Pigeonpea production traditionally in India involves photoperiod sensitive medium

and late-maturing cultivars (Sharma et al., 1981) intercropped with cereals (maize,

sorghums and millets) and with various other short-duration legumes and vegetables (Ali,

1990). Tabo et al., (1995) reported that in Nigeria, perennial types with white or brown

seeds and 3-4 seed per pod types were most commonly grown, and remain in the field for

two years. Plants mature in 7-8 months and grow to a height of 2-3m. Farmers retain seeds

or purchase from the market for sowing in the following season.

The developed early-maturing pigeonpea cultivars are relatively photoperiod

insensitive; they flower and mature in less than 80 to 150 days (Singh et al., 1990).

Development of these cultivars permits the use of pigeonpea in double or multiple cropping

systems distinct from the traditional use as a two-season crop (Chauhan et al.,. 1993;

Troedson et al., 1990). According to Willey (1979) using modern cultivars in combination

with improved crop management techniques and improved intercropping systems have the

potential to use the moisture supplied by the rains and the nutrients available more

efficiently. According to Whiteman et al., (1985) the outstanding ability of pigeonpeas to

survive in marginal environments, their drought tolerance and ability to recover after severe

environmental or biotic stress are the major reasons for the crop′s success in subsistence

agricultural systems in the semi-arid tropics

Phenology of Pigeonpea

Whiteman et al., (1985) defined phenology as the sequence of developmental events

involving times to germination, emergence to flowering, flowering to fruit fill to harvest and

to ratoon crop development. They reported that germination of pigeonpea seeds is not

normally limited by hardseededness although some genotypes have well-developed hard

seeds. Pigeonpea germinates most rapidly at 20-30 oC and only poorly at temperatures

below 19oC (de Jabrun et al., 1981). Whiteman et al., (1985) further reported that the

duration of vegetative phase is extremely variable, depending upon genotype, photoperiod,

temperature and, moisture status, all of which interact to determine time of flowering.

Depending on the genotype, days to flowering can range from about 60 to more than 200

days for sowing made prior to the longest day at 17 oN (Green et al., 1979). Growth rates of

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pigeonpea from emergence to canopy closure are relatively small. The duration of fruit

filling and ripening depends on the synchrony of flowering and on climatic conditions.

Whiteman et al., (1985) reported that because of their perennial habit, pigeonpea plants

remain vegetative even at fruit maturity. This enables ratoon growth after harvest of the

plant crop, and two or more subsequent harvests are possible. Rao (1980) reported that

cropping can be extended in the post rainy season by allowing the pigeonpea stuble to ratoon

which can be maintained for grain or forage. Borget (1992) reported that pigeonpea could

fruit for 3-5 years or more in favourable conditions.

Sharma et al., (1978) compared the ratooning ability of early- , medium- and late-

maturing cultivars. Early cultivars produced ratoon yields equal to the plant crop, but the

plant-crop yields were relatively small. Medium cultivars produced seed yields in the ratoon

crop equal to about 50% of the plant crop, while late cultivars (238 days to first harvest)

grew vegetatively after plant crop harvest but did not produce seeds in the ratoon. In the

medium and late cultivars, there were marked differences among genotypes in ability to

ratoon.

Maize Production: Maize requires a temperature range of 18-30oC. It can be grown on a

wide range of soils, but it performs best on well drained; well aerated deep, warm loams and

silt loams containing adequate organic matter and a good supply of nutrients. It can grow

successfully on soils with a pH of 5.0 to 8.0, but 6 to 7 is optimum. In the tropics, maize

does best within 600-900mm of rain during the growing season (Purseglove 1972). Land for

maize should be ploughed, harrowed and rigded, though it could be planted on the flat after

harrowing. Sowing is done in rows with a spacing of 75-100cm between rows to obtain a

population of 50000-66000 plants per hactare. According to Gibbon and Pain (1985), plant

population can vary between 15000 and 90000 plants per hectare. In farmers fields maize

plant density varies greatly between 15000-51000 plants per hectare (Mutsaers et al., 1995),

but can be below the optimum density of 66000 plants per hectare recommended for high

yields (Kang and Wilson 1981).

In Nigeria. Iken and Amusa (2004) recommended a plant population of 53000 plants

per hectare at a spacing of 75cm x 50cm with 2 plants per hill or 75cm x 25cm spacing at 1

plant per hill. Farmers grow maize at very irregular and wide spacing, due to the fact that

most farmers intercrop maize with other crops.

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In the rain forest zones of Southern Nigeria, two crops of maize are possible per

year. Mid March to first week of April for early and August-September for late planting(

Obi, 1991). Weed Control could be manual or chemical using herbicides. Atrazine could be

applied pre-emergence at the rate of 3.0kg a i /ha. Where grass weed predominate, primextra

at 2 5 kg a i/ha could be applied or Lasso/Atrazine at 2 5 kg a i per hectare.

Maize requires a lot of nitrogen for its growth. Thus it does not perform well in poor

soils. On poor soils, 150 kg N, 60 kg P205 and 60 kg k20/ha can be applied in a split dose.

Harvest: The period between planting and harvesting varies considerably between

90-200days depending on the varieties used. Yields of maize vary tremendously according

to the country and the condition under which the crop was grown. In Nigeria, expected yield

range is 2000-3000kg/ha for open pollinated maize and 3000-4000 kg/ha for hybrid maize in

the southern zone (Iken and Amusa 2004).

Pigeonpea Production.

Pigeonpea requires an optimum temperature range of 18 to 38oC, a rainfall range of

between 600 to 1000 mm/yr and does best at a pH between 5-7. It can grow on a wide range

of soils from coarse to fine texture soils but does not tolerate waterlogged condition (van der

Maesen 1989) It is usually adaptable, flourishing in the dry as well as the wet tropics and

sub-tropics. Tuwafe et al., (1994) reported that the crop is grown in several countries in

Africa and the major producers are Kenya, Malawi, Mozambique, Tanzania and Uganda.

Pigeonpeas are grown in a wide range of cropping systems including sole crops,

intercrops with cereals, often with sorghum, maize or pearl millet, or with other legumes

such as groundnuts, cowpea, mung beans and soyabeans, or with long-season annuals such

as castor, cotton or cassava (Willey et al.,1981). Tuwafe et al., (1994) reprted that in Eastern

and Southern Africa, pigeonpea is grown as an intercrop or mixed-cropped with cereals,

short-duration legumes, or other long-duration annuals. Tabo et al., (1995) reported that in

Nigeria, little seems to be known about production level and there has not been a systematic

attempt to evaluate production practices, constraints, and utilization of the crop. Local

pigeonpea was observed growing in a variety of cropping systems in all of the states visited.

All of the following were found as pigeonpea intercrops: cassava, yams, cocoyams, maize,

sorghum, rice, cowpea, bambaranuts, melons and castor. Pigeonpea was seen being tested in

maize-based cropping systems by Taraba Agricultural Development Programme (ADP). It

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was seen in mixed cropping systems with sorghum where rainfall is limiting, while maize

and cassava predominate in areas with better rainfall. Rachie and Silvertre (1977) classed

pigeonpea as a crop that can be cultivated in semi-arid to very humid regions of West

Africa. This crop can therefore be cultivated in most ecological regions of Nigeria although

the level of adaptation to ecological regions may depend on genotypes.

Tuwafe, et al., (1994) reported that concerted research efforts have resulted in the

development of short-duration varieties that can escape drought and provide higher yields.

This allows farmers more flexibility and has facilitates the use of pigeonpea in different

cropping systems. In addition, short-duration pigeonpea can be introduced in areas where

intensive management is feasible option to maximize production. Before commercial

cultivation can be initiated, more research is required on the agronomy of this new crop and

on insect pest and disease management, both in the field and in storage. Despite the

importance of pigeonpea in Africa, research efforts in the region have been limited.

Information is lacking on pigeonpea cultivars suitable for intercropping in drought-prone

areas, and on the role of pigeonpea and other short-duration legumes in maintaining

sustainability as it provides long-term benefits in terms of nitrogen-fixation, increased

phosphorus availability and improved soil structure.

Land preparation: The production of pigeonpea starts with land clearing and cultivation to

obtain a fine tilt. The land should be ploughed, harrowed and ridged to required spacing with

tractor or hand moulded with hoes. It can also be planted on flat bed after ploughing and

harrowing on well drained soils. Tabo, et al., (1995) reported that in Nigeria, land is usually

prepared manually, sowing is done on the flat from May to July, depending on the locality,

and ridges are formed later at the time of the second weeding. Row to row spacing varies

from 1-1.5m and within row spacings from 0.3-1m. Plant stand is highly variable, even on

the same field, with an average of about 2-3 plants per stand. Santos, et al., (1995) used a

spacing of 1.0 0.5m which gave a population density of 40000 plants ha-1

in a preliminary

evaluation of pigeonpea genotypes in Brazil.

Seed rate and planting: A seed rate of 45-67 kg ha-1

and seeding depth of 2.5cm-10cm is

recommended (van der Maesen, 1989). Pigeonpea can be planted at 2 plants/stand and to be

thinned to one plant/stand depending on the spacing adopted. Pigeonpea seedlings emerge 2-

3 weeks after sowing. Vegetative growth begins slowly but accelerates at 2-3 months (van

der Maesen, 1989).

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Nutrient requirement: Pigeonpea can grow on infertile as well as fertile soils. Bogdan

(1977), reported that pigeonpea responded well to P and modestly to K while high N

applications usually reduced yields.

Weed control: Pigeonpea does not compete well with weed during its early growth stage

when growth is slow such that weed control is needed during establishment. Weeds will be

suppressed when crop canopy is well developed.

Harvesting: Pigeonpeas are harvested as green pods or as dry pods, depending on whether

harvested as vegetable or for dry seeds. Rachie and Silvestre (1977) reported that the fresh

seeds of pigeonpea comprised 45% of the weight of the whole fresh pod. In this form they

contain two-thirds water, 20% carbohydrates, 7% protein, 3.5% fibre, 1.5% fat, and 1 3%

mineral materials. Dry, ripe seeds contain about 10% water. 23% protein, 56%

carbohydrate, 8.1% fibre and 3.8% mineral matter. The protein is of resonably good quality

but, like most grain legumes, it is deficient in sulphur amino acids and tryptophan in

comparison with animal protein. Analysis of ′dhal' (without husk) gave the following values:

moisture, 15.2; protein, 22.3; fat (ether extract), 1.7; mineral matter, 3.6; carbohydrate, 57.2;

Ca, 9.1; and P, 0.26%; carotene evaluated as vitamin A, 220 IU and vitamin B1, 150 IU per

100 g. The oil of the seed contains 5.7% linolenic acid, 51.4% linoleic acid, 6.3% oleic acid,

and 36.6% saturated fatty acids. The seed is reported to contain trypsin inhibitors and

chymotrypsin inhibitors. Fresh green forage contains 70.4% moisture, 7.1 crude protein,

10.7 crude fiber, 7.9 N-free extract, 1.6 fat, 2.3 ash. The whole plant, dried and ground,

contains 11.2% moisture, 14.8 crude protein, 28.9 crude fiber, 39.9 N-free extract, 1.7 fat,

and 3.5 ash. (Duke, 1981).

Pigeonpea can produce a moderate yield level of 0.2 to 2.5 t ha-1

across an

impressively broad range of environments (Degrande, 2001; Versteeg and Koudokpon,

1993). According to van der Maesen (1989), pigeonpea is hand harvested in the Tropics.

Ripe pods can be harvested with combine harvesters for cultivars which mature uniformly

with pods at a uniform level above the ground. Tabo, et al., (1995) reported that pigeonpea

is harvested from January to March in Nigeria. Farmers in many places harvested pigeonpea

by picking the pods. In some places, stems were cut at 25-30cm from base and pods were

picked later at home. Most farmers begin to harvest when 90% or more of the pods became

dry to minimize losses due to shattering and dry season bush fires. Pods may be harvested 2-

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3 times, especially on large farms. Pigeonpeas are cut for forage at the pre flowering stage or

when first pods ripen (Bogdan 1977).

Willey et al., (1981) reported intercropping systems involving pigeonpea in which

the yield of the companion crop is not significantly reduced compared with the situation for

sole crop and in which intercropped pigeonpea yielded up to 70% of a sole pigeonpea crop.

Rao and Willey (1983) reported that in traditional systems, pigeonpea studies have shown

that yields can be increased substantially with little or no reduction in yield of the cereal

component of the mixture if the proportion of pigeonpea sown is increased and both crops

are sown at their full sole crop production. Pigeonpea grown on-farm in poor soils and

without inputs produces highly variable yields; from 0.2-2.5 t ha-1

grain and 1.0 to 3.8 t ha-1

l

of the leaf and stems and where a complementary short-duration legume is grown as an

intercrop, it produces an additional 0 to 1.6 t ha-1

(El-Awad et al., 1993. Natarajan and

Mafongoya, 1992, Ritchie et al., 2000, Sakala, 1994, and Snapp, 2000).

According to Whiteman et al., (1985), seed yield per hectare in grain legume crops

has traditionally been divided into the following broad components of number of fruits plant-

1 , number of seeds fruit

-1; mean dry weight seed

-1, and number of plants ha

-1. In general,

the number of seeds fruit-1

and mean seed weight are characteristic of a genotype and are

influenced relatively little by environmental conditions. Artificial shading treatments

reduced the number of fruits plant-1

but had little effect on the number of seeds fruit-1

or on

mean seed weight (Sheldrake, et al., 1979). In most situations, economic yield is determined

largely by fruit number plant-1

which is related to plant size and duration of the crop

(Whiteman et al., (1985). In particular Akinola and Whiteman (1975), reported that the

number of fruit-bearing branches and the length of the stem over which inflorescences are

produced are clearly related to fruit number plant-1

and are affected by crop density, the time

of sowing (in photo-sensitive genotypes) and climatic factors. According to Singh, et al.,

(1995) it is now known that pods per plant is the most important yield-contributing trait in

pigeonpea. In any selection scheme to increase the yield levels in pigeonpea, the maximum

weight should be given to the two traits of pods per plant, and number of primary branches.

As in other grain legumes, a large proportion of pigeonpea flowers abort. Wallis, et al.,

(1983) reported that with appropriate agronomic practices, yields in replicated small plots of

early maturing genotypes have often exceeded 8 t ha-1

fresh pods.

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Diseases and Pests of pigeonpea

Diseases: Reddy et al., (1993) reported that diseases are major biological constraints to

production and that more than 60 pathogens including fungi, bacteria, viruses, mycoplasma,

and nematodes can infect pigeonpeas. Fortunately, only a few of them cause economic

losses. Of these, sterility, mosaic and witches broom are region specific; whereas, others

such as fusarium wilt, are widespread across regions.

Phytophthora Blight.-Caused by Phytophthora drechsleri Tuker f. sp. Cajani is a soil borne

fungal disease. It causes seedlings to die suddenly. Infected plants develop water-soaked

leisions on their leaves. The leaves lose turgidity and become desiccated.

Fusarium wilt (Fusarium udum). It is a seed and soil borne fungal disease. The fungus can

survive on infected plant debris in the soil for about 3 years. Wilt symptoms usually appear

when plants are flowering and podding or earlier when plants are 1-2 months old. A purple

band extending upwards from the base of the main stem is normally seen.

Field pests: According to Shanower and Romeis (1999), insect pests feeding on flowers,

pods, and seeds are the most important biotic constraint affecting pigeonpea yields.

Reed and Lateef (1990) reported that the pod borer (Helicoverpa armigera), pod-sucking

bugs (Clavigralla spp), and the pod fly (Melanogromyza obtusa) are the major pests of

pigeonpea. Ajayi et al., (1995) reported that though more than 200 species of insects are

recorded as pests of pigeonpea, there are relatively few published accounts of insect damage

to this crop in Africa. In their observations on insect damage to pigeonpea in Nigeria, they

reported that the observed insects were thrips, leaf hoppers, leaf feeding caterpillars

(Spodoptera exempta), pod sucking bugs (Clavigralla tomentoscicollis), flower beetles, pod

borers (Maracu testulalis), ants, and spittle bugs. Some hymenopterous natural enemies

were reared from the pod borers and were identified as Habrobracon hebetor. In general,

damage by C. Tomentoscicollis was most prominent. Minja et al., (1999) reported that in

humid regions insect pests cause considerable seed damage from 14% to 69% in the farmers′

fields. Pod suckers and borers are the primary pests. The major insect pests include the moth

Heliothis armigera (a larval pod borer) and Melanagromyza obtuse (the pod fly).

Davis and Wolley (1993) reported that intercropping tends to reduce the incidence

and spread of diseases and pests. According to Trenbath (1993), components of intercrops

are often less damaged by pests and disease organisms than when grown as sole crops; but

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the effectiveness of this escape from attack often varies unpredictably. They further reported

that combining genetic resistance with the benefits of intercropping should result in a more

sustainable control of diseases and pests, reducing significantly the need to apply pesticides

in the field.

Whiteman et al., (1985) reported that two major limitations to yield that can be

manipulated genetically are disease and pest susceptibility. Host plant resistance to insect

attack is an exciting possibility in the search for resistance to pest attacks. Hill and Waller

(1999) reported that Callobruchus maculatus can effectively be controlled culturally in the

field by growing vulnerable crops at least 0.8km distant from farm crop stores which are the

primary source of infestation. Prompt harvest in areas at risk will also reduce attack. He

further recommended that when insecticidal treatment is required, for the control of

Clavigralla spp. in the field, a spray of endosulfan (0.35kg a.i./ha), or fenitrothion (1kg

a.i./ha), permethrin (0.2 kg) or pirimiphosmethyl (0.5kg a.i./ha) can be used.

Storage pests: Dongre et al.,(1993) reported that the cowpea weevil, Callosobruchus

maculatus, is a major pest of pigeonpea and other pulse crops. Generally infestation of

legumes by Callosobruchus occurs in the field and during storage. In the field eggs are

usually glued onto the maturing or drying pods from where young instar larvae will bore

into the seeds. Subsequently at threshing, seeds either show slight or no apparent external

damage (Booker, 1976, Caswell 1968, Southgate, 1978). Although infestation and damage

in the field are generally low, such infestation has serious implications because the insects

multiply very rapidly with very high consequent damage, once the infested seeds are stored

(Taylor, 1981).

According to Ali et al., (2004), the family Bruchidae to which C. maculatus belongs

, exists in every continent especially in tropical regions of Asia, Afrca and central and south

America, except Antarctica. Among storage bruchids, the pulse beetle, C. chinensis and the

cowpea beetle, C. Maculatus, are considered serious pests, causing immense damage every

year to many varieties of the pulse seeds. They are able to generate exceedingly high levels

of infestation even when they passed only one or two generations on the host. The larvae of

both bruchids feed on the pulse seed contents reducing their degree of usefulness to become

unfit to become either for planting or for human consumption. There has been a move

between plant breeders and entomologists to improve grain legume crops by breeding

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varieties that give higher yields and are resistant to the pests that devastate the current

varieties. Halawa (2004) reported that stored product pests do a great deal of damage to

many grains in storage defeating the purpose of grain storage which according to Gharib

(2004) is to increase the net value by holding grain until prices are more favourable.

Several storage studies have been carried out on the effects of C. maculatus on

different pulses. Ali et al., (2004) reported variations in susceptibility of sixteen varieties of

broadbean to C. chinensis and C. maculatus infestation. Dongre et al., (1993) assessed the

resistance of four pigeonpea species to C. maculatus and reported that none of the pigeonpea

accessions tested was found resistant to C. maculatus but they did show different responses

to infestation. Hill and Waller (1999) reported that fumigation with methyl bromide in the

store is very effective.

Anti-Nutritional Factors in Pigeonpea: Ahmed et al., (2006), reported that food grain

legumes represent the main supplementary protein source in cereal and starchy food–based

diets consumed by large sectors of the population living in developing countries. According

to Bressani, (1993) nutritional considerations of grain legumes are divided into two large

groups: positive and negetive factors.The positive factors include high protein and lysine

content, which allow legumes to serve as excellent protein supplements to cereal grains.

The negative factors acording to Bressanni, (1993) fall into two sub-groups of Antintritional

factors such as enzyme inhibitors, flatulence factors, polyphenols, tannin and phytic acid.

The other negative nutritional factors include protein, carbohydrates digestibility and sulfur

amino acid deficiencies. Champ (2002) also reported that the main benefits of the minor

biotic substances of pulses are:

- the anticarcinogenic properties of protease inhibitors, phytic acid, phyto-oestrogens

and lignans, saponins and phenolic compounds.

- the decrease of blood glucose associated with pulses as well as the role of the starch

and dietary fibre present in large amounts in pulses.

Binita and Khetarpaul (1997) reported that the antinutritional factors interfer with metabolic

process so that growth and bioavailability of nutrients are negetively influenced. Tannins are

capable of lowering of lowering available protein by antagonistic competition and can

therefore elicit protein deficiency syndrome, ′Kwashiorkor' (Maynard 1997). It imposes an

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astringent taste that affect palatability, reduce food intake and consequently body growth. It

also binds to both exogenous and endogenous proteins including enzymes of the digestive

tract, thereby affecting the utilization of protein (Bagepallis et al., 1993, Aleto, 1993, Sotelu

et al., 1995). Phytic acid can bind to mineral elements such as calcium, zinc, manganese,

iron and magnesium to form complexes that are undigestable, thereby decreasing the

bioavailability of these elements for absorption. Maynard (1997) reported that phytic acid

has complicated effect in human system including indigestion of food and flatulence.

According to Mulimani and Paramjyothi (1995) pigeonpea, an important pulse crop of India,

is a valuable source of protein, minerals, and vitamins for human nutrition. However, it is

known to contain anti-nutritional factors. Trypsin inhibitory activity (TIA) and

Chymotrypsin inhibitory activity (CIA) are observed only in the seed coat (238 .0 +- 0.50

trypsin inhibitory units g-1

flour and 191.3+- 1.80 chymotrypsin inhibitory units g-1

flour).

The levels of these factors and the role of polyphenolic compounds (tannins) in the bio-

availability of nutrients assume importance in pigeonpea in areas where it is consumed

without cooking when whole and mature or as a developing green seed (Jambunathan and

Singh 1980). Umaru (2007) reported that the low levels of these antinutritional factors both

in pigeonpea and chickpea, which would be further reduced or destroyed on cooking,

suggest no great need for concern. They reported Trypsin inhibitor and chymotrypsin

inhibitor mean values of 9.6 and 3.0 units/mg meal respectively in pigeonpea. Champ (2002)

reported that antinutrients have adverse effects on animals when ingested regularly in large

amounts over a long period of time.

Legumes have to be processed prior to consumption due to their content of

antinutritional compounds, such as trypsin inhibitors, phytic acid, galactosides (Vidal-

Valverde et al. 2002, Ahmed, et al., 2006). Processing techniques such as soaking, cooking,

germination and fermentation have been found to reduce significantly the levels of phytates

and tannins by exogenous and endogenous enzymes found during processing (Mosha and

Svanberg 1990; Iorri and Svanberg 1995). Removal of seedcoat helps in reducing the levels

of these antinutritional factors-a process possible at the home level prior to cooking and

consumption, since it is easy, simple and inexpensive (Mulimani and Paramjyothi 1995)

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Plant Tissue analysis.

Evenhuis and de-Waard (1980) reported that for growth, development and

production, crop plants require a continous, well adjusted supply of essential mineral

nutrients to the roots for uptake and transport to the aerial parts. These nutrients, according

to Mengel and Kirkby (1987) are Nitrogen (N), Phosphorus (P), Potassium (K), Calcium

(Ca), Sulphur (S), Magnesium (Mg), Iron (Fe), Manganese (Mn), Copper (Cu), zinc (Zn),

Molybdenum (Mo), Boron (B), Chlorine (Cl), sodium (Na), Silicon (Si), and Cobolt (Co). In

addition to these are Carbon (C), Hydrogen (H) and Oxygen (O) which are supplied by the

atmosphere. If any of the elements is limited in supply, crop performance decreases and

ultimately results in nutritional disorder. The main factor controlling the mineral content of

plant material is the specific genetically fixed nutrient uptake potential for the different

mineral nutrients. Within plant species, however, considerable differences in the mineral

content occur, which are also partly genetically determined. The second factor controlling

the mineral content of plant material is the availability of plant nutrients in the nutrient

medium. Borget, (1992) reported that the removal of phosphate by pigeonpea from the soil

is always low, but its response to phosphate application is practically always positive.

Generally pigeonpea′s response to potassium is generally positive. The mineral content of

plant is generally expressed on a dry weight basis where fresh plant material has been oven

dried to constant weight.

According to Hinga (1980), the ground plant material can be dissolved either by wet

oxidation or dry ashing for the determination of the mineral content to follow.

Different methods for the analysis of plant tissue mineral content have been developed and

are being used in diferent laboratories. Viets (1980) reported that soil testing and plant

analysis are important means of increasing crop production by the rational use of fertilizers

in combination with the application of other up-to-date management practices.

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CHAPTER THREE

MATERIALS AND METHODS

Experiment 1 investigated the performance of six pigeonpea genotypes which

comprised of five improved International Crops Research Institute for the Semi-Arid

Tropics (ICRISAT) pigeonpea genotypes and a local (Nsukka) pigeonpea genotype in

mixtures with two maize genotypes under the low-land humid tropical agro-ecology of

Nsukka, Nigeria. The five improved pigeonpea genotypes comprised of two short-duration

genotypes (ICPL 87 and ICPL 161) and three medium-duration genotypes (ICPL 85063,

ICP 7120 and ICPL 87119) obtained from ICRISAT/IAR Zaria station Kano while the Local

pigeonpea genotype was a large seeded long-duration genotype obtained from Nsukka

market. The two maize genotypes used were a hybrid maize (Oba super II) genotype

popularly grown in Nigeria and an open pollinated maize genotype (New Kaduna) both

obtained from Molon Agro Services Enugu.

Experiment 1: Assessment of six pigeonpea genotypes under two late maize intercropping

systems.

Experimental site: A pigeonpea/maize intercropping field experiment was conducted under

late season condition in 2005 and repeated in 2006. The 2006 season pigeonpea experiment

crops were also maintained for ratoon crop assessment in the 2007 cropping season. The

experiments were both conducted in the Teaching and Research Farm of the Department of

Crop Science, University of Nigeria Nsukka. Nsukka is located at latitude 6o52

N and

longitude 7o24

E and altitude 447m above sea level. It is within the Low-land humid

tropical agro-ecology of Nigeria. The test crops for the experiment comprised the six

pigeonpea genotypes and two maize genotypes. The six pigeonpea genotypes were

combined with the two maize genotypes to obtain pigeonpea/maize mixture treatments for

two intercrop systems and were equally maintained as sole crop treatments for the sole crop

system for the pigeonpea. Two sole treatments for the two maize genotypes were also

included to give a total of twenty treaments as follows:

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ICPL 87 Pigeonpea sole crop

ICPL 161 Pigeonpea sole crop

ICPL 85063 Pigeonpea sole crop

ICP 7120 Pigeonpea sole crop

ICPL 87119 Pigeonpea sole crop

Nsukka Local Pigeonpea sole crop

ICPL 87 Pigeonpea /Open pollinated maize (OPM) intercrop

ICPL 161 Pigeonpea /Open pollinated maize (OPM) intercrop

ICPL 85063 Pigeonpea /Open pollinated maize (OPM) intercrop

ICP 7120 Pigeonpea /Open pollinated maize (OPM) intercrop

ICPL 87119 Pigeonpea /Open pollinated maize (OPM) intercrop

Nsukka Local Pigeonpea /Open pollinated maize (OPM) intercrop

ICPL 87 Pigeonpea /Hybrid maize (HM) intercrop

ICPL 161 Pigeonpea /Hybrid maize (HM) intercrop

ICPL 85063 Pigeonpea /Hybrid maize (HM) intercrop

ICP 7120 Pigeonpea /Hybrid maize (HM) intercrop

ICPL 87119 Pigeonpea /hybrid maize (HM) intercrop

Nsukka Local Pigeonpea /Hybrid maize (HM) intercrop

Sole Hybrid Maize (HM)

Sole Open Pollinated Maize (OPM)

The treatments were randomly allocated to treatment plots and laid out in

randomized complete block design (RCBD) with three replications.

Soil samples to a depth of 0-30 cm were taken with soil auger at random over the

experimental land area at the beginning of the experiment. The samples were bulked and

mixed thoroughly. A sub-sample was taken and used for physical and chemical analyses for

characterization of the site.

In 2005 and 2006 cropping, the land was ploughed, harrowed and ridged at 1.0m

apart. The land was marked out into three blocks with a spacind of 1.0m between blocks and

1.0m between plots. Each block had 20 plots each measuring 5.0m 3.0m = 15m2. Cross

bars were erected across furrows to check erosion from running water. The treatments were

randomly assigned to the treatment plots in each block by use of Table of Random Numbers.

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Pigeonpea was planted on the two sides of the ridge to give a spacing of 0.5m 0.5m

giving 6 plants on either side of a ridge and 12 plants/ridge. This gave 60 plants per plot,

equivalent to 40,000 plants per hectare. Maize was planted at the crest of the ridges at a

spacing of 1m x 0.25m giving 12 plants/ridge and 60 plants/plot representing 40,000

plants/ha. The same plant population was used under both intercrop and sole crop systems

in additive series. Planting was done in July, 2005 and 2006 respectively. Two seeds were

planted per hole and later thinned to one plant per stand to give the appropriate plant

population at three weeks after planting.

Weed control was manually done by hoeing at 21 and 45 days after planting (DAP).

In the pigeonpea ratoon crops of 2007 cropping season, weeding was done manually in the

months of May and August. Fertilizer application was done manually by banding at 3 weeks

after planting and at the rate of 120 kg N, 60 kg P205 and 80 kg K2O per hectare. Insect pests

were controlled on the pigeonpea by spraying plants with “BEST Action” (Cypermethrin

plus Dimathoate) at the rate of 1.5 litres/ha using knapsack sprayer. Spraying was done at

50% flowering and at podding stages of the pigeonpea when the maize crop had been

harvested in the intercrop systems.

Data Collection.

Pigeonpea parameters: Parameters on growth, pest and yield were taken and

recorded in pigeonpea. They included daily record of seedling emergence which was used

to obtain days to 50% emergence in the treatments. Plant height (cm) was measured from

the base of the plant to the tip of the terminal leaf bud by use of a metre rule. Measurements

were made at two weeks interval up to the flowering stage and then at harvest. Five plants at

the central three ridges of each plot were tagged for this measurement with the average

obtained for each plot. The number of primary branches at flowering stage were taken on

tagged plants and averaged to get mean value per plant. The primary branches were those

that emerged from the main stem of the plant.

Daily count of plants with at least a flower was made on plants of the three central

ridges (i.e.36 plants per plot) in each plot and used for the calculation of days to 50%

flowering. Two representative plants were destructively sampled in each treatment plot at

anthesis and carefully separated into stem, leaf and root fractions. The leaves were counted

to get the average number of leaves per plant and thereafter the fractions were oven dried at

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700C to get the dry matter weight (g) of each per plant. The fifth leaf that was fully

expanded from the apex was obtained from the branches, oven dried and used for N P K and

Ca nutrient content analyses.

Measurement of plant girth (cm) was made at 5cm above ground level on tagged

plants using a venier calipers and averaged to obtain mean value per plant per plot. Pod

dispersion/distribution on the branches from the first to the last pod was measured with a

metre rule and the length (cm) of the pod bearing stem portion on each tagged plant was

taken at harvest. This was averaged to get mean value per plant. Plants were observed

weekly against insect pests incidences/conspicuous damage. Observed insect pests were

carefully counted, the damage to plants recorded, the number of plants affected recorded and

the insect samples taken for identification.

Daily inspection of plants to record pod maturity was conducted. Brown colouration

of pod indicated maturity and time to pod maturity was taken. This record was used to

obtain number of days to 50% maturity. Dry pods were harvested by hand picking from the

tagged plants for yield and yield parameter assessments. The records taken included:

a. The mean number of pods per plant.

b. Average pod length (cm) was based on ten pods taken at random. Usually length of

pod was measured with a meter rule.

c. The mean number of damaged (shrivelled) pods per plant was recorded. Shrievelling

of pod was essentially by insect pest. The pods were carefully separated into good

and damaged ones and recorded. The average number of the damaged pods per plant

was kept. The percentage of damaged pods was also obtained in relation to the total

number of pods per plant.

d. The mean grain yield (g) per plant and threshing percentage (%) were obtained from

properly sun dried pods that were threshed and separated into shell and seed and

weighed separately. The grain yield was later expressed as grain yield in kg/ha.

e. The mean number of seeds per plant was obtained by averaging counted seeds from

the number of sampled plants per plot after threshing and cleaning.

f. The number of shrivelled seeds/plant was obtained after separating shrivelled seeds

from good seeds and dividing total number of shrivelled seeds by the number of

sampled plants per plot.

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g. The average number of seeds per pod was obtained by dividing the total number of

seeds per plant by the total number of pods per plant.

h. 1000 seed weight (g). One thousand seeds were counted from each treatment plot,

weighed and recorded.

i. Percentage of survived ratooned plants: The number of plants that survived as

ratoons from the 2006 crop in the 2007 ratoon year was obtained. The percentage

survival in the 2007 ratoon year was then obtained in relation to the plant population

in 2006.

Maize parameters: The following growth and yield parameters of maize were measured and

recorded.

Plant height.

Five maize plants in the middle of three ridges of each plot were tagged and

measured from the base to the tip of the apical leaf with a metre rule for plant height (cm).

Measurements were taken at two weeks interval. The average for the five plants were

obtained. Daily inspection for tasselling was made on maize in the three central ridges for

the calculation of days to 50% tasselling.

Two plants from the three central ridges per plot were randomly selected and

destructively sampled at tasselling. The maize plants were separated into leaf, stem and

inflorescence. The fractions were then oven dried at 700C to constant weight. The dry

weights were recorded.

The number of maize plants on the three central ridges that had brown cobs were

recorded on daily inspection to obtain the number of days to 50% maturity. Maize cobs

were hand harvested at maturity, dehusked and sun dried. The cobs from the five tagged

plants were shelled, cleaned and the weights of the grains and cobs recorded separately.

They were averaged to obtain grain yield (g) per plant. The grain yield (g) /plant were

thereafter expressed in kg/ha.

Statistical Analysis

Growth and yield data in experiment 1 were analysed for a Randomized Complete

Block Design as outlined by Gomez and Gomez (1984) and Obi (2002). Genstat (3)

Discovery Edition package was used to implement the analyses. Detection of differences

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among treatment means for significant effect was by least significant difference (LSD) at

5% level of probability as obtained from Genstat implementation.

Assessment of intercropping efficiency

From the yield data obtained, the land equivalent ratio (LER) according to Mead and

Willey (1980) was used to assess the intercropping efficiency. The formular is:

LER= SB

YB

SA

YA

Where, YA and YB are the individual crop yields in intercropping, and SA and SB, their

yields as sole crops. LER>1 indicates intercrop land use advantage.

Benefit/cost ratio analysis

According to John-Rey (1997), cost-benefit analysis identifies, quantifies and

subtracts all the costs from the benefits. According to Flannery et al., (2004), the analysis

should be based on the cost of producing the crop and the returns thereof in crop production.

Profit is obtained when total revenue is greater than total cost, and loss is incurred when

total revenue is less than total cost..

- Benefit/cost ratio = cost Total

realised Revenue

- Gross margin (%) = 1

100

Revenue Total

cost Total - ueTotalReven

Benefit-cost ratio value greater than 1.0 implies higher revenue than cost and vice versa.

This also implies gross margin (%) value greater than 50% or less when total cost is

greater than the total revenue realised.

Experiment 2: Assessment of field-to-store insect pests infestation on six pigeonpea

genotype seeds and the residual effect of actellic dust on C. maculatus insect pests.

This was a two-phased storage experiment using the pigeonpea genotypes seeds from the

2005 season cropping. The first phase investigated the phenomenon of field–to-store insect

pests infestation which is very common in pulses affecting their storability. The seeds of the

six pigeonpea genotypes were subjected to zero and two levels of actellic dust (2%) storage

pesticide at half and full dosages to assess emergence and control of any field-to-store insect

pests infestation on the seeds from the field. This was monitored for a period of six months.

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Thereafter the second phase assessed the residual effect of the actellic dust on introduced C.

maculatus insect pest development on the seeds of the pigeonpea genotypes for another six

months.

Phase 1

Treatments consisted of the six pigeonpea genotype seeds and three dosages- 0.0, 0.5

and 1.0g of Actellic dust (2%). The 0.0g dosage was used as the control to allow for the

emergence of any field-to-store insect pests while the 0.5g was half of the normal dosage

and 1.0g was full dosage of the actellic dust for the assessment of the control of infestation

(if any existed) of the field-to-store insect pests infestation on the test seeds. Thirty (30) gm

each of the six pigeonpea genotypes was used per treatment. The Actellic dust rates were

thoroughly mixed with the seeds in each treatments.

Plastic containers of about 6.5cm x 11.5cm with covers were used to simulate

storage containers. Three ventilation holes of about 1.5cm in diameter were made on all the

plastic containers towards the top and covered with fine wire mesh. Evostick gum was used

to hold the mesh firmly on the plastic containers to prevent entrance or escape of any insect

pests. The experiment was arranged in a 6 x 3 factorial and laid out in a completely

randomized design (CRD) with three replications. The pigeonpea seeds and the appropriate

dosage levels of the insecticide were weighed into the plastic containers according to the

treatment schedule and properly mixed to ensure proper dusting of the seeds with actellic

dust. This was monitored for six months from April, 2006 to Sept. 2006 as the first phase of

the experiment.

Phase 2

When there was no emergence of insect pests, five (5) males and 5 females of C. maculatus

were introduced in all the treatments six month later (September 2006) and monitored for

six months (to March, 2007) as the second phase to assess the residual effect of Actellic

Dust on the introduced C. maculatus development based on the treatment schedules.

Data for phase 2

The following parameters were taken after the introduction of C. maculatus storage pest:

1. Daily count of oviposition on 20 sampled seeds from the fourth day to the 14th

day

being oviposition period. This was to get the number of oviposition per treatment

2. Days to first instar emergence.

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3. Daily count and removal of emerged adult insects up to the 45th

day were carried out

to know the number of emerged F1 adult insects. This was used for calculating

susceptibility index (S1) as outlined by Howe (1971) and later modified by Dobie

(1977) as follows. Susceptibility index (S1) = 100 D

LogF ,

where F = Total number of F1 progeny emerged

D = mean developmental period (days), estimated as the time from the middle of the

oviposition period to the emergence of 50% of the F1 progeny.

4. Seed weight loss (g) at the end of the study was taken.

5. Number of insects/treatment at the end of the experiment. The number of insects

(dead and alive) within each treatment were counted and recorded.

Statistical Analysis

The data collected were analysed using Genstat (3) Discovery edition package for statistical

analysis. Detection of differences among treatment means for significant effects was by the

use of least significant difference (LSD) at 5% level of probability.

Experiments 3: Susceptibility of six Pigeonpea genotype seeds to Callosobruchus

maculatus storage pest and evaluation of their seed hardness.

This experiment investigated the susceptibility of the pigeonpea genotype seeds to C.

maculatus introduced on freshly harvested pigeonpea seeds. The storage experiments were

conducted in the Teaching Laboratory of Crop Science Department, University of Nigeria

Nsukka.

Plastic containers as in experiment 2 were used to simulate storage containers. Test

seeds were prefumigated with phostoxin in air-tight polythene bags for 48 hours to disinfect

the seeds of any field-to-store insects and eggs. The seeds were then ventilated in plastic

containers with tops covered with fine wire mesh for ten days to eliminate the effect of

phostoxin.

Thirty grams (30g) seed of each of the six pigeonpea genotypes were weighed into

the plastic storage containers and ten adult C. maculatus insects comprising 5 males and 5

females were introduced to each treatment container and covered. The treatments were laid

out in a Completely Randomized Design (CRD) with three replications. Male and female

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insects were identified with the aid of Helix magnifier hand lense. The adult insects were

left to oviposit for two weeks and then removed. The experiment was monitored for six

months from April 2006 October, 2006. At the onset of the experiment, 20 seeds from each

of the pigeonpea genotypes were subjected to pre-experiment germination test in Petri

dishes lined with moistened filter paper and left under open laboratory condition as a vitality

test of the seeds. At the end of the experiment, a similar post-experiment germination test

was carried out on 20 sampled seeds from the treatments to assess the damage to seeds

caused by the insect pest. Germination count records were kept from which percentage

germination values were obtained.

Data Collected.

Daily record of oviposition on 20 sample seeds was taken from the fourth day to the

14th

day being the oviposition period. The number of oviposition was obtained based on the

number of seeds per treatment. Treatments were monitored and recorded for number of days

to first adult insect emergence. This was followed by the daily record of emerged adult

insects up to the 45th

day to know the number of emerged F1 adult insects. Emerged adult

insects were counted daily and removed. This was used in calculating susceptibility index

(S1) according to the procedure outlined by Howe (1971) and later modified by Dobie

(1977) as earlier described in experiment 2. The values of susceptibility indices were

categorized into five ranks according to the procedure outlined by Mensah (1986) as

follows:

A. The values between 0.0 – 2.5 are considered resistant variety (R)

B. Those between 2.6 – 5.0 are considered moderately resistant variety (MR)

C. The values between 5.1 – 7.5 are considered moderately susceptible variety (MS)

D. The values between 7.6 – 10.0 are considered susceptible variety (S).

E. Those above10.0 are considered highly susceptible variety (HS).

The total number of dead and alive insects per treatment was recorded at the end of

the experiment. Damaged seeds (those with hole(s)) were separated from good or

undamaged seeds and the number recorded per treatment. From the values, percentage

damaged seeds were determined.

In furtherance to getting more information on the attributes of the pigeonpea

genotypes seeds, a replicated Seed hardness test was carried out on the seeds of the six

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pigeonpea genotypes using 30 sample seeds (i.e 10 per replicate) each for the six genotypes.

This was done using Grain Hardness Tester 30 kg F. (km-model No 174886) machine at the

Department of Agricultural and Bioresources Engineering of the University of Nigeria,

Nsukka. Each grain was placed in position in the machine and when started, the machine

exerted pressure or force on the seed while its arm deflected showing the force (kgf) being

exerted until when the grain cracked with a pop sound and automatically stopping the

deflecting arm and the reading recorded.

Data Analysis

The data collected were statistically analysed using Genstat (3) Discovery edition package

employing the procedure for a CRD experiment. Detection of differences among treatment

means for significant effects was by the use of least significant difference (LSD) at 5% level

of probability as suggested by Riley (2001). The coefficient of variability (CV) was also

calculated using Genstat Discovery package.

Chemical Analyses

The following chemical analyses were carried out on plant materials:

1. Samples of the pigeonpea seeds harvested in the 2005 cropping season were

subjected to proximate analysis, mineral analysis for N, P. K and Ca, and for anti-

nutritional factors of Tannins, Phytate, Trypsin-inhibitor and Chymortrypsin-

inhibitor.

2. Pigeopea leaf samples were taken from five randomly selected plants per plot at the

flowering stage in 2005 and analysed for N, P, K and Ca. The leaves were obtained

from the fifth young fully developed leaves from the apex.

Plant Material Chemical Analyses

The plant sample materials (leaf and seed) were oven dried at 70oC to constant weight and

ground with the hammer to pass through a 0.5mm sieve for the chemical analyses.

A. Proximate Analysis of Pigeonpea Seed

1. Determination of Ash.

Silica dishes were heated at 600oC, cooled and weighed. 2.0g of each sample was

weighed and transferred into the silica dish. The weight of each dish was weighed before

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introducing the sample. Each dish with sample content was placed into muffle furnace,

ashed at 600oC for 3 hours and allowed to cool, and weighed.

% Ash was calculated as:

Ash % = 1

100

sample ofwt

ash ofwt

2. Determination of Crude Protein

Each sample weighing 0.5g was used and the total nitrogen was determined by

micro-Kjeldahl method as outlined by AOAC (1984). The results were multiplied by 6.25 to

give crude protein.

3. Determination of Crude Fibre

Each sample weighing 1.5g was used and the protein, starch and other digestable

carbohydrates and fat were hydrolysed out of the sample according to method outlined by

AOAC (1984). The residue (crude fibre) was calculated as:

% Fibre = 1

100

w

w- w

1

32

Where: W1 = initial weight of sample

W2 = weight of dried extricated sample before ashing.

W3 = weight of ash.

4. Determination of Soluble Carbohydrate

Soluble carbohydrate was determined spectrophotometrically. Anthrone reagent,

glucose stock solution (0.8 mg ml of glucose) and glucose working standard solutions (0-0.2

mg ml of glucose were made). 2ml of each glucose working standard solution was pipetted

into the glass test tube. 10ml of anthrone reagent was rapidly added and mixed by shaking.

The tube was loosely covered with a glass bulb stopper and immediately placed in a boiling

water bath for 20 minutes to cool. The absorbance was measured in a 10 min. optical cell at

620 nm. A graph relating absorbance to mg of glucose present was constructed. The

absorbance corresponding to 0 and 0.4mg of glucose were approximately 0.03 and 1.0,

respectively. A standard graph with each batch of extract was examined. 2 ml of extract was

pipetted into a test tube and same process as in preparation of standard graph was carried out

ending with measurement of absorbance in a 10 min. optical cell at 620 nm.

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Calculation of results from the standard graph. The number of mg of glucose

equivalent to the absorbance of the sample and the blank determinations were read. The

differences were multiplied by 50. The result gave the percentage soluble carbohydrate.

5. Determination of Moisture

Sample of 20g seeds from each of the pigeonpea genotypes was weighted and

recorded as initial weights. The sample grains were then oven dried at 70oC to constant

weight and recorded as dry weight of sample.

Moisture content (%) was calculated as:

Moisture content (%) = 1

100

wtsample Initial

wt sampledry - wt sample Initial

6. Determination of Crude Fat Content

Soxhlet extractor was used. 2g of minced sample was accurately weighed and

transferred into rolled ashless filter papers and placed inside the extractor thimble. The

thimble was placed into soxhlet extractor. The flask was three quarter filled with petroleum

ether and placed inside the extraction flask. The soxhlet was connected in the flask and in

turn to the condenser. The heater was switched on not to heat beyond the boiling point of the

petroleum ether used and allowed to run for 3-6 hours. When the extraction ended, the ether

was recovered before the thimble was removed. The oil was collected in the flask and dried

at 100oC in the oven. The differences in the weight of empty flask and the flask with the oil

gave the oil content of the sample.

The % fat content was calculated as follows:

% Fat = 1

100

B

A - C

Where A = weight of empty flask

B = weight of the sample.

C = weight of flask and oil after drying.

Mineral element analysis in plant materials

1. Total Nitrogen Determination in seed and leaf material

A sample of 0.5g of ground seed or leaf material was weighed out into a 500ml

Kjeldahl flask. 1.0g of the catalyst mixture and 20ml of conc. H2SO4 was then added and

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subjected to the micro-Kjeldahl steam distillation method as outlined by AOAC (1984). The

% total Nitrogen was calculated as:

% total N = T × N × )Distillate thefrom taken (aliquote 10

100%

wt

)distillate (Toal 1000

1000

14

2. Determination of Phosphorus in 0.5g seed and plant materials

Total phosphorus was determined by the perchloric acid digestion combined with

Colorimetric assessment according to AOAC (1990). 0.5g of plant material was used and the

calculation of P in ppm (or mg/ml) was read from the graph and used to calculate the

number of P equivalent to the absorbance of the sample and blank determination.

3. Determination of Potassium (K) and Calcium (Ca) in seed and leaf materials using

Flame Photometry method

The standard solution of potassium and calcium were first prepared and each used in

the flame-photometry method according to Pearson (1976). Concentration of the element in

sample solution was read from the standard curve and % K or % Ca was calculated as:

% K = ppm x 100 x DF

1 million

Where ppm = parts per million (1ml of solution was diluted to 50ml water giving = 2.ppmk).

Nutrient dry matter turnover in pigeanpea leaf.

The nutrient element contents of the sampled pigeonpea leaf was used to calculate

the nutrient turnover per hecture using the leaf fraction dry matter content of the sampled

plants as follows:

Nutrient turn over = hectareper matter wt dry leaf 100

nutrient ofcontent %

Experiment 4: Antinutritional Factors Assessment in the seeds of six phigeonpea

genotypes.

The following antinutritional factors were determined in the seed of the six pigeopea

genotypes.

i. Determination of Tannins. 1.0g of ground sample was weighed into 5mls flask and

the concentration of tannin was determined according to the procedure outlined by

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Pearson (1976). The formula for calculating the concentration of tannins from the

standard was: % Tannin = An/As C va

vf

w

100

Where:

An = absorbance of test sample.

As = absorbance of standard solution.

C = conc. Of standard solution.

W = weight of sample used.

Vf = total volume of extract.

Va = volume of extract analysed.

ii. Determination of Phytate. A sample of 0.5g of the seed of each pigeonpea genotype

was weighed into a 500ml flat bottomed flask and used for the determination of

phytate according to the procedure of Oberleas D. (1973). The concentration of

phytate was calculated form the prepared standard curve and blank using the

formular:

Conc. of phytate in sample (mg/100g) =

sample of Absorbance standard of Absorbance

std of conc.

iii. Determination of Trypsin

A sample of 1.0g each of pigeonpea genotype seeds was used in the procedure of

Rick (1974) to determine the concentration of trypsin spectrophotometrically. The extinction

of the experimental tube after subtraction of the blank extinction was used to calculate the

enzyme activity.

iv. Determination of Chymortrypsin

A sample of 1.0g of each seed sample was used to determine the concentration of

chymortrypsin spectrophotometrically at 280nm after the precipitation of the residual

substrate according to the procedure of Rick (1974). A standard curve was used to determine

the chymortrypsin concentration of the blank and subsequently in the sample solution.

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CHAPTER FOUR

RESULTS

The total monthly rainfalls (mm) for 2005 and 2006 followed the characteristic

bimodal pattern peaking first in the months of June or July and second in October (Table 1).

Rainfall was highest in June compared with little or no rainfall in December for 2005 and

2006. Rain always fell more frequently between June and October. During the periods of

January, February, November and December rainfall was very low at 0 - 70.6mm. The

minimum air temperature was always rather high all through the period of the experiments.

Similarly, the maximum air temperature ranged from 28.3oC in July to 22.4

oC in December

in 2005 and from 28.6oC in July to 32

oC in December in 2006.

The highest maximum and minimum temperatures within the year were in the

months of February to April in both 2005 and 2006 seasons. The Relative Humidity (%)

followed closely from the rainfall pattern, rising with high rainfalls and decreasing with

decreased rainfalls, being lowest in the months of November, December January and

February. The Relative Humidity was always comparatively low in the months of

December and January.

The soils of the experimental sites were texturally sand clay loam and essentially

acidic in reaction (Table 2). Phosphorus content was moderate in the 2005 site but low in the

2006 site, while potassium, calcium and sodium were considered moderate in those sites.

Experiment 1:

Assessment of six pigeonpea genotypes under late maize intercropping production

systems with two maize genotypes.

Phenological development in pigeonpea and maize genotypes in mixtures.

Days to seedling emergence, and to anthesis in pigeonpea were not significantly (

P<0.05) affected by cropping system. Days to pod maturity were however significantly

delayed under intercropping with hybrid maize compared with sole pigeonpea cropping

(Table 3). The seedlings of Nsukka Local genotype emerged faster than the other genotypes

in both 2005 and 2006. Seedling emergence appeared generally faster in 2006 than in 2005.

Period to anthesis took long in Nsukka Local compared with others by over 39 days in both

2005 and 2006.

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Table 1: Metereological records for 2005, 2006 and 2007 at Nsukka, Nigeria.

Jan Feb Mar Apr May Jun Jul Aug Sept Oct Nov Dec

2005 weather records

Total rainfall (mm)

Rain days (No.)

Max. air temp (oC)

Min. air temp (oC)

Relative Hum (%)

0

0

31.6

25.2

57.5

70.6

2

35.2

22.8

64.3

14.9

2

34.4

23.3

67.1

14.0

10

33.6

23.1

69.2

142.5

11

30.6

22.2

73.9

323.8

18

29.4

21.8

74.8

246.2

20

28.3

20.9

76.9

125.4

17

27.3

20.3

76.9

208.0

19

28.7

21.5

76.9

304.2

16

30.1

21.1

73.8

10.1

1

32.4

21.3

66.2

1.2

1

22.4

20.7

63.1

2006 weather records

Total rainfall (mm)

Rain days (No.)

Max. air temp (oC)

Min. air temp (oC)

Relative Hum (%)

36.3

1

33.1

23.0

66.5

4.0

2

33.6

23.2

67.8

103.1

4

33.1

22.8

67.6

51.0

5

35.5

23.3

68.2

243.8

16

30.5

21.3

74.4

259.6

16

29.9

21.2

74.9

213.8

21

28.6

21.5

76.8

195.5

19

27.8

20.8

77.4

190.5

25

28.1

21.3

76.7

313.9

19

29.9

21.2

74.8

1.5

1

31.7

18.9

60.8

0

0

32.6

17.9

50.0

2007 Weather records

Total rainfall (mm)

Rain days (No.)

Max. air temp (oC)

Min. air temp (oC)

Relative Hum (%)

0

0

33.2

20.8

57.5

9.9

1

35.0

22.6

64.3

39.1

4

35.1

23.1

67.1

121.6

8

32.6

22.9

69.2

193.5

11

31.1

21.8

73.9

327.6

16

29.3

21.8

74.8

62.9

14

28.5

21.2

76.9

323.6

17

27.6

21.8

76.9

169.6

19

28.2

21.3

76.9

267.2

18

29.5

20.7

73.8

55.1

4

30.4

21.3

66.2

0

0

31.6

20.0

63.1

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Table 2: Physical and chemical characteristics of the experimental sites before

planting

Mechanical properties: 2005 2006

Clay (%( 19.76 21.04

Silt (%) 9.28 10.56

Fine sand (%) 24.40 18.36

Coarse sand (%) 46.56 50.04

Textural class Sandy clay loam Sandy clay loam

Chemical Properties

pH in H2O 5.2 5.1

pH in KCl 4.5 4.9

Organic matter:

Carbon (%) 0.93 0.63

Nitrogen (%) 0.070 0.068

Exchangeable bases

(meq/100g)

Na 0.57 0.66

K 0.23 0.37

Ca 1.60 0.80

Mg 1.20 0.96

CEC 2.24 1.12

P (ppm) 44.78 26.87

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Table 3: Days to 50% emergence, 50% flowering and 50% maturity of pigeonpea

grown in mixtures with two maize genotypes.

Pigeonpea Cropping system Cropping system

Genotypes P/pea P/pea Sole Mean P/pea P/pea Sole Mean

+

Hm

+

Opm

P/pea

+

Hm

+

Opm

P/pea

2005 2006

Days to 50% seedling emergence

ICPL87 7.3 6.6 7.3 7.1 6.3 6.6 6.0 6.3

ICPL161 8.0 7.3 7.6 7.6 6.0 6.0 6.0 6.0

ICPL85063 7.3 7.6 7.6 7.5 6.0 6.0 6.0 6.0

ICP7120 7.6 7.3 7.6 7.5 6.0 6.0 6.0 6.0

ICPL87119 7.6 7.6 8.0 7.7 6.6 6.6 6.6 6.6

Nsukka Local 6.3 6.6 6.6 8.5 6.0 6.0 6.0 6.0

Mean 7.3 7.2 7.6 7.3 6.1 6.2 6.1 6.1

Days to 50% flowering

ICPL87 94.6 94.0 93.3 94.0 87.0 84.3 84.3 85.2

ICPL161 92.3 93.3 93.0 92.8 86.6 85.3 88.0 86.6

ICPL85063 93.0 91.0 94.0 92.6 88.6 84.0 84.0 85.5

ICP7120 92.6 90.3 91.0 91.3 80.3 84.3 83.6 82.7

ICPL87119 91.6 90.0 92.6 91.4 83.0 85.3 82.6 83.6

Nsukka Local 129.3 129.3 127.6 128.7 123.3 122.0 122.6 122.6

Mean 98.9 98.0 98.6 98.5 91.5 90.8 90.8 91.0

Days to 50% maturity

ICPL87 173.0 175.0 164.7 170.9 162.0 169.3 162.0 164.4

ICPL161 181.7 177.0 164.7 174.4 161.3 152.7 162.0 158.7

ICPL8563 181.3 178.3 169.3 176.3 171.0 171.0 170.3 170.8

ICP7120 179.3 171.0 166.0 172.1 162.0 162.3 162.0 161.8

ICPL87119 171.0 169.7 156.3 165.7 170.7 171.0 170.0 170.6

Nsukka Local 208.0 208.0 207.7 208.1 204.1 202.7 203.7 203.6

Mean 182.5 179.8 171.4 177.9 171.9 171.3 171.7 171.6

50%Emergence

50% Flowering

50% Maturing

2005 2006 2005 2006 2005 2006

LSD0.05 for 2 crop. sys. means Ns Ns Ns Ns 7.81 Ns

LSD0.05 for 2 p/pea geno. means 0.15 0.28 2.01 2.28 11.04 10.11

LSD0.05 for 2 crop sys p/pea gen Ns Ns Ns Ns Ns Ns

CV (%) 7.30 4.80 0.30 2.60 6.50 6.20

Hm = Hybrid maize P/pea = Pigeonpea Opm= Open pollinated maize

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Days to pod maturity mostly followed from days to anthesis in both years. Pod maturity was

significantly delayed by over 42 days in Nsukka Local compared with ICPL 87119 in 2005

and by at least 31 days compared with all the other ICRISAT genotypes. ICPL 85063 and

ICPL87119 had significantly higher number of days to pod maturity compared with ICPL

161.There were no interaction effects between cropping system and pigeonpea genotypes.

Days to tasselling and to maturity in maize were not significantly affected by

cropping system in either of the two years (Table 4). Days to tasselling and maturity were

always significantly shorter with the hybrid maize compared with the open-pollinated maize.

There were no interaction effects between maize genotype and cropping system on days to

tasselling and days to maturity.

Plant height of component crops.

Pigeonpea plant height (cm) measured at 2-, 4- or 6- weeks after planting (WAP), at

50% anthesis and at 50% maturity were not ststistically different for those grown in

mixtures with maize and those grown as sole pigeonpea crops (Table 5). However, the

pigeonpea genotypes differed among themselves. Nsukka Local genotype maintained

significantly (P<0.05) taller plants compared with some of the ICRISAT genotypes in both

2005 and 2006. ICRISAT genotypes levelled up in height amongst themselves as from 4

WAP in both 2005 and 2006.

Pigeonpea height at pod maturity showed that Nsukka Loca, except for ICPL87, was

significantly taller than the other genotypes in 2005 (Table 6). A similar trend was obtained

in 2006 but with no statistical difference among the pigeonpea genotypes. Remarkably after

anthesis the pigeonpea plants still increased in height by an average of over 48cm.

Interaction effects of pigeonpea genotype and cropping system were not obvious.

Maize plant height measured at 2, 4 and 6 WAP did not differ significantly (P<0.05)

for those grown either as sole crops or in mixtures with pigeonpea in both 2005 and 2006

(Table 7). However, hybrid maize genotype attained greater height at these stages compared

with open pollinated maize in 2005; but were of similar heights statistically in 2006. Maize

plants did not differ in height at tasselling and maturity periods regardless of genotype or

cropping system under which they were grown (Table 8). Combining cropping system with

pigeonpea genotypes did not produce significant effect.

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Table 4: Days to 50% tasselling and 50% maturity in maize genotypes intercropped

with six pigeonpea genotypes.

Maize Cropping system

Genotypes Maize Maize Maize Maize Maize Maize Sole Mean +

ICPL87

+

ICPL161

+

ICPL85063

+

ICP7120

+

ICPL87119

+

NSK

Local

Maize

Days to 50% tasselling

2005

Hybrid maize 67.0 71.3 71.3 72.6 68.3 68.3 69.3 69.7

Open P-maize 75.6 74.6 75.6 74.6 74.3 76.3 76.0 75.2

Mean 71.3 73.0 73.5 73.3 71.3 72.3 72.6 72.5

2006

Hybrid maize 69.3 70.0 70.0 69.3 68.3 70.0 69.0 69.4

Open P-maize 70.0 71.3 70.6 70.0 70.0 69.3 70.0 70.1

Mean 69.6 70.6 70.3 69.6 69.1 69.6 69.5 69.8

Days to 50% maturity

2005

Hybrid maize 115.6 116.6 116.3 116.3 115.3 116.0 116.3 116.1

Open P-maize 118.0 118.6 119.0 118.3 118.0 119.3 117.0 118.3

Mean 116.8 117.6 117.6 117.3 116.6 117.6 116.6 117.2

2006

Hybrid maize 111.3 11.6 112.0 110.3 111.3 111.6 111.3 111.3

Open P-maize 115.0 114.3 115.0 115.0 115.0 114.6 114.6 114.8

Mean 113.1 113.0 113.5 112.6 113.1 113.1 113.0 113.0

50% tasselling

50% Maturing

2005 2006 2005 2006

LSD0.05 for 2 crop. systems Ns Ns Ns Ns

LSD0.05 for 2 maize gen. means 1.487 0.689 0.816 0.550

LSD0.05 for 2 crop-sys maize gen. Ns Ns Ns Ns

CV(%) 3.2 1.6 1.1 0.8

Hm = Hybrid maize P/pea = Pigeonpea Opm= Open pollinated maize

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Table 5: Pigeonpea genotype plant height (cm) responses at 2-, 4- and 6- WAP under

maize/pigeonpea intercropping systems.

Pigeonpea Cropping system Cropping system

Genotypes P/pea P/pea Sole Mean P/pea P/pea Sole Mean

+

Hm

+

Opm

P/pea

+

Hm

+

Opm

P/pea

2005 2006

2 WAP

ICPL87 11.0 10.7 10.2 10.6 9.1 8.5 8.8 8.8

ICPL161 9.1 9.5 9.5 9.4 9.2 9.5 8.4 9.0

ICPL85063 9.1 10.1 9.6 9.6 7.9 9.8 8.6 8.8

ICP7120 9.7 10.3 10.8 103 8.3 9.1 8.4 8.6

ICPL87119 10.5 9.3 8.8 9.5 8.4 7.7 7.9 8.0

Nsukka Local 11.6 10.6 12.7 11.6 9.3 10.2 10.1 9.9

Mean 10.2 10.1 10.2 10.2 8.7 9.1 8.7 8.8

4WAP

ICPL87 16.7 16.2 15.4 16.1 14.7 15.1 15.4 15.1

ICPL161 14.3 14.5 14.6 14.4 14.6 16.5 14.8 15.3

ICPL85063 14.7 15.4 14.9 15.0 15.6 16.2 17.2 16.4

ICP7120 14.8 15.5 16.2 15.5 16.8 15.9 15.2 15.9

ICPL87119 15.0 14.5 13.9 14.4 14.8 13.5 15.1 14.4

Nsukka Local 17.4 16.0 19.0 17.5 16.8 19.2 16.2 17.4

Mean 15.5 15.3 15.6 15.5 15.5 16.0 15.6 15.7

6WAP

ICPL87 31.1 29.5 26.3 29.0 24.8 27.7 25.7 26.1

ICPL161 25.0 26.1 25.0 25.4 23.4 26.2 25.1 24.9

ICPL8563 20.3 26.0 23.6 23.3 22.8 23.0 28.9 24.9

ICP7120 27.0 28.0 28.5 27.8 25.2 26.9 22.0 24.7

ICPL87119 28.6 24.5 20.7 24.6 23.9 23.0 25.6 24.1

Nsukka Local 33.3 30.0 36.6 33.3 24.8 29.4 25.0 26.4

Mean 27.5 27.0 26.8 27.2 24.1 26.0 25.4 25.2

2 WAP

4 WAP

6 WAP

2005 2006 2005 2006 2005 2006

LSD0.05 for 2 crop. sys. means Ns Ns Ns Ns Ns Ns

LSD0.05 for 2 p/pea geno. means 1.031 0.808 1.075 1.595 3.411 Ns

LSD0.05 for 2 crop. sys. p/pea Ns Ns Ns Ns Ns Ns

CV (%) 10.5 9.5 7.2 10.5 5.1 13.7

Hm = Hybrid maize Opm = open pollinated maize

P/pea = Pigeonpea WAP = weeks after planting.

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Table 6: Pigeonpea genotype plant height (cm) at 50% flowering and at 50% maturity

under intercropping with two maize genotypes.

Pigeonpea Cropping system Cropping system

Genotypes P/pea P/pea Sole Mean P/pea P/pea Sole Mean

+

Hm

+

Opm

P/pea

+

Hm

+

Opm

P/pea

2005 2006

50% flowering

ICPL87 141.1 154.8 134.5 143.5 117.9 123.8 118.7 120.1

ICPL161 122.1 123.0 128.8 124.7 113.8 124.3 117.3 118.5

ICPL85063 128.9 134.0 118.4 127.1 118.2 121.7 125.8 121.9

ICP7120 126.3 137.8 134.2 132.8 121.4 116.3 108.7 115.5

ICPL87119 107.0 117.0 131.7 118.6 123.3 107.8 118.7 116.6

Nsukka Local 153.4 144.5 144.2 147.4 118.8 115.5 108.5 114.2

Mean 129.8 135.0 132.0 132.3 118.9 118.2 116.3 117.8

50% maturity

ICPL87 191.5 190.8 190.7 191.0 163.9 171.4 171.3 168.9

ICPL161 182.4 160.2 184.4 175.6 161.8 173.1 168.6 167.8

ICPL85063 175.6 182.6 176.4 178.2 156.3 166.6 190.9 171.2

ICP7120 175.3 172.3 182.0 176.6 173.6 153.6 150.7 159.3

ICPL87119 154.9 168.0 176.7 166.5 157.5 164.1 160.1 160.5

Nsukka Local 190.3 194.5 197.3 194.0 171.9 170.2 164.6 168.9

Mean 178.3 178.1 184.6 180.3 164.1 166.5 167.7 166.1

50% flowering

50% maturity

2005 2006 2005 2006

LSD0.05 2 crop. sys. means Ns Ns Ns Ns

LSD0.05 2 p/pea geno. means 15.79 Ns 11.01 Ns

LSD0.05 for 2 crop.sys. p/pea gen

CV(%)

Ns

12.5

Ns

10.4

Ns

6.4

Ns

8.1

Hm = Hybrid maize Opm = open pollinated maize

P/pea = Pigeonpea WAP = weeks after planting.

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64

Table 7: Maize genotypes height at 2-, 4- and 6- WAP under intercropping with six

pigeorpea genotypes and sole crop systems.

Maize Cropping system

Genotypes Maize Maize Maize Maize Maize Maize Sole Mean +

ICPL87

+

ICPL161

ICPL85063

ICP7120

+

ICPL87119

+

NSK

Local

Maize

At 2 WAP

2005

Hybrid maize 11.0 12.1 11.8 11.4 12.1 11.9 11.6 11.7

Open P-maize 10.1 10.0 10.9 10.4 11.4 10.3 10.6 10.5

Mean 10.5 11.0 11.3 10.9 11.7 11.1 11.1 11.1

2006

Hybrid maize 7.4 7.3 8.0 8.8 7.6 7.9 7.8 7.8

Open P-maize 8.7 8.0 8.4 8.5 8.5 8.9 8.6 8.5

Mean 8.0 7.7 8.2 8.7 8.0 8.4 8.2 8.2

At 4 WAP

2005

Hybrid maize 14.8 15.4 15.1 14.9 15.3 15.1 15.0 15.1

Open P-maize 13.8 13.5 14.6 13.8 14.8 14.1 14.6 14.2

Mean 14.3 14.5 14.8 14.3 15.0 14.6 14.8 14.6

2006

Hybrid maize 12.6 12.2 14.0 14.2 14.0 12.7 12.0 13.1

Open P-maize 14.5 12.2 13.8 12.8 12.1 14.2 12.4 13.1

Mean 13.5 12.2 13.9 13.5 13.1 13.5 12.2 13.1

At 6 WAP

2005

Hybrid maize 26.2 28.2 25.4 23.9 29.5 26.8 28.5 26.9

Open P-maize 24.3 23.7 26.9 22.1 23.4 24.4 26.8 24.5

Mean 25.2 25.9 26.1 23.0 26.5 25.6 27.6 25.7

2006

Hybrid maize 24.6 24.8 24.0 25.3 26.8 25.4 23.3 24.9

Open P-maize 25.9 26.4 25.4 25.4 23.1 25.6 24.0 25.1

Mean 25.2 25.6 24.7 25.3 24.9 25.5 23.7 25.0

At 2WAP At 4 WAP At 6 WAP

2005 2006 2005 2006 2005 2006

LSD0.05 for 2 crop. systems means Ns Ns Ns Ns Ns Ns

LSD0.05 for 2 maize gen. means 0.532 Ns 0.553 Ns 1.815 Ns

LSD0.05 for 2 crop.sys. maize gen

CV (%)

Ns

7.5

Ns

15.2

Ns

5.9

Ns

14.4

Ns

11.1

Ns

10.2

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65

Table 8: Maize Genotypes plant height (cm) at 50% tasselling and at 50% maturity

under intercropping with six pigeonpea genotypes and sole crop systems.

Maize Cropping system

Genotypes Maize Maize Maize Maize Maize Maize Sole Mean +

ICPL87

+

ICPL161

+

ICPL85063

+

ICP7120

+

ICPL87119

+

NSK

Local

Maize

50% tasselling

2005

Hybrid maize 56.4 57.8 54.7 55.7 57.7 59.0 58.7 57.2

Open P-maize 57.4 55.7 60.4 57.4 58.2 48.2 59.9 56.7

Mean 56.9 56.7 57.5 56.5 57.9 53.7 59.3 56.9

2006

Hybrid maize 53.5 55.5 52.9 59.9 58.2 58.2 55.6 56.3

Open P-maize 59.3 55.5 52.5 55.8 50.8 54.1 52.2 54.2

Mean 56.4 55.3 52.7 57.8 54.5 56.5 53.9 55.3

50% maturity

2005

Hybrid maize 132.2 138.9 131.2 129.4 133.5 136.2 138.6 134.3

Open P-maize 139.5 132.1 135.9 133.8 140.0 134.0 145.8 137.3

Mean 135.8 135.5 133.5 131.6 136.7 135.1 142.2 135.8

2006

Hybrid maize 148.3 133.1 132.6 146.8 145.2 133.5 147.4 141.0

Open P-maize 137.1 140.5 151.9 130.5 134.4 153.5 133.3 140.0

Mean 142.7 136.8 142.3 138.6 139.8 143.5 140.3 140.6

50% tasselling 50% Maturing

2005 2006 2005 2006

LSD0.05 for 2 crop. systems means Ns Ns Ns Ns

LSD0.05 for 2 maize gen. means Ns Ns Ns Ns

LSD0.05 for 2 crop. sys maize gen

CV (%)

Ns

9.2

Ns

10.4

Ns

6.0

Ns

14.4

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66

The number of primary branches and and number of leaves of pigeonpea were

significantly (P<0.05) reduced under intercropping with maize compared with sole

pigeonpea (Table 9). Hybrid maize depressed those values more in pigeonpea compared

with open pollinated maize. The pigeonpea genotypes differed in their number of primary

branches and leaves either with sole cropping or in intercropping system. Nsukka Local

genotype had significantly (P<0.05) higher number of primary branches than the ICRISAT

pigeonpea genotypes in both 2005 and 2006. The variation in number of leaves among the

pigeonpea genotypes did not show a definite pattern in the two years. In 2005, ICPL 87 had

significantly higher number of leaves compared with all other genotypes with Nsukka Local

having the least. In 2006 however, ICPL 85063 had the highest and significantly different

number of leaves compared with other ICRISAT genotypes and it was follwed by Nsukka

Local. Interaction of cropping system with pigeonpea genotypes did not produce significant

effect. However, the number of primary branches and leaves were always higher under sole

cropping for all the pigeonpea genotypes.

Intercropping of pigeonpea with maize significantly (P<0.05) depressed pigeonpea

pod bearing stem length in 2005, and stem girth in both 2005 and 2006 in the pigeonpea

(Table 10). Intercropping hybrid maize with pigeonpea had a greater depressant effect on

pigeonpea inflorescence distribution, stem length and on stem girth than pigeonpea was

intercropped with open pollinated maize. Nsukka Local pigeonpea genotype had less than

half the pod distribution length in the ICRISAT genotypes in both 2005 and 2006. However

Nsukka Local had significantly (P<0.05) higher stem girth compared with the ICRISAT

genotypes in 2006. Although there was no significant cropping system × pigeonpea

genotypes interaction for pigeonpea pod distribution (pod bearing stem length) and stem

girth, they were slightly higher under sole cropping than with all the mixtures except for

ICPL 87 and Nsukka Local mixtures with open pollinated maize in 2006 where they had

higher pod distribution stem length compared with their sole crops.

Dry mater distribution in crop fractions under the cropping systems

Pigeonpea dry matter in plant fractions of leaf, stem and root were depressed by the

maize intercrop by about 30.6%, 26.8% and 23.8%, respectively in 2005, and by 33.2%,

34.6% and 37.7%, respectively in 2006 (Table 11). The leaf dry matter yield depression by

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67

maize was higher with hybrid maize intercropping than with open pollinated maize

intercropping in both 2005 and 2006. Pigeonpea genotypes differed significantly (P<0.05)

in their leaf dry matter yields in 2005 and 2006 but there was no significant (P<0.05)

difference in their root dry matter weights. Leaf dry matter was always higher with sole

cropping than with mixtures. In 2006, all the sole crops of the genotypes had significantly

higher leaf dry matter compared to those in mixtures except for ICPL 7120 where there was

no significant difference. Stem dry matter was higher in the sole crop of ICRISAT

genotypes and more so with ICPL 87, ICPL 85063 and ICPL 87119 than those where they

were mixed with maize. In Nsukka Local, stem dry matter was similar in the sole crop and

its mixture with open pollinated maize and were significantly higher than that in mixture

with hybrid maize.

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Table 9: Effects of intercropping on number of primary branches/plant and number

of leaves/plant in six pigeonpea genotypes.

Pigeonpea Cropping system Cropping system

Genotypes P/pea P/pea Sole Mean P/pea P/pea Sole Mean

+

Hm

+

Opm

P/pea

+

Hm

+

Opm

P/pea

2005 2006

No. of primary branches

ICPL87 12.4 14.9 21.0 16.1 12.5 13.4 15.6 12.8

ICPL161 12.9 14.2 16.3 14.5 10.8 12.9 16.0 13.2

ICPL85063 10.3 13.6 18.0 14.0 11.8 14.0 20.0 10.5

ICP7120 12.2 13.0 13.8 13.0 10.8 10.4 10.4 10.5

ICPL87119 12.4 11.4 14.2 12.7 11.9 11.4 13.0 12.1

Nsukka Local 14.7 19.6 24.2 19.5 16.9 18.6 16.5 17.3

Mean 12.4 14.4 17.9 14.9 12.4 13.4 15.2 13.7

No of leaves

ICPL87 268.3 266.0 330.3 288.2 157.8 194.5 218.3 190.2

ICPL161 264.3 245.3 300.0 269.9 193.1 168.2 253.4 204.9

ICPL85063 156.3 260.3 303.0 239.9 184.9 208.5 409.5 267.6

ICP7120 205.3 248.3 319.0 257.8 161.7 153.0 226.9 180.5

ICPL87119 185.0 209.3 289.7 228.0 158.9 172.1 224.1 185.4

Nsukka Local 169.0 233.3 206.7 203.0 207.6 203.6 258.9 223.4

Mean 208.1 243.8 291.6 247.8 177.6 183.3 265.2 208.7

No. of pri. branches

No. of Leaves.

2005 2006 2005 2006

LSD0.05 for 2 crop. sys. means 1.723 1.789 32.83 36.07

LSD0.05 for 2 p/pea geno. means 2.436 2.530 46.43 51.01

LSD0.05 for 2 crop sys.x p/pea gen Ns Ns Ns Ns

CV (%) 17.0 19.2 19.6 25.5

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Table 10: Effects of pigeonpea/maize intercropping on pigeonpea inflorescence ( pod

bearing stem) length(cm)/plant and stem girth (cm)/plant.

Pigeonpea Cropping system Cropping system

Genotypes P/pea P/pea Sole Mean P/pea P/pea Sole Mean

+

Hm

+

Opm

P/pea

+

Hm

+

Opm

P/pea

2005 2006

PBSL (cm)

ICPL87 34.9 34.2 38.2 35.8 27.2 39.3 38.9 35.1

ICPL161 33.9 31.8 40.1 35.3 35.7 29.4 33.0 32.7

ICPL85063 29.0 31.4 39.2 33.2 31.4 31.1 36.3 32.9

ICP7120 35.4 38.1 38.9 37.4 36.1 33.0 35.8 35.0

ICPL87119 31.3 29.9 34.7 32.0 35.9 31.6 38.4 35.3

Nsukka Local 14.0 15.0 17.4 15.4 14.4 16.4 15.3 15.4

Mean 29.8 30.0 34.7 31.5 30.1 30.2 32.9 31.1

Stem girth (cm)

ICPL87 0.94 1.13 1.44 1.17 1.00 1.09 1.27 1.12

ICPL161 1.17 1.14 1.34 1.18 1.23 1.05 1.29 1.19

ICPL85063 0.96 1.25 1.47 1.22 1.09 1.16 1.39 1.21

ICP7120 0.91 1.27 1.43 1.20 1.05 1.09 1.20 1.11

ICPL87119 0.98 0.98 1.17 1.04 1.05 1.09 1.20 1.10

Nsukka Local 1.06 1.29 1.45 1.27 1.27 1.30 1.50 1.36

Mean 0.98 1.17 1.38 1.18 1.11 1.12 1.31 1.18

PBSL (cm)

Stem Girth (cm)

2005 2006 2005 2006

LSD0.05 for 2 crop. sys. means 2.434 Ns 0.1293 0.0624

LSD0.05 for 2 p/pea geno. means 3.443 6.233 Ns 0.0883

LSD0.05 for 2 crop.sys x p/pea gen. Ns Ns Ns Ns

CV (%) 11.4 20.9 16.1 7.8

PBSL= Pod bearing stem length

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Table 11: Pigeonpea genotypes leaf, stem and root dry matter fractions (kg/ha) under

intercropping with two maize genotypes.

Pigeonpea Cropping system Cropping system

Genotypes P/pea P/pea Sole Mean P/pea P/pea Sole Mean

+

Hm

+

Opm

P/pea

+

Hm

+

Opm

P/pea

2005

2006

Leaf (kg/ha)

ICPL87 1140.0 1176.0 1628.0 1315.0 814.0 926.0 1492.0 1077.0

ICPL161 1044.0 950.0 1237.0 1077.0 1056.0 919.0 1368.0 1114.0

ICPL85063 762.0 908.0 1413.0 1028.0 848.0 1142. 1853.0 1281.0

ICP7120 1089.0 1213.0 1777.0 1360.0 861.0 1011. 1011.0 961.0

ICPL87119 753.0 897.0 1180.0 944.0 743.0 859.0 1354.0 985.0

Nsukka Local 922.0 1277.0 1492.0 1230.0 1125.0 1290. 1606.0 1340.0

Mean 952.0 1070.0 1455.0 1159.0 908.0 1024. 1447.0 1126.0

Stem (kg/ha)

ICPL87 1435.0 1444.0 1831.0 1570.0 1234.0 1271. 1963.0 1489.0

ICPL161 1317.0 1207.0 1603.0 1375.0 1518.0 988.0 1587.0 1364.0

ICPL85063 1081.0 1193.0 1672.0 1315.0 953.0 1316. 2623.0 1631.0

ICP7120 1365.0 1370.0 2036.0 1590.0 1349.0 1018. 1381.0 1249.0

ICPL87119 1030.0 1108.0 1511.0 1217.0 947.0 1090. 2039.0 1359.0

Nsukka Local 1090.0 1513.0 1755.0 1452.0 1360.0 1995. 1960.0 1772.0

Mean 1219.0 1306.0 1735.0 1420.0 1227.0 1280. 1925.0 1477.0

Root (g/p)

ICPL87 469.0 4290 6850 528.0 327.0 325.0 560.0 404.0

ICPL161 468.0 440.0 549.0 486.0 347.0 345.0 519.0 434.0

ICPL85063 393.0 406.0 461.0 420.0 252.0 331.0 675.0 420.0

ICP7120 455.0 400.0 583.0 480.0 286.0 319 .0 408.0 338.0

ICPL87119 404.0 370.0 521.0 431.0 287.0 285.0 501.0 358.0

Nsukka Local 437.0 483.0 581.0 500.0 330.0 445.0 527.0 434.0

Mean 438.0 421.0 563.0 474.0 305.0 357.0 532.0 398.0

Leaf

Stem

Root

2005 2006 2005 2006 2005 2006

LSD0.05 for 2 crop. sys. means 173.0 126.8 154.0 188.4 61.5 76.4

LSD0.05 for 2 p/pea geno. means 244.5 179.3 217.0 266.4 Ns Ns

LSD0.05 for crop. sys p/pea gen. Ns 310.5 Ns 461.5 Ns Ns

CV (%) 22.0 16.6 16.0 18.8 19.2 28.3

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Leaf, stem and inflorescence dry matter fractions in maize were not significantly

(P<0.05) affected by Pigeonpea intercropping in 2005 (Table 12). However in 2006,

pigeonpea intercropping significantly (P<0.05) depressed leaf, stem and inflorescence dry

matter yields in the maize by 11.8%, 32.2% and 22.2% respectively. Maize genotypes did

not differ significantly in their dry matter fractions in 2005, but open pollinated maize

genotype had significantly (P<0.05) higher leaf dry matter compared to hybrid maize in

2006. Interaction between cropping system and the maize genotype dry matter fractions

were not significant (P<0.05).

Field insect pests attack on pigeonpea

A few pigeonpea plants were attacked sporadically at the seedling and early vegetative

stages by variegated grasshopper (Zonocerus variegatus), crickets (Brachytrupes

membranaceus) and termites (Odontotermes badius) (Table 13). Some affected seedlings

were lost while some where only the leaves were destroyed or the stems cut developed new

shoots and continued to grow. A large number of white flies were observed at the vegetative

stage when plants were shaken but there was no associated observable damage on crop

plants. Pod flies (Melanogromyza spp.), Pod sucking bugs (Clavigralla spp.) and pod borer

(Helicoverpa armigera) seem endemic with pigeonpea plants at the reproductive stage,

causing damages on flowers, pods and developing seeds of the pigeonpea.

Intercropping did not significantly affect the number of insect pests plant-1

in

pigeonpea both at flowering and at podding stage of plant development in 2005 or 2006

although the number was always lower in intercropped conditions (Table 14). The

pigeonpea genotypes did not also differ significantly in this parameter in 2005 but ICPL

87119 had significantly (P<0.05) higher number of insect pests plant-1

at the podding stage

compared with the other genotypes in 2006. Nsukka Local had the least number of insect

pests plant-1

compared with the ICRISAT genotypes in both 2005 and 2006. Interactions

between cropping system and

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Table 12: Maize leaf, stem, and inflorescence dry matter fractions (kg/ha) under

intercropping with six pigeonpea genotypes.

Maize Cropping system

Genotypes Maize Maize Maize Maize Maize Maize Sole Mean +

ICPL87

+

ICPL161

ICPL85063

ICP7120

+

ICPL87119

+

NSK

Local

Maize

Leaf

2005

Hybrid maize 947.0 958.0 836.0 758.0 1060.0 987.0 1070.0 945.0

Open P-

maize

840.0 700.0 765.0 704.0 682.0 1006.0 840.0 814.4

Mean 974.0 829.0 800.0 731.0 872.0 996.0 955.0 879.0

2006

Hybrid maize 746.0 735.0 759.0 825.0 757.0 736.0 790.0 764.0

Open P-

maize

753.0 796.0 908.0 855.0 847.0 764.0 1023.0 849.0

Mean 749.0 765.0 834.0 840.0 802.0 750.0 907.0 807.0

Stem

2005

Hybrid maize 3261. 3199. 2661. 2483. 3904. 3201. 2962. 3096.

Open P-maize 3185. 2188. 2514. 2379. 2109. 2824. 3213. 2630.

Mean 3223. 2694. 2587. 2431. 3006. 3013. 3087. 2863.

2006

Hybrid maize 1695. 1801. 1815. 2107. 1909. 1788. 2724. 1977.

Open P-maize 1789. 1745. 1720. 2175. 1782. 1681. 2737. 1947.

Mean 1742. 1773. 1767. 2141. 1846. 1735. 2730. 1962.

Inflorescence

2005

Hybrid maize 105.7 104.1 97.6 88.3 90.3 110.3 119.0 102.2

Open P-maize 126.1 85.8 98.9 92.4 90.8 140.8 100.9 105.1

Mean 115.9 94.8 98.3 90.3 90.5 125.6 110.1 103.6

2006

Hybrid maize 105.6 90.8 93.6 96.0 92.5 84.7 116.3 97.1

Open P-maize 96.1 94.1 100.9 100.0 100.5 91.3 129.2 101.8

Mean 100.9 92.5 97.3 98.0 96.5 88.0 122.7 99.4

Leaf

Stem

Inflorescence

2005 2006 2005 2006 2005 2006

LSD0.05 for 2 crop. systems means Ns 105.7 Ns 326.0 Ns 13.63

LSD0.05 for 2 maize gen. means Ns 56.5 Ns Ns Ns Ns

LSD0.05 for crop.sys x p\pea gen. Ns Ns Ns Ns Ns Ns

CV (%) 25.4 11.0 28.6 14.0 21.2 11.6

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Table 13: Field insect pests recorded on pigeonpea at Nsukka in 2005 and 2006.

Insect Pest Characteristic/discription of insect Nature of damage

and period

Variegated Grasshopper

(Zonocerus variegatus)

Adults are dark green with patterned

black, yellow and orange body about 3 –

5cm long. Adults and nymphs have

biting and chewing mouth parts.

Sporadic defoliation

and cutting off of

seedlings.

Crikets

(Brachytrupes membranaceus)

Large fat-bodied insects about 5cm long

with biting and chewing mouth parts.

Sporadic cutting of

seedlings stems.

Termites

(Odonototermes badius)

Social insects that net underground with

biting and chewing mouth parts.

Cut the stems of

seedlings and young

plants at ground level

at random.

White Flies (Bemisia Spp). Minute white four winged insects about

1mm long with piercing and sucking

mouth parts.

No obvious damage

was observed on

plants.

Pod Fly

(Melanogromyza spp.)

Small black flies that affect plants

through the larvae which are white in

colour about 3 – 5mm long that mines

into pods and feed on developing seeds.

Larvae ate

developing seeds

within pods.

Blister Beetles

(Mylabris spp.)

Medium to large beetles (2-5cm) in

length, black and yellow or black and

red in colour with biting and chewing

mouth parts.

Destroyed flowers

and anthers.

Pod sucking bugs

(Clavigralla spp.)

Adults are dark brown bugs 7 – 10 mm

in length according to species – with

piercing and sucking mouth parts.

Sucked developing

seeds giving

shrivelled (bad

seeds). Affected

pods are wrinkled.

Pod borer

(Helicoverpa armigera)

A bollworm that feeds on flowers and

pods. The caterpillars are 1.5 – 4cm

long and bore holes on pods and feed on

seeds.

Destroyed buds,

flowers and pods.

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Table 14: Number of blister beetles and pod borer insect pests/plant at flowering stage

and pod fly, pod sucking bugs and pod borer insect pests at podding stage in pigeonpea

intercropped with maize.

Pigeonpea Cropping system Cropping system

Genotypes P/pea P/pea Sole Mean P/pea P/pea Sole Mean

+

Hm

+

Opm

P/pea

+

Hm

+

Opm

P/pea

2005

2006

Insect pests no./plt at flowering

ICPL87 2.4 2.1 2.5 2.3 1.7 1.7 2.1 1.9

5ICPL161 2.1 2.1 2.5 2.2 1.8 1.7 1.9 1.8

ICPL85063 2.3 2.5 2.5 2.4 2.1 1.1 2.2 2.1

ICP7120 2.3 2.3 2.5 2.4 1.8 1.9 1.9 1.9

ICPL87119 2.3 2.1 2.6 2.3 2.1 1.7 2.0 1.9

Nsukka Local 2.4 2.6 2.3 2.4 2.0 2.0 1.6 1.9

Mean 2.3 2.3 2.5 2.3 1.9 1.9 2.0 1.9

Insect pests no./plt at podding

ICPL87 2.0 1.9 2.4 2.1 1.5 1.3 2.0 1.6

ICPL161 2.0 2.4 1.8 2.1 1.9 2.7 1.5 2.0

ICPL85063 2.4 2.1 2.5 2.3 2.5 1.9 2.8 2.4

ICP7120 2.1 2.3 2.6 2.3 1.5 1.8 2.6 2.0

ICPL87119 2.4 2.7 2.7 2.6 2.5 2.5 2.7 2.6

Nsukka Local 1.9 1.9 2.0 1.9 1.2 1.4 1.1 1.3

Mean 2.1 2.2 2.3 2.2 1.9 1.9 2.1 2.0

No. at flowering

No. at podding

2005 2006 2005 2006

LSD0.05 for 2 crop. sys. means Ns Ns Ns Ns

LSD0.05 for 2 p/pea geno. means Ns Ns 0.288 0.599

LSD0.05 for crop. sys. p/pea gen Ns Ns Ns Ns

CV (%) 12.1 16.8 13.3 30.7

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pigeonpea genotypes were not significant (P<0.05) for the number of insect pests at both

flowering and pod formation stages. However, intercropping of pigeonpea tended to reduce

the number of insect pests, while Nsukka local genotype had slightly lower number of pests

under both intercropping and sole crop conditions at podding stage.

Damage to pods and seeds in pigeonpea caused by insect pests.

Intercropping significantly (P<0.05) reduced the number of insect damaged pods and

seeds in the pigeonpea compared with the situation for sole cropping system in both 2005

and 2006 (Table 15). Hybrid maize intercropping reduced the number of damaged pods in

the pigeonpea compared to open pollinated maize intercropping in both 2005 and 2006 but

not at a significant level. In 2005, ICPL 87 had the highest number of damaged pods

compared with the other genotypes. Nsukka Local had significantly (P<0.05) the least

number of damaged pods and seeds in both 2005 and 2006 compared with the ICRISAT

genotypes which did not differ among themselves. Cropping system interaction with the

pigeonpea genotypes was not significant for these parameters. However, damaged pods and

seeds were higher in sole crop than with intercropping with maize in both 2005 and 2006.

Effects of intercropping on pod and seed numbers in pigeonpea.

Intercropping of pigeonpea with maize on average significantly (P<0.05) reduced the

number of pods plant-1

by 32.9% in 2005 and by 34.2% in 2006 (Table16). It also

significantly reduced the number of seeds plant-1

by 35.2% in 2005 and by 24.6% in 2006.

The lower number of pods plant-1

and number of seeds plant-1

under hybrid maize compared

with open pollinated maize intercropping in both 2005 and 2006 did not attain statistical

significance. Among the pigeonpea geotypes, Nsukka local had significantly (P<0.05) lower

number of pods plant-1

and lower number of seeds plant-1

in both 2005 and 2006. ICPL 87

and ICPL 85063 genotypes had significantly higher number of pods plant-1

and number of

seeds plant-1

when compared with all the other genotypes in 2005 and 2006. There was no

significant (P<0.05) cropping system x pigeonpea genotypes interaction on both the

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Table 15: Number of insect pests-damaged pods/plant and insect pests-damaged

seeds/plant in pigeonpea under intercropping with maize.

Pigeonpea Cropping system Cropping system

Genotypes P/pea P/pea Sole Mean P/pea P/pea Sole Mean

+

Hm

+

Opm

P/pea

+

Hm

+

Opm

P/pea

2005 2006

No. of damaged pods/plant

ICPL87 14.0 22.3 32.7 23.0 5.9 5.5 13.4 8.3

ICPL161 7.7 13.0 15.0 11.9 8.6 6.13 20.1 11.6

ICPL85063 43. 13.3 20.0 12.6 5.8 12.2 18.0 12.0

ICP7120 11.0 10.0 13.0 11.3 8.5 10.9 6.8 8.7

ICPL87119 12.7 8.7 21.7 14.3 13.3 8.2 8.2 9.9

Nsukka Local 3.0 3.3 6.3 4.2 2.7 2.5 2.6 2.6

Mean 8.8 11.8 18.1 12.9 7.5 7.5 11.5 8.8

No. of damaged seeds/plants

ICPL87 80.7 95.3 129.3 101.8 59.0 62.7 101.3 74.3

ICPL161 65.3 55.7 98.0 73.0 50.7 61.3 58.7 56.9

ICPL85063 50.0 76.7 139.0 88.6 52.3 82.3 88.0 74.2

ICP7120 41.0 60.0 111.7 70.9 50.7 44.7 82.7 59.3

ICPL87119 66.3 65.7 124.0 85.3 67.0 64.0 57.3 62.8

Nsukka Local 25.7 27.3 32.0 28.3 24.0 21.9 17.8 21.2

Mean 54.8 63.4 105.7 74.6 50.6 56.2 67.6 58.1

No. of damaged

pods

No. of damaged

seeds.

2005 2006 2005 2006

LSD0.05 for 2 crop. sys. means 5.33 3.635 13.30 12.88

LSD0.05 for 2 p/pea geno. means 7.54 5.141 18.81 18.22

LSD0.05 for 2 crop. sys x p/pea gen. Ns Ns Ns Ns

CV (%) 61.0 60.4 26.3 32.7

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Table 16: Number of pigeonpea pods/plant and of seeds/plant under miaze

intercropping and sole crop systems

Pigeonpea Cropping system Cropping system

Genotypes P/pea P/pea Sole Mean P/pea P/pea Sole Mean

+

Hm

+

Opm

P/pea

+

Hm

+

Opm

P/pea

2005 2006

Number of Pods/Plant

ICPL87 183.3 187.0 225.7 198.7 92.9 92.1 165.0 166.7

ICPL161 146.0 144.7 213.3 168.1 102.3 89.9 166.4 119.5

ICPL85063 86.7 144.0 227.0 152.6 108.0 129.9 215.2 151.0

ICP7120 132.3 130.3 200.0 154.2 98.2 125.9 131.4 118.5

ICPL87119 108.7 118.7 163.7 130.3 119.5 96.1 140.7 118.7

Nsukka Local 49.0 51.0 76.0 58.0 44.1 56.0 59.6 53.2

Mean 117.7 129.3 184.3 143.8 94.2 98.3 146.4 112.9

Number of seeds/plant

ICPL87 503.0 543.0 673.0 573.6 351.0 297.0 515.0 388.0

ICPL161 486.0 439.0 600.0 508.0 360.0 404.0 342.0 369.0

ICPL85063 268.0 459.0 686.0 471.0 286.0 379.0 587.0 417.0

ICP7120 278.0 358.0 571.0 403.0 283.0 367.0 402.0 251.0

ICPL87119 320.0 314.0 531.0 389.0 352.0 292.0 409.0 351.0

Nsukka Local 153.0 192.0 272.0 208.0 152.0 195.0 209.0 185.0

Mean 335.0 385.0 556.0 425.0 297.0 322.0 411.0 343.0

No of pods/plant

No. of seeds/

plant

2005 2006 2005 2006

LSD0.05 for 2 crop. sys. means 28.40 17.96 58.5 62.8

LSD0.05 for 2 p/pea geno. means 40.17 25.40 82.8 88.7

LSD0.05 for 2 crop. sys. x p/pea Ns Ns Ns Ns

CV (%) 29.2 23.5 20.32 27.0

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number of pods plant-1

and number of seeds plant-1

in 2005 and 2006. However, sole

cropping had higher number of pods and seeds in both 2005 and 2006.

The pigeonpea pod length was approximately 5cm on the average while the number

of seeds per pod was approximately 4 (Table 17). Pod length (cm) and number of seeds pod-

1 in pigeonpea were not significantly (P<0.05) affected by maize intercropping in both 2005

and 2006. Pigeonpea genotypes did not differ significantly in these parameters in 2005 but

Nsukka Local had significantly longer pods compared with the ICRISAT genotypes, while

ICP 7120 genotype had the lowest number of seeds pod-1

compared with any of the other

genotypes in 2006. Nsukka Local and ICPL 85063 genotypes also had significantly lower

number of seeds pod-1

compared with ICPL 161 in 2006. Interactions between cropping

system and pigeonpea genotypes on pod length and number of seeds pod-1

in both 2005 and

2006 were not significant (P<0.05).

Crop yields as influenced by intercropping

Intercropping of pigeonpea with maize on average significantly (P<0.05) depressed

pigeonpea grain yield (kg/ha) by 40% in 2005 and by 32% in 2006 (Table 18). There was a

greater yield depression under hybrid maize intercropping compared with the situation for

open pollinated maize intercropping in both 2005 and 2006. The pigeonpea genotypes

differed significantly (P<0.05) in grain yield (kg/ha) in both 2005 and 2006 with Nsukka

Local genotype yielding significantly lower than the ICRISAT genotypes in 2005. ICPL 87

yielded significantly (P<0.05) higher than the other ICRISAT genotypes. However, ICPL

85063 yielded highest compared with all the other genotypes in 2006. Intercropping with

maize did not significantly (P<0.05) affect 1000 seed weight (g) and threshing percentage

(%) in pigeonpea in both 2005 and 2006. Nsukka Local had significantly (P<0.05) the

highest 1000 seed weight (g) compared with the ICRISAT genotypes in both 2005 and 2006.

Threshing percentage (%) in the pigeonpea was not significantly affected by neither

cropping system nor pigeonpea genotype. Interaction between cropping system and

pigeonpea genotypes for grain yield, 1000 seed weight and threshing percentage were not

significant (P<0.05). However, sole cropping gave higher grain yield but it did not affect

1000 seed weight and threshing percentage. Intercropping with hybrid maize tended to

depress yield

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Table 17: Pigeonpea genotypes pod length and seed number pod-1

under maize

intercropping and sole crop systems

Pigeonpea Cropping system Cropping system

Genotypes P/pea P/pea Sole Mean P/pea P/pea Sole Mean

+

Hm

+

Opm

P/pea

+

Hm

+

Opm

P/pea

2005 2006

Pod length (cm)

ICPL87 3.96 4.53 4.60 4.36 4.35 4.63 5.08 4.68

ICPL161 4.00 4.16 4.33 4.16 4.69 4.70 4.33 4.57

ICPL85063 3.83 4.60 4.40 4.27 4.48 4.73 4.40 4.54

ICP7120 4.20 4.00 4.50 4.23 4.50 4.52 4.38 4.46

ICPL87119 4.23 4.26 3.76 4.08 4.60 4.71 4.65 4.65

Nsukka Local 4.63 4.83 4.66 4.71 4.84 4.80 5.08 4.90

Mean 4.14 4.40 4.37 4.30 4.48 4.68 4.65 4.60

Number of seeds/pod

ICPL87 3.66 4.00 4.00 3.88 3.53 3.53 4.00 3.68

ICPL161 3.50 3.53 3.93 3.65 3.73 3.73 3.73 3.73

ICPL85063 3.50 3.83 3.66 3.66 3.40 3.66 3.40 3.48

ICP7120 4.06 3.60 3.93 3.86 3.46 3.40 3.26 3.37

ICPL87119 3.83 3.66 3.60 3.70 3.46 3.60 3.86 3.64

Nsukka Local 3.50 3.66 3.50 3.55 3.46 3.46 3.66 3.53

Mean 3.67 3.71 3.77 3.72 3.51 3.56 3.65 3.57

Pod length (cm)

No. of seeds/

pod

2005 2006 2005 2006

LSD0.05 for 2 crop. sys. means Ns Ns Ns Ns

LSD0.05 for 2 p/pea geno. means Ns 0.269 Ns 0.220

LSD0.05 for 2 crop. sys. x p/pea Ns Ns Ns Ns

CV (%) 9.7 6.1 10.2 6.4

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Table 18: Pigeonpea grain yield (kg/ha), average 1000 seedweight (g) and threshing

percentage (%) under intercropping with maize.

Pigeonpea Cropping system Cropping system

Genotypes P/pea P/pea Sole Mean P/pea P/pea Sole Mean

+

Hm

+

Opm

P/pea

+

Hm

+

Opm

P/pea

2005 2006

Grain yield (kg/ha)

ICPL87 1429.0 1459.0 1792.0 1560.0 904.0 840.0 1415.0 1053.0

ICPL161 1219.0 1168.0 1617.0 1335.0 850.0 871.0 1283.0 1001.0

ICPL85063 749.0 1050.0 1680.0 1160.0 1035.0 1149.0 1694.0 1293.0

ICP7120 1011.0 1142.0 1521.0 1225.0 895.0 1154.0 1405.0 1151.0

ICPL87119 791.0 847.0 1334.0 990.0 974.0 847.0 1315.0 1045.0

Nsukka Local 701.0 809.0 1016.0 842.0 714.0 754.0 957.0 808.0

Mean 983.0 1079.0 1493.0 1185.0 895.0 936.0 1345.0 1059.0

1000 seed wt (g)

ICPL87 83.0 80.2 80.6 81.3 88.3 91.4 89.2 89.6

ICPL161 74.9 79.2 79.2 77.9 80.7 80.3 83.7 81.5

ICPL85063 75.6 82.0 80.2 79.3 88.1 29.9 90.5 89.5

ICP7120 78.8 82.8 80.1 80.6 86.1 92.8 89.4 89.4

ICPL87119 73.6 78.9 80.0 77.5 77.9 77.2 81.5 78.9

Nsukka Local 114.2 107.0 118.0 113.1 117.2 111.7 110.4 113.1

Mean 83.3 85.1 86.3 84.9 89.7 90.6 90.8 90.4

Threshing (%)

ICPL87 54.7 52.8 54.8 54.1 54.6 54.3 51.6 53.5

ICPL161 52.8 51.0 53.2 52.3 54.1 54.3 53.4 54.0

ICPL85063 50.8 52.3 54.4 52.5 54.6 52.9 53.8 53.7

ICP7120 51.8 52.6 52.2 52.2 50.8 54.4 53.4 52.8

ICPL87119 50.2 52.6 53.8 52.2 51.1 52.8 54.7 52.9

Nsukka Local 52.7 52.6 51.8 53.4 53.5 55.4 53.9 54.3

Mean 52.2 52.3 53.4 52.6 53.1 54.0 53.4 53.5

Grain yield

1000 seed wt

Threshing %

2005 2006 2005 2006 2005 2006

LSD0.05 for 2 crop. sys. means 132.7 165.0 Ns Ns Ns Ns

LSD0.05 for 2 p/pea geno. means 92.3 233.4 7.61 8.23 Ns Ns

LSD0.05 for crop.sys. x p/pea

CV (%)

Ns

16.5

Ns

23.0

Ns

9.4

Ns

9.5

Ns

3.7

Ns

3.7

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slightly more than open pollinated maize in ICPL 85063, ICP 7120, ICPL 87119 and

Nsukka Local mixtures in both 2005 and 2006.

Maize grain yield (kg/ha) was significantly (P<0.5) reduced when intercropped with

pigeonpea by 23.7% and 22.2% on the average in 2005 and 2006 respectively (Table 19).

Intercropped maize yields with the pigeonpea genotypes for both hybrid and open pollinated

maize did not differ among themselves but were least in their mixtures with Nsukka Local

pigeonpea in 2005. In 2006 however, hybrid maize yields in mixture with ICPL 7120 and

ICPL 87119 were significantly higher compared with its yields in mixtures with the other

pigeonpea genotypes. In open pollinated maize genotype, its mixture yield with ICPL 87119

was significantly higher compared with its mixture yield with other genotypes and least for

its mixture yield with Nsukka Local. The maize genotypes did not differ significantly in

grain yield in 2005 but hybrid maize yielded significantly (P<0.05) higher than the open

pollinated maize in 2006. Interaction of cropping system and maize genotypes was not

obvious but maize grain yield tended to be reduced in mixture with Nsukka Local than with

the ICRISAT genotypes in 2005. Intercropping maize with pigeonpea did not significantly

(P<0.05) affect maize shelling percentage in both 2005 and 2006, but the open pollinated

maize had significantly (P<0.05) higher shelling percentage in 2005 and there was no clear

effect in 2006. Interactions between cropping system and maize genotypes was not

significant for maize shelling percentage in both 2005 and 2006.

Land Equivalent Ratio (LER) assessment of the mixtures.

The mixture yields of most of the crop genotypes grown in the pigeonpea/maize

mixtures were close to or above half of their corresponding sole crop yields (relative grain

yields) (Table 20). Combining the relative grain yield values for the component crops in

mixtures gave land equivalent ratio (LER) values greater than 1.0 in all cases. Under hybrid

maize, relative yield of pigeonpea was lowest with ICPL 85063 but highest with ICPL 87 in

2005. The LER value was lowest (1.12) with ICPL 85063 and highest (1.54) with ICPL 87

and closely followed by ICPL 161 with (1.52). In 2006, the relative yield was lowest with

ICP 7120 and highest with Nsukka Local. The LER was lowest (1.29) with ICPL 161 and

highest (1.49) with ICP 7120.

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Under open pollinated maize, relative yield of pigeonpea was lowest with ICPL 85063 and

highest with ICPL 87 in 2005 and lowest with ICPL87119 and ICPL 87 and highest with

ICPL 7120. The LER values were lowest (1.39) with Nsukka Local and highest with ICP

7120 and ICPL 87 in 2005 and lowest with ICPL 87119 and highest with ICP 7120 in 2006.

Benefit/Cost Analysis.

Cost of production was higher in intercropping systems of pigeonpea/maize mixtures than in

sole cropping systems of either pigeonpea or maize in 2005 (Table 21). Cost of production

of ICRISAT pigeonpea genotypes mixtures with hybrid maize was higher than cost of

production of their mixtures with open pollinated maize by two hundred and twenty five

naira (₦225) due to higher cost of hybrid maize seed. The cost of production was higher in

ICRISAT pigeonpea/maize mixtures than with Nsukka Local/maize mixtures by 1810 due to

higher cost of the ICRISAT pigeonpea seeds and the higher cost of its transportation

compared with that of Nsukka Local genotype seed. This also resulted in higher cost of

production in sole ICRISAT pigeonpea genotypes compared with the Nsukka Local

genotype counterpart. The higher cost of hybrid maize seed compared with open pollinated

maize seed resulted in higher cost of production in hybrid maize compared with open

pollinated maize. Cost of sole crop production was higher in pigeonpea than in maize.

Cost of production was again higher with intercropping of pigeonpea and maize

mixtures than in the sole cropping of either pigeonpea or maize in 2006 (Table 22). The cost

of production of pigeonpea genotypes in mixture with hybrid maize was slightly higher than

the cost of production of their mixtures with open pollinated maize counterpart due to the

higher cost price of hybrid maize compared with open pollinated maize. This also resulted in

higher cost of production for sole hybrid maize compared with sole open pollinated maize.

In like manner, the cost of production of ICRISAT pigeonpea genotypes was slightly higher

than the cost of production for Nsukka Local genotype both under intercrop and sole crop

production systems due to the higher cost price for the ICRISAT pigeonpea genotypes seeds

compared with the Nsukka Local genotype. The cost of fertilizer and its transportation was

slightly higher in 2006 but the cost of transportation for ICRISAT pigeonpea seeds dropped

compared to that in 2005. Cost of production was slightly lower in 2006 compared with

2005.

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The revenue analysis showed that intercropping systems gave higher revenue than

sole cropping systems (Table 23). Greater yield (kg/ha) and revenue (naira) accrued from

the maize crop in both intercrop and sole crop systems than from its pigeonpea counterpart.

The ICRISAT pigeonpea genotypes gave greater yield, revenue and profits under both

intercrop and sole crop systems compared with Nsukka Local genotype where a loss and

negative gross margin (-18%) was obtained in the sole crop. All the ICRISAT

pigeonpea/maize mixtures had above 2.0 benefit/cost ratio while their sole crops had above

1.0 benefit/cost ratio. The Nsukka Local genotype had a lower performance with a

benefit/cost ratio above 2.0 in mixture with hybrid maize, below 2.0 with open pollinated

maize and below 1.0 in its sole crop. All the ICRISAT pigeonpea/maize mixtures gave

greater gross margin values than the Nsukka Local/maize mixtures. Sole maize crops gave

higher profits compared to their sole pigeonpea counterparts.

The revenue analysis in 2006 (Table 24) showed a similar trend to that in 2005

(Table 23) with higher total crop yields, revenue and profits under intercropping systems

compared with sole crop systems for both the pigeonpea and maize crops. The ICRISAT

pigeonpea genotypes again performed better in crop yield, revenue and profit under both

intercrop and sole crop systems compared to its Nsukka Local pigeonpea counterpart. Crop

yields, revenue and profits were higher in sole maize crops compared with the crops of both

the ICRISAT and Nsukka Local pigeonpea genotypes.

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Table 19: Maize grain yield (kg/ha) and shelling percentage (%) under intercropping

with pigeonpea.

Maize Cropping system

Genotypes Maize Maize Maize Maize Maize Maize Sole Mean

+

ICPL87

+

ICPL161

+

ICPL85063

+

ICP7120

+

ICPL87119

+

Nsk-Lo

Maize

Grain yield (kg/ha)

2005

Hybrid maize 2915 2896 2653 2965 3083 2550 3826 2984

Open P-maize 2957 2568 2845 2990 2907 2194 3510 2853

Mean 2936 2732 2749 2977 2995 2372 3668 2918

2006

Hybrid maize 2890 2753 3120 3621 3156 3033 4281 3265

Open P-maize 2845 2752 2707 3305 2859 2699 3902 3010

Mean 2867 2752 2913 3463 3007 2866 4091 3137

Shelling (%)

2005

Hybrid maize 62.3 63.4 63.3 59.8 59.5 61.0 59.1 61.3

Open P-maize 62.2 64.8 68.3 61.9 62.3 63.0 64.0 63.8

Mean 62.3 64.3 65.8 60.9 60.9 62.0 61.6 62.5

2006

Hybrid maize 62.9 63.1 62.2 64.4 61.9 63.3 64.1 63.2

Open P-maize 61.5 61.7 61.3 64.4 62.8 62.2 61.7 62.2

Mean 62.2 62.4 61.8 64.4 62.4 62.8 63.0 62.7

Grain yield

Shelling (%)

2005 2006 2005 2006

LSD0.05 for 2 crop. systems means 499.9 399.0 Ns Ns

LSD0.05 for 2 maize geno. means Ns 213.3 2.155 Ns

LSD0.05 for 2 crop. sys. x maize Ns Ns Ns Ns

CV (%) 14.4 10.7 5.4 2 .9

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Table 20: Mean relative grain yield of maize and pigeonpea genotypes and land

equivalent ratio (LER) values in the pigeonpea/maize intercropping system

Hybrid maize + Pigeonpea mixtures

2005 2006

Maize P/pea LER Maize Pigeonpea LER

Sole maize 1.00 - 1.00 1.00 - 1.00

Sole Pigeonpea - 1.00 1.00 - 1.00 1.00

HM/ICPL 87 0.75 0.79 1.54 0.67 0.66 1.33

HM/ICPL 85063 0.68 0.44 1.12 0.72 0.66 1.38

HM/ICP 7120 0.77 0.68 1.45 0.86 0.63 1.49

HM/ICPL 161 0.76 0.76 1.52 0.63 0.66 1.29

HM/ICPL 87119 0.80 0.59 1.39 0.73 0.74 1.47

HM/Nsukka local 0.65 0.68 1.33 0.70 0.75 1.45

Open pollinated maize + Pigeonpea mixtures

Sole maize 1.00 - 1.00 1.00 - 1.00

Sole Pigeonpea - 1.00 1.00 - 1.00 1.00

OM/ICPL 87 0.83 0.81 1.64 0.74 0.64 1.38

OM/ICPL 85063 0.82 0.61 1.43 0.69 0.72 1.41

OM/ICP 7120 0.85 0.76 1.64 0.83 0.82 1.66

OM/ICPL 161 0.75 0.74 1.49 0.71 0.68 1.39

OM/ICPL 87119 0.81 0.65 1.46 0.73 0.64 1.37

OM/Nsukka local 0.61 0.78 1.39 0.69 0.80 1.49

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Table 21: Cost items for production per hectare in pigeonpea/maize mixtures in 2005

Item

Mixtures Sole crops

ICRISAT

P/pea

+

HM

ICRISAT

P/Pea

+

OPM

NSK

Local

P/Pea

+

HM

NSK

Local

P/Pea

+

OPM

ICRISAT

P/Pea

NSK

Local

HM

OPM

Cost of prelim. soil analysis (N) 1,500 1,500 1,500 1,500 1,500 1,500 1,500 1,500

Cost of land preparation (N) 15,000 15,000 15,000 15,000 15,000 15,000 15,000 15,000

Cost of seeds –ICRISAT P/Pea @ N100/kg and Nsukka

Local P/Pea @ N60/kg for 4 kg each.

400

400

240

240

400

240

-

-

Hybrid maize @ N150/kg and OPM at N100/kg for 4.5kg

each.

675

450

675

450

-

-

675

450

Seed transportation cost - Pigeonpea

- Maize

1,800 1,800 150 150 1,800 150 - -

500 500 500 500 - - 500 500

Cost of planting - Pigeonpea

- Maize

3,000 3,000 3,000 3,000 3,000 3,000 - -

2,000 2,000 2,000 2,000 - - 2,000 2,000

Cost of fert. (4 bags @ N500/bag) 10,000 10,000 10,000 10,000 10,000 10,000 10,000 10,000

Cost of transportation of fertilizer 600 600 600 600 600 600 600 600

Cost of application of fertilizer @ N500/bag

2,000

2,000

2,000

2,000

2,000

2,000

2,000

2,000

Purchase of insecticide (1.5L) @ N1800/L 2,700 2,700 2,700 2,700 2,700 2,700 - -

Cost of spraying insecticide 1,500 1,500 1,500 1,500 1,500 1,500 - -

Cost of weeding - 1st

- 2nd

12,000 12,000 12,000 12,000 12,000 12,000 12,000 12,000

12,000 12,000 12,000 12,000 12,000 12,000 12,000 12,000

Cost of Harvest - Pigeonpea

- Maize

3,000 3,000 3,000 3,000 3,000 3,000 - -

2,000 2,000 2,000 2,000 - - 2,000 2,000

Cost of threshing pigeonpea 2,500 2,500 2,500 2,500 2,500 2,500 - -

Cost of shelling maize 2,000 2,000 2,000 2,000 - - 2,000 2,000

Total 75,175 74,950 73,365 73,140 68,000 66,190 60,275 61,050

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Table 22: Cost items for production per hectare in pigoenpea/maize mixtures in 2006.

Item

Mixtures Sole crops

ICRISAT

P/pea

+ HM

ICRISAT P/Pea

+

OPM

NSK Local P/Pea

+

HM

NSK Local P/Pea

+

OPM

ICRISAT

P/Pea

NSK Local

HM

OPM

Cost of prelim. Soil analysis (N) 1,500 1,500 1,500 1,500 1,500 1,500 1,500 1,500

Cost of land preparation (N) 15,000 15,000 15,000 15,000 15,000 15,000 15,000 15,000

Cost of seeds –ICRISAT P/Pea @ N100/kg and

Nsukka Local P/Pea @ N60/kg for 4 kg each.

400

400

240

240

400

240

-

-

Hybrid maize @ N150/kg and OPM at N100/kg

for 4.5kg each.

675

450

675

450

-

-

675

450

Seed transportation cost - Pigeonpea

- Maize

100 100 100 100 100 100 - -

500 500 500 500 - - 500 500

Cost of Planting - Pigeonpea

- Maize

3,000 3,000 3,000 3,000 3,000 3,000 - -

2,000 2,000 2,000 2,000 - - 2,000 2,000

Cost of fert. (4 bags @ N500/bag) 10,800 10,800 10,800 10,800 10,800 10,800 10,800 10,800

Cost of transportation of fertilizer 800 800 800 800 800 800 800 800

Cost of application of fertilizer @ N500/bag

2,000

2,000

2,000

2,000

2,000

2,000

2,000

2,000

Purchase of insecticide (1.5L) @ N1800/L 2,700 2,700 2,700 2,700 2,700 2,700 - -

Cost of spraying insecticide 1,500 1,500 1,500 1,500 1,500 1,500 - -

Cost of weeding - 1st

- 2nd

12,000 12,000 12,000 12,000 12,000 12,000 12,000 12,000

12,000 12,000 12,000 12,000 12,000 12,000 12,000 12,000

Cost of Harvest - Pigeonpea

- Maize

3,000 3,000 3,000 3,000 3,000 3,000 - -

2,000 2,000 2,000 2,000 - - 2,000 2,000

Cost of threshing pigeonpea 2,500 2,500 2,500 2,500 2,500 2,500 - -

Cost of shelling maize 2,000 2,000 2,000 2,000 - - 2,000 2,000

Total 74,475 74,250 74,315 69,640 67,800 67,140 61,275 61,050

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TABLE 23: Revenue items and Benefit/cost ratio analysis for 2005

Cropping System Yield (kg/ha)

Pigeonpea maize

Revenue

Pigeonpea Maize

Total

Revnue

Realized (N)

Profit

(Revenue –

Cost prod.)

Benefit/cost

Ratio

Gross

margin

(%)

ICPL 87 + HM 1,429 2,915 78,595 131,175 209,770 134,595 2.79 64

ICPL 87 + OPM 1,459 2,957 80,245 133,065 213,310 138,360 2.84 65

ICPL 87 SOLE 1,792 - 98,560 - 98,560 30,560 1.45 31

ICPL 161 + HM 1,219 2,896 67,045 130,320 197,365 122,190 2.63 62

ICPL 161 + OPM 1,168 2,568 64,240 115,560 179,800 104,850 2.40 58

ICPL 161 SOLE 1,617 - 88,935 - 88,935 20,935 1.31 24

ICPL 85063 + HM 749 2,653 41,195 119,385 160,580 85,405 2.14 53

ICPL 85063 + OPM 1,050 2,845 57,750 128,025 185,775 110,825 2.48 60

ICPL 85063 SOLE 1,680 - 92,400 - 92,400 24,400 1.36 26

ICP 7120 + HM 1,011 2,965 55,605 133,425 189,030 113,855 2.51 60

ICP 7120 + OPM 1,142 2,990 62,810 134,550 197,360 122,410 2.63 62

ICP 7120 SOLE 1,521 - 83,655 - 83,655 15,655 1.23 19

ICPL 87119 + HM 791 3,085 43,505 138,825 182,330 107,155 2.42 59

ICPL 87119 + OPM 847 2,907 46,585 130,815 177,400 102,450 2.37 58

ICPL 87119 SOLE 1,334 - 73,370 - 73,370 5,370 1.08 07

Nsukka Local + HM 701 2,550 38,555 114,750 153,305 79,940 2.09 52

Nsukka Local + OPM 809 2,194 44,495 98,730 143,225 70,085 1.96 49

Nsukka Local SOLE 1,016 - 55,880 - 55,880 -10,310 0.76 -18

SOLE HM - 3,824 - 172,170 172,170 111,895 2.86 65

SOLE OPM - 3,510 - 157,950 157,950 97,900 2.63 62

* Profit = Total Revenue realized - Total cost of production.

* Benefit/Cost Ratio = Revenue Realized

Total Cost

* Gross Margin (%) = Total Revenue – Total Cost

Total Revenue.

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TABLE 24: Revenue Items and Benefit/cost analysis for 2006

Cropping

combination

Yield (kg/ha)

Pigeonpea maize

Revenue

Pigeonpea Maize

Total Revnue

Realized (N)

Profit

(Revenue –

Cost prod.)

Benefit/cos

t Ratio

Gross

margin

(%)

ICPL 87 + HM 904 2,890 49,720 130,050 179,770 105,295 2.41 59

ICPL 87 + OPM 840 2,845 46,200 128,025 174,225 99,975 2.35 59

ICPL 87 SOLE 1,415 - 77,825 - 77,825 10,025 1.15 13

ICPL 161 + HM 850 2,753 46,750 123,885 170,635 96,160 2.29 56

ICPL 161 + OPM 871 2,752 47,905 123,840 171,745 97,495 2.31 57

ICPL 161 + SOLE 1,283 - 70,565 - 70,565 2,765 1.04 04

ICPL 85063 + HM 1,035 3,120 56,925 140,400 197,325 122,850 2.65 62

ICPL 85063 +

OPM

1,149 2,707 63,196 121,815 185,011 110,761 2.49 60

ICPL 85063

+SOLE

1,694 - 93,170 - 93,170 25,370 1.37 27

ICP 7120 + HM 895 3,621 49,225 162,945 212,170 137,695 2.85 65

ICP 7120 + OPM 1,154 3,305 63,470 148,725 212,195 137,945 2.86 65

ICP 7120 + SOLE 1,405 - 77,275 - 77,275 9,475 1.14 12

ICPL 87119 + HM 974 3,156 53,570 142,020 195,590 121,115 2.63 62

ICPL 87119 +

OPM

847 2,859 46,585 128,655 175,240 100,990 2.36 58

ICPL 87119 +

SOLE

1,315 - 72,325 - 72,325 4,525 1.07 06

Nsukka Local +

HM

714 3,033 39,270 136,485 175,755 101,440 2.37 58

Nsukka Local +

OPM

754 2,699 41,470 121,455 162,925 93,285 2.34 57

Nsukka Local +

SOLE

957 - 52,635 - 52,635 -15,005 0.78 -29

SOLE HM - 4,281 - 192,645 192,645 131,370 3.14 68

SOLE OPM - 3,902 - 175,590 175,590 114,540 2.88 65

* Profit = Total Revenue realized - Total cost of production.

* Benefit/Cost Ratio = Revenue Realized

Total Cost

* Gross Margin (%) = Total Revenue – Total Cost

Total Revenue.

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Evaluation of pigeonpea ratoon crops.

Percentage plant survival in pigeonpea ratoon crops

Some pigeonpea plants dried up in the dry season prior to the rains in the second season of

production for the ratoon crops. Ratoon plants percentage survival was significantly

(P<0.05) higher in plants that were grown in mixture with open pollinated maize compared

with those that were grown in mixture with hybrid maize and as sole crops as shown by the

records made in March and May 2007 (Table 25). Percentage survival was significantly

higher in the long-duration Nsukka Local genotype compared with the ICRISAT short- and

medium-duration genotypes in both the months of March and May 2007. There was no clear

differences between the ICRISAT short- and medium-duration genotypes as ICPL 85063 (

medium-duration) and ICPL 87 (short-duration) genotypes had significantly higher

percentage survival compared with ICPL 87119 and ICP 7120 which are of medium

duration type. Similarly in May 2007, ICPL 85063 (medium-duration), ICPL 87 (short-

duration) and ICPL 161 (short-duratio) had significantly higher survival compared with

ICPL 87119 and ICP 7120 which are of medium-duration types. Effects of cropping system

interaction with pigeonpea genotypes was not significant (P<0.05) but ratoon plants survival

tended to be lower in those that were grown as sole crops.

Yield parameters and yield assessment in pigeonpea ratoon crops.

The number of pods plant-1

and seeds plant-1

were on average significantly (P<0.05)

higher in sole cropped pigeonpea ratoon crops compared with those intercropped with

hybrid maize (Table 26). The number of pods plant-1

and seeds plant-1

were significantly

higher in sole cropped ratoon plants than those previously intercropped with hybrid maize.

The number of pods plant-1

and seeds plant-1

were lower in those previously intercropped in

hybrid maize than those with open pollinated maize. The ICRISAT genotypes had

significantly (P<0.05) higher number of pods plant-1

and seeds plant-1

compared with

Nsukka Local genotypes. The effect of cropping system interaction with pigeonpea

genotypes on the number of pods or seeds plant-1

was not significant.

Cropping system did not affect pigeonpea pod length and number of seeds per pod

(Table 27). Nsukka Local had significantly longer pods on average but had similar number

of seed with the other varieties. There were no clear significant interaction effects between

cropping system and pigeonpea genotypes on pod length and number of seed per pod.

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Table 25: Pigeonpea ratoon crop percentage plant survival.

Pigeonpea Previous Cropping system

Genotypes P/pea P/pea Sole Mean

+

Hm

+

Opm

P/pea

March (2007) % plant survival

SD types

ICPL87 60.0 73.4 62.7 65.3

ICPL161

MD types

60.7 64.9 56.7 60.8

ICPL85063 69.6 65.8 66.9 67.5

ICP7120 58.4 56.2 53.3 56.0

ICPL87119

LD type

62.4 66.5 49.9 59.3

Nsukka Local 81.4 86.9 90.0 86.1

Mean 65.3 69.0 63.2 65.8

May 2007 % plant survival.

SD types

ICPL87 54.5 66.8 52.9 58.1

ICPL161

MD types

56.0 58.8 51.0 55.2

ICPL85063 63.0 63.9 57.1 61.3

ICP7120 46.4 47.5 45.1 46.4

ICPL87119

LD type

46.2 55.9 42.8 48.3

Nsukka Local 74.1 76.3 73.6 74.7

Mean 56.7 61.5 53.7 57.3

March %plt. Surv

May % plt. surv.

LSD0.05 for 2 crop. sys. means 4.12 4.69

LSD0.05 for 2 p/pea geno. means 5.83 6.64

LSD0.05 for 2 crop. sys. x p/pea Ns Ns

CV( %) 9.2 12.1

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Table 26; Pigeonpea ratoon crop yield responses in number of pods/plant and number

of seeds/plant at harvest in 2007.

Pigeonpea Previous Cropping system

Genotypes P/pea P/pea Sole Mean

+

Hm

+

Opm

P/pea

Number of pods/plant

ICPL87 70.1 82.0 87.0 79.7

ICPL161 79.1 122.0 122.0 107.7

ICPL85063 78.9 97.9 110.6 95.8

ICP7120 82.7 113.3 100.7 98.9

ICPL87119 95.2 74.1 93.8 87.7

Nsukka Local 61.6 55.0 59.3 58.6

Mean 77.9 90.7 95.5 88.1

Number of seeds/plant

ICPL87 207.7 230.9 255.0 231.2

ICPL161 195.4 207.0 308.3 236.9

ICPL85063 225.6 271.3 254.5 250.5

ICP7120 216.3 300.0 279.3 265.2

ICPL87119 261.7 213.9 271.5 249.0

Nsukka Local 170.7 157.4 171.8 166.6

Mean 212.9 230.1 256.8 233.2

No. of pods/plant

No of seeds/plant

LSD0.05 for 2 crop. sys. means 13.98 32.46

LSD0.05 for 2 p/pea geno. means 19.77 45.91

LSD0.05 for 2 crop. sys. x p/pea Ns Ns

CV (%) 23.4 20.5

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Table 27: Pigeonpea ratoon crop pod length (cm) and number of seeds/pod.

Pigeonpea Previous Cropping system

Genotypes P/pea P/pea Sole Mean

+

Hm

+

Opm

P/pea

Pod length (cm)

ICPL87 4.6 4.5 4.3 4.5

ICPL161 4.4 4.5 4.9 4.6

ICPL85063 4.9 4.6 4.4 4.4

ICP7120 4.3 4.4 4.4 4.4

ICPL87119 4.9 4.4 4.6 4.6

Nsukka Local 5.1 4.9 5.1 5.0

Mean 4.6 4.5 4.6 4.6

No. of seed/pod

ICPL87 2.9 2.8 2.8 2.8

ICPL161 2.5 2.5 2.5 2.5

ICPL85063 2.9 2.9 2.3 2.7

ICP7120 2.7 2.7 2.7 2.7

ICPL87119 2.7 2.9 2.8 2.8

Nsukka Local 2.8 2.8 2.8 2.8

Mean 2.7 2.7 2.6 2.7

Pod length (cm)

No of seeds/pod

LSD0.05 for 2 crop. sys. means Ns Ns

LSD0.05 for 2 p/pea Geno. means 0.27 Ns

LSD0.05 for 2 crop. sys x p/pea Ns Ns

CV (%0 6.3 12.4

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Insect pests on pigeonpea ratoon crops at the reproductive stage.

The number of insect pests plant-1

at flowering and podding stages in pigeonpea

ratoon crops were not affected by cropping system while the pigeonpea genotypes differed

significantly (P<0.05) in this parameters at both stages (Table 28). ICPL 87119 and ICPL

85063 had significantly (P<0.05) higher number of insect pests per plant at the flowering

stage while ICPL 85063 had significantly higher number of insect pests plant-1

at the

podding stage. ICPL 7120, ICPL 161 and Nsukka Local maintained relatively lower number

of insect pests plant-1

at both flowering and podding stages compared with ICPL 87119,

ICPL 85063 and ICPL 87. Cropping system interaction with pigeonpea genotypes had no

significant effect on the number of insect pests per plant at both flowering and podding

stages in pigeonpea ratoon crops.

The percentage insect damage of pods or and seeds in pigeonpea ratoon crop was

not significantly (p<0.05) affected by maize intercropping (Table 29). On average, over 29%

of the seeds and about 23% of the pods were damaged by insect pests. Damages of

pigeonpea pods and seeds by pests in the pigeonpea genotypes did not vary with the same or

varying cropping systems.

Grain yield (kg/ha) and threshing percentage (%) in pigeonpea ratoon crops.

The sole cropped pigeonpea ratoon crop yielded higher than cases of intercropping

by 10.2% to 13% although no clear statistical significance was established (Table 30). The

pigeonpea genotypes did not differ significantly (P<0.05) in their grain yield but the

ICRISAT genotypes yielded higher with 693.8kg/ha on the average against the 574.0kg/ha

in the Nsukka Local. The medium-duration genotypes yielded higher than the short-duration

and the long-duration genotypes. It was medium-duration>short-duration>long-duration.

ICP 7120 genotype yielded significantly higher than Nsukka Local, ICPL 161 and ICPL 87

genotypes, but not more than ICPL 85063 and ICPL 87119.

Threshing percentage was on average about 44%. Cropping system had no effect on

threshing percentage for the same or varying pigeonpea genotypes. Cropping system

interaction with the pigeonpea genotypes had no significant effect on grain yield and

threshing percentage in the pigeonpea ratoon crops.

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Table 28: Number of blister beetles and pod borer insect pests plant-1

at flowering

stage and pod fly, pod sucking bugs and pod borers at podding stage in pigeonpea

ratoon crops.

Pigeonpea Previous Cropping system

Genotypes P/pea P/pea Sole Mean

+

Hm

+

Opm

P/pea

No. of insect pests at flowering

ICPL87 2.896 2.926 2.890 2.904

ICPL161 2.883 2.730 2.806 2.806

ICPL85063 2.980 2.936 3.003 2.973

ICP7120 2.873 2.890 2.853 2.872

ICPL87119 3.020 3.030 3.006 3.018

Nsukka Local 2.866 2.843 2.860 2.856

Mean 2.920 2.892 2.903 2.905

No. of insect pests at podding

ICPL87 2.440 2.443 2.437 2.440

ICPL161 2.240 2.390 2.443 2.358

ICPL85063 2.697 2.577 2.420 2.564

ICP7120 2.487 2.370 2.460 2.439

ICPL87119 2.497 2.460 2.390 2.449

Nsukka Local 2.197 2.330 2.213 2.247

Mean 2.426 2.428 2.394 2.416

At flowering

At podding

LSD0.05 for 2 crop. sys. means Ns Ns

LSD0.05 for 2 p/pea geno. means 0.0623 0.114

LSD0.05 for 2 crop.sys. x p/pea Ns Ns

CV (%) 2.2 4.9

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Table 29: Pigeonpea ratoon percentage(%) crop insect-damaged pods and seeds as

influenced by cropping system and pigeonpea genotype.

Pigeonpea Previous Cropping system

Genotypes P/pea P/pea Sole Mean

+

Hm

+

Opm

P/pea

Seed damaged /plant(%)

ICPL87 32.3 29.8 31.2 31.1

ICPL161 31.9 29.8 28.8 30.1

ICPL85063 32.0 27.8 27.8 29.2

ICP7120 30.1 28.4 30.2 29.6

ICPL87119 29.9 30.8 25.7 28.8

Nsukka Local 28.2 28.3 26.1 27.5

Mean 30.7 29.2 28.3 29.4

Pod damaged /plant(%)

ICPL87 19.8 24.0 22.1 22.0

ICPL161 24.0 23.2 24.1 23.8

ICPL85063 25.6 21.9 21.7 23.1

ICP7120 23.1 21.3 24.8 23.1

ICPL87119 21.2 25.5 26.1 24.3

Nsukka Local 23.0 19.7 19.8 20.8

Mean 22.8 22.6 23.1 22.8

% Damaged pods

% Damaged seeds

LSD0.05 for 2 crop. sys. means Ns Ns

LSD0.05 for 2 p/pea geno. means Ns Ns

LSD0.05 for crop. sys. x p/pea Ns Ns

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Table 30: Pigeonpea ratoon crop grain yield (kg/ha) and threshing percentage as

influenced by pigeonpea genotype and cropping system.

Pigeonpea Cropping system

Genotypes P/pea P/pea Sole Mean

+

Hm

+

Opm

P/pea

Grain yield (kg/ha)

ICPL87 592.0 676.0 652.0 640.0

ICPL161 526.0 60.9.0 732.0 623.0

ICPL85063 601.0 830.0 745.0 726.0

ICP7120 769.0 791.0 861.0 807.0

ICPL87119 743.0 566.0 710.0 673.0

Nsukka Local 608.0 476.0 637.0 574.0

Mean 640.0 658.0 723.0 674.0

Threshing percentage (%)

ICPL87 44.9 45.4 45.5 45.3

ICPL161 40.1 41.9 43.0 41.7

ICPL85063 40.8 51.0 47.4 46.4

ICP7120 44.0 42.6 44.7 43.8

ICPL87119 47.7 46.0 43.1 45.6

Nsukka Local 41.6 43.5 42.7 42.6

Mean 43.2 45.1 44.4 44.2

Grain yield

Threshing %

LSD0.05 for 2 crop. sys. means Ns Ns

LSD0.05 for 2 p/pea geno. means Ns Ns

LSD0.05 for 2 crop. sys. x p/pea Ns Ns

CV (%) 23.9 8.8

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Pigeonpea Correlation Matrix of pigeonpea grain yield with growth and yield

component parameters.

The pigeonpea genotypes grain yield (g/plant) in 2005 had a highly significant

(P<0.01) positive correlation with the number of leaves/plant, number of primary

branches/plant, plant girth, number of pods per plant, number of seeds per plant and dry

matter weight of leaf, stem and root plant fractions (Table 31). It also had a significant

(P<0.05) positive correlation with pod bearing stem length (inflorescence distribution

length) and number of seeds per pod. Grain yield had no statistically significant correlation

with pod length and plant height although there were positive trends. Seed grain yield

related very negatively to days to 50% maturity and negatively with days to 50% anthesis.

The number of seeds had a highly significant (P<0.01) correlation with grain yield, number

of pods, number of leaves, plant girth and dry matter weight of stem, leaves, plant girth and

dry matter weight of correlation with inflorescence distribution length and had no significant

correlation with the number of primary branches. It however correlated very negatively with

number of days to 50% flowering. The number of days to maturity in the pigeonpea also had

highly significant negative correlation with pod bearing stem length, number of pods,

number of seeds and negatively but not significant correlation with the number of leaves,

root dry matter weight, plant girth and number of seeds per pod. However, it had highly

significant positive correlation with days to 50% flowering and number of primary branches.

The pigeonpea genotypes grain yield in 2006 had a highly significant (P<0.01)

positive correlation with the number of leaves per plant, number of pods per plant, number

of seeds per plant, dry matter weight of leaves, stems and roots plant fractions (Table 32).

The pigeonpea genotypes grain yield also had a significant (P<0.05) positive correlation

with plant girth, pod bearing stem length (inflorescence distribution length) and plant height

at harvest. There was no statistically significant correlation between grain yield and the

number of primary branches, number of seeds per pod and one thousand seed weight

although there were positive trends. The pigeonpea genotypes′ seed grain yield correlated

negatively with the number of days to 50% flowering. It also showed a negative correlation

trend with pod length and days to 50% maturity. The number of seeds had a highly

significant (P<0.01) positive correlation with seed grain yield, number of pods,

inflorescence distribution length and dry matter weights of stem and root fractions. It had a

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significant (P<0.05) positive correlation with number of leaves and leaf dry matter weight. It

had a positive but not significant correlation with number of primary branches and plant

girth. It however had a significantly negative (P<0.01) correlation with days to 50%

flowering. The number of days to maturity also had a highly significant negative correlation

with pod bearing stem length and number of pods and a negative but not significant

correlation with grain yield, number of seeds and number of seeds pod-1

. It however had

highly significant positive correlation with days to 50% flowering and plant girth and a

significant correlation with pod length.

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Table 31: Pigeonpea Correlation Analysis 2005

Yield

(g)

50%

(flow.

(Days)

Leaves

(No)

DM

Leaves

(g)

DM

Stem

(g)

DM

Root (g)

Pri.

Branch

(No)

Girth

(cm)

Pod.

Bear. SL

(cm)

Pods

(No)

Seeds

(No)

Pod

Length

(cm)

Seeds/

pod (No)

50%

mat

(days)

Height

Harvest

(cm)

Thousand

seed wt

(g)

Yield (g) - -.388* .824** .581** .608** .508*** .659*** .449** .293* .908** .910** .093 .320* -.563** .196 -.291*

50% Flow (day) - -.312* .109 .053 .127 .212 .172 -.836** -.563** -.542** .345* -.221 .739** .425** .845**

Leaves (No) - .622* .619** .454** .235 .421** .520** .725** .744** .099 .379** -.229 -.527** .824**

DM-Leaves (g) - .953** .560** .530** .634** .143 .430** .413** .336* .336* .109 .335* .158

DM stein (g) - .568** .517** .653** .190 .460** .475** .323* .351** .153 .308* .102

DM Root (g) - .441** .385** .130 .316* .432** .201 .196 -.151 .331* .164

Pri. Branch (No) - .633** -.315 .152 .173 .438** .097 .509** .389** .510**

Girth (cm) - .073 .366* .350** .413** .179 -.076 .206 .133

Pod Bear. SL(cm) - .732** .722* -.291* .167 -.755** -.246 -.716**

Pods (No) - .902** .049 .331* -.664** .011 -.468**

Seeds (No) - .030 .270* -.644** .014 -.431**

Pod Length (cm) - .534** .200 .229 .307*

Seeds/ Pod (No) - -.232 .122 -.209

50% Mat. (days) - .269* -.563**

Height Harvest (cm) - .269*

Thousand seed wt

(g)

-

** Correlation is significant at the 0.01 level

* Correlation is significant at the 0.05 level

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Table 32: Pigeonpea Correlation Analysis 2006

Yield

(g)

50%

(flow.

(Days)

Leaves

(No)

DM

Leaves

(g)

DM

Stem

(g)

DM

Root

(g)

Pri.

Branch

(No)

Girth

(cm)

Pod.

Bear. SL

(cm)

Pods

(No)

Seeds

(No)

Pod

Length

(cm)

Seeds/

pod (No)

50%

mat

(days)

Height

Harvest

(cm)

Thousand

seed wt (g)

Yield (g) - -.329* .580** .452** .459** .471** .260 .314* *343* .833** .730** -.060 .222 -.188 .299* .106

50% Flow (day) - .0.75 .275* .216 .125 .456** .521** -.778** -.555** -.557** .367** -.053 .407** .050 -.329*

Leaves (No) - .688** .665** .577** .567** .573** .110 .549** .348* -.119 -.050 .142 .438** .204

DM-Leaves (g) - .848** .821* .632** .715* -.119 .351* .309* .183 .186 .264 .426** .249

DM stein (g) .730** .618** .649** -.028 .370** .396** .123 .138 .243 .506** .218

DM Root (g) - .572** .580** -.023 .353** .387** .122 .253 .065 .434** .064

Pri. Branch (No) - .629** -.358** .164 .097 .260 .075 .407* .558** .466**

Girth (cm) - -.273* .150 .075 .331* .185 .538** .311* .478**

Pod. Bear. SL (cm) - .540** .405** -.208 .122 -.574** .071 -.564**

Pods (No) .794** -.277* .156 -.373** .238 -.383**

Seeds (No) - -.051 .239 -.435 .264 -.433**

Pod Length (cm) - .424** .294* .102 .351**

Seeds/ Pod (No) - -.003 .247 -.174

50% Mat. (days) - .221 .622**

Height Harvest (cm) - .106

Thousand seed wt (g) -

** Correlation is significant at the 0.01 level

* Correlation is significant at the 0.05 level

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Chemical analysis.

Leaf mineral contents of six pigeonpea genotypes at flowering stage under mixed and

sole cropping systems.

Intercropping pigeonpea with maize resulted in significant (P<0.05) variations in the

nitrogen (N) and calcium (Ca) contents of the pigeonpea leaf taken at flowering stage

(Table 33). Nitrogen content was significantly highest in the leaf of the pigeonpea plants

intercropped with open pollinated maize followed by the leaf of pigeonpea in sole cropping

system which had a significantly higher leaf N content than pigeonpea plants intercropped

with hybrid maize. Calcium content was, however, highest in pigeonpea plants intercropped

with hybrid maize followed by those intercropped with open pollinated maize and least in

sole cropped pigeonpea. No cropping system effect was apparent with respect to the P and K

contents in pigeonpea leaf.

Pigeonpea genotypes differed significantly (P<0.05) in their leaf nitrogen,

phosphorus, potassium and calcium mineral contents. Leaf nitrogen was significantly higher

in ICP 7120 and ICPL 161 compared with the other genotypes. ICPL 85063 had a

significantly higher value compared with ICPL 87119, Nsukka Local and ICPL 87

genotypes which had statistically similar values. Phosphorus and potassium leaf contents

were significantly lower in Nsukka Local genotype compared with the ICRISAT genotypes.

Among the ICRISAT genotypes however, potassium leaf content differed significantly with

a higher value in ICPL 161, followed by ICPL 87 and ICPL 87119 which also had

significantly higher value compared with ICP 7120 and Nsukka Local. Calcium leaf content

was significantly higher in ICPL 87 compared with the other genotypes. This was followed

by ICPL 85063 and Nsukka Local with statistically similar values but significantly higher

than the values for ICPL 87119, ICPL 161 and ICP 7120 which were also statistically

different.

Combining cropping system with pigeonpea genotype showed that irrespective of the

cropping system, ICP 7120 had greater leaf N content than the other genotypes except ICPL

161. Hybrid maize intercropping of pigeonpea depressed leaf N-content in all the pigeonpea

genotypes compared with the situation for open pollinated maize. Open pollinated maize

intercropping with pigeonpea enhanced N-content in ICPL 161, ICP 7120, ICPL 87119 and

Nsukka Local compared with sole cropping. Pigeonpea intercropping with hybrid maize

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depressed K-content in most of the pigeonpeas compared with open pollinated maize and

sole cropping. Maize intercropping of pigeonpea enhanced the Ca leaf content of most of the

pigeonpea genotypes.

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Table 33: Effects of intercropping pigeonpea and maize on the nitrogen (N),

phosphorus (P), potassium (k) and calcium (Ca) leaf contents of pigeonpea at

flowering.

Pigeonpea Cropping system Cropping system

Genotypes P/pe

a

P/pea Sole Mean P/pea P/pea Sole Mean

+

Hm

+

Opm

P/pe

a

+

Hm

+

Opm

P/pea

Nitrogen (N) Phospho

ICPL87 3.20 3.31 3.34 3.27 0.21 2.26 0.22 0.22

ICPL161 3.28 3.73 3.58 3.53 0.21 0.25 0.21 0.22

ICPL85063 3.17 3.42 3.60 3.40 0.24 0.24 0.22 0.24

ICP7120 3.43 3.69 3.56 3.56 0.22 0.20 0.24 0.22

ICPL87119 2.37 3.62 3.06 3.30 0.26 0.18 0.24 0.23

Nsukka Local 3.22 3.60 3.06 3.29 0.15 0.15 0.18 0.16

Mean 3.25 3.56 3.36 3.39 0.22 0.21 0.22 0.22

Potassium (k)

Calcium (Ca)

ICPL87 0.11 0.10 0.10 0.10 0.26 0.28 0.05 0.19

ICPL161 0.12 0.11 0.10 0.11 0.09 0.08 0.06 0.08

ICPL85063 0.08 0.11 0.08 0.09 0.12 0.08 0.17 0.12

ICP7120 0.09 0.10 0.09 0.09 0.07 0.05 0.08 0.06

ICPL87119 0.10 0.10 0.12 0.10 0.15 0.09 0.08 0.10

Nsukka Local 0.07 0.08 0.11 0.08 0.24 0.09 0.05 0.12

Mean 0.09 0.10 0.10 0.09 0.15 0.11 0.08 0.11

N

P

K

Ca

LSD0.05 for 2 crop.sys means 0.067 Ns Ns 0.020

LSD0.05 for 2 p/pea geno. 0.095 0.031 0.009 0.029

LSD0.05 for 2 crop sys. p/pea 0.165 Ns 0.015 0.051

2.9 14.9 9.7 26.1

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Nutrient turnover in the leaves of six pigeonpea genotypes at the flowering stage under

maize intercropping systems.

The nitrogen turnover in pigeonpea leaf was significantly (p<0.05) depressed with

maize intercropping by about 13-19% on the average compared with sole cropped pigeonpea

(Table 34). The nitrogen turnover was least in the pigeonpea that was intercropped with

hybrid maize and followed by that intercropped with open pollinated maize and highest in

sole cropped pigeonpea leaf. ICP 7120 yielded significantly (P<0.05) higher nitrogen

turnover compared with ICPL 85063 and ICPL 87119 genotypes. ICPL 87119 had the least

value compared with those of other genotypes. Phosphorus leaf turnover was significantly

(P<0.05) higher in pigeonpea intercropped with open pollinated maize compared with those

intercropped with hybrid maize and those grown as sole crops. ICP 7120 and ICPL 87 gave

significantly (p<0.05) higher values compared with those of Nsukka Local and ICPL 87119

genotypes. ICPL 85063 and ICPL 161 genotypes followed with statistically similar values

which were also significantly higher than those of Nsukka Local and ICPL 87119

genotypes. Potassium turnover in the pigeonpea leaf was significantly (P<0.05) depressed by

maize intercropping. K- turnover was lowest with hybrid maize intercropped pigeonpea. The

pigeonpea genotypes did not differ in their leaf potassium turnover. Calcium turnover in

pigeonpea leaf was significantly higher in hybrid maize intercropped pigeonpea leaf

compared with those grown as sole crop and least in the leaves of those intercropped with

open pollinated maize. ICPL 87 had a significantly higher calcium turnover compared with

all the other genotypes. ICPL 85063 and Nsukka Local genotypes had statistically similar

values which were significantly higher than those for ICP 7120, ICPL 87119 and ICPL 161

genotypes. Interaction of cropping systems with pigeonpea genotypes did not significantly

affect nitrogen, phosphorus and potassium turnover in pigeonpea leaf. However, calcium

turnover increased with intercropped pigeonpea in ICPL 87 and Nsukka Local genotypes but

decreased with ICPL 87119 and ICP 7120.

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Table 34: Mineral nutrient turnover (kg/ha) in pigeonpea leaf at flowering stage under

intercropping with two maize genotypes.

Pigeonpea Cropping system Cropping system

Genotypes P/pe

a

P/pea Sole Mean P/pea P/pea Sole Mean

+

Hm

+

Opm

P/pe

a

+

Hm

+

Opm

P/pea

Nitrogen (N) Phosph

ICPL87 33.0 38.7 53.6 41.8 2.23 3.28 3.60 3.04

ICPL161 39.9 37.4 44.3 40.6 2.44 2.61 2.65 2.57

ICPL85063 24.4 31.0 51.1 35.5 2.04 2.49 3.20 2.58

ICP7120 37.4 46.2 63.7 49.1 2.45 2.40 4.35 3.07

ICPL87119 24.5 27.3 33.8 28.5 2.03 2.50 2.76 2.10

Nsukka Local 25.6 48.2 52.1 42.0 1.25 2.09 3.23 2.19

Mean 30.8 37.1 49.8 39.6 2.07 2.40 3.30 2.59

Potassium (k)

Calcium (Ca)

ICPL87 1.12 1.17 1.65 1.32 3.07 3.27 0.80 2.38

ICPL161 1.28 1.13 1.23 1.21 1.21 0.74 0.79 0.91

ICPL85063 0.63 0.99 1.21 0.94 1.23 0.44 2.41 1.36

ICP7120 1.02 1.23 1.66 1.30 0.98 0.54 1.43 0.98

ICPL87119 0.75 0.79 1.33 0.96 0.98 0.69 1.23 0.96

Nsukka Local 0.60 1.16 1.84 1.20 1.89 1.20 0.92 1.34

Mean 0.90 1.08 1.49 1.16 1.55 1.15 1.27 1.32

Nitrogen

Phosphor

Potas.

Calc.

LSD0.05 for 2 crop. sys. means 6.85 0.52 0.24 0.18

LSD0.05 for 2 p/pea gen. means 9.69 0.73 Ns 0.26

LSD0.05 for 2 crop. sys. x p/pea Ns Ns Ns 0.45

CV (%) 25.5 29.6 30.9 20.9

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Proximate analysis of the seed of six pigeonpea genotypes

The pigeonpea genotypes were closely related in their seed nutrient contents (Table

35). The ICRISAT genotypes had similar but relatively higher fibre and protein contents

compared with Nsukka Local genotype. Among the ICRISAT genotypes however, ICP 7120

had lower fibre and protein contents. Nsukka Local had relatively higher carbohydrate and

moisture contents compared with the ICRISAT genotypes. ICPL 87119 had the least

moisture and carbohydrate contents and highest ash, fat and fibre contents compared to the

other genotypes. ICPL 161 had low fat, ash and moisture contents compared to the other

genotypes.

All the pigeonpea genotypes were similar in their seed contents of nitrogen (N),

Phosphorus (P), Potassium (K) and Calcium (Ca) (Table 36). However, the Nsukka Local

(Long-duration) genotype had relatively higher content of phosphorus (P) and Potassium (K)

but a lower content of Calcium compared to those of the ICRISAT genotypes. Among the

ICRISAT genotypes, ICPL 85063 and ICPL 87119 had relatively lower contents of P and K

while ICPL 87119 had the least contents of N and K. The ICRISAT genotypes showed little

variation in K content among themselves.

Table 35: Proximate analysis of pigeonpea genotype seeds.

Pigeonpea Genotypes Moisture Ash Fat Fibre Protein Carbohydrate

(%) (%) (%) (%) (%) (%)

ICPL 87 5.3 4.4 2.1 9.3 19.8 59.2

ICPL 161 5.2 3.0 1.9 9.2 19.8 61.1

ICPL 85063 6.1 4.6 2.1 9.7 19.6 58.1

ICP 7120 6.2 3.8 2.7 8.8 18.1 60.5

ICPL 87119 5.1 4.8 2.6 9.9 19.7 58.0

Nsukka Local

Average

Standard deviation

6.9

5.8

0.71

4.2

4.1

0.65

2.1

2.2

0.32

7.9

9.1

0.71

17.9

19.1

0.89

61.2

59.6

1.45

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Table 36: Chemical analysis for nitrogen (N), phosphorus (P), Potassium (K) and

Calcium (Ca) in six pigeonpea genotype seeds.

Pigeonpea Genotypes Nitrogen (N) Phosphorus (P) Potassium (k) Calcium (ca)

% (mg/100g) (mg/100g) (%)

ICPL 87 2.80 29.43 10.15 0.15

ICPL 161 3.08 27.67 10.73 0.11

ICPL 85063 3.08 26.48 10.73 0.11

ICP 7120 3.15 27.67 10.44 0.15

ICPL 87119 2.70 26.93 9.86 0.13

Nsukka Local

Average

Standard dev.

3.01

2.97

0.17

32.61

28.46

2.26

11.59

10.58

0.29

0.09

0.12

0.02

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Experiment 2:

Study of field-to-store insect pest infestation of six pigeonpea seeds and evaluation of

the residual activity of actellic dust on C. maculatus.

Field- to- store insect pests study showed that insects did not emerge in the stored

seed, irrespective of the pigeonpea genotype in six months of storage. The subsequent

introduction of adult Callosobruchus maculatus to seeds where different dosages of actellic

dust (pirimophos–methyl) were earlier applied revealed that oviposition count and insect

mean development days (MDD) of the oviposited eggs of C. maculatus were not

significantly (P<0.05) affected by the residual effect of the actellic dust dosages (Table 37).

The pigeonpea genotypes seeds did not differ significantly in the oviposition counts.

However, the mean development days (MDD) for C. maculatus on the seeds differed

significantly (P<0.05) with pigeonpea genotypes. C. maculatus mean development days was

quickest with ICPL 85063 followed by ICPL 161 while Nsukka Local and ICP 7120 had the

greatest number of days to C. maculatus development. C. maculatus on average took about

32 days to develop. Interaction between actellic dust doses and pigeonpea genotype did not

give significant effect on oviposition count and on the mean development days for deposited

eggs. However, the residual activity of actellic dust slightly depressed oviposition count.

The first filial (F1) generation count of emerged C. maculatus was significantly higher

where no actellic dust was applied compared with where 0.5g or 1.0g of the actellic dust was

applied (Table 38). The pigeonpea genotypes did not differ in their F1 count. Percentage adult

emergence was significantly (P<0.05) higher where no actellic dust was applied and where 0.5g

was applied compared to where 1.0g was applied. On average, 40.8% of the F1 counts taken

developed into adult C. maculatus. Percentage emergence was significantly higher in Nsukka

Local, ICPL 87119 and ICP 7120 compared with ICPL 85063 and ICPL 161 where it was low.

Combining actellic dust doses with pigeonpea genotypes seeds did not give significant effect.

However, F1 count and percentage (%) adult emergence reduced with increase in actellic dust

dosage.

There was a significant (P<0.05) residual activity by 0.5g and 1.0g treatment dosages of

actellic dust on percentage seed damage and total insect mortality count in the pigeonpea

genotype seeds at the end of six months (Table 39). Seed damage was about 64% where actellic

dust was not applied and ranged between 41% and 46% where it was applied. Similarly seed

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weight loss(g) was significantly (P<0.05) lower in 1.0g treatment dosage compared with 0.5g

treatment. The pigeonpea genotypes differed significantly in their seed weight lost. ICPL 87119

had significantly higher seed weight loss compared with ICP 7120 and ICPL 161. Insect

mortality count was significantly higher where no actellic dust was applied compared to where it

was applied. Insect mortality count also differed among the pigeonpea genotype seeds. ICPL

87119 genotype had significantly higher insect mortality count at the end of the experiment

compared with Nsukka Local and ICPL 161 genotypes but with statistically similar values with

ICPL 85063, ICPL 87 and ICP 7120 genotypes. The residual activity of actellic dust dosage

interaction with pigeonpea genotypes seeds for percentage seed damage, seed weight loss (g)

and total insect mortality count did not give significant effect.

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Table 37: Residual activity of actellic dust (pirimiphos-methyl) dosages on the

oviposition and mean development days (MDD) of Callosobruchus maculatus in

pigeonpea

Pigeonpea genotypes Actellic dust dosages (g)

0.0g 0.5g 1.0g Mean

Oviposition Count.

ICPL 87 6.3 5.2 5.1 5.5

ICPL 161 4.9 5.0 4.3 4.7

ICPL 85063 7.1 5.5 5.2 5.9

ICP 7120 6.1 4.3 4.9 5.1

ICPL 87119 6.0 5.8 5.4 5.7

Nsukka Local 5.6 4.6 4.5 4.9

Mean 6.0 5.1 4.9 5.3

Mean Development Days

(MDD)

ICPL 87 31.0 31.6 31.3 31.3

ICPL 161 28.3 28.0 29.0 28.4

ICPL 85063 26.0 26.0 26.3 26.1

ICP 7120 35.0 35.0 35.3 35.1

ICPL 87119 33.0 32.0 33.0 32.6

Nsukka Local 37.0 37.6 36.0 36.8

Mean 31.7 31.7 31.8 31.7

Oviposition

Mean Dev. Days

LSD0.05 for 2 oviposition count means Ns Ns

LSD0.05 for 2 mean dev. days means Ns 1.12

LSD0.05 for 2 doses x p/pea gen. means Ns Ns

CV (%) 27.9 3.7

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Table 38: Residual activity of actellic dust (Pirimophos-methyl) on F1 count and

percentage adult emergence of C. maculatus in pigeonpea.

Pigeonpea Genotypes Actellic dust Dosages (g)

0.0g 0.5g 1.0g Mean

F1 count

ICPL 87 3.5 3.8 2.7 3.3

ICPL 161 3.4 2.6 2.1 2.7

ICPL 85063 4.9 2.9 2.3 3.4

ICP 7120 4.8 3.0 3.3 3.7

ICPL 87119 4.8 4.4 2.7 4.0

Nsukka Local 4.5 3.2 2.7 3.5

Mean 4.3 3.3 2.6 3.4

% Adult emergence

ICPL 87 39.4 47.0 30.4 39.0

ICPL 161 44.6 30.5 28.8 34.6

ICPL 85063 44.1 35.0 29.5 36.2

ICP 7120 49.7 48.4 34.9 44.3

ICPL 87119 54.9 47.9 30.6 44.5

Nsukka Local 54.2 47.2 36.8 46.1

Mean 47.8 42.7 31.9 40.8

F1 Count % Adult Emergence

LSD0.05 for 2 dosages means 0.81 4.83

LSD0.05 for 2 pigeonpea genotype means Ns 6.84

LSD0.05 for 2 doses x genotypes interaction Ns Ns

CV (%) 34.7 17.5

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Table 39: Residual activity of actellic dust (pirimophos-methyl) on percentage seed

damage, seed weight loss and insect mortality count of C. maculatus in pigeonpea

Pigeonpea Actellic dust dosages (g)

Genotypes 0.0g 0.5g 1.0g Mean

Percentage seed damage

ICPL 87 63.9 52.5 58.1 58.2

ICPL 161 56.8 43.8 37.6 46.1

ICPL 85063 72.0 61.0 61.4 65.1

ICP 7120 63.8 32.4 40.7 45.6

ICPL 87119 69.0 58.2 34.5 53.9

Nsukka Local 55.6 43.8 42.6 47.3

Mean 63.5 48.8 45.8 52.7

Seed weight loss (g)

ICPL 87 12.98 11.71 12.72 12.47

ICPL 161 11.42 8.09 9.78 9.76

ICPL 85063 13.67 11.82 12.62 12.70

ICP 7120 12.44 9.15 10.56 10.71

ICPL 87119 14.41 13.25 10.95 12.87

Nsukka Local 10.76 10.85 10.88 10.83

Mean 11.25 12.61 10.81 11.56

Insect mortality count

ICPL 87 15.85 13.63 14.04 14.51

ICPL 161 14.65 9.46 10.38 11.50

ICPL 85063 18.56 16.01 15.02 16.53

ICP 7120 16.10 9.06 12.50 12.55

ICPL 87119 18.96 19.00 12.73 16.90

Nsukka Local 16.62 9.58 10.09 12.10

Mean 16.79 12.79 12.46 14.01

% seed

damage

Seed weight

loss

Mortality

LSD0.05 for 2 dosages means 10.98 1.49 2.52

LSD0.05 for 2 genotype means Ns 2.11 3.56

LSD0.05 doses x genotype interaction Ns Ns Ns

CV (%) 30.8 19.1 26.6

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Experiment 3:

Susceptibilty of pigeonpea genotype seeds to C. maculatus infestation under storage

and evaluation of their seed hardness.

Oviposition was significantly higher on ICP 7120 and ICPL 87119 compared with

the other genotypes but least on Nsukka Local and ICPL 87 (Table 40). Insect development

took the shortest number of days in ICP 7120 and significantly the greatest number of days

in Nsukka Local. F1 count was significantly higher in ICP 7120 and Nsukka Local

compared to the other genotypes except Nsukka local. This was followed by ICPL 87119

with significantly higher F1 count compared with ICPL 85063, ICPL 161 and ICPL 87

which had statistically similar values. Percentage seed damage was 36% on the average and

was greatest in ICPL 87119, ICP 7120 and ICPL 85063 and Nsukka local with statistically

similar values and least in ICPL 87 and ICPL 161.

ICPL 87119 had significantly higher seed weight loss compared to the other

genotypes except ICPL 85063 which had statistically similar value. ICPL 85063 also had

significantly higher value compared with ICPL 161 which had the least value. Percentage

seed weight loss due to the insect pest damage was about 32% on average. There was

however no significant difference among the pigeonpea genotypes in this parameter. Total

insect mortality count was significantly higher in ICPL 87119 compared with ICP 7120,

Nsukka Local, and ICPL 87 which had statistically similar values, while ICPL 161 had the

least and significantly different value compared with all the other pigeonpea genotypes.

Susceptibility index values for the pigeonpea genotype seeds ranged from 1.6 in ICPL 161

to 4.2 in ICPL 7120 which was a significantly higher value compared with all the other

genotypes. It was followed by ICPL 87119 and Nsukka Local which were statistically

similar but with significantly higher values compared with ICPL 85063, ICPL 87 and ICPL

161 pigeonpea genotypes. A careful consideration of both field insect pests infestation

resistance attributes in the pigeonpea genotypes to their seed resistance attributes to storage

insect pests infestation showed that ICPL 161 genotype exhibited more consistent resistance

characteristics compared with the other genotypes. Although Nsukka local genotype had a

low level of field insect pests infestation, the same resistance was not exhibited under

storage condition. Placing the pigeonpea genotype seeds according to their susceptibility

index (SI) values as suggested by Mensah (1986) showed that ICPL 161, ICPL 87 and ICPL

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85063 were in resistant (R) group, where SI values are between 0.0– 2.5; and Nsukka Local,

ICPL 87119 and ICP 7120 were in moderately resistant (MR) group where the SI values fell

between 2.6-5.0. None of the pigeonpea genotypes fell into the susceptible group, of SI

values between 7.6 and 10.0.

There were no significant (P<0.05) difference among the pigeonpea genotypes in

percentage seed germination values at the beginning of the experiment although Nsukka

Local and ICP 7120 had high values of 90%. Germination percentage of the test seeds at the

end of the experiment showed great losses in germination percentage. Nsukka Local had the

highest and significantly different germination value of 43% compared with all the

ICRISAT genotypes. It was followed by ICPL 161, ICPL 87 and ICP 7120 with between 39

– 40% and whose values were significantly higher compared with ICPL 85063 and ICPL

87119 which had between 34% to 35%.

The Pigeonpea genotypes differed significantly (P<0.01) in the physical hardness of

their seeds. ICPL 85063 and Nsukka Local had significantly harder seeds compared with

ICPL 87119, ICPL 161 and ICP 7120 but statistically same with ICPL 87. Nsukka Local had

significantly harder seeds compared with ICPL 87119, ICPL 161 and ICP 7120.

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Table 40: Seed hardness and infestation by C. maculatus under storage for six months

of six pigeonpea genotype seeds.

Pigeonpea

Genotypes

Ovipo-

sition

count

Mean

dev.

days

F1

Insect

count

Percent

seed

damage

(%)

Seed

weight

loss

(g)

Percent

seed wt

loss

(%)

Total

insect

count

Suscept.

Index

(SI)

values

Germination

percentage

(%)

Before After

storage

Seed

hardness

(kgf)

ICPL 87 4.7 31.0 2.0 31.5 7.3 29.6 13.4 1.8 87.2 15.5 39.6

ICPL 161 6.3 32.0 2.1 26.9 5.3 28.1 10.4 1.6 87.2 14.5 40.0

ICPL

85063

6.8 31.3 2.1 39.1 9.7 34.5 15.8 1.9 85.2 17.8 35.2

ICP 7120 8.3 28.3 3.9 39.2 8.0 31.8 14.0 4.2 90.0 13.6 39.2

ICPL

87119

8.0 31.3 3.1 41.4 11.6 38.5 15.9 3.1 83.4 14.7 34.8

Nsukka

Local

5.2 36.0 3.6 35.3 6.3 27.1 14.0 3.0 90.0 17.5 43.0

Mean 6.5

31.6

2.8

35.6

8.0

31.6

13.8 2.6

87.2

15.6

38.6

LSD0.05

CV(%)

1.55

13.3

ns

8.5

0.73

14.4

7.68

12.1

3.36

23.4

ns

14.9

1.24

5.1

0.93

19.9

ns

5.7

2.15

7.7

2.78

4.1

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Experiment 4: Antinutritional Factors Assessment in the seeds of six pigeonpea

genoptype.

The major pigeonpea anti-nutritional factors contained in the seed consisted of

tannin, phytate, trypsin inhibitor and chymortrypsin inhibitor (Table 41). Nsukka Local had

statistically similar contents of tannin with ICPL 87119, ICPL 85063, and ICPL 87 but had

significantly (P<0.05) higher value compared with ICPL 161 and ICP 7120. ICP 7120, ICPL

87119 and Nsukka Local had high and significantly different contents of phytate from each

other. They were followed by ICPL 85063 and ICPL 87 which had significantly higher

values compared with ICPL 161 with the least value. Nsukka Local and ICPL 87 had

significantly higher content of trypsin inhibitor compared with the other genotypes which

differed significantly among themselves. Trypsin inhibitor contents were very low in ICP

7120 and ICPL 161 compared to the other genotypes. The pigeonpea genotype seeds

differed significantly (P<0.05) among themselves in chymortrypsin inhibitor content except

for ICPL 161 and Nsukka Local that had statistically similar and moderate contents. ICPL

87119 had the highest value compared with the other genotypes while ICPL 87 had the

lowest value. Comparatively ICPL 161 was characterized by relatively lower contents of

phytate, trypsin inhibitor and chymortrypsin inhibitor. ICP 7120 and ICPL 87119 had

remarkedly high contents of phytate while trypsin inhibitor and chymortrypsin inhibitor

were low in ICPL 85063 and ICPL 87119.

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Table 41: Tannin, Phytate, Trypsin inhibitor and Chymortrypsin inhibitor seed

contents in six pigeonpea genotypes.

Pigeonpea genotypes Antinutritional Factors

Tannin Phytate Trypsin Chymortrypsin

ICPL87 3.25 2.84 3.41 0.19

ICPL161 3.24 1.55 1.84 1.33

ICPL85063 3.28 3.03 2.48 0.48

ICP7120 3.14 8.71 0.65 1.84

ICPL87119 3.33 5.62 3.17 3.09

Nsukka Local 3.83 3.97 3.46 0.57

Mean 3.50 4.12 2.50 0.50

LSD0.05

CV(%)

0.59

9.5

0.44

6.1

0.17

3.9

0.24

14.9

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CHAPTER FIVE

DISCUSSION

Pigeonpea is usually adaptable, flourishing across broad ranges of environment

(Versteeg and Koudokpon, 1993, Degrande, 2001). Maize can grow across a broad range of

agroecological zones (IITA, 2007). Improvement in the production systems of these crops

could have a wide range of adaptability. The high rainfall in the months of July to October

and the minimum and maximum temperature ranges from 20.3 – 21.5oC and 27.4 – 30.1

oC

in this study were within the requirements for both the maize and pigeonpea crops as

reported by Purseglove (1972) and van der Maesen (1989). The drop in rainfall and relative

humidity in the months of November and December coincided with flowering and maturity

periods for pigeonpea and was good for the pod harvest. The slightly acidic sandy clay loam

nature of the soil was within the tolerable limits for both the maize (IITA, 2007) and

pigeonpea crops (Bogdan, 1977, and van der Maesen 1989). The soil has been classified as

an ultisol (Asiegbu, 1989).

Experiment 1: Assessment of six pigeonpea genotypes under late maize intercropping

production system with two maize genotypes.

Both pigeonpea and maize crops were planted at the same time on freshly prepared

ridgesin this study. The non significant effect of cropping system on days to seedling

emergence was therefore expected since the crops were not yet established to create any

system effects. It is competition for scarce resources among crops that result in their

differential responses. The long days to anthesis (128 days) and pod maturity (208 days) in

Nsukka Local pigeonpea seem to suggest a short day response attribute compared with the

day neutral ICRISAT short- and medium-duration genotypes. The pigeonpea genotypes

matured according to their duration types as van der Maesen (1980) reported maturity days

of 105-145 days for short-duration genotypes, 146-199 days for medium-duration genotypes

and above 200 days for long-duration genotypes. Although there was no day response to

maturity in maize, the shorter days to tasselling and maturity in hybrid maize compared with

the open pollinated maize was attributed to the uniform growth feature expected of a hybrid

genotype.

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The non significant influence of cropping system on the height of the pigeonpea

plants in this study was expected as the maize intercropping could not have influenced the

environment enough to surpress the growth of the pigeonpea crop. Smith et al., (2001)

reported that plant height is a genetic character in crop plants that could not be affected

easily by environmental factors. The taller plants in Nsukka Local genotype was however

attributed to the characteristic tall plant attributes of the Local pigeonpea genotypes as

reported by Kimani (2000) and Snapp et al., (2003). The improvement in pigeonpea is both

for high yield and agronomic characters which could involve reduction in plant height. The

lower plant height in the ICRISAT pigeonpea genotypes was an exhibition of their genetic

attributes.

The similarity in height among the maize genotypes at the early growth stages (4 and

6 WAP) and at tasselling and maturity stages under intercrop and sole crop conditions was

attributed to the non effect of the pigeonpea counterpart on the maize crop under

intercropped situations. This agreed with report by Egbe and Adeyemo (2006) that

intercropping maize with pigeonpea in Benue State, Nigeria resulted in near or equally tall

plants for maize in both sole and intercrop systems. The slow growth in pigeonpea at the

early vegetative stage too was such that it could not have affected the height in the maize

crop. The significant reduction in the number of primary branches, number of leaves, pod

bearing stem length (pod distribution) and plant girth in pigeonpea due to maize

intercropping was attributed to the domineering effect of maize in the intercropping system

over the slow establishing pigeonpea in their early vegetative stage and it agreed with report

by Snapp et al; (2003). The fast development in the maize crop should have led to fast leaf

development and expansion culminating in shading the pigeonpea crop thereby affecting

these parameters. Similarly, Akinola and Whiteman (1975) reported that the number of fruit-

bearing branches and the length of the stem over which inflorescences are produced are

affected by crop density and climatic factors. Therefore the higher plant density under the

pigeonpea/maize mixtures reduced the number of fruit-bearing branches and length of the

stem over which inflorescences are produced in the intercropped pigeonpea plants compared

with their sole cropped counterparts. The greater effect of hybrid maize compared with open

pollinated maize on these parameters on intercropped pigeonpea plants implied its greater

competitiveness over open pollinated maize in the intercropping system. The uniform

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growth and upright leaf orientation characteristics of the hybrid maize could have aided in

shading the pigeonpea thereby creating greater intercropping effect compared with open

pollinated maize. The higher number of leaves and pod distribution length (pod bearing

stem length) in the ICRISAT pigeonpea genotypes under both intercrop and sole crop

conditions over the Nsukka Local genotype could have been the agronomic and yield

attributes achieved in their improvement at ICRISAT.

Dry matter distribution in the Pigeonpea and maize plant factions.

The high depression of between 23–37% in dry matter fraction weights of

intercropped pigeonpea unlike in intercropped maize which had comparable fraction weights

with sole maize crops was indicative of the advantaged position of maize in the

intercropping system. The fast development in maize and its shorter duration compared to

pigeonpea placed the maize crop in an advantaged position in competing for scarce

resources with the pigeonpea. It consequently had greater shading effect on the pigeonpea t

hereby depressing its dry matter fraction yield. The slow growth of the pigeonpea at the

early growth stages (Snapp et al., 2003) resulted in less competitive effect of the pigeonpea

on the maize counterpart resulting in non significant reduction in intercropped maize dry

matter fraction yields compared with its sole maize counterpart in this study. Lingaraju et al;

(2008) reported similar findings in a maize/pigeonpea intercropping study in Karnataka,

India.

The greater depressing effect of hybrid maize compared with open pollinated maize

on the dry matter fractions of pigeonpea butresses the hybrid maize′s greater intercropping

effect on the pigeonpea. The differences among the pigeonpea genotypes in dry matter

fractions of leaf, stem and root was attributed to their genotypic and duration differences

since the pigeonpea genotypes comprised of short-, medium- and long-duration types.

Ibeawchi et al., (2005) reported variation among soybean varieties in dry matter

accumulation and attributed it to genotypic differences

Field Insect pests incidence in pigeonpea as affected by maize intercropping

The sporadic and low level field insect pest damage on the pigeonpea plants by

variegated grasshopper (Zonocerus variegates), crickets (Brachytrupes membranaceus) and

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termites(Odontotemes badius) at the early vegetative stage was attributed to the low

population of these pests in the experimental site. Mitchell (2002) reported that seedlings in

the nurseries and newly planted trees are particularly susceptible to attack by termites.

Although the damage incidences by these insect pests were quite low in this study, the

damage on affected plants were however obvious such that where the population of these

insect pests are high, the level of damage could be significant requiring some level of

control. According to Mitchell (2002), termites attack a wide range of crops at all stages of

growth cycle and reported that crop losses at between 3 -100% had been recorded. The high

population of white flies (Bemisia Spp) on pigeonpea plants at the mid vegetative stage

without observed damage to crop plants was attributed to the non incidences of viral

diseases in the pigeonpea plants for which the whiteflies are known to be vectors. The

observed high populations of pod fly (Melanogromyza Spp), Blister beetles (Mylabris Spp),

pod sucking buds (Clarigralla Spp.) and pod borer (Helicoverpa armigera) at the

reproductive stage of pigeonpea in this study confirms earlier report by Snapp et al; (2003).

Kooner and Cheema (2006) also reported that the pigeonpea is attacked by several insect

pests from seedling stage till harvesting.

The slightly lower reproductive stage pests incidences on intercropped pigeonpea at

both flowering and podding stages compared with sole cropped pigeonpea confirms earlier

reports by Trenbath (1993) and Davis and Wolley (1993) that intercropping tends to reduce

the incidence and spread of diseases and pests. The slight difference in pest incidence

among the pigeonpea genotypes with ICPL 161 genotype having the least number of pests at

the flowering stage was suggestive of differences among the pigeonpea genotypes.

Similarly, the significant difference among the pigeonpea genotypes with Nsukka Local

genotype having the least number of insect pests at the podding stage further buttresses the

inffered differential resistance to insect pests among the pigeonpea genotypes. The least

number of insect pests on Nsukka Local at the podding stage could as well be attributed to

its being out of phase with the ICRISAT genotypes as it fruited much later when the

temperatures and relative humidity were lower. Lower temperatures and relative humidity

are always associated with lower pests and diseases situations. Mergeai et al; (2001)

reported higher pests incidence on improved varieties than on local cultivers in Kenya such

that the higher pests population on some of the ICRISAT genotypes could be attributed to

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genotypic characteristics. The difference among the ICRISAT genotypes still buttresses the

fact that there was genetypic difference in resistance to field insect pests among them.

The high number of damage to Pigeonpea pods and seeds in this study was attributed

to the presence of pod sucking bugs (Clavigralla spp) and pod borers (Helicoverpa

armigera) at the reproductive stage of the crop. Flower and pod field pests are a common

phenomenon among pulse crops. Shonawer and Romeis (1999) reported that insect pests

feeding on flowers, pods and seeds are the most important biotic constraints affecting

pigeonpea yields. The significant reduction in the number of insect pests damaged pods and

seeds due to maize intercropping of pigeonpea followed after the reduction in the number of

insect pests under the intercropping systems in this study. This is a pointer to the advantage

of intercropping system over sole cropping. The lower number of damaged pods and seeds

under hybrid maize intercropping was attributed to its greater intercropping effect compared

with open pollinated maize. Their shading of the pigeonpea plants could have prevented

access of the pigeonpea plants to insect pests. The lower damaged pods and seeds in

Nsukka local was attributed to its late fruiting compared to those of the ICRISAT genotypes

and possible inherent resistance attribute. The result in this study agreed with that by Smith

et al., (2001) where significant difference was obtained among pigeonpea cultivars in seed

and pod damage by insect pests.

Yield parameters as affected by maize intercropping in pigeonpea

The reduction in the number of pods per plant by 32-34% and in number of seeds per

plant by 24-35% in intercropped pigeonpea compared with sole cropped pigeonpea followed

after the reduction in dry matter fractions which were attributed to the intercropping effect

of maize on the pigeonpea. The maize crop was advantaged in the intercropping system

through its fast growth and early maturity compared to the pigeonpea which fruited after the

maize harvest. The maize crop could have exploited both the soil resources better than the

pigeonpea and equally utilized the air and sunlight at the detriment of the pigeonpea under

intercropped situation. Sheldrake et al., (1979) reported that shading reduced the number of

fruits per plant in pigeonpea. The maize crop in the intercropping system in this study could

have shaded the pigeonpea crop at their active vegetative growth stages leading to the

reduction in the number of pods plant-1

. The lower number of both pods plant-1

and number

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of seeds plant-1

under hybrid maize intercropped pigeonpea compared with open pollinated

maize intercropped pigeonpea corroborates the greater intercropping effect of the hybrid

maize compared with open pollinated maize earlier reported in this study. The lower

number of pods per plant and seeds per plant in the Nsukka local genotype compared to

those of the ICRISAT genotypes was attributed to the poor yielding attribute typical of local

pigeonpea genotypes as reported by Obuo, et al., (1996). The low number of seeds plant-1

in

the Nsukka Local genotype could be attributed to its genotypic characteristic as it was a

large seeded genotype compared to the ICRISAT genotypes. However, the differences

among the ICRISAT genotypes in the number of pods and seeds could be suggestive of

differential yield attributes among them.

The non significant effect of maize intercropping on pod length and number of seeds

per pod in the pigeonpea in this study agreed with the findings of Sheldrake et al., (1979)

who reported that artificial shading of pigeonpea had little effect on the number of seeds

fruit-1

. The differences in the pod length and number of seeds per pod among the pigeonpea

genotypes were attributed to genotypic diferences.

Pigeonpea grain yield.

The 40% and 32% depression in Pigeonpea grain yield due to maize intercropping in

2005 and 2006 respectively were attributed to the dorminant effect of the maize crop in the

intercropping system. This was similar to the reduction in dry matter fractions of leaves,

stems and roots obtained in this study agreeing with report by Lingaraju et al., (2008). This

was also of the same pattern with the reduction in the number of pods plant-1

and number of

seeds plant-1

in this study. The greater depression in grain yield under hybrid maize

intercropping further buttresses the greater competitive effect of hybrid maize compared

with open pollinated maize on the pigeonpea as earlier pointed out in this study. The lower

grain yield in Nsukka local genotype compared with the ICRISAT genotypes was attributed

to the low yielding attribute typical of the local pigeonpea genotypes commonly used by

traditional farmers. The lower number of pods plant-1

and seeds plant-1

in Nsukka Local

compared to the ICRISAT genotypes in this study are also attributes of low yield. Obuo et

al., (1996) reported that pigeonpea land races give yields on farmers fields of 300 – 600

kg/ha compared to over 2.5 t/ha achievable on-station with new high yielding cultivars.

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The high yields in the ICRISAT genotypes are attributed to their high yielding attributes for

which they were bred for as reported by Upadhyaya et al., (2006). The ICRISAT genotypes

also had higher number of primary branches and pod bearing stem length which would

obviously contribute to their having higher yields compared with Nsukka Local genotype

where the numbers were low. The highest yield obtained in ICPL 87 (Short-duration)

genotype under both intercrop and sole crop conditions in 2005 compared to the other

genotypes agreed with similar higher yield compared to others obtained by Reed (1987)

when he evaluated some short-duration pigeonpea cultivars in intercropping systems with

maize in Eastern and Central Africa. Similarly, Maingu and Mligo (1991) reported best

performers lines as ICPL 87 and ICPL IL6 under different production systems in Tanzania.

The variation in grain yield among the pigeonpea genotypes was attributed to genotypic

differences. The differences in yield among the pigeonpea genotypes was not unexpected

considering the variation in genotypes among the pigeonpea genotypes where ICPL 87 and

ICPL 161 were of short-duration types, ICPL 85063, ICP 7120 and ICPL 87119 were of

medium-duration types and Nsukka Local being of long-duration type. It is expected that

they would differ in their interaction with the maize genotype under intercropped condition

and with the environment too resulting in different yields.

The non significant effect of maize intercropping on 1000 seed weight and threshing

percentage in the pigeonpea in this study were attributed to being inherent genetypic

attributes as rightly observed by Sheldrake et al., (1979) that mean seed weight are

characterisitic of a genotype and influenced relatively little by environmental conditions.

The higher 1000 seed weight in Nsukka local genotype compared with the ICRISAT

genotypes was attributed to its large seeded feature.

The comparative fetures, yield and yield attributes of Nsukka Local long-duration

genotype with the day neutral short- and medium-duration pigeonpea genotypes could be

tabulated as shown below.

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Agronomic and yield attributes of ICRISAT short- and medium-duration pigeonpea

genotypes compared with Nsukka long-duration pigeonpea genotype.

ICRISAT Genotypes Nsukka Local Genotype

Shorter days to anthesis and maturity

(day neutral)

Longer days to anthesis and maturity

(short day).

Fewer but longer primary branches Large number but shorter primary

branches

High number of leaves at anthesis Low number of leaves at anthesis

Higher Pod bearing (pod distribution)

stem length

Shorter (less than half) pod bearing (Pod

distribution) stem length.

Higher number of pods and seeds per

plant

Lower number of pods and seeds per

plant

Higher grain yield (kg/ha). Lower grain yield (kg/ha)

The shorter days to anthesis and maturity in the ICRISAT genotypes were due to

their photoperiod insensitivity. This attribute could effectively be used in intercropping

systems to time of planting such that high competition between the crops in mixtures could

be avoided to give greater intercropping advantage. This could be also be used in double or

multiple cropping systems as reported by Chauchan et al; (1993); and Troedson et al; (1990)

to enhance crop production per unit land.

The fewer but longer primary branches in the ICRISAT genotypes could be a

mechanism to effectively reach out for sunlight for photosynthesis and under intercropping

system, it could be an advantage leading to greater productivity. This might have stimulated

greater leaf development and hence the higher number of leaves at anthesis in the ICRISAT

genotypes compared to Nsukka local pigeonpea genotype.

The longer pod bearing (pod distribution) stem length in the ICRISAT genotypes is

an attribute for high yield (Akinola and Whiteman 1975) and could be responsible for their

higher number of pods and seeds per plant and consequently higher grain yield obtained in

this study. The advantageous yield and yield attributes of the ICRISAT genotypes makes

them more suitable for adoption under different intercropping systems that could be

exploited for greater yields and profitable farming by traditional farmers.

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Maize grain yield.

The 14.5% and 22.3% yield reduction in maize grain yield in 2005 and 2006

respectively due to pigeonpea intercropping implied that pigeonpea did not affect maize as

much as the effect of maize on the pigeonpea where grain yield reduction was by 40% in

2005 and 32% in 2006 in the intercropped system. This agreed with earlier report by Egbe

and Adeyemo (2006). The higher effect of maize on the pigeonpea in the intercropped

system was attributed to the fast growth in maize which made it to dominate the slow

growing pigeonpea in their early vegetative stage. The fast growth in maize was such that it

matured before the pigeonpea attained anthesis. This low reduction in maize grain yield

under intercropped system compared to sole maize system was highly responsible for the

high productivity of pigeonpea/maize intercropping system considering the additional yield

from the pigeonpea crop. This was evident in the greater than one land equivalent ratio

values (LER >1.0) obtained in the intercropped systems in this study. The less dependence

of the pigeonpea crop on the soil Nitrogen (N) as a legume gave the maize crop the leverage

to utilize this limited nutrient to enhance its productivity in the intercropping system. The

higher hybrid maize yield compared with open pollinated maize was attributed to the hybrid

vigour in the hybrid maize.

The non significant effect of pigeonpea intercropping on maize shelling percentage

was attributed to its being a gene controlled attribute not easily influenced by environmental

conditions. The dominance of maize in the intercropping system could also had been

responsible.

Land Equivalent Ratio (LER).

The greater than 1.0 land equivalent ratio values (LER>1.0) obtained in each of the

pigeonpea/maize mixtures implied intercropping advantage of all the crop combinations in

the pigeonpea/maize mixtures. Similar greater than 1.0 LER values have been reported in

maize/Pigeonpea mixtures by Tom (1995) in a maize/pigeonpea intercropping systems in

Nsukka, Nigeria, and by Lingaraju (2008) in pigeonpea/maize intercropping systems in

Karnataka, India. Similarly, Rao and Willey (1980a) obtained LER values greater than one

in millet/pigeonpea mixtures in India. An LER value greater than one (LER > 1.0) indicates

greater returns on land in terms of total yield (Mead and Willey 1980). Hall (1995) posits

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that due to the nitrogen fixing ability in legumes, growing with non-legumes would give

land equivalent ratio (LER) well in excess of 1.0 because the two species would be

obtaining their supplies of the major limiting nutrient nitrogen from different sources. This

is an advantage that is exploited in cereal/legume intercropping. Willey (1979) reported that

the main reason for higher yields in intercropping is that component crops are able to use

growth resources than grown separately.

The superior LER values of 1.54 in 2005 and 1.64 in 2006 in ICPL 87 pigeonpea

genotype mixture with hybrid maize and 1.64 and 1.66 in 2006 by ICPL 7120 mixture with

open pollinated maize are indications of their compatibility for high returns in the

intercropping systems. The advantage in land productivity offered by this pigeonpea/maize

intercropping systems could best be exploited under the increasing reduction in land

availability for agricultural production and the increase in human population.

Cost and Revenue analysis in the pigeonpea/maize mixtures.

Crops have their management requirents for optimum output with their cost

implications. The combined cost of managing two crops in the intercropping system

compared to managing one crop only in the sole cropping system made the cost of

production in the intercrop system to be higher in this study. The higher cost of hybrid

maize seeds compared with its open pollinated maize counterpart made the cost of

production higher in the hybrid maize systems compared with those of the open pollinated

maize. Similarly, the higher cost of ICRISAT pigeonpea seeds and its initial high

transportation cost from Kano/Zaria in 2005 made their intercrop and sole crop production

costs to be higher than those of Nsukka Local pigeonpea where the seed was obtained

locally within Nsukka. The higher cost of sole production in pigeonpea system compared to

that in maize system was due to the higher cost of seed transportation of the pigeonpea in

2005, the higher cost of planting in pigeonpea compared to that in maize, the cost of

insecticide and its spraying in pigeonpea which is not applicable in maize and the higher

cost of threshing in pigeonpea compared to that in maize. The slight differences in the cost

of production in 2005 and 2006 were due to the higher cost of transporting ICRISAT

pigeonpea genotype seeds in 2005 and the higher cost of fertilizer and its transportation in

2006 only.

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The cost – benefit analysis estimated and added up the equivalent money value of the

benefit and costs to the production of the crops in the production systems in this study.to

establish their worthiness. The higher revenue in the intercropping systems over the sole

cropping systems in this study was attributed to the several advantages in the use of time,

space, labour and yields from two crops on the same piece of land within a cropping season.

The land was under production for a longer period because when the early maturing crop

(maize) was harvested, the later maturing crop (pigeonpea) in the intercropping system

continued to grow further utilizing both the soil and edaphic resources until its harvest. The

labour for most operations in the intercropping system such as land preparation and weed

control measures among others served the two crops at the same time thereby distributing

the cost among the two crops and saved time. Although greater time was saved in the sole

cropping of the maize crop in this study, such time was not a productive one in the benefit

analysis. The combined yields from the two crops in the intercropping system were in most

cases greater than those from their counterparts sole cropping system yields. This was

evident in the greater than one land equivalent ratio values (LER >1.0) recorded in the

intercropping systems. This translated into greater revenue coming from the intercropping

systems compared with sole cropping sytem of the crops

The greater revenue accruing from the maize crop compared with pigeonpea crop in

both intercrop and sole crop systems in this study despite the higher unit price of N55/kg in

pigeonpea compared with the N45/kg in maize was due to greater yield (output) (kg/ha)

obtained in maize compared with pigeonpea under both intercrop and sole crop systems.

Velayutham et al; (2003) reported that growing pigeonpea as a pure crop is not

economically viable due to its low productivity and longer duration. Snapp et al (2003)

reported a marginal returns of >450% in pigeonpea/corn intercrops compared with

monoculture corn. The higher revenue and profit obtained from ICRISAT pigeonpea

genotypes as sole crops and in intercrops compared with Nsukka local genotype were

attributed to their higher yields under both intercrop and sole crop systems.

The greater than 2.0 Benefit/cost ratio and above 50% gross margin (%) obtained

under all the ICRISAT pigeonpea/maize mixtures further buttresses their higher

performances in the intercropping system compared with Nsukka local genotype. This was

attributed to their high yields compared to Nsukka Local genotype. Lingaraju et al (2008)

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reported that intercropping of legumes with cereals is a recognized practice for increasing

the productivity and profitability per unit area and time. The only loss incurred in this study

was in Nsukka local genotype sole crop system which had a benefit/cost ratio of 0.76 and a

grosss margin of -18%. This was attributed to its low yield. However under its interdropping

system with the maize genotypes, losses were not recorded. This was attributed to the

complimentary yields from the maize crop in the intercropping systems. This informs that

for a profitable production with the Nsukka Local genotype, it should be intercropped with

high yielding compartible crops like maize. However, for a productive production under

either sole or intercrop systems, the Nsukka Local genotype needs to be replaced with high

yielding genotypes such as the ICRISAT pigeonpea genotypes as revealed by this study.

Pigeonpea ratoon crop performance.

Snapp et al; (2003) reported that a ratoon system is used in some areas whereby after

harvest, the pigeonpea stems are cut back to facilitate re-growth and a second crop is

harvested in the subsequent seasons. Since the pigeonpea genotypes in this study were of

different duration types and grown under different systems, the survival of the ratoon crops

would differ. The higher percentage plant survival in the pigeonpea ratoon crops previously

intercropped with hybrid maize compared to those that were grown as sole crops suggests

that some intercropping situations could enhance ratoon crops survival. Where the effect of

intercropping was relatively higher on the ratoon crops as was the case with hybrid maize,

intercropping on pigeonpea compared with open pollinated maize in this study, it led to

greater pigeonpea ratoon crop losses. The high variability in ratoon crops percentage plant

survival among the pigeonpea genotypes was attributed to differential duration types of

short-, medium-, and long-duration genotypes used in this study. The high level of plant

survival in Nsukka local genotype was attributed to its long-duration type maturing late into

the dry season with little time left to the next cropping season. This enhanced its chances to

survive into the next cropping season compared with the short- and medium-duration

genotypes which matured early with longer periods to the next cropping season such that if

it were not for the perenniality of the crop, they could have dried up before the next

cropping season.. Wallis et al; (1987) reported that the perenniality of pigeonpea allows the

possibility of ratoon crops. The low percentage plant survival in ICP 7120, ICPL 87119

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(medium-duration) and ICPL 161 (short-duration) compared with lower percentage plant

losses in ICPL 87 (short-duration) and ICPL 85063 (medium-duration) of the ICRISAT

genotypes implied that there was no marked difference between the short-duration and

medium-duration genotypes in ratoon crops survival under the humid tropical condition of

this study.

The lower number of pods per plant and seeds per plant in previously intercropped

pigeonpea ratoon crops was attributed to intercropping effect. The greater effect in ratoon

crops previously intercropped with hybrid maize further reflected the greater negative effect

of hybrid maize on pigeonpea plants in the intercropping system compared with open

pollinated maize. The low number of pods per plant and seeds per plant in Nsukka

pigeonpea genotype compared with those of the ICRISAT genotypes was attributed to its

poor yielding characteristics. The variability in pod length among the pigeonpea genotypes

was attributed to genotypic effect.

The slightly lower number of percentage damaged seeds and pods in Nsukka local

genotype compared with the ICRISAT genotypes was attributed to genotypic difference

since it was from the local environment and likely to be more adaptive to the environment

than the ICRISAT genotypes.

The slightly higher yields of about 10.2% to 13% in sole cropped pigeonpea ratoon

crops compared with those that had been intercropped with the two maize genotypes implied

intercropping effect on the ratoon crops. The slightly higher grain yield in the ICRISAT

medium-duration genotypes (ICPL 85063, ICP 7120 and ICPL 87119) compared with their

short-duration genotypes (ICPL 87 and ICPL 161) counterparts implied greater ratoon

productivity. The lowest yield in Nsukka local genotypes was attributed to its poor yielding

characteristics as exhibited by the regular crop in this study. Cheema et al; (1996) reported

differences in total ratoon yields among some short-duration pigeonpea genotypes. The lack

of influence of the previous cropping system on threshing percentage followed similar

pattern with that under regular production implying that cropping system did not have any

significant effect on this parameter in pigeonpea. The slightly higher threshing percentage

of the medium-duration genotypes compared with short-duration genotypes among the

ICRISAT genotypes implied genotypic differences among duration types. The low

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threshing percentage of Nsukka local genotype was attributed to being its genotypic poor

quality.

Correlation matrix.

The very high positive correlation between grain yield in pigeonpea and its number

of leaves, number of primary branches, number of pods, number of seeds and dry matter

weight of leaves, stems and root fractions per plant portrayed their high contribution to grain

yield in the crop. The high contribution of leaves to grain yield is obvious being the main

photosynthetic organ for the manufacture of stored products in plants. The higher the

number of primary branches, the better the positioning of the plant′s leaves for the capture of

photosynthetic radiation thus its high positive correlation with grain yield. It is an important

yield attribute in crops particularly when grown under very competitive situation like in

intercropping systems. The number of pods and number of seeds directly relate to grain

yield thus their high positive correlation with grain yield. Vange and Egbe (2009) also

reported a significant positive correlation between grain yield and dry pod weiht in

pigeonpea. Dry matter weight of leaf, stem and root fractions would obviously relate

positively to grain yield as they determine plant size.

The high positive correlation of number of seeds in pigeonpea to grain yield, number

of pods, number of leaves and dry matter fraction weights of leaves, stems and roots

corroborates the importance of these attributes to seed grain yield in the crop. Smith et al;

(2001) reported a positive correlation between pigeonpea absolute yields with the number of

pods (P<0.01) and number of seeds (non significant) and Singh et al; (1995) reported that in

any selection scheme to increase yield levels in pigeonpea, maximum weight should be

given to two traits, pods per plant and number of primary branches. The high positive

correlation of the grain yield in pigeonpea to pod bearing stem length, number of seeds per

pod and plant girth show their relevance to the final yield of the crop.It is obvious that the

length the pod bearing stem, the greater the chances to have many pods which will

ultimately result in high yield. Similarly, the greater the plant girth, the higher the plant size

which will also contribute to crop yield. It is reported that in most situations, economic yield

is determined largely by fruit number per plant, which is related to plant size and duration of

the crop (Whiteman et al., 1985). Pod length, 1000 seed weight and plant height contributed

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only little to the grain yield in the crop in view of their low positive correlation with grain

yield. The high negative correlation between grain yield and number of days to attainment

of anthesis and maturity signified their non contribution to grain yield in pigeonpea and this

agreed with report by Vange and Egbe (2009).

The negative correlation of the number of days to attainment of maturity in

pigeonpea to grain yield agreed with earlier reports by Vange and Egbe (2009) and, Thanki

and Sawargaonker (2010). Crops of shorter duration are more desirable for greater utility of

time and space in agriculture such that longer days to attainment of anthesis and maturity

would not correlate positively with grain yield.

Effects of maize intercropping on N, P, K and Ca leaf contents of six pigeonpea

genotypes.

The high nitrogen content of the pigeonpea leaves in this study agreed with the

findings of Rao et al., (2002). This was characteristic of leguminous crop plants due to their

nitrogen fixing ability through symbiotic association with the Rhizobium spp. This makes

pulse crops suitable as bruise plants for feeding livestock and for reploughing into the soil to

improve soil fertility. The lowest nitrogen, and potassium contents of pigeonpea leaves

intercropped with hybrid maize was attributed to greater competition from hybrid maize

affecting the pigeonpea negatively in this study. Egbe et al; (2007) reported that

intercropping lowered the total nitrogen yield of most pigeonpea compared to sole cropping

in a pigeonpea/maize intercropping system. Katayama et al; (1996) observed at final

harvest that sole pigeonpea accumulated more N than intercropped pigeonpea, though the

differences were often not statistically significant. This was attributed to shading and

competition for N in intercropped pigeonpea.

The Phosphorus content was similar to that reported by Snapp et al; (2003) in

pigeonpea residues surveyed in Malawi. The potassium contents in this study were within

the requirement range of 0.01-1.0% recommended for ruminants by McDowell (1992). The

high calcium leaf contents in intercropped pigeonpeas was attributed to maize intercropping

effect on its absorption. The difference in nitrogen, phosphorus, potassium and calcium

mineral contents of the pigeonpea leaves was attributed to genotypic differences. Evenhuis

and de-waard (1980) reported that the main factor controlling the mineral content of plant

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material is the specific genetically fixed nutrient uptake potential for the different mineral

nutrient. The second factor controlling the mineral content of plant material is availability

of plant nutrients in the nutrient medium.

Nutrient turn over in Pigeonpea leaves.

The higher nitrogen turn over in sole cropped pigeonpea was attributed to lack of

competition from maize which is obtainable in intercrops. A 3 years study at 40 farm sides

in Malawi found pigeonpea residues providing 30 – 70kg/ha N and were particularly suited

to the resource base of small holders (Kanyama – Phiri et al; (1998). Snapp et al., (1998)

reported that N contribution from leaf abscission over the growing season has been

estimated to be 10 – 40 kgNha-1

. They reported tha high quality residues of perennial

legumes were most effective at supplying N in farmers farms. Ladd (1990) reported that on

farm trials have shown that pigeonpea can produce over 2 tha-1

of high quality residues

without any fertilizer input on degraded soils. Pigeonpea has roots that penetrate deep into

the soil which in most cases remain in the soil and along with the leaves and some stems that

drop on the siol form the residue that would decompse in the soil. This makes the

contribution of soil organic matter of pigeonpea to be high and thus significant for

sustainable agricultural production.

Trumbore (1997) reported that the ultimate source of organic matter in soils is Co2

fixed by plants, including leaf litter, roots, and root exudates. The high phosphorus turn over

in open pollinated maize intercropped pigeonpea leaves was attributed to greater

compatibility between the mixtures creating a conducive environment for the microbial

activity leading to greater phosphorus turn over. Trumbore (1997) reported that the activity

of soil fauna (especially fungi and microbial communities) metabolizes some of these

substrates. The differences among the pigeonpea genotypes in their Nitrogen and calcium

leaf nutrient turn over were attributed to genotypic differences. The higher turn over of

calcium in pigeonpea leaves where intercropping was high was attributed to reduce leaching

of the nutrient due to greater leaf cover thereby making the nutrient more available for

absorption thus available in the pigeonpea leaves. The turnover of nutrients into the soil

through the decomposition of plant residues is important as it determines the balance of

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nutrients that need to be added through fertilizers as a proportion of nutrients lost to

harvested portions of crops which are normally taken out ofbthe fields.

Proximate analysis of six pigeonpea genotype seeds.

The carbohydrate content of between 58% - 61.2% in the pigeonpea genotype seeds

in this study was similar to that repor ted by Singha (1977). Borget (1992) also reported a

figure of 60-66% carbohydrate. The relatively high carbohydrate content is important as

energy source, besides its crucial importance as a protein source ( ). According to Alli-Smith

(2009) carbohydrate content in food is necessary in the digestion and assimilation of other

foods. The 17.9% protein in Nsukka Local compared with the 19.8% in ICPL 87 and ICPL

161 agreed with report by Mergeai et al., (2001) grains are rich in protein (17 – 28%), while

Borget (1992) also reported figures of between 15-29% protein. Nsukka Local was therefore

shown to have lower protein than the ICRISAT genotypes. Protein plays a vital role in

human and livestock nutrition. It can contribute to the formation of hormones which controls

a variety of body functions such as growth, repair and maintenance of body tissue (Mau et

al., 1999). The moisture, ash, fibre and fat contents of the pigeonpea genotypes were similar

to those in guar gum seeds as reported by Majed et al., (2006) and considered adequate for

livestock feed formulation. The low fibre content in the pigeonpea genotypes seeds makes

them suitable for both human and livestock nutrition. Hassan et al., (2007) reported that low

fibre content of feeds could stimulate increased feed intake as well as enhance the quality

and digestibility of the feed.The mineral and fat contents of the pigeonpea genotypes give an

idea of their contents in the respective pigeonpea genotypes.The fat content can be used for

storage and transport form of metabolic fuel (Alli-Smith 2009). The slightly higher fibre (%)

and protein (%) contents of the ICRISAT pigeonpea genotypes compared with the Nsukka

local genotypes was attributed to their genotypic improvement over the Nsukka local

genotype which had slightly higher carbohydrate and moisture contents.

Chemical Analysis of Nitrogen (N), Phosphorus (P), Potassium (K) and calcium (Ca)

contents in pigeonpea seeds.

The Nitrogen content of the pigeonpea genotype seeds were high as similarly

observed in the leaves. This was typical of pulse crops due to their Nitrogen fixing ability

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through their symbiotic association with the bacteria of the genus Rhizobium (Hall, 1995).

The high contents of P, K and Ca were attributed to their being macronutrients usually

absorped in large quantities from the soil by crop plants. Their high contents in the

pigeonpea genotype seeds make the seeds valuable for human and livestock nutrition as they

are required in large quantities for proper growth and good health. According to Ekanayoke

and Nair (1993), the deficiency of minerals such as potassium, phosphorus, sodium, calcium

and magnesium also influences the capacity of the body to utilze amino acids and proteins.

The relatively higher phosphorus (P) and Potessium (K) contents in the ICRISAT genotypes

compared to Nsukka Local was attributed to genotypic differences. The improvement in the

ICRISAT short- and medium-duration genotypes could have enhanced their absorption

capacity for these nutrients compared with the long-duration unimproved Nsukka Local

genotype. The high calcium ontent of ICPL 87 compared to all the other pigeonpea

genotypes was could be its genetic affinity for the element.

Experiment 2: Study of field-to-store insect pest infestation on pigeonpea genotype

seeds and evaluation of the residual activities of actellic dust on C. maculatus.

This study revealed that there was no transfer of field pests infestation on the

harvested pigeonpea seed overulling any field-to-store infestation with post harvest stored

pigeonpea unlike in cowpea (vigna unguiculata L. Walp) as reported by Caswell (1984) in

Nigeria reported that cowpea pods stored for 8 months in Nigeria had 50% of the grain

damaged by bruchids, but when stored as grain, 82% of the grain had one or more holes.

The lack of field-to-store infestation on pigeonpea grains stored for 6 months in this study

was primarily attributed to the thick and tougher pod-wall that is always associated with this

crop compared with those of cowpea. Generally, pigeonpea has tougher and thicker pod

walls than cowpea which in most cases do not dehisce. Akingbohungbe (1976) had ealier

attributed pod-wall thickness to be responsible for reduced bruchid adult emergence from

resistence cowpea with this trait. Similarly Silim Nahdy et al., (1998) reported that the pods

in pigeonpea prevents many adults from emerging. The dry pods prevent infestation of seeds

inside the pods by bruchids which are outside. Consequently, the post harvest storage losses

to bruchids usually encountered in pigeonpea should not be attributed to field-to-store

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infestation but could be re-infested in the store. In Uganda, pigeonpea samples obtained

from markets showed only low infestation by C. maculatus, which was attributed to cross

infestation from cowpea (Silim Nahdy et al., 1998). The reductions in emerging number of

F1 generation, adult emergence, mortality count, damaged grains and grain weight loss on

the infested stored pigeonpea grains implied residual effectiveness of actellic dust on

bruchid development and damage six months after treatment. The high bruchid population

in the untreated seeds at the termination of the experiment was expected due to rapid insect

multiplication and lack of actellic dust. This also implied having higher damaged grain

number due to insects that would have developed and left the seed, mated and laid additional

eggs for further development culminating in greater seed damage and seed weight loss. This

agrees with the report by Ali et al., (2004) that the pest generates exceedingly high levels of

infestation even when they pass only one or two generations on the host plant. The less

effectiveness of half-dose of actellic as a residual treatment in this study compared with full

dose was expected because the half-life of the active ingredient (a.i.) in the half-dose would

normally be shorter and would wane down faster than the half-life of the a.i. in the full dose.

Jackai and Adalla (1997) demonstrated that with a susceptible vita 7 cowpea variety, where

half dose of freshly applied Apron plus (2.5g/kg seed) did not reduce aphid infestation after

2 weeks. But on aphid resistant cultivar, IT8455-2246, they showed a marked reduction in

the number of aphids even with a half dose. Relative susceptibility/resistance of the different

variaties under prolonged storage to bruchid attack was evident in this study. This agrees

with earlier report by Dongre et al., (1993). The evident trend of lower oviposition count, F1

count, damaged grain, grain weight loss in ICPL 161 compared to others having the least

susceptibility index value implied having higher resistance trait although they fell within

moderate resistant classificiation according to Mensah (1986).

Combination of chemical treatment and variety generally did not produce any

significant effect. However, ICPL 7120 admixed with half actellic dose appeared to produce

less oriposition count, F1 count, MDD, mortality count, damaged grains (percentage) and

loss in grain weight. Adesuyi (1979) reported that factors kown to be responsible for the

resistance of stored products to attack by insects included presence of toxic alkaloids or

amino acids in some stored products, digestive enzymes inhibitors and kernel hardness.

These are absent or their levels are very low in susceptible varieties.

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Experiment 3: Susceptibility of pigeonpea seeds to C. maculatus infestation under

storage and evaluation of their seed hardness.

The high variability among the pigeonpea genotype seeds in their responses to C.

maculatus infestation in terms of oviposition count, F1 count, percentage seed damage, seed

weight loss, total insect mortality count, susceptibility index (SI) values, and percentage

seed germination at the end of the experiment implied that the pigeonpea genotype seeds

differed in their inherent resistance attributes to the pest. Mahgoub and Khalifa (1993)

reported significant variations too among 16 varieties of faba bean in oviposition rate, mean

development days (MDD), and percentage adult emergence which were not consistant

indicating that resistance was most likely lying within the seed testa. Bamaiyi et al., (2000)

also reported wide variability between 36 sorghum varieties with respect to the number of F1

adult emergence, median development period, index of susceptibility, percentage damage

and weight loss and grain hardness. More eggs were deposited on susceptible seeds in this

study agreeing with earlier report by Khokhar and Gupta (1974). Similarly, the insect

development in the pigeonpea genotype seeds followed the same pattern with higher

percentage seed damage, seed weight loss and total insect mortality count being more in the

susceptible genotype seeds. The low values of oviposition count, mean development days

and percentage germination at the end of the experiment and the least values of F1 count,

percentage seed damage and seed weight loss, total insect mortality and susceptibility index

value exhibited by ICPL 161was suggestive of its being a resistant genotype.

The similar trend in the number of emerged adults (F1) and the susceptibility index

values of the genotypes in this study was expected. Susceptibility of the seeds would have

allowed for development and emergence of the adult insects. The higher the number of

emerged adults, the greater the chance of further development of the insects on the seeds and

a correspong damage on the crop. F1 count could then be used to predict the susceptibility of

the pigeonpea genotypes. Bamaiyi et al., (2000) similarly found that sorghum vatrieties with

high index of susceptibility had shorter periods for completion of the development of S.

oryzae and those with low index of susceptibility had longer periods within which

development of S. oryzae was completed. This also agreed with report by Dobie (1984) that

resistant maize varieties extended the development period of Zea mays.

Based on Mensah (1986) categorization, ICPL 161, ICPL 87 and ICPL 85063 were

classified as resistant accessions with S.I. values between 0.0 - 2.5. These accessions did

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not allow high egg deposition and seed damage. Nsukka local, ICPL 87119 and ICPL 7120

were classified as moderately Resistant (MR) accessions with S.I. values between 2.6 – 5.0.

These accesssions allowed higher oviposition and insect development compared with those

of resistant accessions. On the bases of obtained S.I. values too, Ali et al., (2004) reported

that broad bean varieties were moderately resistant (MR) to C. maculatus and moderately

susceptible (MS) to C. chinensis

The high variability in physical hardness amongst the pigeonpea genotypes was

irrespective of their maturity grouping and was attributed to differences in their genetic

make-up. To relate physical characteristics of host in the development of resistance to insect

pests, Semple (1992) reported that the rate of insect population increase could be adversely

affected when a resistant variety is used which causes a reduction in oviposition rate through

physical or mechanical barrier. The barrier is said to either deter access into the grain or

make it unsuitable for oviposition was suggestive to be caused either by barriers that are too

hard for species that perfer smooth substrates to adhere their eggs or to the difficulty in

penetrating such barriers by larvae after hatching from eggs. The difficulty in host tissue

penetration is what Murdock et al., (1997) described as pre stabishment larval mortality

(preM) as against death after penetration which was called post establishment larval

mortality (postM). Bamaiyi et al., (2000) reported differences in hardness among 36

sorghum varieties agreeing with earlier report by Dobie (1974) for maize. While grains

differ in their hardness, it is considered an important attribute for their storability. Bamaiyi

et al., (2000) report showed that all the sorghum varieties having hard grains in their study

were also found to be resistant to S. oryzae. A similar trend was exhibited by most of the

pigeonpea genotypes in this study. The lowest value of seed hardness (13.6kgf) and highest

susceptibility index value (4.2) in ICP 7120 implied that seedhardness played a significant

role in its resistance to C. maculatus pest infestation. Similarly ICPL 87119 had low seed

hardness value and relatively high S.I. value implying low resistance to the pest. The same

situation held for ICPL 85063 and ICPL 87 with high seed hardness values and low S.I.

values. Although the mean development days did not differ significantly in this study, the

longer days in harder seeds agreed with the pre- and post-establishment larval mortality

according to Murdock et al., (1997).

The influence of seed hardness as a resistance attribute in the pigeonpea genotype

seeds to C. maculatus however did not hold for ICPL 161 and Nsukka Local genotypes in

this study. The seed hardness value was low for ICPL 161 but it had the least S.I. value of

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1.6 and Nsukka Local had high seed hardness value and moderately high (3.0) S.I. value.

This implied that other factors could have been responsible for their resistance to C.

maculatus infestation in this study. Adesuyi (1979) reported that other factors other than

seed hardness such as presence of toxic alkaloids or amino acids in some stored products,

insect feeding deterrants, seed coat characteristics that discourage oviposition, and digestive

enzymes inhibitors are known to be responsible for the resistance of stored products by

insects.

Antinutritional Factors in the seeds of pigeonpea genotypes.

The presence of antinutritional factors in the pigeonpea genotype seeds was typical

of the seeds of pulse crops as reported by Mulimani and Paramjyothi (1995). Binital and

Khetarpaul (1997) reported that the antinutritional factors interfer with metabolic process so

that growth and bioavailability of nutrients are negatively influenced. Champ (2002)

reported that antinutrients have adverse effects on animals when ingested regularly in large

amount over a long period of time. The levels of these antinutritional factors in the

pigeonpea genotypes seeds in this study are considerd low as Umaru (2007) reported that

antinutritional factor levels in pigeonpea and chickpea are low and would be further reduced

or destroyed on cooking suggesting no great need for concern. Similarly, Odeng (2007)

reported that antinutritional factors such as protease (trypsin and chymortryipsin) inhibitors,

amylase inhibitors and polyphenols, which are a known problem in most legumes are less

problematic in pigeonpea than soybean, peas (Pisum sativum) and field beans. Processing

techniques such as soaking, cooking, germination and fermentation have been found to

reduce significantly the levels of Phytates and tannins by exogenous and endogenous

enzymes found during processing (Iorri and Svanberg 1995, Ekpo et al., 2004, Ekpo and

Eddy, 2005). Removal of seed coat helps in reducing the levels of these antinutritional

factors, a process possible at the home level prior to cooking and consumption since it is

easy, simple and inexpensive (Mulimani and Paramjyothi 1995). This suggests that

pigeonpea could easily be processed/cooked by the traditional farmer making it safe for

consumpyion to derive the benefit of its high nutritional value and to equally benefit from

the positive anticarcinogenic properties of phytic acid as reported by Champ (2002). They

could as well be slightly processed and used in feed formulation for livestock feed to further

increase its utility. The difference in the antinutritional factor contents of the pigeonpea

genotypes seeds in this study were attributed to genotypic differences.

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CHAPTER SIX

SUMMARY AND CONCLUSIONS

Experiment 1: Assessment of six pigeonpea genotypes under late maize intercropping

production systems with two maize genotypes.

The work is a build up on the importance of intercropping system of crop production

being in common practice among the traditional farmers. It also reveals the advantages of

using improved genotypes over using low yielding traditional varieties.

The five improved ICRISAT pigeonpea genotypes differed in yield among

themselves but they all outyielded the Nsukka Local pigeonpea genotype under both

intercrop and sole crop conditions. Similarly, they gave greater monetary returns under both

intercrop and sole crop conditions compared with the Nsukka local genotype. The pigeonpea

genotypes were highly compartible with the two maize genotypes in the intercropping

systems. All the six pigeonpea genotypes mixtures with the two maize genotypes outyielded

their respective sole crops by having greater than one land equivalent ratio values (LER>

1.0) and higher economic returns as measured by the benefit/cost ratio analysis. This was

more so with the improved ICRISAT pigeonpea mixtures and their sole crops. The

benefit/cost ratio analysis indicated a loss under sole cropping of only the Nsukka Local

pigeonpea genotype due to its low yield. This implied that the ICRISAT pigeonpea

genotypes are ideal for intercropping with maize to replace the long-duration pigeonpea

genotypes in the traditional farming system. This implied too that the additive series

pigeonpea/maize intercropping adoption is considered worthwhile.

Maturity period in pigeonpea was significantly delayed in the Nsukka Local

genotypes being of long-duration type compared with the ICRISAT genotypes which were

of short- and medium-duration types. The improvrd ICRISAT pigeonpea genotypes had

fewer but longer primary branches with longer pod distribution length and higher number of

pods resulting in higher grain yield compared with the Nsukka Local genotype. These are

good agronomic attributes in the ICRISAT genotypes that made them comparatively more

effective under intercropping systems compared with the local pigeonpea genotype with

longer duration period, shorter primary branches and lower number of leaves at anthesis.

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The ICRISAT pigeonpea genotypes are therefore suitable for adoption in intercropping

systems.

The maize crop had comparatively greater intercropping effect on all the pigeonpea

genotypes in the intercropping systems reducing both their vegetative and grain yields.

Hybrid maize genotype gave greater negative intercropping effect on the pigeonpea

geotypes than its open pollinated maize counterpart. This clearly shows the effect of

genotypic difference among crop species because they differ in competition for growth

resources affecting their competitiveness under intercropping systems. Maize intercropping

also reduced nitrogen and potassium leaf contents in the pigeonpea crops at the flowering

stage with greater effect from the hybrid maize. The need to assess the productivity of crop

genotypes under different intercropping systems cannot be over emphasized. The

significantly different leaf contents of N, P, K. and Ca in the pigeonpea genotypes leaves

was attributed to genotypic differences.

Minor insect pests affected the pigeonpea crop at the early vegetative stage without

much effect on the crop but at the reproductive stage, the insect pest infestation was high

affecting the grain yield in the pigeonpea. Maize intercropping also slightly reduced the

insect pests count in the pigeonpea compared with sole cropping at the reproductive stage.

This implied that combining pests resistance attributes in crop species with intercropping

practices may reduce the effects of pests on crops.

Ratoon crop production was possible for all the pigeonpea genotypes under the

humid tropical condition of this production with higher plant losses in the ICRISAT

genotypes due to their short- and medium-duration nature compared to the long-duration

Nsukka Local genotype. Effects of intercropping reflected on the pigeonpea ratoon crops as

grain yield was lower in those plants that were previously intercropped compared with those

that were cropped as sole crops. Insect pest infestation at the reproductive stage was higher

in the ratoon crops compared with the regular crops and attributed to pest build-up in the

ratoon crops.

Experiment 2: Field-to-store insect pest infestation of six pigeonpea seeds and

evaluation of the residual activity of actellic dust on C. maculatus.

Post-harvest storage studies on the pigeonpea genotypes revealed that there was no

field-to-store insect pest infestation on the pigeonpea. This was attributed to the thick pod

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wall and the non-shattering pods of the pigeonpea genotypes at maturity which could have

protected the seeds from oviposition by adult insect pests in the field. This implied that a

good storage condition with no pre-storage pest infestation would guarantee for a long-

storage period for the pigeonpea grains considering the high resistance rating of the seeds.

Disinfected stores would ensure for long period storage of the crop which will attract good

prices and better returns to the farmer and a prolonged food supply.

Residual activity of actellic dust (Pirimophos-methyl) six months post storage

reduced C. maculatus storage pest development and multiplication on the seeds of the

pigeonpea genotypes. The effect was greater under half and full dosage treatments compared

to where actellic dust was not applied. This implied that storage chemicals have tendency to

reduce insect pests build up where they are applied after some period but not effective for a

complete control.

Experiment 3: Susceptibility of the seed of six pigeonpea genotypes to Callosobruchus

maculatus in storage.

The pigeonpea genotypes seeds differed significantly in their physical hardness and

susceptibility to C. maculatus infestation under storage condition. Seed hardness contributed

greatly to pest resistance attributes in most of the pigeonpea genotypes seeds but not

absolutely based on the susceptibility index values of the seeds obtained in this study.

The susceptibility index (SI) analysis on the stored pigeonpea genotype seeds and

their resistance classification according to Mensah (1986), placed ICPL 161, ICPL 87 and

ICPL 85063 in resistant (R) genotypes category and Nsukka Local, ICP 7120 and ICPL

87119 genotypes in moderately resistant (MR) seed category. This implied that the

ICRISAT pigeonpea genotypes combined both high yield and good seed storage qualities

that would greatly be useful to the traditional farmer under local production systems.

Experiment 4: Antinutritional factors assessment in the seeds of six pigenotypes.

The antinutritional factor contents of the pigeonpea genotype seeds were low but

varied significantly among the genotypes. This was attributed to genotypic differences

among the pigeonpea genotypes. Such contents do not pose much threat to human and

livestock consumption as the antinutritional factors could easily be destroyed or removed

through simple processes like cooking and soaking.

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Conclusion.

It can be concluded that the high grain yields of the ICRISAT pigeonpea genotypes

under intercropping systems and as sole crops compared with the Nsukka Local genotype

makes them suitable for adoption by the traditional farmers to replace their poor yielding

cultivars. It can be concluded too that the higher land productivity and economic returns of

the pigeonpea/maize intercropping systems over sole cropping systems was a manifestation

of the intercropping advantage associated with the intercropping systems over sole cropping

of the component crops which could be exploited to the advantage of the farmer. The longer

primary branches with lengthy pod distribution of the ICRISAT pigeonpea genotype plants

and their higher number of pods and seeds when compared with the Nsukka Local genotype

were observed to be agronomic attributes that enhanced their productivity.

It can be concluded too that the non transfer of field-to-store insect pests in the

pigeonpea genotype grains was a manifestation of their resistance to such pests. The low

level of susceptibility of the pigeonpea genotype seeds to Callosobruchus maculatus pest

under storage condition for being in resistant (R) and moderately resistant (MR) categories

only further revealed their resistance attributes. With ICPL 161, ICPL 87 and ICPL 85063

ICRISAT pigeonpea genotypes in resistant (R) seed category, it can be concluded that they

combined both high yield and good storage qualities which are desired agronomic attributes.

The ICRISAT pigeonpea genotypes are suitable for adoption to boost the production of the

crop under the traditional cropping system both as main and ratoon crops.

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APPENDIX I

WORKED EXAMPLE ANALYSIS FOR 2006 PIGEONPEA YIELD (KG/HA) DATA.

Treatments Rep I Rep II Rep III Total

V1SO 1293.2 970.0 1984.0 4248.0

V2SO 1735.6 1168.4 2177.2 5081.2

V3SO 1350.8 1327.2 1536.0 4214.0

V4SO 1059.2 1414.4 1374.0 3847.6

V5SO 1327.2 1303.2 1313.6 3944.0

V6SO 954.0 2800.8 1114.8 2869.6

V1OM 1274.0 603.2 642.8 2520.0

V2OM 1323.6 1121.6 1002.8 3448.0

V3OM 1181.6 1299.2 980.4 3461.2

V4OM 858.8 820.4 933.6 2612.8

V5OM 959.6 826.4 756.4 2542.4

V6OM 813.2 751.2 698.8 2263.2

V1HM 1133.6 636.4 940.8 2710.8

V2HM 1238.4 1067.6 797.6 3103.6

V3HM 1290.0 601.2 794.0 2685.2

V4HM 825.2 916.4 807.2 2548.8

V5HM 1022.8 1213.6 686.4 2922.8

V6HM 756.4 616.8 769.6 2142.8

Total 20397.2 17458.0 19310.8 57166.0

Note: V1 – V6 = Pigeonpea genotypes

SO = Sole cropped pigeonpea

OM = Open pollinated maize intercropped pigeonpea

HM = Hybrid maize intercropped pigeonpea.

Xijk = + i + j + k + ()ij + ijk

1. Correction factor (CF) =

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2. Block SS =

= 60763029.36 – 60517621.4 = 245407.96

3. Total SS =

= 66486519.8 – 60517621.4 = 596898.44

4. Error SS = TSS Treat. comb. SS – block SS

= 5968898.44 – 3705400.73 – 245407.96

= 2018089.75

Two-way totals of factors A and B.

Pigeonpea

Genotypes

Factors A.

V1 V2 V3 V4 V5 V6 Total

Factors B SO 4248.0 5081.2 4214.0 3847.6 3944.0 2869.6 24204.4

OM 2520.0 3448.0 3461.2 2612.8 2542.4 2263.2 16847.6

Crop. sys. HM 2710.8 3103.6 2685.2 2548.8 2922.8 2142.8 16114.0

Total 9475.8 11632.8 10360.4 9009.2 9409.2 7275.6 57166.0

Two-way table of means of factors A and B.

Pigeonpea

Genotypes

Factors A.

V1 V2 V3 V4 V5 V6 Mean

Factors B SO 1416.0 1693.7 1404.6 1282.5 1314.6 956.5 1344.68

OM 840.0 1149.3 1153.7 870.9 847.4 754.4 935.97

Crop. sys. HM 903.6 1034.5 895.0 849.6 974.2 714.2 895.22

Total 1053.2 1292.5 1151.0 1001.0 1045.4 808.4 1058.63

To decompose treatment SS to SS for factor A, factor B and SS for AB interaction, we use

two-way totals of factor A and B.

1. SS of factor A (SSA) =

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= 61682295.34 – 60617621.4 = 1164673.94

2. SSB = =

3. SS. AB =

4. Final Analysis of Variance (ANOVA) Table.

Sources of

variation

df ss mss F.cal Table

5%

1%

Block (r-1) 2 245407.96 122703.93 2.067 8.32 5.39

Treat. combs.

(ab-1)

17 3705400.73 217964.74 3.672** 1.89 2.47

Factor A (a-1) 5 1164673.94 232934.78 3.924** 2.53 3.70

Factor B (b-1) 2 2224356.44 1112178.22 18.737** 3.22 5.39

Interaction AB

(a-1) (b-1)

10 316370.35 31637.03 0.533 2.27 2.84

Error (r-1) (ab-1) 34 2018089.75 59355.58

Least significant difference (lsd) t(error df) Sd.

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1. Lsd0.05 = t/34(2.0337) 2 59355.58 =233.56

9

2. Lsd0.05 = 2.0337 2 59355.58 = 165.15

18

3. Lsd0.05 for pigeonpea cropping system interaction = 2.03372 59355.85

3

=404.63

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APPENDIX II

Summary of Analysis of Variance Table

1. Experiment I: Assessment of six pigeonpea genotypes under two late maize genotypes in

intercropping systems (Pigeonpea data)

Source of Variation Degree of Freedom

Block (r-1) 2

Treatment Combinations (ab-1) 17

Factor A (a-1) 5

Factor B (b-1) 2

Interaction AB (a-1) (b-1) 10

Error (r-1) (ab-1) 34

Total (rab-1) 53

2. Experiment I; Assessment of six pigeonpea genotypes under two late maize genotypes in

intercropping systems (maize data)

Source of Variation Degree of Freedom

Block (r-1) 2

Treatment Combinations (ab-1) 13

Factor A (a-1) 6

Factor B (b-1) 1

Interaction AB (a-1) (b-1) 6

Error (r-1) (ab-1) 26

Total (rab-1) 41

3. Experiment I: Assessment of intercropping efficiency (LER).

LER =SB

YB

SA

YA ; YA and YB are individual crop yields in intercropping SA and SB the

crop yields as sole crops.

LER> I indicates intercrop land use advantage.

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Analysis of some antinutritional factors in pigeonpea.

Source of Variation Degree of Freedom

Treatment Combinations (t-1) 5

Error t (r-1) 12

Total (tr-1) 17

Experiment 2: Assessment of field-to-store insect pests infestation on seeds of six

pigeonpea genotypes and the residual effect of actellic dust on introduced C.

maculatus insect pest six months after storage.

Source of Variation Degree of Freedom

Treatment Combinations (ab-1) 17

Factor A (a-1) 5

Factor B (b-1) 2

Interaction AB (a-1) (b-1) 10

Error ab (r-1) 36

Total (rab-1) 53

Experiment 3: Susceptibility of the seed of six pigeonpea genotypes to Callosobruchus

maculatus storage Rest.

Source of Variation Degree of Freedom

Treatment Combinations (t-1) 5

Error t (r-1) 12

Total (tr-1) 17

Experiment 3: Seed hardness test on seeds of six pigeonpea genotypes

Source of Variation Degree of Freedom

Treatment Combinations (t-1) 5

Error t (r-1) 12

Total (tr-1) 17