opportunities and limitations of multidimensional crop improvement in grain legumes to support...

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Opportunities and limitations of multidimensional crop improvement in grain legumes to support increased productivity in mixed crop livestock systems Michael Blümmel 1 , Jane Wamatu 2 , Barbara Rischkowsky 2 and Siboniso Moyo 1 International Livestock Research Institute (ILRI) International Centre for Agricultural Research in Dry Areas (ICARDA) International Conference on Pulses for Health, Nutrition and Sustainable Agriculture in Drylands Marrakesh, Morocco, 18-20 April 2016

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Page 1: Opportunities and limitations of multidimensional crop improvement in grain legumes to support increased productivity in mixed crop livestock systems

Opportunities and limitations of multidimensional crop improvement in grain legumes to support increased productivity in mixed crop livestock

systems

Michael Blümmel1, Jane Wamatu2, Barbara Rischkowsky2 and Siboniso Moyo1

International Livestock Research Institute (ILRI)International Centre for Agricultural Research in Dry Areas (ICARDA)

International Conference on Pulses for Health, Nutrition and Sustainable Agriculture in Drylands

Marrakesh, Morocco, 18-20 April 2016

Page 2: Opportunities and limitations of multidimensional crop improvement in grain legumes to support increased productivity in mixed crop livestock systems

Topics Rational for paying attention to haulm traits: demand, impact and cultivar differences

Differences in haulm traits available in crop improvement and opportunities for further improvements

Relationships between traits and trade-offs

Where to go from here

Page 3: Opportunities and limitations of multidimensional crop improvement in grain legumes to support increased productivity in mixed crop livestock systems

Demand, impact and cultivar differences

Legume haulm fodder markets

Productivity of livestock fed legume haulms

Page 4: Opportunities and limitations of multidimensional crop improvement in grain legumes to support increased productivity in mixed crop livestock systems

CP HAY GN HAY CS CAKE R CONC

January 493±49bc 454±9ef 159±5a 152±3a

February 568±34ab 494±17de 174±7a 144±3a

March 610±20a 533±9cd 162±2a 163±3a

April 561±15ab 503±8de 167±3a 152±4a

May 598±10a 558±8bcd 165±2a 164±3a

June 651±8a 597±4ab 164±2a 160±4a

July 650±12a 612±6ab 180±12a 157±2a

August 667±9a 611±6ab 165±3a 162±5a

September 665±6a 649±9a 166±3a 164±5a

October 367±11d 326±10g 163±2a 172±6a

November 411±8cd 345±8g 163±3a 161±4a

Cost of (FCFA /kg DM) of cowpea (CP) and groundnut(GN) hay compared to cotton seed (CS) cake and a

ruminant (R) concentrate at 5 fodder markets in Mali in 2010

Ayantunde et al (2015)

Page 5: Opportunities and limitations of multidimensional crop improvement in grain legumes to support increased productivity in mixed crop livestock systems

Live weight gains in Indian Deccan sheep fed exclusively on groundnut haulms

Groundnut cultivars Gain (g/d)ICGV 89104 137ICGV 9114 123TMV 2 111ICGS 76 76ICGS 11 76DRG 12 66ICGS 44 65ICGV 86325 83ICGV 92020 95ICGV 92093 109Prob > F 0.02

Prasad et al. 2010

Page 6: Opportunities and limitations of multidimensional crop improvement in grain legumes to support increased productivity in mixed crop livestock systems

Live weight changes in West African Dwarf Sheep fed exclusively on groundnut haulms

Groundnut cultivars Gain/loss (g/d)M170-801 46M554-76 24M572-801 26RMP-12 31UGA-2 -6UGA-5 38

Etela and Dung 2011

Page 7: Opportunities and limitations of multidimensional crop improvement in grain legumes to support increased productivity in mixed crop livestock systems

Live weight Changes in Ethiopian Arsi-Bale Sheep Fed Exclusively on Faba bean Straws

Wegi et al., 2016

Cultivars Grain Yield Straw Yield Weight Gain (g/d)Mosisa 4.28a 5.68a 52.2ab

Walki 4.21a 4.42c 64.6a

Degaga 4.20a 4.31c 43.2bc

Shallo 4.06a 4.98b 37.5c

Local 2.89b 3.65d 48.3bc

Page 8: Opportunities and limitations of multidimensional crop improvement in grain legumes to support increased productivity in mixed crop livestock systems

Conclusion: demand, impact and cultivar differences

High monetary value of legume haulm, beginning of grading for variations in quality

Excellent feed potential, substantial cultivar differences in haulm quality

Importance of livestock productivity trials in validating food-feed traits of cultivars

Page 9: Opportunities and limitations of multidimensional crop improvement in grain legumes to support increased productivity in mixed crop livestock systems

Differences in haulm traits available in crop improvement and opportunities for

further improvements

Variations in key haulm fodder quality traits nitrogen (N x 6.25 equals protein) and in vitro digestibility (IVOMD)

Broad sense heritabilities for key traits

Page 10: Opportunities and limitations of multidimensional crop improvement in grain legumes to support increased productivity in mixed crop livestock systems

Crop N % IVOMD % SourceMean Range Mean Range

Cowpea [50x2x5] 2.2 1.5 – 2.5 59.1 56.7-61.0 Samireddipally et al (2016)

Groundnut [800] 1.7 1.2 – 2.3 56.3 51.7-61.1 Nigam & Blümmel (2014)

Chickpea [280] 0.7 0.4-1.7 49.5 44.0-58.6 Blümmel et al (2016)

Chickpea [475] 0.9 0.5-1.4 49.3 44.9-53.7 Wamatu et al (2016)Field Pea [144] 1.25 0.6-1.5 50.1 47.8-52.5 Wamatu et al (2016)Faba Bean [150] 0.83 0.8-0.9 42.1 40.4-43.7 Ashraf et al (2016)Lentils [530] 1.5 0.6-2.4 49.3 44.9-53.7 Wamatu et al (2016)

Page 11: Opportunities and limitations of multidimensional crop improvement in grain legumes to support increased productivity in mixed crop livestock systems

Crop PY HY N IVOMD 1Cowpea [50 x 2 years x 5 locations] 0.50 0.29 0.67 0.612Groundnut [200 x 2 years x 2 H2O] 0.72 0.75 0.81 0.49

Broad sense heritabilities (h2) for pod (PY) and haulm yield (HY) and key haulm fodder quality traits nitrogen

(N) and in vitro digestibility (IVOMD)

1Samireddipally et al (2016), Boukar et al (2016)2Blümmel et al (2011)

Page 12: Opportunities and limitations of multidimensional crop improvement in grain legumes to support increased productivity in mixed crop livestock systems

Twenty highest nitrogen contents

2.3 2.4 2.5 2.6 2.7 2.8 2.9 3.0 3.10

500

1000

1500

2000

2500

Control: P = 0.5Stress: r= -0.45; P = 0.04

Relationships between haulm nitrogen contents and pod yield in cultivars ranked for haulm nitrogen

Nitrogen content of haulms (%)

Pod

yiel

d(kg

/ha)

Twenty highest pod yielders

1.7 1.8 1.9 2.0 2.1 2.2 2.3 2.4 2.5 2.6 2.7 2.80

500

1000

1500

2000

2500

3000

3500

4000

control: P = 0.25stress: P = 0.16

Nitrogen content of haulm (%)

Pod

yiel

d(kg

/ha)

Relationships between haulm nitrogen contents and pod yield in cultivars ranked for pod yield

Primary of trait: Groundnut pod yield versus haulm nitrogen yieldGroundnut Set [200 x 2 years x 2 H2O]

Blümmel et al (2012)

Page 13: Opportunities and limitations of multidimensional crop improvement in grain legumes to support increased productivity in mixed crop livestock systems

Twenty highest in vitro digestibilities

61 62 63 64 65 660

500

1000

1500

2000

2500

3000

control: P = 0.63stress: P = 0.59

Relationships between haulm in vitro digestibility and pod yield in cultivars ranked for in vitro digestibility

In vitro digestibility of haulms (%)

Pod

yiel

d (k

g/ha

)

Twenty highest pod yielders

57 58 59 60 61 62 63 64 650

500

1000

1500

2000

2500

3000

3500

4000

stress: P=0.76control: P=0.50

Relationships between haulm in vitro digestibility and pod yield in cultivars ranked for pod yield

In vitro digestibility of haulms (%)

Pod

yiel

d (k

g/ha

)

Primary of trait: Groundnut pod yield versus haulm in vitro digestibility yield

Groundnut Set [200 x 2 years x 2 H2O]

Blümmel et al (2012)

Page 14: Opportunities and limitations of multidimensional crop improvement in grain legumes to support increased productivity in mixed crop livestock systems

Conclusions: Differences in haulm traits available and opportunities for further improvements

Substantial variations in key fodder quality traits available in most crops

Broad sense heritabilities for key traits high enough to allow targeted improvement

Multi traits selection seem feasible

Page 15: Opportunities and limitations of multidimensional crop improvement in grain legumes to support increased productivity in mixed crop livestock systems

Relationships between traits and trade-offs

Are there immediate trade offs between biomass quantity and quality

How are key fodder quality traits related to pod and haulm yield

Page 16: Opportunities and limitations of multidimensional crop improvement in grain legumes to support increased productivity in mixed crop livestock systems

Variable Means Ranges P<F h2

Pod yield

Stress

Control

988

1753

316 - 1951

589 – 3283

0.0001

0.0001

0.77

0.70

Haulm yield

Stress

Control

2916

3840

1232 – 4622

1777 – 6045

0.0001

0.0001

0.73

0.70

Haulm nitrogen

Stress

Control

2.41

2.23

1.94 – 2.88

1.81 – 2.66

0.0001

0.0001

0.77

0.70

Haulm digestibility

Stress

Control

60.9

61.6

57.3 – 64.3

59.5 – 64.2

0.0001

0.0001

0.26

0.44

Pod yields (kg/ha), haulm yields (kg/ha), haulm N contents (%) and in vitro digestibilities (%) in groundnut cultivars grown under stress (202) and control (194) conditions at Patancheru India in 2009 and 2010

Page 17: Opportunities and limitations of multidimensional crop improvement in grain legumes to support increased productivity in mixed crop livestock systems

Crop N vs PY IVOMD vs PY N vs HY IVOMD vs HYCowpea [50x2x5] -0.26 0.11 0.21 0.44**Groundnut [800] 0.26*** 0.05 0.26*** 0.23***Groundnut [200] -0.23*** -0.20*** 0.53*** 0.48***Chickpea [475] -0.06 0.06 -0.02 0.11*

Faba Bean [150] -0.16* 0.16* -0.05 0.12 Lentils [530] -0.73*** -0.12** -0.25*** 0.19***

Correlations between haulm nitrogen (N) and in vitro digestibilities and pod (PY) and haulm yield (HY)

Page 18: Opportunities and limitations of multidimensional crop improvement in grain legumes to support increased productivity in mixed crop livestock systems

(Blümmel et al., 2012)

Page 19: Opportunities and limitations of multidimensional crop improvement in grain legumes to support increased productivity in mixed crop livestock systems
Page 20: Opportunities and limitations of multidimensional crop improvement in grain legumes to support increased productivity in mixed crop livestock systems

Conclusions: Relationships between traits and trade-offs

Considerable elasticity between changes in biomass yield and biomass composition

In many cases inverse relations between haulm N content and pod yield, series in the case of lentils

Generally positive relationships between haulm fodder quality and haulm yield

Water stress enforces negative and positive trait relationships

Page 21: Opportunities and limitations of multidimensional crop improvement in grain legumes to support increased productivity in mixed crop livestock systems

Where to go from here Assess “real” likely future value of haulms of grain legumes

Is improvement for pod yield “only” adequate and matches farmers demand

How could haulm traits (and grain traits) be included into

crop improvement and cultivar release criteria

Page 22: Opportunities and limitations of multidimensional crop improvement in grain legumes to support increased productivity in mixed crop livestock systems

Ration Design Sheep Fattening CP (%) ME (MJ/kg) Feed Cost (FCFA/100 kg)

Early dry season: based on cowpea hay 15 8.10 29 008

Early dry season: based on concentrate 15 8.34 15 406Late dry season: based on cowpea hay 15 8.19 39 480Late dry season: based on concentrate 15 8.39 15 870

Ayantunde et al (2015)

Potential iso-nitrogenous and iso-energetic sheep fattening rations based on either cowpea or ruminant concentrate available at the

markets and analyzed for price-quality

Page 23: Opportunities and limitations of multidimensional crop improvement in grain legumes to support increased productivity in mixed crop livestock systems

Comparisons of on farms advantage of improved dual purpose groundnut and traditional cultivar in 3 villages of Anantapur, India

Cultivars Pod yield Haulm yield Milk yield

TMV2 2.24 t/ha 2.64 t/ha 3.92 kg/d

ICGV 91114 2.57 t/ha 3.08 t/ha 4.36 kg/d

15 % 17 % 10 %

Page 24: Opportunities and limitations of multidimensional crop improvement in grain legumes to support increased productivity in mixed crop livestock systems

Haulm fodder quality traits in 15 cultivars release-tested across four locations in India

Protein Lignin Digestibility

Range 13.4-19.0 3.7-6.4 54.8-59.5

Mean 15.4 5.2 56.6

Page 25: Opportunities and limitations of multidimensional crop improvement in grain legumes to support increased productivity in mixed crop livestock systems

Qualitative trait prediction in plant breeding basedon Near Infrared Spectroscopy (NIRS)

Non-evasivec. 200 samples/d>30 traits

Physico-chemicalc. 60 000 US $CalibrationValidation

NIRS equations sharable across compatible instruments

At current: ILRI

Page 26: Opportunities and limitations of multidimensional crop improvement in grain legumes to support increased productivity in mixed crop livestock systems

Propositions: Where to go from here Promotion and support of testing of different least cost rations

among sheep fatteners in West Africa: “perceptions vs science”

Understand better farmer demand and valuations of whole crop compared to “grain” focus

Include haulm traits into new cultivar release processes of a

grain legume as proof-of-concept

Can we discuss this in context of CRP Phase 2 work?

Page 27: Opportunities and limitations of multidimensional crop improvement in grain legumes to support increased productivity in mixed crop livestock systems

CGIAR Research Program on Livestock and Fish

livestockfish.cgiar.org

The CGIAR Research Program on Livestock and Fish aims to increase the productivity of small-scale livestock and fish systems in sustainable ways, making meat, milk and fish more available and affordable across the developing world.

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