mutagenic effects of ultraviolet radiation on growth and agronomic characters in maize cultivars
TRANSCRIPT
Molecular Plant Breeding 2016 Vol7 No01 1ndash10
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1
Research Article Open Access
Mutagenic Effects of Ultraviolet Radiation on Growth and Agronomic Characters in Maize Cultivars Olawuyi OJ
1 Bello OB
2 Abioye AO
1
1Department of Botany University of Ibadan Ibadan Nigeria
2Department of Biological Sciences Fountain University Osogbo Nigeria
Corresponding authors email obbello2002yahoocom
Molecular Plant Breeding 2016 Vol7 No01 doi 105376mpb2016070001
Received 15 Sep 2015
Accepted 26 Oct 2015
Published 01 Jan 2016
Copyright copy 2016 Olawuyi et al This is an open access article published under the terms of the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited
Preferred citation for this article
Olawuyi OJ Bello OB and Abioye AO 2016 Mutagenic effects of ultraviolet radiation on growth and agronomic characters in maize cultivars Molecular Plant Breeding 7(01) 1ndash10 (doi 105376mpb2016070001)
Abstract Ultraviolet (UV) light has strong genotoxic effect to induce mutations for developing high genetic variability in yields
early maturity and other characters in crops The study investigated the mutagenic effects of UV radiation on growth yield
agronomic and mutation tolerance of six maize cultivars Maize seeds were exposed to UV radiation and planted in 7 kg soils in the
polythene bags while unexposed served as control The effect of UV radiation on the first order interaction between weeks after
planting (WAP) and treatments was only significant (plt005) on plant height The interaction between treatments and cultivars also
produced significant effect on all growth characters except leaf width There was reduction in growth characters at 8 and 10 WAP for
number of leaves and at 10 WAP for plant height leaf length and leaf width All the growth and agronomic characters at 100 minutes
of UV radiation were significantly higher (plt005) than other exposure periods The exposure period of stover weight at 100 minutes
were significantly higher (plt005) than other periods while grain weight and total number of grains at 20 minutes exposure
significantly higher but not different from control The height of ARTOB98SW1 was significantly higher than other cultivars
ARTOB98SW6 10ndash1ndashY and ARTOB98SW1 were the most tolerant cultivars to the mutagenic effect of the UV radiation OBA
98 had the most significant genotypic effect for yield characters while the genotypic influence on plant stand plant aspect mutation
tolerance and plant harvest was highly significant The grain weight per stand for OBA 98 and ARTOB98SW1 were significantly
(plt005) higher than other cultivars while the total number of grains for ART0B98SW1 and ARTOB98SW6 were significantly
higher and different from other cultivars ARTOB98SW6 had the least values of days to plant emergence mutation tolerance and
other agronomic characters compared to other cultivars The plant height was positive and strongly correlated (plt001) with leaf
length leaf width and number of leaves with r = 095 096 089 respectively Only the periods of exposure of the UV radiation was
positive and strongly correlated with leaf width (r = 079) The association between the stover weight and periods of exposure was
positive and insignificant while the correlation between total numbers of grains and grain weight per stand was positive and strong (r
= 099) Therefore quality protein maize cultivars should be improved by introgression of favourable genes of drought tolerance
grain yield and related characters through induced mutation of UV radiation
Keywords Maize tolerance mutation ultraviolet radiation yield
1 Introduction
Maize (Zea mays L) is a tall monoecious and annual
nutritious plant of the family Poaceae which shares a
classification with other important agricultural crops
including wheat rice oats sorghum barley and
sugarcane (EllneskogndashStaam et al 2007 Bello and
Olaoye 2009 Olawuyi et al 2010 Fapohunda et al
2013 Bello et al 2014abc) There are five species in
the genus of Zea with chromosome number of 2n=20
except Zea perennis (Perennial teosinte with 2n=40)
(Rierandashlizarazu et al 1996 CIMMYT 2003
Singletary et al 2003 Rabinowicz and Bennetzen
2006) Maize is characterized by a wider genetic base
and adapt to wide range of changes in the environment
Maize possesses diverse morphological and
physiological characters resulting from a wide genetic
base available for selection (Paliwal 2000 White et
al 2000 Srinivasan et al 2004 Mano et al 2005
Bello et al 2011 2012 Olawuyi et al 2015)
Mutation is a heritable sudden change in gene
structure which opposes the wild characteristics The
abnormal changes in genetic materials alter the DNA
sequence of purine and pyrimidine base pairs
Mutation could result in death of cells ranges in size
from a single DNA building block to a large segment of a chromosome (Beadle and Tatum 1959 Mertz et
al 1964 Misra et al 1972 Mochida et al 2004
Messing and Dooner 2006) Mutation plant breeding
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2
methods had been used in many fields as
Biotechnology Cytogenetics and Molecular Biology
(Javed et al 2016) Mutation breeding in maize
encompasses a number of approaches including
spontaneous mutation tissuendashculture induced
mutation (somaclonal variation) chemical
mutagenesis transposon mutagenesis and irradiation
mutagenesis (Anderson and Georgeson 1989
Newhouse et al 1991 Tan et al 2005) Induced
mutation including gammandashrays physical and
chemical mutagens are prime methods for developing
high genetic variability in yields early maturity and
other characters in crops such as cereals and fruits
(Acharya et al 2007 Javed et al 2016) The
mutagenic effect can lead to chromosomal instability
breakages and rearrangement such as substitution
deletion and insertion of the bases which occur
through the modification of DNA sequence and could
enhance production of yield and other related
characters for selective breeding in crops (Boyer and
Hannah 1994 Ahloowalia et al 2004 Shah et al
2008)
Ultraviolet (UV) light is a physical mutagen and
electromagnetic radiation that causes adverse effect to
genetic makendashup of organisms of which plants are
included It has a shorter wavelength than visible light
but longer than Xndashray UV lights had been classified
into three bands based on their wavelengths as
absorption maximum for nucleic acid and protein viz
i UV light A (320 nm to 400 nm) ii UV light B (290
nm to 320 nm) and iii UV light C (200 nm to 280 nm)
UV light A is subdivided into UV A1 (340nm to 400
nm) and UV A2 (320 nm to 340 nm) (Caldwell et al
2011 Tanigawa et al 2011)
UV light has strong genotoxic effect to induce
mutations of which Sun ray is the major natural source
UV rays induced mutation by causing inactivation of
plant genome as UVndashsignature and triplet mutations
The diversity of soil environments and climatic
conditions as well as biotic stresses had created the
basis for the development of mutant varieties of maize
Based on the foregoing assessment of gene expression
of individual response genes to UV radiation in maize
is very imperative This study therefore investigated
the mutagenic response of maize to exposure periods
of UV radiation on growth yield mutation tolerance
and agronomic characters
2 Materials and Methods
21 Germplasm
Six maize cultivars were used for the experiment
Three quality protein maize (ARTOB98SW6 OBA
98 ARTOB98SW1) were collected from the
Institute of Agricultural Research and Training (IAR
amp T) Ibadan Nigeria Cultivar 10ndash5ndashW was sourced
from the National Centre for Genetic Resource and
Biotechnology (NACGRAB) Ibadan Nigeria
Cultivar 3ndash1ndash4 was obtained at Ado Ekiti Nigeria
while Cultivar 10ndash1ndashY was acquired at Ago Iwoye
Nigeria (Table 1)
22 Source of ultraviolet radiation
The ultraviolet (UV) light source used was an UV
lamp B (320 nm to 290 nm) at the Department of
Physiotherapy University College Hospital Ibadan
Nigeria The seeds were spread in the Petri dishes and
exposed to UV lamp at a distance of 22 m The time of
exposure was varied at intervals of 20 minutes The
treatments were 0 20 40 60 80 100 minutes while
0 minute served as control
Table 1 Sources and collection of maize cultivars
Maize cultivars Sources
ARTOB98SW6 Quality protein maize IAR
amp T Ibadan Nigeria
OBA 98 Quality protein maize IAR
amp T Ibadan Nigeria
ARTOB98SW1 Quality protein maize IAR
amp T Ibadan Nigeria
10ndash5ndashW NACGRAB Ibadan
Nigeria
3ndash1ndash4 Ado Ekiti Nigeria
10ndash1ndashY Ago Iwoye Nigeria
23 Soil preparation
The polythene pots were filled with loam soil of 7 kg
and holes were punched at the bottom to allow
aeration and drainage of excess water from the pot
24 Experimental site and design
The experiment was conducted in screen house of the
Department of Botany Nursery Farm University of
Ibadan The site is situated within the tropical rain
forest region of Nigeria (Latitude 70o 30rsquoN Longitude
30o 54rsquoE) The polythene pots were arranged in a
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3
complete randomized design with three replications
25 Planting and cultural practices
Two maize seeds per cultivar were planted per hole at
the depth of 15cm After two weeks thinning of one
plant per stand was applied Weeding was conducted
at weekly intervals while watering was done at
intervals of 3 days to field capacity
26 Data collection
Data were collected on days to plant emergence
growth yield agronomic and mutation tolerance
characters Growth characters evaluated were plant
height leaf length leaf width number of leaves
tasseling length and stem girth Yield characters
assessed were stover weight and grain weight per
stand Stover weight was determined using weighing
balance while total number of grains was estimated
by visual counting of the grains Agronomic
characters include plant stand plant aspect mutation
tolerance ear aspect plant husk cover ear harvest
plant harvest Mutation tolerance scores ranges
between 1 and 9 Highly tolerance to mutation scores
from 1ndash3 moderately tolerant 4ndash6 while highly
susceptible to mutation was scored 9 Other
agronomic and drought tolerance characters ranged
between 1 and 5 in which one is excellent 2 is good
3 is fairly good 4 is fair while 5 is poor
27 Data analysis
The data were statistically analyzed using the SAS
software program version 92 (SAS Institute 2009
Version 5) Analysis of variance (ANOVA) was
computed while the means were separated by
Duncanrsquos Multiple Range Test (DMRT) The
relationship among the growth characters stages of
growth agronomic characters mutagenic tolerance
exposure periods and yield of maize cultivars were
also determined using Pearson correlation coefficient
Table 2 Mean square effect of ultraviolet radiation (UV) on growth characters of maize
Source of variation df Plant height Leaf length Leaf width Number of
leaves
Intercept 1 253690942 104711879 317115 1540261
Replicate 2 188320ns 52680ns 183ns 902ns
WAP 4 5390389 1912166 4729 15831
Treatment 5 875818 328804 905 5187
Cultivars 5 1444233 665155 1487 4249
ReplicateWAP 8 61044ns 24083ns 062ns 312ns
ReplicateTreatment 10 411753 135736ns 584 2123
ReplicateCultivars 10 210000ns 77119ns 173ns 730ns
WAPTreatment 20 292112 70901ns 298ns 1127ns
WAPCultivars 20 559066 214595 595 2025
TreatmentCultivars 25 299207 135855 351ns 1421
WAPTreatmentCultivars 100 140140ns 50245ns 152ns 742ns
ReplicateWAPTreatmentCultivars 325 155489ns 56836ns 165ns 647ns
Error 10 96097 48327 177 490
Total 545
plt 001 highly significant plt005 significant ns= non significant
3 Results
Table 2 shows that the mean square effect of
ultraviolet (UV) radiation on growth stages exposure
periods and cultivars produced highly significant
(plt001) effects on the growth characters The first
order interaction of replicates and treatments had
significant effect on growth characters except leaf
length Again the effect of UV radiation on first order
interaction between weeks after planting (WAP) and
treatments was only significant (plt005) on plant
height but not significant on other growth characters
The interaction between treatments and cultivars also
produced significant effects on all the growth
characters except leaf width The effect of UV
radiation on WAP and cultivars was significant
(plt001 and plt005) on plant height leaf length leaf
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4
width and number of leaves (Table 2)
Table 3 shows that the exposure periods of UV
radiation was significantly (plt001) higher on plant
husk but significantly (plt005) affected ear aspect
ear harvest and plant harvest while days to plant
emergence plant stand plant aspect and mutation
tolerance did not differ The genotypic influence on
plant stand plant aspect mutation tolerance and plant
harvest however was highly significant (Table 3)
Table 4 shows that the cultivars produced significant
effect on stover weight but not differed significantly
for grain weight per stand and total number of grains
The effect of the treated maize cultivars at varied
exposure periods was unaffected by differences in
yield characters Table 5 shows that there are
variations in performance of growth characters in
maize under varied exposure periods of UV radiation
All the growth and agronomic characters at 100
minutes were significantly higher (plt005) than other
exposure periods On the other hand the periods at 20
40 and 60 minutes as well as control did not differ
significantly for plant height and leaf length Also the
mean number of leaves at 60 and 80 minutes were not
significantly different
Table 3 Mean square effect of UV radiation on agronomic characters of maize
Source of variation
df Days to
plant
emergence
Plant
stand
Plant
aspect
Mutation
tolerance
Ear
aspect
Plant
husk
Ear
harvest
Plant
harvest
Corrected model 12 879 507 400ns 1513 708 820 736 1157
Intercept 12 202800 35934 30334 80033 18934 24001 24300 36300
Replicate 2 075ns 123ns 140ns 286ns 207ns 112ns 536ns 411ns
Periods of exposure 5 349ns 079ns 103ns 267ns 783 1161 600 1256
Cultivars 5 1731 1088 777 3251 834 763 951 1358
Error 95 289 252 239 646 268 249 300 337
Total 108
Corrected total 107
plt001 highly significant plt 005 significant ns= nonndashsignificant
Table 4 Mean square effect of UV radiation on yield characters of maize
Source of variation df Stover weight (g) Grain weight per stand (g) Total number of grains
Corrected Model 12 958 148ns 3272ns
Intercept 1 17777 606 12675
Replicates 2 548ns 067ns 1769ns
Periods of exposure to UV
radiation
5 780ns 119ns 2657ns
Cultivars 5 12995 209ns 4488ns
Error 95 470 097 2160
Total 108
Corrected Total 107
plt001 highly significant plt 005 significant ns= nonndashsignificant
Table 5 Growth performance of maize under varied exposure periods of UV radiation
Exposure periods of UV radiation (minutes) Plant height (cm) Leaf length (cm) Leaf width Number of
leaves
0 (control) 5622c 3672c 202d 437d
20 7259ab 4617ab 253abc 542bc
40 7571ab 4655ab 274ab 599ab
60 5812c 3696c 210cd 473cd
80 6524bc 4429bc 229bcd 502cd
100 8086a 5218a 279a 642a
Means with the same letter in the same column are not significantly different at pgt 005 using Duncanrsquos multiple range test
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5
Table 6 shows that there were significant effect
(plt005) of different exposure periods of UV radiation
on days to plant emergence ear aspect plant husk ear
harvest and plant harvest while plant stand plant
aspect and mutation tolerance produced similar effect
The period of exposure at 100 minutes was higher and
highly tolerant than other exposures for days to plant
emergence mutation tolerance and other agronomic
characters The ear aspect at 40 and 80 minutes as
well as control and 60 minutes were not significantly
different Table 7 shows that the exposure period of
stover weight at 100 minutes is significantly higher
(plt005) than other periods while grain weight and
total number of grains at 20 minutes are significantly
higher but not different from the control The periods
of exposure at 40 and 60 minutes as well as 80 and
100 minutes did not differ from each other for grain
weight and total number of grains Table 8 shows that
all the growth characters in Cultivar ARTOB98SW1
are significantly higher than other cultivars The leaf
length leaf width and number of leaves of
ARTOB98SW1 were not significantly different from
10ndash5ndashW The number of leaves for 3ndash1ndash4 was not
significantly different from 10ndash5ndashW and
ARTndashOBndash98ndashSW1 OBA 98 had significant reduction
in mean values for all the growth characters but not
different from the plant height of 10ndash1ndashY The height
status for OBA 98 and 10ndash1ndashY as well as the leaf
length and leaf width for 10ndash1ndashY and
ARTOB98SW6 were not significantly different
from one another On the other hand
ARTOB98SW6 was outstanding for days to
emergence and other agronomic characters compared
to other cultivars while 10ndash5ndashW was the worst
ARTOB98SW6 10ndash1ndashY and ARTOB98SW1
were the most tolerant cultivars to mutagenic effect of
UV radiation while 3ndash1ndash4 was most susceptible
There was an excellent contribution of genotypic
effect on ear aspect plant husk ear harvest and plant
harvest for all the cultivars though
Table 6 Different exposure periods of UV radiation on mutation tolerance and agronomic character of maize
Exposure
periods of UV
radiation
( minutes)
Days to
plant
emergence
Plant stand Plant
aspect
Mutation
tolerance
Ear aspect Plant husk Ear harvest Plant
harvest
0 439ab 156ab 144ab 222ab 033c 106ab 100ab 100b
20 433ab 172ab 139ab 239ab 078b 111ab 167ab 194b
40 411ab 106ab 159ab 211ab 167ab 167ab 211a 283ab
60 428ab 167ab 156ab 256ab 033c 056b 061b 067c
80 378b 189ab 189ab 294ab 172ab 167ab 167ab 217ab
100 511a 361a 249a 411a 211a 289a 294a 339a
Means with the same letter in the same column are not significantly different at plt 005 using Duncanrsquos multiple range test
Mutational tolerance Highly tolerant 1ndash3 moderately tolerant 4ndash6 moderately susceptible 7ndash8 highly susceptible 9 Drought
tolerant rating 1 is excellent 2 is good 3 is fairly good 4 is fair 5 is poor
Table 7 Effect of different exposure periods of UV radiation on the yield characters of maize
Periods of exposure of UV radiation
(minutes)
Stover weight(g) Grain weight per stand (g) Total number of grains
0 121ab 049a 239a
20 147ab 063a 283a
40 123ab 003c 006c
60 023c 002c 006c
80 127ab 011b 061b
100 229a 015b 056b
Means with the same letters in the same column are not significantly different at pgt005 using Duncanrsquos multiple range test
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6
Table 8 Genotypic effect on growth characters of maize
Cultivars Plant height(cm) Leaf length(cm) Leaf width Number of leaves
Oba 98 5312d 3316c 182c 421c
10ndash1ndashY 5835d 3761bc 220bc 479bc
ARTOB98SW6 6122cd 3943bc 221bc 531ab
3ndash1ndash4 6991bc 4471b 256ab 574a
10ndash5ndashW 7944ab 5255a 271a 580a
ARTOB98SW1 8658a 5536a 297a 606a
Means with the same letter in the same column are not significantly different at pgt005 using Duncanrsquos multiple range tests (DMRT)
better than OBA 98 (Table 9) Table 10 shows
significant differences (plt005) in genotypic effect on
the yield characters of maize The mean values of
stover weight for ARTOB98SW1 and
ARTOB98SW6 were not significantly different
from each other The grain weight per stand for OBA
98 and ARTOB98SW1 were not significantly
different but higher and different from other maize
cultivars The cultivars 10ndash5ndashW and 10ndash1ndashY for grain
weight per stand were not different from each other
but higher and significantly different from cultivar
3ndash1ndash4 The total number of grains for
ART0B98SW1 and ARTOB98SW6 were
significantly (plt005) higher but different from other
cultivars The plant height was positive and strongly
correlated (plt001) with leaf length leaf width and
number of leaves with r = 095 096 089 respectively
The associations among plant height treatments and
cultivars were positively insignificant (Table 11) The
leaf width was positive and strongly related with plant
height and leaf length with r = 095 and 094
respectively There were strong positive associations
between number of leaves and plant height leaf length
and leaf width with r = 089 089 and 095
respectively Only the periods of exposure was
positive and strongly correlated with leaf width (r =
079) (Table 11)
Table 9 Genotypic effect on agronomic characters and mutation tolerance of maize
Cultivars
Days to
plant
emergence
Plant
stand
Plant
aspect
Mutation
Tolerance
Ear
aspect
Plant
husk Ear harvest
Plant
harvest
ARTOB98SW6 244b 100c 083c 133c 050c 089c 067c 078c
OBA98 444a 211b 194abc 306b 250a 261a 278a 333a
ARTOB98SW1 422a 144c 139bc 194c 156ab 189ab 178ab 222ab
(10ndash5ndashW) 506a 194c 200ab 311b 089c 139b 106b 144bc
(3ndash1ndash4) 500a 317a 267a 506a 122b 106b 133b 156bc
(10ndash1ndashY) 483a 128c 122bc 183c 128b 111b 139b 167bc
Means with different letters in the same column are not significantly different at plt005
Table 10 Effect of cultivars on the yield characters of maize
Cultivars Stover weight(g) Grain weight
per stand(g)
Total number
of grains
ART OB98SW6 178ab 075a 300a
OBA98 255a 071a 289ab
ARTOB98SW1 190ab 064ab 333a
10ndash5ndashW 060bc 006b 022b
3ndash1ndash4 024c 000c 000c
10ndash1ndashY 103b 001b 006bc
Means with the same letter in the same column are not significantly different at plt005 using Duncanrsquos multiple range test
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7
Table 11 Correlation matrix of growth characters of maize
Plant
height
Leaf
length
Leaf
width
Number of
leaves Replicates WAP Treatment
Plant height
Leaf length 095
Leaf width 096 094
Number of leaves 089 089 093
Replicate 003 ndash002 ndash004 ndash004
WAP 035 022 027 017 003
Treatment 009 011 079 013 003 002
Cultivars 002 003ns 006 011 007 002 004
plt001 plt005 Treatment = Periods of exposure
Table 12 shows that there was positive and strong
associations between plant stand with plant aspect and
mutation tolerance at r = 096 and 097 respectively
while negative and strong relationship existed between
plant stand and replicates with r = ndash075 Also plant
stand was positive and strongly related with periods of
exposure and plant aspect at r = 076 and 096
respectively There were significant and positive
correlations between ear harvest and ear aspect (r =
059) plant husk (r = 061) as well between plant
husk and ear aspect (r = 082) while the associations
between plant harvest and ear aspect (r = 057) plant
husk (r = 064) and ear harvest (r = 090) were strong
and positive (Table 12) The association between the
stover weight and periods of exposure is positive and
insignificant while the correlation between total
number of grains and grain weight per stand was
positive and strong (r = 099) The association
between the periods of exposure and grain weight per
stand total number of grain was negative and
significant with r = ndash046 and ndash048 respectively The
cultivars are positive and strongly related with the
periods of exposure at r = 070 (Table 12) The
correlation between total number of grains and grain
weight per stand however was positive and significant
with r = 099 (Table 13)
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8
Table 12 Correlation matrix of the agronomic characters of maize
Replicates Day to plant
emergence
Cultivars Periods of
exposure
Plant
stand
Plant aspect Mutation
tolerance
Ear
aspect
Plant
husk
Ear
harvest
Plant
harvest
Replicates
Days to plant
emergence
005
Cultivars 000 038
Periods of exposure 000 006 000
Plant stand ndash075 039 015 076
Plant aspect ndash036 036 015 010 096
Mutation tolerance ndash003 037 017 010 097 096
Ear aspect ndash011 016 ndash002 015 026 024 020
Plant husk ndash007 023 ndash011 027 024 022 018 082
Ear harvest ndash014 022 ndash009 009 021 015 017 059 061
Plant harvest ndash012 022 ndash039 013 025 018 017 057 064 090
Highly significant at plt001 Significant at plt005
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9
Table 13 Correlation matrix of yield characters of six cultivars of maize
Stover weight Grain weight per stand Total number of
grains
Replicate Periods of exposure
Stover weight
Grain weight per stand 014
Total number of grains 015 099
Replicates 006 ndash01 ndash011
Periods of exposure 008 ndash016 ndash016 000
Cultivars ndash021 ndash013 ndash012 000 000
4 Discussion
The reduction in the growth characters at 8 and 10
WAP for number of leaves and 10 WAP for plant
height leaf length and leaf width could be due to
mutagenic effect of UV radiation on maize as
similarly reported by Teramura (1983) There were
variations in the contribution of the genotypic effect
on growth performance of maize ARTOB98SW1
showed greater tolerance to the mutagenic effect of
the UV radiation while OBA 98 could not tolerate the
varied exposure periods This could be due to the
differences in the genetic makendashup of the maize
cultivars The performance of ARTOB98SW1 and
ART0B98SW6 could also be attributed to the high
quality protein contents in maize (Olakojo 2004
Olaoye et al 2009 Bello et al 2014a) The least
mean values of days to plant emergence for
ARTOB98SW1 compared to 10ndash5ndashW and other
cultivars showed that they have early maturity traits as
similarly reported by Olawuyi et al (2010 2013)
This could be due to presence of early and maturing
genes present in the quality protein maize
ARTOB98SW6 10ndash1ndashY and ARTOB98 SW1 had
higher tolerance to mutagenic effect of UV radiation
This could be due to the presence of tolerant genes
present in the maize cultivars Olakojo and Kogbe
(2003) Olawuyi et al (2011) and Bello et al (2014b)
had earlier reported tolerance of quality protein maize
cultivars to Stiga lutea and resistance to drought
Maize grain weight and total number of grains at 20
minutes and control showed the best tolerance to UV
radiation compared to other periods Though the
performance of stover weight at 100 minutes as well
as at 80 and 100 minutes for grain weight and total
number of grains could be due to the contribution of
the mutation tolerant gene present in some of the
cultivars particularly the quality protein maize OBA
98 and ARTOB98SW1 performed appreciably in all
the yield characters compared to other cultivars The
superior performance of these cultivars revealed their
tolerant potential to the mutagenic effect of the UV
radiation
5 Conclusion and recommendations
The quality protein maize cultivars not only showed
greater tolerance to mutagenic effect of the UV
radiation but were outstanding in grain yield
compared to other cultivars It appears that the effect
on exposure to UV radiation did not have deleterious
effect on the growth and agronomic characters of
maize but cause reduction in grain yield on exposure
to UV radiation at longer periods Therefore quality
protein maize cultivars should be improved by
introgression of favourable genes of drought tolerance
grain yield and related characters through induced
mutation of UV radiation The characters evaluated
from correlation analysis should further be
encouraged and explored in the breeding programmes
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Advances in medicinal plant researchResearch Signpost
Trivandrum Kerala India
Ahloowalia BS Maluszynski M and Nichterlein K 2004 Global
impact of mutation derived varieties Euphytica 135 187ndash204
Anderson PC and Georgeson M 1989 Herbicidendashtolerant mutants of
corn Genome 31 994ndash999
Beadle GW and Tatum EL 1941 Genetic control of biochemical
reactions in Neurospora PNAS 27 (11) 499ndash506
Bello OB and Olaoye G (2009) Combining ability for maize grain yield
and other agronomic characters in a typical southern Guinea savanna
ecology of Nigeria African Journal of Biotechnology 8(11) 2518 ndash
2522
httpwwwacademicjournalsorgjpbcsPDFpdf2009 JuneOlaoye 20and20Bellopdf
Bello OB Afolabi MS Ige SA Abdulmaliq SY Azeez M A and
Molecular Plant Breeding 2016 Vol7 No01 1ndash10
httpmpbbiopublisherca
10
Mahamud J 2011 Yield Response of diallelic crossed maize (Zea
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of BiondashSciences 19 43ndash52
httpwwwBanglajolInfoIndexPhpJbsIndex
Bello OB Abdulmaliq SY Ige SA Mahamood J Oluleye F Azeez
MA and Afolabi MS 2012 Evaluation of early and
late intermediate maize varieties for grain yield potential and
adaptation to a southern Guinea savanna agrondashecology of Nigeria
Scholarly Journal of Agricultural Science 2(3) 42ndash51 http
wwwscholarlyndashjournalscomSJAS
Bello OB Olawuyi OJ Ige SA Mahamood J Afolabi MS Azeez
MA and Abdulmaliq SY 2014a Agrondashnutritional variations of
quality protein maize (Zea mays L) in Nigeria Journal of
Agricultural Sciences 59(2) 101ndash116
httpwwwdoiserbianbrsftaspxid=1450ndash81091
402101B 11
Bello OB Olawuyi OJ Abdulmaliq SY Ige S A Mahamood J
Azeez M A and Afolabi MS 2014b Yield performance and
adaptation of early and intermediate droughtndashtolerant maize
cultivars in Guinea savanna of Nigeria Sarhad Journal of
Agriculture 30(1) 53ndash66
httpwwwbanglajolinfoindexphpJBSindex
Bello OB Olawuyi OJ Lawal M Ige SA Mahamood J Afolabi
MS Azeez M A and Abdulmaliq SY 2014c Genetic gains in
three breeding eras of maize hybrids under low and optimum
nitrogen fertilization Journal of Agricultural Sciences 59(3)
227ndash242
httpwwwjoasagrifbgacrssitesjoasagrifbgacrsfilesarticlepdf
379ndash02ndash690_bello_et_alpdf 6
Boyer CD Hannah LC 1994 Kernel mutants of corn Chapter 1 In
AR Hallauer ed Specialty corns CRC Press Inc Boca Raton
USA pp 1ndash28
Caldwell K Henshaw L and Taylor G 2011 Developing a framework
for Critiquing health research Nursing Fires 103(17) 32ndash33
CIMMYT 2003 The development and promotion quality protein
maize in subndashSaharan Africa Progress report submitted to Nippon
Foundation Harare Zimbabawe
EllneskogndashStaam P Henry Loaisiga C Merker A 2007 Chromosome
Cndashbanding of the teosinte Zea nicaraguensis and comparison to other
Zea species Hereditas 144 96ndash101
Fapohunda SO Olawuyi OJ Bello OB and Lawal T 2013
Comparative shoot responses of two Nigerian crops to Glomus
clarum and other fertilizers Greener Journal of Agricultural
Sciences 3(4) 280ndash285
httpwwwgjournalsorgGJASGJAS20Pdf
Fapohunda20et20alpdf
Javed I Ahsan M Ahmad HM and Ali Q 2016 Role of mutation
breeding to improve Mungbean (Vigna radiata L Wilczek) yield An
overview Nature Science 14(1) 63ndash77
httpwwwsciencepubnetnature 9 doi107537marsnsj14011609
Mano Y Omori F Muraki M and Takamizo T 2005 QTL mapping of
adventitious root formation under flooding conditions in tropical maize
(Zea mays L) seedlings Breeding Science 55 343ndash347
httpdxdoiorg101270jsbbs55343
Mertz ET Bates LS and Nelson OE 1964 Mutant gene that changes
protein composition and increases lysine content of maize endosperm
Science 145 279ndash280
httpdxdoiorg101126science1453629279
Messing J and Dooner HK 2006 Organization and variability of the
maize genome Current Opinion in Plant Biology 9(2) 157ndash163
httpdxdoiorg101016jpbi200601009
Misra PS Jambunathan R Mertz ET Glover DV Barbosa HM and
McWhirter KS 1972 Endosperm protein synthesis in maize mutants
with increased lysine content Science 176(4042) 1425ndash1427
httpdxdoiorg101126science17640421425
Mochida K Tsujimoto H and Sasakuma T 2004 Confocal analysis of
chromosome behavior in wheat x maize zygotes Genome 47(1)
199ndash205 httpdxdoiorg101139g03ndash123
Newhouse K Singh B Shaner D Stidham M 1991 Mutations in corn
(Zea mays L) conferring resistance to imidazolinone herbicides
Theoretical and Applied Genetics 83 65ndash70
Olakojo SA and Kogbe JOS 2003 Reaction of maize to infestation
with the witch weed (Striga lutea) Moor Journal of Agricultural
research 4210ndash217
Olakojo SA 2004 Evaluation of maize inbred lines for tolerance to
Striga lutea in southern guinea savanna ecology Food agriculture
and Environment 2 256ndash259
Olaoye G Bello OB Ajani AK Ademuwagun T K 2009 Breeding
for improved organoleptic and nutritionally acceptable green maize
varieties by crossing sweet corn (Zea mays saccharata) Changes in
quantitative and qualitative characteristics in F1 hybrids and F2
population Journal of plant breeding and Crop science 1(9)
298ndash305
httpwwwacademicjournalsorgjpbcsPDFpdf2009
NovemberOlaoye20et20alpdf
Olawuyi OJ Odebode AC AlfarndashAbdullahi A Olakojo SA and
Adesoye AI 2010 Performance of maize cultivars and
arbuscularmycorrhizal fungi in Samara district of South west region of
DohandashQatar Nigeria journal of mycology 3(1) 86ndash100
Olawuyi OJ Odebode AC Olakojo SA and Adesoye AI 2011 Host
parasite relationship of maize (Zea mays L) and Strigalutea(Lour) as
influenced by Arbuscular mycorrhizal fungi Journal of Science
research 10(2)186ndash198
Olawuyi OJ Odebode AC and Olakojo SA 2013 Cultivar treatments
concentration interaction and characters association in maize (Zea
mays L) under Arbuscular mycorrhizal fungi and Striga lutea (Lour)
In KnowndashNdung EH Ogah DM Yakubu A editors proceedings of
the 37th
Annual Conference of Genetics Society of Nigeria Oct 21ndash24
Lafia Federal University pp 210ndash223
Olawuyi OJ Bello OB Ntube CV and Akanmu AO 2015 Progress
from selection of some maize cultivarsrsquo response to drought in the
derived savanna of Nigeria AGRIVITA Journal of Agricultural
Science 37(1) 8ndash17
httpwwwagrivitaubacidindexphpagrivita
articleview485
Paliwal RL Granados G Lafitte HR Violic AD Maratheacutee JP 2000
Tropical Maize Improvement and Production Food and Agriculture
Organization of the United Nations Rome pp 1ndash3
Rabinowicz PD Bennetzen JL 2006 The maize genome as a model for
efficient sequence analysis of large plant genomes Current Opinion in
Plant Biology 9(2) 149ndash 156
httpdxdoiorg101016jpbi200601015
Molecular Plant Breeding 2016 Vol7 No01 1ndash10
httpmpbbiopublisherca
11
RierandashLizarazu O Rines HW and Phillips RL 1996 Cytological and
molecular characterization of oat x maize partial hybrids Theoretical
and Applied Genetics 93(1ndash2) 123ndash135
httpdxdoiorg101007BF00225737
Singletary GW 2003 Genetic modification of corn Chapter 21 In White
PJ Johnson LA eds Corn chemistry and technology Edition 2nd
American Association of Cereal Chemists Inc St Paul Minesota
USA pp 751ndash782
Srinivasan G Zaidi PH Singh NN and Sanchez C 2004 Increasing
productivity through genetic improvement for tolerance to drought and
excessndashmoisture stress in maize (Zea mays L) Seng V Craswell E
Fukai S and Fischer K eds Australian Centre for International
Agricultural Research Canberra pp 227ndash239
Shah TM Mirza JI Haq MA and Atta BM2008 Induced genetic
Tan S Evans RR Dahmer ML Singh BK Shaner DL 2005
Imidazolinonendashtolerant crops history current status and future Pest
Management Science 61 246ndash257
Tanigawa H Katsumi S Shunsuke F Norikazu O Tetsuhiro S Eji K
variability in chickpea (Cicer arietinum L) II Comparative
mutagenic effectiveness and efficiency of physical and chemical
mutagens Pakistan Journal of Botany 40 605ndash613
Teramura AH 1983 Effects of ultravioletndashB radiation on the growth and
yield of crop plants Physiologia Plantarum 58(3) 415ndash427
Statistical Application Software Institute (2009) Statistical Application
Software (SAS) system for windows version 92 Vol 5 SAS Institute
Cary NC USA
White CN Proebsting WM Hedden P Rivin CJ 2000 Gibberellins and
seeddevelopment in maize I Evidence that gibberellin abscisic acid
balance governs germination versus maturation pathways Plant
Physiology 122(4) 1081ndash1088
httpdxdoiorg101104pp12241081
Molecular Plant Breeding 2016 Vol7 No01 1ndash10
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2
methods had been used in many fields as
Biotechnology Cytogenetics and Molecular Biology
(Javed et al 2016) Mutation breeding in maize
encompasses a number of approaches including
spontaneous mutation tissuendashculture induced
mutation (somaclonal variation) chemical
mutagenesis transposon mutagenesis and irradiation
mutagenesis (Anderson and Georgeson 1989
Newhouse et al 1991 Tan et al 2005) Induced
mutation including gammandashrays physical and
chemical mutagens are prime methods for developing
high genetic variability in yields early maturity and
other characters in crops such as cereals and fruits
(Acharya et al 2007 Javed et al 2016) The
mutagenic effect can lead to chromosomal instability
breakages and rearrangement such as substitution
deletion and insertion of the bases which occur
through the modification of DNA sequence and could
enhance production of yield and other related
characters for selective breeding in crops (Boyer and
Hannah 1994 Ahloowalia et al 2004 Shah et al
2008)
Ultraviolet (UV) light is a physical mutagen and
electromagnetic radiation that causes adverse effect to
genetic makendashup of organisms of which plants are
included It has a shorter wavelength than visible light
but longer than Xndashray UV lights had been classified
into three bands based on their wavelengths as
absorption maximum for nucleic acid and protein viz
i UV light A (320 nm to 400 nm) ii UV light B (290
nm to 320 nm) and iii UV light C (200 nm to 280 nm)
UV light A is subdivided into UV A1 (340nm to 400
nm) and UV A2 (320 nm to 340 nm) (Caldwell et al
2011 Tanigawa et al 2011)
UV light has strong genotoxic effect to induce
mutations of which Sun ray is the major natural source
UV rays induced mutation by causing inactivation of
plant genome as UVndashsignature and triplet mutations
The diversity of soil environments and climatic
conditions as well as biotic stresses had created the
basis for the development of mutant varieties of maize
Based on the foregoing assessment of gene expression
of individual response genes to UV radiation in maize
is very imperative This study therefore investigated
the mutagenic response of maize to exposure periods
of UV radiation on growth yield mutation tolerance
and agronomic characters
2 Materials and Methods
21 Germplasm
Six maize cultivars were used for the experiment
Three quality protein maize (ARTOB98SW6 OBA
98 ARTOB98SW1) were collected from the
Institute of Agricultural Research and Training (IAR
amp T) Ibadan Nigeria Cultivar 10ndash5ndashW was sourced
from the National Centre for Genetic Resource and
Biotechnology (NACGRAB) Ibadan Nigeria
Cultivar 3ndash1ndash4 was obtained at Ado Ekiti Nigeria
while Cultivar 10ndash1ndashY was acquired at Ago Iwoye
Nigeria (Table 1)
22 Source of ultraviolet radiation
The ultraviolet (UV) light source used was an UV
lamp B (320 nm to 290 nm) at the Department of
Physiotherapy University College Hospital Ibadan
Nigeria The seeds were spread in the Petri dishes and
exposed to UV lamp at a distance of 22 m The time of
exposure was varied at intervals of 20 minutes The
treatments were 0 20 40 60 80 100 minutes while
0 minute served as control
Table 1 Sources and collection of maize cultivars
Maize cultivars Sources
ARTOB98SW6 Quality protein maize IAR
amp T Ibadan Nigeria
OBA 98 Quality protein maize IAR
amp T Ibadan Nigeria
ARTOB98SW1 Quality protein maize IAR
amp T Ibadan Nigeria
10ndash5ndashW NACGRAB Ibadan
Nigeria
3ndash1ndash4 Ado Ekiti Nigeria
10ndash1ndashY Ago Iwoye Nigeria
23 Soil preparation
The polythene pots were filled with loam soil of 7 kg
and holes were punched at the bottom to allow
aeration and drainage of excess water from the pot
24 Experimental site and design
The experiment was conducted in screen house of the
Department of Botany Nursery Farm University of
Ibadan The site is situated within the tropical rain
forest region of Nigeria (Latitude 70o 30rsquoN Longitude
30o 54rsquoE) The polythene pots were arranged in a
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3
complete randomized design with three replications
25 Planting and cultural practices
Two maize seeds per cultivar were planted per hole at
the depth of 15cm After two weeks thinning of one
plant per stand was applied Weeding was conducted
at weekly intervals while watering was done at
intervals of 3 days to field capacity
26 Data collection
Data were collected on days to plant emergence
growth yield agronomic and mutation tolerance
characters Growth characters evaluated were plant
height leaf length leaf width number of leaves
tasseling length and stem girth Yield characters
assessed were stover weight and grain weight per
stand Stover weight was determined using weighing
balance while total number of grains was estimated
by visual counting of the grains Agronomic
characters include plant stand plant aspect mutation
tolerance ear aspect plant husk cover ear harvest
plant harvest Mutation tolerance scores ranges
between 1 and 9 Highly tolerance to mutation scores
from 1ndash3 moderately tolerant 4ndash6 while highly
susceptible to mutation was scored 9 Other
agronomic and drought tolerance characters ranged
between 1 and 5 in which one is excellent 2 is good
3 is fairly good 4 is fair while 5 is poor
27 Data analysis
The data were statistically analyzed using the SAS
software program version 92 (SAS Institute 2009
Version 5) Analysis of variance (ANOVA) was
computed while the means were separated by
Duncanrsquos Multiple Range Test (DMRT) The
relationship among the growth characters stages of
growth agronomic characters mutagenic tolerance
exposure periods and yield of maize cultivars were
also determined using Pearson correlation coefficient
Table 2 Mean square effect of ultraviolet radiation (UV) on growth characters of maize
Source of variation df Plant height Leaf length Leaf width Number of
leaves
Intercept 1 253690942 104711879 317115 1540261
Replicate 2 188320ns 52680ns 183ns 902ns
WAP 4 5390389 1912166 4729 15831
Treatment 5 875818 328804 905 5187
Cultivars 5 1444233 665155 1487 4249
ReplicateWAP 8 61044ns 24083ns 062ns 312ns
ReplicateTreatment 10 411753 135736ns 584 2123
ReplicateCultivars 10 210000ns 77119ns 173ns 730ns
WAPTreatment 20 292112 70901ns 298ns 1127ns
WAPCultivars 20 559066 214595 595 2025
TreatmentCultivars 25 299207 135855 351ns 1421
WAPTreatmentCultivars 100 140140ns 50245ns 152ns 742ns
ReplicateWAPTreatmentCultivars 325 155489ns 56836ns 165ns 647ns
Error 10 96097 48327 177 490
Total 545
plt 001 highly significant plt005 significant ns= non significant
3 Results
Table 2 shows that the mean square effect of
ultraviolet (UV) radiation on growth stages exposure
periods and cultivars produced highly significant
(plt001) effects on the growth characters The first
order interaction of replicates and treatments had
significant effect on growth characters except leaf
length Again the effect of UV radiation on first order
interaction between weeks after planting (WAP) and
treatments was only significant (plt005) on plant
height but not significant on other growth characters
The interaction between treatments and cultivars also
produced significant effects on all the growth
characters except leaf width The effect of UV
radiation on WAP and cultivars was significant
(plt001 and plt005) on plant height leaf length leaf
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4
width and number of leaves (Table 2)
Table 3 shows that the exposure periods of UV
radiation was significantly (plt001) higher on plant
husk but significantly (plt005) affected ear aspect
ear harvest and plant harvest while days to plant
emergence plant stand plant aspect and mutation
tolerance did not differ The genotypic influence on
plant stand plant aspect mutation tolerance and plant
harvest however was highly significant (Table 3)
Table 4 shows that the cultivars produced significant
effect on stover weight but not differed significantly
for grain weight per stand and total number of grains
The effect of the treated maize cultivars at varied
exposure periods was unaffected by differences in
yield characters Table 5 shows that there are
variations in performance of growth characters in
maize under varied exposure periods of UV radiation
All the growth and agronomic characters at 100
minutes were significantly higher (plt005) than other
exposure periods On the other hand the periods at 20
40 and 60 minutes as well as control did not differ
significantly for plant height and leaf length Also the
mean number of leaves at 60 and 80 minutes were not
significantly different
Table 3 Mean square effect of UV radiation on agronomic characters of maize
Source of variation
df Days to
plant
emergence
Plant
stand
Plant
aspect
Mutation
tolerance
Ear
aspect
Plant
husk
Ear
harvest
Plant
harvest
Corrected model 12 879 507 400ns 1513 708 820 736 1157
Intercept 12 202800 35934 30334 80033 18934 24001 24300 36300
Replicate 2 075ns 123ns 140ns 286ns 207ns 112ns 536ns 411ns
Periods of exposure 5 349ns 079ns 103ns 267ns 783 1161 600 1256
Cultivars 5 1731 1088 777 3251 834 763 951 1358
Error 95 289 252 239 646 268 249 300 337
Total 108
Corrected total 107
plt001 highly significant plt 005 significant ns= nonndashsignificant
Table 4 Mean square effect of UV radiation on yield characters of maize
Source of variation df Stover weight (g) Grain weight per stand (g) Total number of grains
Corrected Model 12 958 148ns 3272ns
Intercept 1 17777 606 12675
Replicates 2 548ns 067ns 1769ns
Periods of exposure to UV
radiation
5 780ns 119ns 2657ns
Cultivars 5 12995 209ns 4488ns
Error 95 470 097 2160
Total 108
Corrected Total 107
plt001 highly significant plt 005 significant ns= nonndashsignificant
Table 5 Growth performance of maize under varied exposure periods of UV radiation
Exposure periods of UV radiation (minutes) Plant height (cm) Leaf length (cm) Leaf width Number of
leaves
0 (control) 5622c 3672c 202d 437d
20 7259ab 4617ab 253abc 542bc
40 7571ab 4655ab 274ab 599ab
60 5812c 3696c 210cd 473cd
80 6524bc 4429bc 229bcd 502cd
100 8086a 5218a 279a 642a
Means with the same letter in the same column are not significantly different at pgt 005 using Duncanrsquos multiple range test
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5
Table 6 shows that there were significant effect
(plt005) of different exposure periods of UV radiation
on days to plant emergence ear aspect plant husk ear
harvest and plant harvest while plant stand plant
aspect and mutation tolerance produced similar effect
The period of exposure at 100 minutes was higher and
highly tolerant than other exposures for days to plant
emergence mutation tolerance and other agronomic
characters The ear aspect at 40 and 80 minutes as
well as control and 60 minutes were not significantly
different Table 7 shows that the exposure period of
stover weight at 100 minutes is significantly higher
(plt005) than other periods while grain weight and
total number of grains at 20 minutes are significantly
higher but not different from the control The periods
of exposure at 40 and 60 minutes as well as 80 and
100 minutes did not differ from each other for grain
weight and total number of grains Table 8 shows that
all the growth characters in Cultivar ARTOB98SW1
are significantly higher than other cultivars The leaf
length leaf width and number of leaves of
ARTOB98SW1 were not significantly different from
10ndash5ndashW The number of leaves for 3ndash1ndash4 was not
significantly different from 10ndash5ndashW and
ARTndashOBndash98ndashSW1 OBA 98 had significant reduction
in mean values for all the growth characters but not
different from the plant height of 10ndash1ndashY The height
status for OBA 98 and 10ndash1ndashY as well as the leaf
length and leaf width for 10ndash1ndashY and
ARTOB98SW6 were not significantly different
from one another On the other hand
ARTOB98SW6 was outstanding for days to
emergence and other agronomic characters compared
to other cultivars while 10ndash5ndashW was the worst
ARTOB98SW6 10ndash1ndashY and ARTOB98SW1
were the most tolerant cultivars to mutagenic effect of
UV radiation while 3ndash1ndash4 was most susceptible
There was an excellent contribution of genotypic
effect on ear aspect plant husk ear harvest and plant
harvest for all the cultivars though
Table 6 Different exposure periods of UV radiation on mutation tolerance and agronomic character of maize
Exposure
periods of UV
radiation
( minutes)
Days to
plant
emergence
Plant stand Plant
aspect
Mutation
tolerance
Ear aspect Plant husk Ear harvest Plant
harvest
0 439ab 156ab 144ab 222ab 033c 106ab 100ab 100b
20 433ab 172ab 139ab 239ab 078b 111ab 167ab 194b
40 411ab 106ab 159ab 211ab 167ab 167ab 211a 283ab
60 428ab 167ab 156ab 256ab 033c 056b 061b 067c
80 378b 189ab 189ab 294ab 172ab 167ab 167ab 217ab
100 511a 361a 249a 411a 211a 289a 294a 339a
Means with the same letter in the same column are not significantly different at plt 005 using Duncanrsquos multiple range test
Mutational tolerance Highly tolerant 1ndash3 moderately tolerant 4ndash6 moderately susceptible 7ndash8 highly susceptible 9 Drought
tolerant rating 1 is excellent 2 is good 3 is fairly good 4 is fair 5 is poor
Table 7 Effect of different exposure periods of UV radiation on the yield characters of maize
Periods of exposure of UV radiation
(minutes)
Stover weight(g) Grain weight per stand (g) Total number of grains
0 121ab 049a 239a
20 147ab 063a 283a
40 123ab 003c 006c
60 023c 002c 006c
80 127ab 011b 061b
100 229a 015b 056b
Means with the same letters in the same column are not significantly different at pgt005 using Duncanrsquos multiple range test
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6
Table 8 Genotypic effect on growth characters of maize
Cultivars Plant height(cm) Leaf length(cm) Leaf width Number of leaves
Oba 98 5312d 3316c 182c 421c
10ndash1ndashY 5835d 3761bc 220bc 479bc
ARTOB98SW6 6122cd 3943bc 221bc 531ab
3ndash1ndash4 6991bc 4471b 256ab 574a
10ndash5ndashW 7944ab 5255a 271a 580a
ARTOB98SW1 8658a 5536a 297a 606a
Means with the same letter in the same column are not significantly different at pgt005 using Duncanrsquos multiple range tests (DMRT)
better than OBA 98 (Table 9) Table 10 shows
significant differences (plt005) in genotypic effect on
the yield characters of maize The mean values of
stover weight for ARTOB98SW1 and
ARTOB98SW6 were not significantly different
from each other The grain weight per stand for OBA
98 and ARTOB98SW1 were not significantly
different but higher and different from other maize
cultivars The cultivars 10ndash5ndashW and 10ndash1ndashY for grain
weight per stand were not different from each other
but higher and significantly different from cultivar
3ndash1ndash4 The total number of grains for
ART0B98SW1 and ARTOB98SW6 were
significantly (plt005) higher but different from other
cultivars The plant height was positive and strongly
correlated (plt001) with leaf length leaf width and
number of leaves with r = 095 096 089 respectively
The associations among plant height treatments and
cultivars were positively insignificant (Table 11) The
leaf width was positive and strongly related with plant
height and leaf length with r = 095 and 094
respectively There were strong positive associations
between number of leaves and plant height leaf length
and leaf width with r = 089 089 and 095
respectively Only the periods of exposure was
positive and strongly correlated with leaf width (r =
079) (Table 11)
Table 9 Genotypic effect on agronomic characters and mutation tolerance of maize
Cultivars
Days to
plant
emergence
Plant
stand
Plant
aspect
Mutation
Tolerance
Ear
aspect
Plant
husk Ear harvest
Plant
harvest
ARTOB98SW6 244b 100c 083c 133c 050c 089c 067c 078c
OBA98 444a 211b 194abc 306b 250a 261a 278a 333a
ARTOB98SW1 422a 144c 139bc 194c 156ab 189ab 178ab 222ab
(10ndash5ndashW) 506a 194c 200ab 311b 089c 139b 106b 144bc
(3ndash1ndash4) 500a 317a 267a 506a 122b 106b 133b 156bc
(10ndash1ndashY) 483a 128c 122bc 183c 128b 111b 139b 167bc
Means with different letters in the same column are not significantly different at plt005
Table 10 Effect of cultivars on the yield characters of maize
Cultivars Stover weight(g) Grain weight
per stand(g)
Total number
of grains
ART OB98SW6 178ab 075a 300a
OBA98 255a 071a 289ab
ARTOB98SW1 190ab 064ab 333a
10ndash5ndashW 060bc 006b 022b
3ndash1ndash4 024c 000c 000c
10ndash1ndashY 103b 001b 006bc
Means with the same letter in the same column are not significantly different at plt005 using Duncanrsquos multiple range test
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7
Table 11 Correlation matrix of growth characters of maize
Plant
height
Leaf
length
Leaf
width
Number of
leaves Replicates WAP Treatment
Plant height
Leaf length 095
Leaf width 096 094
Number of leaves 089 089 093
Replicate 003 ndash002 ndash004 ndash004
WAP 035 022 027 017 003
Treatment 009 011 079 013 003 002
Cultivars 002 003ns 006 011 007 002 004
plt001 plt005 Treatment = Periods of exposure
Table 12 shows that there was positive and strong
associations between plant stand with plant aspect and
mutation tolerance at r = 096 and 097 respectively
while negative and strong relationship existed between
plant stand and replicates with r = ndash075 Also plant
stand was positive and strongly related with periods of
exposure and plant aspect at r = 076 and 096
respectively There were significant and positive
correlations between ear harvest and ear aspect (r =
059) plant husk (r = 061) as well between plant
husk and ear aspect (r = 082) while the associations
between plant harvest and ear aspect (r = 057) plant
husk (r = 064) and ear harvest (r = 090) were strong
and positive (Table 12) The association between the
stover weight and periods of exposure is positive and
insignificant while the correlation between total
number of grains and grain weight per stand was
positive and strong (r = 099) The association
between the periods of exposure and grain weight per
stand total number of grain was negative and
significant with r = ndash046 and ndash048 respectively The
cultivars are positive and strongly related with the
periods of exposure at r = 070 (Table 12) The
correlation between total number of grains and grain
weight per stand however was positive and significant
with r = 099 (Table 13)
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8
Table 12 Correlation matrix of the agronomic characters of maize
Replicates Day to plant
emergence
Cultivars Periods of
exposure
Plant
stand
Plant aspect Mutation
tolerance
Ear
aspect
Plant
husk
Ear
harvest
Plant
harvest
Replicates
Days to plant
emergence
005
Cultivars 000 038
Periods of exposure 000 006 000
Plant stand ndash075 039 015 076
Plant aspect ndash036 036 015 010 096
Mutation tolerance ndash003 037 017 010 097 096
Ear aspect ndash011 016 ndash002 015 026 024 020
Plant husk ndash007 023 ndash011 027 024 022 018 082
Ear harvest ndash014 022 ndash009 009 021 015 017 059 061
Plant harvest ndash012 022 ndash039 013 025 018 017 057 064 090
Highly significant at plt001 Significant at plt005
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9
Table 13 Correlation matrix of yield characters of six cultivars of maize
Stover weight Grain weight per stand Total number of
grains
Replicate Periods of exposure
Stover weight
Grain weight per stand 014
Total number of grains 015 099
Replicates 006 ndash01 ndash011
Periods of exposure 008 ndash016 ndash016 000
Cultivars ndash021 ndash013 ndash012 000 000
4 Discussion
The reduction in the growth characters at 8 and 10
WAP for number of leaves and 10 WAP for plant
height leaf length and leaf width could be due to
mutagenic effect of UV radiation on maize as
similarly reported by Teramura (1983) There were
variations in the contribution of the genotypic effect
on growth performance of maize ARTOB98SW1
showed greater tolerance to the mutagenic effect of
the UV radiation while OBA 98 could not tolerate the
varied exposure periods This could be due to the
differences in the genetic makendashup of the maize
cultivars The performance of ARTOB98SW1 and
ART0B98SW6 could also be attributed to the high
quality protein contents in maize (Olakojo 2004
Olaoye et al 2009 Bello et al 2014a) The least
mean values of days to plant emergence for
ARTOB98SW1 compared to 10ndash5ndashW and other
cultivars showed that they have early maturity traits as
similarly reported by Olawuyi et al (2010 2013)
This could be due to presence of early and maturing
genes present in the quality protein maize
ARTOB98SW6 10ndash1ndashY and ARTOB98 SW1 had
higher tolerance to mutagenic effect of UV radiation
This could be due to the presence of tolerant genes
present in the maize cultivars Olakojo and Kogbe
(2003) Olawuyi et al (2011) and Bello et al (2014b)
had earlier reported tolerance of quality protein maize
cultivars to Stiga lutea and resistance to drought
Maize grain weight and total number of grains at 20
minutes and control showed the best tolerance to UV
radiation compared to other periods Though the
performance of stover weight at 100 minutes as well
as at 80 and 100 minutes for grain weight and total
number of grains could be due to the contribution of
the mutation tolerant gene present in some of the
cultivars particularly the quality protein maize OBA
98 and ARTOB98SW1 performed appreciably in all
the yield characters compared to other cultivars The
superior performance of these cultivars revealed their
tolerant potential to the mutagenic effect of the UV
radiation
5 Conclusion and recommendations
The quality protein maize cultivars not only showed
greater tolerance to mutagenic effect of the UV
radiation but were outstanding in grain yield
compared to other cultivars It appears that the effect
on exposure to UV radiation did not have deleterious
effect on the growth and agronomic characters of
maize but cause reduction in grain yield on exposure
to UV radiation at longer periods Therefore quality
protein maize cultivars should be improved by
introgression of favourable genes of drought tolerance
grain yield and related characters through induced
mutation of UV radiation The characters evaluated
from correlation analysis should further be
encouraged and explored in the breeding programmes
References
Acharya SN Thomas JE and Basu SK 2007 Improvement in the
medicinal and nutritional properties of fenugreek (Trigonella
foenumgraecum L) In Acharya SN and Thomas JE(eds)
Advances in medicinal plant researchResearch Signpost
Trivandrum Kerala India
Ahloowalia BS Maluszynski M and Nichterlein K 2004 Global
impact of mutation derived varieties Euphytica 135 187ndash204
Anderson PC and Georgeson M 1989 Herbicidendashtolerant mutants of
corn Genome 31 994ndash999
Beadle GW and Tatum EL 1941 Genetic control of biochemical
reactions in Neurospora PNAS 27 (11) 499ndash506
Bello OB and Olaoye G (2009) Combining ability for maize grain yield
and other agronomic characters in a typical southern Guinea savanna
ecology of Nigeria African Journal of Biotechnology 8(11) 2518 ndash
2522
httpwwwacademicjournalsorgjpbcsPDFpdf2009 JuneOlaoye 20and20Bellopdf
Bello OB Afolabi MS Ige SA Abdulmaliq SY Azeez M A and
Molecular Plant Breeding 2016 Vol7 No01 1ndash10
httpmpbbiopublisherca
10
Mahamud J 2011 Yield Response of diallelic crossed maize (Zea
mays L) cultivars to varying nitrogen regimes in Nigeria Journal
of BiondashSciences 19 43ndash52
httpwwwBanglajolInfoIndexPhpJbsIndex
Bello OB Abdulmaliq SY Ige SA Mahamood J Oluleye F Azeez
MA and Afolabi MS 2012 Evaluation of early and
late intermediate maize varieties for grain yield potential and
adaptation to a southern Guinea savanna agrondashecology of Nigeria
Scholarly Journal of Agricultural Science 2(3) 42ndash51 http
wwwscholarlyndashjournalscomSJAS
Bello OB Olawuyi OJ Ige SA Mahamood J Afolabi MS Azeez
MA and Abdulmaliq SY 2014a Agrondashnutritional variations of
quality protein maize (Zea mays L) in Nigeria Journal of
Agricultural Sciences 59(2) 101ndash116
httpwwwdoiserbianbrsftaspxid=1450ndash81091
402101B 11
Bello OB Olawuyi OJ Abdulmaliq SY Ige S A Mahamood J
Azeez M A and Afolabi MS 2014b Yield performance and
adaptation of early and intermediate droughtndashtolerant maize
cultivars in Guinea savanna of Nigeria Sarhad Journal of
Agriculture 30(1) 53ndash66
httpwwwbanglajolinfoindexphpJBSindex
Bello OB Olawuyi OJ Lawal M Ige SA Mahamood J Afolabi
MS Azeez M A and Abdulmaliq SY 2014c Genetic gains in
three breeding eras of maize hybrids under low and optimum
nitrogen fertilization Journal of Agricultural Sciences 59(3)
227ndash242
httpwwwjoasagrifbgacrssitesjoasagrifbgacrsfilesarticlepdf
379ndash02ndash690_bello_et_alpdf 6
Boyer CD Hannah LC 1994 Kernel mutants of corn Chapter 1 In
AR Hallauer ed Specialty corns CRC Press Inc Boca Raton
USA pp 1ndash28
Caldwell K Henshaw L and Taylor G 2011 Developing a framework
for Critiquing health research Nursing Fires 103(17) 32ndash33
CIMMYT 2003 The development and promotion quality protein
maize in subndashSaharan Africa Progress report submitted to Nippon
Foundation Harare Zimbabawe
EllneskogndashStaam P Henry Loaisiga C Merker A 2007 Chromosome
Cndashbanding of the teosinte Zea nicaraguensis and comparison to other
Zea species Hereditas 144 96ndash101
Fapohunda SO Olawuyi OJ Bello OB and Lawal T 2013
Comparative shoot responses of two Nigerian crops to Glomus
clarum and other fertilizers Greener Journal of Agricultural
Sciences 3(4) 280ndash285
httpwwwgjournalsorgGJASGJAS20Pdf
Fapohunda20et20alpdf
Javed I Ahsan M Ahmad HM and Ali Q 2016 Role of mutation
breeding to improve Mungbean (Vigna radiata L Wilczek) yield An
overview Nature Science 14(1) 63ndash77
httpwwwsciencepubnetnature 9 doi107537marsnsj14011609
Mano Y Omori F Muraki M and Takamizo T 2005 QTL mapping of
adventitious root formation under flooding conditions in tropical maize
(Zea mays L) seedlings Breeding Science 55 343ndash347
httpdxdoiorg101270jsbbs55343
Mertz ET Bates LS and Nelson OE 1964 Mutant gene that changes
protein composition and increases lysine content of maize endosperm
Science 145 279ndash280
httpdxdoiorg101126science1453629279
Messing J and Dooner HK 2006 Organization and variability of the
maize genome Current Opinion in Plant Biology 9(2) 157ndash163
httpdxdoiorg101016jpbi200601009
Misra PS Jambunathan R Mertz ET Glover DV Barbosa HM and
McWhirter KS 1972 Endosperm protein synthesis in maize mutants
with increased lysine content Science 176(4042) 1425ndash1427
httpdxdoiorg101126science17640421425
Mochida K Tsujimoto H and Sasakuma T 2004 Confocal analysis of
chromosome behavior in wheat x maize zygotes Genome 47(1)
199ndash205 httpdxdoiorg101139g03ndash123
Newhouse K Singh B Shaner D Stidham M 1991 Mutations in corn
(Zea mays L) conferring resistance to imidazolinone herbicides
Theoretical and Applied Genetics 83 65ndash70
Olakojo SA and Kogbe JOS 2003 Reaction of maize to infestation
with the witch weed (Striga lutea) Moor Journal of Agricultural
research 4210ndash217
Olakojo SA 2004 Evaluation of maize inbred lines for tolerance to
Striga lutea in southern guinea savanna ecology Food agriculture
and Environment 2 256ndash259
Olaoye G Bello OB Ajani AK Ademuwagun T K 2009 Breeding
for improved organoleptic and nutritionally acceptable green maize
varieties by crossing sweet corn (Zea mays saccharata) Changes in
quantitative and qualitative characteristics in F1 hybrids and F2
population Journal of plant breeding and Crop science 1(9)
298ndash305
httpwwwacademicjournalsorgjpbcsPDFpdf2009
NovemberOlaoye20et20alpdf
Olawuyi OJ Odebode AC AlfarndashAbdullahi A Olakojo SA and
Adesoye AI 2010 Performance of maize cultivars and
arbuscularmycorrhizal fungi in Samara district of South west region of
DohandashQatar Nigeria journal of mycology 3(1) 86ndash100
Olawuyi OJ Odebode AC Olakojo SA and Adesoye AI 2011 Host
parasite relationship of maize (Zea mays L) and Strigalutea(Lour) as
influenced by Arbuscular mycorrhizal fungi Journal of Science
research 10(2)186ndash198
Olawuyi OJ Odebode AC and Olakojo SA 2013 Cultivar treatments
concentration interaction and characters association in maize (Zea
mays L) under Arbuscular mycorrhizal fungi and Striga lutea (Lour)
In KnowndashNdung EH Ogah DM Yakubu A editors proceedings of
the 37th
Annual Conference of Genetics Society of Nigeria Oct 21ndash24
Lafia Federal University pp 210ndash223
Olawuyi OJ Bello OB Ntube CV and Akanmu AO 2015 Progress
from selection of some maize cultivarsrsquo response to drought in the
derived savanna of Nigeria AGRIVITA Journal of Agricultural
Science 37(1) 8ndash17
httpwwwagrivitaubacidindexphpagrivita
articleview485
Paliwal RL Granados G Lafitte HR Violic AD Maratheacutee JP 2000
Tropical Maize Improvement and Production Food and Agriculture
Organization of the United Nations Rome pp 1ndash3
Rabinowicz PD Bennetzen JL 2006 The maize genome as a model for
efficient sequence analysis of large plant genomes Current Opinion in
Plant Biology 9(2) 149ndash 156
httpdxdoiorg101016jpbi200601015
Molecular Plant Breeding 2016 Vol7 No01 1ndash10
httpmpbbiopublisherca
11
RierandashLizarazu O Rines HW and Phillips RL 1996 Cytological and
molecular characterization of oat x maize partial hybrids Theoretical
and Applied Genetics 93(1ndash2) 123ndash135
httpdxdoiorg101007BF00225737
Singletary GW 2003 Genetic modification of corn Chapter 21 In White
PJ Johnson LA eds Corn chemistry and technology Edition 2nd
American Association of Cereal Chemists Inc St Paul Minesota
USA pp 751ndash782
Srinivasan G Zaidi PH Singh NN and Sanchez C 2004 Increasing
productivity through genetic improvement for tolerance to drought and
excessndashmoisture stress in maize (Zea mays L) Seng V Craswell E
Fukai S and Fischer K eds Australian Centre for International
Agricultural Research Canberra pp 227ndash239
Shah TM Mirza JI Haq MA and Atta BM2008 Induced genetic
Tan S Evans RR Dahmer ML Singh BK Shaner DL 2005
Imidazolinonendashtolerant crops history current status and future Pest
Management Science 61 246ndash257
Tanigawa H Katsumi S Shunsuke F Norikazu O Tetsuhiro S Eji K
variability in chickpea (Cicer arietinum L) II Comparative
mutagenic effectiveness and efficiency of physical and chemical
mutagens Pakistan Journal of Botany 40 605ndash613
Teramura AH 1983 Effects of ultravioletndashB radiation on the growth and
yield of crop plants Physiologia Plantarum 58(3) 415ndash427
Statistical Application Software Institute (2009) Statistical Application
Software (SAS) system for windows version 92 Vol 5 SAS Institute
Cary NC USA
White CN Proebsting WM Hedden P Rivin CJ 2000 Gibberellins and
seeddevelopment in maize I Evidence that gibberellin abscisic acid
balance governs germination versus maturation pathways Plant
Physiology 122(4) 1081ndash1088
httpdxdoiorg101104pp12241081
Molecular Plant Breeding 2016 Vol7 No01 1ndash10
httpmpbbiopublisherca
3
complete randomized design with three replications
25 Planting and cultural practices
Two maize seeds per cultivar were planted per hole at
the depth of 15cm After two weeks thinning of one
plant per stand was applied Weeding was conducted
at weekly intervals while watering was done at
intervals of 3 days to field capacity
26 Data collection
Data were collected on days to plant emergence
growth yield agronomic and mutation tolerance
characters Growth characters evaluated were plant
height leaf length leaf width number of leaves
tasseling length and stem girth Yield characters
assessed were stover weight and grain weight per
stand Stover weight was determined using weighing
balance while total number of grains was estimated
by visual counting of the grains Agronomic
characters include plant stand plant aspect mutation
tolerance ear aspect plant husk cover ear harvest
plant harvest Mutation tolerance scores ranges
between 1 and 9 Highly tolerance to mutation scores
from 1ndash3 moderately tolerant 4ndash6 while highly
susceptible to mutation was scored 9 Other
agronomic and drought tolerance characters ranged
between 1 and 5 in which one is excellent 2 is good
3 is fairly good 4 is fair while 5 is poor
27 Data analysis
The data were statistically analyzed using the SAS
software program version 92 (SAS Institute 2009
Version 5) Analysis of variance (ANOVA) was
computed while the means were separated by
Duncanrsquos Multiple Range Test (DMRT) The
relationship among the growth characters stages of
growth agronomic characters mutagenic tolerance
exposure periods and yield of maize cultivars were
also determined using Pearson correlation coefficient
Table 2 Mean square effect of ultraviolet radiation (UV) on growth characters of maize
Source of variation df Plant height Leaf length Leaf width Number of
leaves
Intercept 1 253690942 104711879 317115 1540261
Replicate 2 188320ns 52680ns 183ns 902ns
WAP 4 5390389 1912166 4729 15831
Treatment 5 875818 328804 905 5187
Cultivars 5 1444233 665155 1487 4249
ReplicateWAP 8 61044ns 24083ns 062ns 312ns
ReplicateTreatment 10 411753 135736ns 584 2123
ReplicateCultivars 10 210000ns 77119ns 173ns 730ns
WAPTreatment 20 292112 70901ns 298ns 1127ns
WAPCultivars 20 559066 214595 595 2025
TreatmentCultivars 25 299207 135855 351ns 1421
WAPTreatmentCultivars 100 140140ns 50245ns 152ns 742ns
ReplicateWAPTreatmentCultivars 325 155489ns 56836ns 165ns 647ns
Error 10 96097 48327 177 490
Total 545
plt 001 highly significant plt005 significant ns= non significant
3 Results
Table 2 shows that the mean square effect of
ultraviolet (UV) radiation on growth stages exposure
periods and cultivars produced highly significant
(plt001) effects on the growth characters The first
order interaction of replicates and treatments had
significant effect on growth characters except leaf
length Again the effect of UV radiation on first order
interaction between weeks after planting (WAP) and
treatments was only significant (plt005) on plant
height but not significant on other growth characters
The interaction between treatments and cultivars also
produced significant effects on all the growth
characters except leaf width The effect of UV
radiation on WAP and cultivars was significant
(plt001 and plt005) on plant height leaf length leaf
Molecular Plant Breeding 2016 Vol7 No01 1ndash10
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4
width and number of leaves (Table 2)
Table 3 shows that the exposure periods of UV
radiation was significantly (plt001) higher on plant
husk but significantly (plt005) affected ear aspect
ear harvest and plant harvest while days to plant
emergence plant stand plant aspect and mutation
tolerance did not differ The genotypic influence on
plant stand plant aspect mutation tolerance and plant
harvest however was highly significant (Table 3)
Table 4 shows that the cultivars produced significant
effect on stover weight but not differed significantly
for grain weight per stand and total number of grains
The effect of the treated maize cultivars at varied
exposure periods was unaffected by differences in
yield characters Table 5 shows that there are
variations in performance of growth characters in
maize under varied exposure periods of UV radiation
All the growth and agronomic characters at 100
minutes were significantly higher (plt005) than other
exposure periods On the other hand the periods at 20
40 and 60 minutes as well as control did not differ
significantly for plant height and leaf length Also the
mean number of leaves at 60 and 80 minutes were not
significantly different
Table 3 Mean square effect of UV radiation on agronomic characters of maize
Source of variation
df Days to
plant
emergence
Plant
stand
Plant
aspect
Mutation
tolerance
Ear
aspect
Plant
husk
Ear
harvest
Plant
harvest
Corrected model 12 879 507 400ns 1513 708 820 736 1157
Intercept 12 202800 35934 30334 80033 18934 24001 24300 36300
Replicate 2 075ns 123ns 140ns 286ns 207ns 112ns 536ns 411ns
Periods of exposure 5 349ns 079ns 103ns 267ns 783 1161 600 1256
Cultivars 5 1731 1088 777 3251 834 763 951 1358
Error 95 289 252 239 646 268 249 300 337
Total 108
Corrected total 107
plt001 highly significant plt 005 significant ns= nonndashsignificant
Table 4 Mean square effect of UV radiation on yield characters of maize
Source of variation df Stover weight (g) Grain weight per stand (g) Total number of grains
Corrected Model 12 958 148ns 3272ns
Intercept 1 17777 606 12675
Replicates 2 548ns 067ns 1769ns
Periods of exposure to UV
radiation
5 780ns 119ns 2657ns
Cultivars 5 12995 209ns 4488ns
Error 95 470 097 2160
Total 108
Corrected Total 107
plt001 highly significant plt 005 significant ns= nonndashsignificant
Table 5 Growth performance of maize under varied exposure periods of UV radiation
Exposure periods of UV radiation (minutes) Plant height (cm) Leaf length (cm) Leaf width Number of
leaves
0 (control) 5622c 3672c 202d 437d
20 7259ab 4617ab 253abc 542bc
40 7571ab 4655ab 274ab 599ab
60 5812c 3696c 210cd 473cd
80 6524bc 4429bc 229bcd 502cd
100 8086a 5218a 279a 642a
Means with the same letter in the same column are not significantly different at pgt 005 using Duncanrsquos multiple range test
Molecular Plant Breeding 2016 Vol7 No01 1ndash10
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5
Table 6 shows that there were significant effect
(plt005) of different exposure periods of UV radiation
on days to plant emergence ear aspect plant husk ear
harvest and plant harvest while plant stand plant
aspect and mutation tolerance produced similar effect
The period of exposure at 100 minutes was higher and
highly tolerant than other exposures for days to plant
emergence mutation tolerance and other agronomic
characters The ear aspect at 40 and 80 minutes as
well as control and 60 minutes were not significantly
different Table 7 shows that the exposure period of
stover weight at 100 minutes is significantly higher
(plt005) than other periods while grain weight and
total number of grains at 20 minutes are significantly
higher but not different from the control The periods
of exposure at 40 and 60 minutes as well as 80 and
100 minutes did not differ from each other for grain
weight and total number of grains Table 8 shows that
all the growth characters in Cultivar ARTOB98SW1
are significantly higher than other cultivars The leaf
length leaf width and number of leaves of
ARTOB98SW1 were not significantly different from
10ndash5ndashW The number of leaves for 3ndash1ndash4 was not
significantly different from 10ndash5ndashW and
ARTndashOBndash98ndashSW1 OBA 98 had significant reduction
in mean values for all the growth characters but not
different from the plant height of 10ndash1ndashY The height
status for OBA 98 and 10ndash1ndashY as well as the leaf
length and leaf width for 10ndash1ndashY and
ARTOB98SW6 were not significantly different
from one another On the other hand
ARTOB98SW6 was outstanding for days to
emergence and other agronomic characters compared
to other cultivars while 10ndash5ndashW was the worst
ARTOB98SW6 10ndash1ndashY and ARTOB98SW1
were the most tolerant cultivars to mutagenic effect of
UV radiation while 3ndash1ndash4 was most susceptible
There was an excellent contribution of genotypic
effect on ear aspect plant husk ear harvest and plant
harvest for all the cultivars though
Table 6 Different exposure periods of UV radiation on mutation tolerance and agronomic character of maize
Exposure
periods of UV
radiation
( minutes)
Days to
plant
emergence
Plant stand Plant
aspect
Mutation
tolerance
Ear aspect Plant husk Ear harvest Plant
harvest
0 439ab 156ab 144ab 222ab 033c 106ab 100ab 100b
20 433ab 172ab 139ab 239ab 078b 111ab 167ab 194b
40 411ab 106ab 159ab 211ab 167ab 167ab 211a 283ab
60 428ab 167ab 156ab 256ab 033c 056b 061b 067c
80 378b 189ab 189ab 294ab 172ab 167ab 167ab 217ab
100 511a 361a 249a 411a 211a 289a 294a 339a
Means with the same letter in the same column are not significantly different at plt 005 using Duncanrsquos multiple range test
Mutational tolerance Highly tolerant 1ndash3 moderately tolerant 4ndash6 moderately susceptible 7ndash8 highly susceptible 9 Drought
tolerant rating 1 is excellent 2 is good 3 is fairly good 4 is fair 5 is poor
Table 7 Effect of different exposure periods of UV radiation on the yield characters of maize
Periods of exposure of UV radiation
(minutes)
Stover weight(g) Grain weight per stand (g) Total number of grains
0 121ab 049a 239a
20 147ab 063a 283a
40 123ab 003c 006c
60 023c 002c 006c
80 127ab 011b 061b
100 229a 015b 056b
Means with the same letters in the same column are not significantly different at pgt005 using Duncanrsquos multiple range test
Molecular Plant Breeding 2016 Vol7 No01 1ndash10
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6
Table 8 Genotypic effect on growth characters of maize
Cultivars Plant height(cm) Leaf length(cm) Leaf width Number of leaves
Oba 98 5312d 3316c 182c 421c
10ndash1ndashY 5835d 3761bc 220bc 479bc
ARTOB98SW6 6122cd 3943bc 221bc 531ab
3ndash1ndash4 6991bc 4471b 256ab 574a
10ndash5ndashW 7944ab 5255a 271a 580a
ARTOB98SW1 8658a 5536a 297a 606a
Means with the same letter in the same column are not significantly different at pgt005 using Duncanrsquos multiple range tests (DMRT)
better than OBA 98 (Table 9) Table 10 shows
significant differences (plt005) in genotypic effect on
the yield characters of maize The mean values of
stover weight for ARTOB98SW1 and
ARTOB98SW6 were not significantly different
from each other The grain weight per stand for OBA
98 and ARTOB98SW1 were not significantly
different but higher and different from other maize
cultivars The cultivars 10ndash5ndashW and 10ndash1ndashY for grain
weight per stand were not different from each other
but higher and significantly different from cultivar
3ndash1ndash4 The total number of grains for
ART0B98SW1 and ARTOB98SW6 were
significantly (plt005) higher but different from other
cultivars The plant height was positive and strongly
correlated (plt001) with leaf length leaf width and
number of leaves with r = 095 096 089 respectively
The associations among plant height treatments and
cultivars were positively insignificant (Table 11) The
leaf width was positive and strongly related with plant
height and leaf length with r = 095 and 094
respectively There were strong positive associations
between number of leaves and plant height leaf length
and leaf width with r = 089 089 and 095
respectively Only the periods of exposure was
positive and strongly correlated with leaf width (r =
079) (Table 11)
Table 9 Genotypic effect on agronomic characters and mutation tolerance of maize
Cultivars
Days to
plant
emergence
Plant
stand
Plant
aspect
Mutation
Tolerance
Ear
aspect
Plant
husk Ear harvest
Plant
harvest
ARTOB98SW6 244b 100c 083c 133c 050c 089c 067c 078c
OBA98 444a 211b 194abc 306b 250a 261a 278a 333a
ARTOB98SW1 422a 144c 139bc 194c 156ab 189ab 178ab 222ab
(10ndash5ndashW) 506a 194c 200ab 311b 089c 139b 106b 144bc
(3ndash1ndash4) 500a 317a 267a 506a 122b 106b 133b 156bc
(10ndash1ndashY) 483a 128c 122bc 183c 128b 111b 139b 167bc
Means with different letters in the same column are not significantly different at plt005
Table 10 Effect of cultivars on the yield characters of maize
Cultivars Stover weight(g) Grain weight
per stand(g)
Total number
of grains
ART OB98SW6 178ab 075a 300a
OBA98 255a 071a 289ab
ARTOB98SW1 190ab 064ab 333a
10ndash5ndashW 060bc 006b 022b
3ndash1ndash4 024c 000c 000c
10ndash1ndashY 103b 001b 006bc
Means with the same letter in the same column are not significantly different at plt005 using Duncanrsquos multiple range test
Molecular Plant Breeding 2016 Vol7 No01 1ndash10
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7
Table 11 Correlation matrix of growth characters of maize
Plant
height
Leaf
length
Leaf
width
Number of
leaves Replicates WAP Treatment
Plant height
Leaf length 095
Leaf width 096 094
Number of leaves 089 089 093
Replicate 003 ndash002 ndash004 ndash004
WAP 035 022 027 017 003
Treatment 009 011 079 013 003 002
Cultivars 002 003ns 006 011 007 002 004
plt001 plt005 Treatment = Periods of exposure
Table 12 shows that there was positive and strong
associations between plant stand with plant aspect and
mutation tolerance at r = 096 and 097 respectively
while negative and strong relationship existed between
plant stand and replicates with r = ndash075 Also plant
stand was positive and strongly related with periods of
exposure and plant aspect at r = 076 and 096
respectively There were significant and positive
correlations between ear harvest and ear aspect (r =
059) plant husk (r = 061) as well between plant
husk and ear aspect (r = 082) while the associations
between plant harvest and ear aspect (r = 057) plant
husk (r = 064) and ear harvest (r = 090) were strong
and positive (Table 12) The association between the
stover weight and periods of exposure is positive and
insignificant while the correlation between total
number of grains and grain weight per stand was
positive and strong (r = 099) The association
between the periods of exposure and grain weight per
stand total number of grain was negative and
significant with r = ndash046 and ndash048 respectively The
cultivars are positive and strongly related with the
periods of exposure at r = 070 (Table 12) The
correlation between total number of grains and grain
weight per stand however was positive and significant
with r = 099 (Table 13)
Molecular Plant Breeding 2016 Vol7 No01 1ndash10
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8
Table 12 Correlation matrix of the agronomic characters of maize
Replicates Day to plant
emergence
Cultivars Periods of
exposure
Plant
stand
Plant aspect Mutation
tolerance
Ear
aspect
Plant
husk
Ear
harvest
Plant
harvest
Replicates
Days to plant
emergence
005
Cultivars 000 038
Periods of exposure 000 006 000
Plant stand ndash075 039 015 076
Plant aspect ndash036 036 015 010 096
Mutation tolerance ndash003 037 017 010 097 096
Ear aspect ndash011 016 ndash002 015 026 024 020
Plant husk ndash007 023 ndash011 027 024 022 018 082
Ear harvest ndash014 022 ndash009 009 021 015 017 059 061
Plant harvest ndash012 022 ndash039 013 025 018 017 057 064 090
Highly significant at plt001 Significant at plt005
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9
Table 13 Correlation matrix of yield characters of six cultivars of maize
Stover weight Grain weight per stand Total number of
grains
Replicate Periods of exposure
Stover weight
Grain weight per stand 014
Total number of grains 015 099
Replicates 006 ndash01 ndash011
Periods of exposure 008 ndash016 ndash016 000
Cultivars ndash021 ndash013 ndash012 000 000
4 Discussion
The reduction in the growth characters at 8 and 10
WAP for number of leaves and 10 WAP for plant
height leaf length and leaf width could be due to
mutagenic effect of UV radiation on maize as
similarly reported by Teramura (1983) There were
variations in the contribution of the genotypic effect
on growth performance of maize ARTOB98SW1
showed greater tolerance to the mutagenic effect of
the UV radiation while OBA 98 could not tolerate the
varied exposure periods This could be due to the
differences in the genetic makendashup of the maize
cultivars The performance of ARTOB98SW1 and
ART0B98SW6 could also be attributed to the high
quality protein contents in maize (Olakojo 2004
Olaoye et al 2009 Bello et al 2014a) The least
mean values of days to plant emergence for
ARTOB98SW1 compared to 10ndash5ndashW and other
cultivars showed that they have early maturity traits as
similarly reported by Olawuyi et al (2010 2013)
This could be due to presence of early and maturing
genes present in the quality protein maize
ARTOB98SW6 10ndash1ndashY and ARTOB98 SW1 had
higher tolerance to mutagenic effect of UV radiation
This could be due to the presence of tolerant genes
present in the maize cultivars Olakojo and Kogbe
(2003) Olawuyi et al (2011) and Bello et al (2014b)
had earlier reported tolerance of quality protein maize
cultivars to Stiga lutea and resistance to drought
Maize grain weight and total number of grains at 20
minutes and control showed the best tolerance to UV
radiation compared to other periods Though the
performance of stover weight at 100 minutes as well
as at 80 and 100 minutes for grain weight and total
number of grains could be due to the contribution of
the mutation tolerant gene present in some of the
cultivars particularly the quality protein maize OBA
98 and ARTOB98SW1 performed appreciably in all
the yield characters compared to other cultivars The
superior performance of these cultivars revealed their
tolerant potential to the mutagenic effect of the UV
radiation
5 Conclusion and recommendations
The quality protein maize cultivars not only showed
greater tolerance to mutagenic effect of the UV
radiation but were outstanding in grain yield
compared to other cultivars It appears that the effect
on exposure to UV radiation did not have deleterious
effect on the growth and agronomic characters of
maize but cause reduction in grain yield on exposure
to UV radiation at longer periods Therefore quality
protein maize cultivars should be improved by
introgression of favourable genes of drought tolerance
grain yield and related characters through induced
mutation of UV radiation The characters evaluated
from correlation analysis should further be
encouraged and explored in the breeding programmes
References
Acharya SN Thomas JE and Basu SK 2007 Improvement in the
medicinal and nutritional properties of fenugreek (Trigonella
foenumgraecum L) In Acharya SN and Thomas JE(eds)
Advances in medicinal plant researchResearch Signpost
Trivandrum Kerala India
Ahloowalia BS Maluszynski M and Nichterlein K 2004 Global
impact of mutation derived varieties Euphytica 135 187ndash204
Anderson PC and Georgeson M 1989 Herbicidendashtolerant mutants of
corn Genome 31 994ndash999
Beadle GW and Tatum EL 1941 Genetic control of biochemical
reactions in Neurospora PNAS 27 (11) 499ndash506
Bello OB and Olaoye G (2009) Combining ability for maize grain yield
and other agronomic characters in a typical southern Guinea savanna
ecology of Nigeria African Journal of Biotechnology 8(11) 2518 ndash
2522
httpwwwacademicjournalsorgjpbcsPDFpdf2009 JuneOlaoye 20and20Bellopdf
Bello OB Afolabi MS Ige SA Abdulmaliq SY Azeez M A and
Molecular Plant Breeding 2016 Vol7 No01 1ndash10
httpmpbbiopublisherca
10
Mahamud J 2011 Yield Response of diallelic crossed maize (Zea
mays L) cultivars to varying nitrogen regimes in Nigeria Journal
of BiondashSciences 19 43ndash52
httpwwwBanglajolInfoIndexPhpJbsIndex
Bello OB Abdulmaliq SY Ige SA Mahamood J Oluleye F Azeez
MA and Afolabi MS 2012 Evaluation of early and
late intermediate maize varieties for grain yield potential and
adaptation to a southern Guinea savanna agrondashecology of Nigeria
Scholarly Journal of Agricultural Science 2(3) 42ndash51 http
wwwscholarlyndashjournalscomSJAS
Bello OB Olawuyi OJ Ige SA Mahamood J Afolabi MS Azeez
MA and Abdulmaliq SY 2014a Agrondashnutritional variations of
quality protein maize (Zea mays L) in Nigeria Journal of
Agricultural Sciences 59(2) 101ndash116
httpwwwdoiserbianbrsftaspxid=1450ndash81091
402101B 11
Bello OB Olawuyi OJ Abdulmaliq SY Ige S A Mahamood J
Azeez M A and Afolabi MS 2014b Yield performance and
adaptation of early and intermediate droughtndashtolerant maize
cultivars in Guinea savanna of Nigeria Sarhad Journal of
Agriculture 30(1) 53ndash66
httpwwwbanglajolinfoindexphpJBSindex
Bello OB Olawuyi OJ Lawal M Ige SA Mahamood J Afolabi
MS Azeez M A and Abdulmaliq SY 2014c Genetic gains in
three breeding eras of maize hybrids under low and optimum
nitrogen fertilization Journal of Agricultural Sciences 59(3)
227ndash242
httpwwwjoasagrifbgacrssitesjoasagrifbgacrsfilesarticlepdf
379ndash02ndash690_bello_et_alpdf 6
Boyer CD Hannah LC 1994 Kernel mutants of corn Chapter 1 In
AR Hallauer ed Specialty corns CRC Press Inc Boca Raton
USA pp 1ndash28
Caldwell K Henshaw L and Taylor G 2011 Developing a framework
for Critiquing health research Nursing Fires 103(17) 32ndash33
CIMMYT 2003 The development and promotion quality protein
maize in subndashSaharan Africa Progress report submitted to Nippon
Foundation Harare Zimbabawe
EllneskogndashStaam P Henry Loaisiga C Merker A 2007 Chromosome
Cndashbanding of the teosinte Zea nicaraguensis and comparison to other
Zea species Hereditas 144 96ndash101
Fapohunda SO Olawuyi OJ Bello OB and Lawal T 2013
Comparative shoot responses of two Nigerian crops to Glomus
clarum and other fertilizers Greener Journal of Agricultural
Sciences 3(4) 280ndash285
httpwwwgjournalsorgGJASGJAS20Pdf
Fapohunda20et20alpdf
Javed I Ahsan M Ahmad HM and Ali Q 2016 Role of mutation
breeding to improve Mungbean (Vigna radiata L Wilczek) yield An
overview Nature Science 14(1) 63ndash77
httpwwwsciencepubnetnature 9 doi107537marsnsj14011609
Mano Y Omori F Muraki M and Takamizo T 2005 QTL mapping of
adventitious root formation under flooding conditions in tropical maize
(Zea mays L) seedlings Breeding Science 55 343ndash347
httpdxdoiorg101270jsbbs55343
Mertz ET Bates LS and Nelson OE 1964 Mutant gene that changes
protein composition and increases lysine content of maize endosperm
Science 145 279ndash280
httpdxdoiorg101126science1453629279
Messing J and Dooner HK 2006 Organization and variability of the
maize genome Current Opinion in Plant Biology 9(2) 157ndash163
httpdxdoiorg101016jpbi200601009
Misra PS Jambunathan R Mertz ET Glover DV Barbosa HM and
McWhirter KS 1972 Endosperm protein synthesis in maize mutants
with increased lysine content Science 176(4042) 1425ndash1427
httpdxdoiorg101126science17640421425
Mochida K Tsujimoto H and Sasakuma T 2004 Confocal analysis of
chromosome behavior in wheat x maize zygotes Genome 47(1)
199ndash205 httpdxdoiorg101139g03ndash123
Newhouse K Singh B Shaner D Stidham M 1991 Mutations in corn
(Zea mays L) conferring resistance to imidazolinone herbicides
Theoretical and Applied Genetics 83 65ndash70
Olakojo SA and Kogbe JOS 2003 Reaction of maize to infestation
with the witch weed (Striga lutea) Moor Journal of Agricultural
research 4210ndash217
Olakojo SA 2004 Evaluation of maize inbred lines for tolerance to
Striga lutea in southern guinea savanna ecology Food agriculture
and Environment 2 256ndash259
Olaoye G Bello OB Ajani AK Ademuwagun T K 2009 Breeding
for improved organoleptic and nutritionally acceptable green maize
varieties by crossing sweet corn (Zea mays saccharata) Changes in
quantitative and qualitative characteristics in F1 hybrids and F2
population Journal of plant breeding and Crop science 1(9)
298ndash305
httpwwwacademicjournalsorgjpbcsPDFpdf2009
NovemberOlaoye20et20alpdf
Olawuyi OJ Odebode AC AlfarndashAbdullahi A Olakojo SA and
Adesoye AI 2010 Performance of maize cultivars and
arbuscularmycorrhizal fungi in Samara district of South west region of
DohandashQatar Nigeria journal of mycology 3(1) 86ndash100
Olawuyi OJ Odebode AC Olakojo SA and Adesoye AI 2011 Host
parasite relationship of maize (Zea mays L) and Strigalutea(Lour) as
influenced by Arbuscular mycorrhizal fungi Journal of Science
research 10(2)186ndash198
Olawuyi OJ Odebode AC and Olakojo SA 2013 Cultivar treatments
concentration interaction and characters association in maize (Zea
mays L) under Arbuscular mycorrhizal fungi and Striga lutea (Lour)
In KnowndashNdung EH Ogah DM Yakubu A editors proceedings of
the 37th
Annual Conference of Genetics Society of Nigeria Oct 21ndash24
Lafia Federal University pp 210ndash223
Olawuyi OJ Bello OB Ntube CV and Akanmu AO 2015 Progress
from selection of some maize cultivarsrsquo response to drought in the
derived savanna of Nigeria AGRIVITA Journal of Agricultural
Science 37(1) 8ndash17
httpwwwagrivitaubacidindexphpagrivita
articleview485
Paliwal RL Granados G Lafitte HR Violic AD Maratheacutee JP 2000
Tropical Maize Improvement and Production Food and Agriculture
Organization of the United Nations Rome pp 1ndash3
Rabinowicz PD Bennetzen JL 2006 The maize genome as a model for
efficient sequence analysis of large plant genomes Current Opinion in
Plant Biology 9(2) 149ndash 156
httpdxdoiorg101016jpbi200601015
Molecular Plant Breeding 2016 Vol7 No01 1ndash10
httpmpbbiopublisherca
11
RierandashLizarazu O Rines HW and Phillips RL 1996 Cytological and
molecular characterization of oat x maize partial hybrids Theoretical
and Applied Genetics 93(1ndash2) 123ndash135
httpdxdoiorg101007BF00225737
Singletary GW 2003 Genetic modification of corn Chapter 21 In White
PJ Johnson LA eds Corn chemistry and technology Edition 2nd
American Association of Cereal Chemists Inc St Paul Minesota
USA pp 751ndash782
Srinivasan G Zaidi PH Singh NN and Sanchez C 2004 Increasing
productivity through genetic improvement for tolerance to drought and
excessndashmoisture stress in maize (Zea mays L) Seng V Craswell E
Fukai S and Fischer K eds Australian Centre for International
Agricultural Research Canberra pp 227ndash239
Shah TM Mirza JI Haq MA and Atta BM2008 Induced genetic
Tan S Evans RR Dahmer ML Singh BK Shaner DL 2005
Imidazolinonendashtolerant crops history current status and future Pest
Management Science 61 246ndash257
Tanigawa H Katsumi S Shunsuke F Norikazu O Tetsuhiro S Eji K
variability in chickpea (Cicer arietinum L) II Comparative
mutagenic effectiveness and efficiency of physical and chemical
mutagens Pakistan Journal of Botany 40 605ndash613
Teramura AH 1983 Effects of ultravioletndashB radiation on the growth and
yield of crop plants Physiologia Plantarum 58(3) 415ndash427
Statistical Application Software Institute (2009) Statistical Application
Software (SAS) system for windows version 92 Vol 5 SAS Institute
Cary NC USA
White CN Proebsting WM Hedden P Rivin CJ 2000 Gibberellins and
seeddevelopment in maize I Evidence that gibberellin abscisic acid
balance governs germination versus maturation pathways Plant
Physiology 122(4) 1081ndash1088
httpdxdoiorg101104pp12241081
Molecular Plant Breeding 2016 Vol7 No01 1ndash10
httpmpbbiopublisherca
4
width and number of leaves (Table 2)
Table 3 shows that the exposure periods of UV
radiation was significantly (plt001) higher on plant
husk but significantly (plt005) affected ear aspect
ear harvest and plant harvest while days to plant
emergence plant stand plant aspect and mutation
tolerance did not differ The genotypic influence on
plant stand plant aspect mutation tolerance and plant
harvest however was highly significant (Table 3)
Table 4 shows that the cultivars produced significant
effect on stover weight but not differed significantly
for grain weight per stand and total number of grains
The effect of the treated maize cultivars at varied
exposure periods was unaffected by differences in
yield characters Table 5 shows that there are
variations in performance of growth characters in
maize under varied exposure periods of UV radiation
All the growth and agronomic characters at 100
minutes were significantly higher (plt005) than other
exposure periods On the other hand the periods at 20
40 and 60 minutes as well as control did not differ
significantly for plant height and leaf length Also the
mean number of leaves at 60 and 80 minutes were not
significantly different
Table 3 Mean square effect of UV radiation on agronomic characters of maize
Source of variation
df Days to
plant
emergence
Plant
stand
Plant
aspect
Mutation
tolerance
Ear
aspect
Plant
husk
Ear
harvest
Plant
harvest
Corrected model 12 879 507 400ns 1513 708 820 736 1157
Intercept 12 202800 35934 30334 80033 18934 24001 24300 36300
Replicate 2 075ns 123ns 140ns 286ns 207ns 112ns 536ns 411ns
Periods of exposure 5 349ns 079ns 103ns 267ns 783 1161 600 1256
Cultivars 5 1731 1088 777 3251 834 763 951 1358
Error 95 289 252 239 646 268 249 300 337
Total 108
Corrected total 107
plt001 highly significant plt 005 significant ns= nonndashsignificant
Table 4 Mean square effect of UV radiation on yield characters of maize
Source of variation df Stover weight (g) Grain weight per stand (g) Total number of grains
Corrected Model 12 958 148ns 3272ns
Intercept 1 17777 606 12675
Replicates 2 548ns 067ns 1769ns
Periods of exposure to UV
radiation
5 780ns 119ns 2657ns
Cultivars 5 12995 209ns 4488ns
Error 95 470 097 2160
Total 108
Corrected Total 107
plt001 highly significant plt 005 significant ns= nonndashsignificant
Table 5 Growth performance of maize under varied exposure periods of UV radiation
Exposure periods of UV radiation (minutes) Plant height (cm) Leaf length (cm) Leaf width Number of
leaves
0 (control) 5622c 3672c 202d 437d
20 7259ab 4617ab 253abc 542bc
40 7571ab 4655ab 274ab 599ab
60 5812c 3696c 210cd 473cd
80 6524bc 4429bc 229bcd 502cd
100 8086a 5218a 279a 642a
Means with the same letter in the same column are not significantly different at pgt 005 using Duncanrsquos multiple range test
Molecular Plant Breeding 2016 Vol7 No01 1ndash10
httpmpbbiopublisherca
5
Table 6 shows that there were significant effect
(plt005) of different exposure periods of UV radiation
on days to plant emergence ear aspect plant husk ear
harvest and plant harvest while plant stand plant
aspect and mutation tolerance produced similar effect
The period of exposure at 100 minutes was higher and
highly tolerant than other exposures for days to plant
emergence mutation tolerance and other agronomic
characters The ear aspect at 40 and 80 minutes as
well as control and 60 minutes were not significantly
different Table 7 shows that the exposure period of
stover weight at 100 minutes is significantly higher
(plt005) than other periods while grain weight and
total number of grains at 20 minutes are significantly
higher but not different from the control The periods
of exposure at 40 and 60 minutes as well as 80 and
100 minutes did not differ from each other for grain
weight and total number of grains Table 8 shows that
all the growth characters in Cultivar ARTOB98SW1
are significantly higher than other cultivars The leaf
length leaf width and number of leaves of
ARTOB98SW1 were not significantly different from
10ndash5ndashW The number of leaves for 3ndash1ndash4 was not
significantly different from 10ndash5ndashW and
ARTndashOBndash98ndashSW1 OBA 98 had significant reduction
in mean values for all the growth characters but not
different from the plant height of 10ndash1ndashY The height
status for OBA 98 and 10ndash1ndashY as well as the leaf
length and leaf width for 10ndash1ndashY and
ARTOB98SW6 were not significantly different
from one another On the other hand
ARTOB98SW6 was outstanding for days to
emergence and other agronomic characters compared
to other cultivars while 10ndash5ndashW was the worst
ARTOB98SW6 10ndash1ndashY and ARTOB98SW1
were the most tolerant cultivars to mutagenic effect of
UV radiation while 3ndash1ndash4 was most susceptible
There was an excellent contribution of genotypic
effect on ear aspect plant husk ear harvest and plant
harvest for all the cultivars though
Table 6 Different exposure periods of UV radiation on mutation tolerance and agronomic character of maize
Exposure
periods of UV
radiation
( minutes)
Days to
plant
emergence
Plant stand Plant
aspect
Mutation
tolerance
Ear aspect Plant husk Ear harvest Plant
harvest
0 439ab 156ab 144ab 222ab 033c 106ab 100ab 100b
20 433ab 172ab 139ab 239ab 078b 111ab 167ab 194b
40 411ab 106ab 159ab 211ab 167ab 167ab 211a 283ab
60 428ab 167ab 156ab 256ab 033c 056b 061b 067c
80 378b 189ab 189ab 294ab 172ab 167ab 167ab 217ab
100 511a 361a 249a 411a 211a 289a 294a 339a
Means with the same letter in the same column are not significantly different at plt 005 using Duncanrsquos multiple range test
Mutational tolerance Highly tolerant 1ndash3 moderately tolerant 4ndash6 moderately susceptible 7ndash8 highly susceptible 9 Drought
tolerant rating 1 is excellent 2 is good 3 is fairly good 4 is fair 5 is poor
Table 7 Effect of different exposure periods of UV radiation on the yield characters of maize
Periods of exposure of UV radiation
(minutes)
Stover weight(g) Grain weight per stand (g) Total number of grains
0 121ab 049a 239a
20 147ab 063a 283a
40 123ab 003c 006c
60 023c 002c 006c
80 127ab 011b 061b
100 229a 015b 056b
Means with the same letters in the same column are not significantly different at pgt005 using Duncanrsquos multiple range test
Molecular Plant Breeding 2016 Vol7 No01 1ndash10
httpmpbbiopublisherca
6
Table 8 Genotypic effect on growth characters of maize
Cultivars Plant height(cm) Leaf length(cm) Leaf width Number of leaves
Oba 98 5312d 3316c 182c 421c
10ndash1ndashY 5835d 3761bc 220bc 479bc
ARTOB98SW6 6122cd 3943bc 221bc 531ab
3ndash1ndash4 6991bc 4471b 256ab 574a
10ndash5ndashW 7944ab 5255a 271a 580a
ARTOB98SW1 8658a 5536a 297a 606a
Means with the same letter in the same column are not significantly different at pgt005 using Duncanrsquos multiple range tests (DMRT)
better than OBA 98 (Table 9) Table 10 shows
significant differences (plt005) in genotypic effect on
the yield characters of maize The mean values of
stover weight for ARTOB98SW1 and
ARTOB98SW6 were not significantly different
from each other The grain weight per stand for OBA
98 and ARTOB98SW1 were not significantly
different but higher and different from other maize
cultivars The cultivars 10ndash5ndashW and 10ndash1ndashY for grain
weight per stand were not different from each other
but higher and significantly different from cultivar
3ndash1ndash4 The total number of grains for
ART0B98SW1 and ARTOB98SW6 were
significantly (plt005) higher but different from other
cultivars The plant height was positive and strongly
correlated (plt001) with leaf length leaf width and
number of leaves with r = 095 096 089 respectively
The associations among plant height treatments and
cultivars were positively insignificant (Table 11) The
leaf width was positive and strongly related with plant
height and leaf length with r = 095 and 094
respectively There were strong positive associations
between number of leaves and plant height leaf length
and leaf width with r = 089 089 and 095
respectively Only the periods of exposure was
positive and strongly correlated with leaf width (r =
079) (Table 11)
Table 9 Genotypic effect on agronomic characters and mutation tolerance of maize
Cultivars
Days to
plant
emergence
Plant
stand
Plant
aspect
Mutation
Tolerance
Ear
aspect
Plant
husk Ear harvest
Plant
harvest
ARTOB98SW6 244b 100c 083c 133c 050c 089c 067c 078c
OBA98 444a 211b 194abc 306b 250a 261a 278a 333a
ARTOB98SW1 422a 144c 139bc 194c 156ab 189ab 178ab 222ab
(10ndash5ndashW) 506a 194c 200ab 311b 089c 139b 106b 144bc
(3ndash1ndash4) 500a 317a 267a 506a 122b 106b 133b 156bc
(10ndash1ndashY) 483a 128c 122bc 183c 128b 111b 139b 167bc
Means with different letters in the same column are not significantly different at plt005
Table 10 Effect of cultivars on the yield characters of maize
Cultivars Stover weight(g) Grain weight
per stand(g)
Total number
of grains
ART OB98SW6 178ab 075a 300a
OBA98 255a 071a 289ab
ARTOB98SW1 190ab 064ab 333a
10ndash5ndashW 060bc 006b 022b
3ndash1ndash4 024c 000c 000c
10ndash1ndashY 103b 001b 006bc
Means with the same letter in the same column are not significantly different at plt005 using Duncanrsquos multiple range test
Molecular Plant Breeding 2016 Vol7 No01 1ndash10
httpmpbbiopublisherca
7
Table 11 Correlation matrix of growth characters of maize
Plant
height
Leaf
length
Leaf
width
Number of
leaves Replicates WAP Treatment
Plant height
Leaf length 095
Leaf width 096 094
Number of leaves 089 089 093
Replicate 003 ndash002 ndash004 ndash004
WAP 035 022 027 017 003
Treatment 009 011 079 013 003 002
Cultivars 002 003ns 006 011 007 002 004
plt001 plt005 Treatment = Periods of exposure
Table 12 shows that there was positive and strong
associations between plant stand with plant aspect and
mutation tolerance at r = 096 and 097 respectively
while negative and strong relationship existed between
plant stand and replicates with r = ndash075 Also plant
stand was positive and strongly related with periods of
exposure and plant aspect at r = 076 and 096
respectively There were significant and positive
correlations between ear harvest and ear aspect (r =
059) plant husk (r = 061) as well between plant
husk and ear aspect (r = 082) while the associations
between plant harvest and ear aspect (r = 057) plant
husk (r = 064) and ear harvest (r = 090) were strong
and positive (Table 12) The association between the
stover weight and periods of exposure is positive and
insignificant while the correlation between total
number of grains and grain weight per stand was
positive and strong (r = 099) The association
between the periods of exposure and grain weight per
stand total number of grain was negative and
significant with r = ndash046 and ndash048 respectively The
cultivars are positive and strongly related with the
periods of exposure at r = 070 (Table 12) The
correlation between total number of grains and grain
weight per stand however was positive and significant
with r = 099 (Table 13)
Molecular Plant Breeding 2016 Vol7 No01 1ndash10
httpmpbbiopublisherca
8
Table 12 Correlation matrix of the agronomic characters of maize
Replicates Day to plant
emergence
Cultivars Periods of
exposure
Plant
stand
Plant aspect Mutation
tolerance
Ear
aspect
Plant
husk
Ear
harvest
Plant
harvest
Replicates
Days to plant
emergence
005
Cultivars 000 038
Periods of exposure 000 006 000
Plant stand ndash075 039 015 076
Plant aspect ndash036 036 015 010 096
Mutation tolerance ndash003 037 017 010 097 096
Ear aspect ndash011 016 ndash002 015 026 024 020
Plant husk ndash007 023 ndash011 027 024 022 018 082
Ear harvest ndash014 022 ndash009 009 021 015 017 059 061
Plant harvest ndash012 022 ndash039 013 025 018 017 057 064 090
Highly significant at plt001 Significant at plt005
Molecular Plant Breeding 2016 Vol7 No01 1ndash10
httpmpbbiopublisherca
9
Table 13 Correlation matrix of yield characters of six cultivars of maize
Stover weight Grain weight per stand Total number of
grains
Replicate Periods of exposure
Stover weight
Grain weight per stand 014
Total number of grains 015 099
Replicates 006 ndash01 ndash011
Periods of exposure 008 ndash016 ndash016 000
Cultivars ndash021 ndash013 ndash012 000 000
4 Discussion
The reduction in the growth characters at 8 and 10
WAP for number of leaves and 10 WAP for plant
height leaf length and leaf width could be due to
mutagenic effect of UV radiation on maize as
similarly reported by Teramura (1983) There were
variations in the contribution of the genotypic effect
on growth performance of maize ARTOB98SW1
showed greater tolerance to the mutagenic effect of
the UV radiation while OBA 98 could not tolerate the
varied exposure periods This could be due to the
differences in the genetic makendashup of the maize
cultivars The performance of ARTOB98SW1 and
ART0B98SW6 could also be attributed to the high
quality protein contents in maize (Olakojo 2004
Olaoye et al 2009 Bello et al 2014a) The least
mean values of days to plant emergence for
ARTOB98SW1 compared to 10ndash5ndashW and other
cultivars showed that they have early maturity traits as
similarly reported by Olawuyi et al (2010 2013)
This could be due to presence of early and maturing
genes present in the quality protein maize
ARTOB98SW6 10ndash1ndashY and ARTOB98 SW1 had
higher tolerance to mutagenic effect of UV radiation
This could be due to the presence of tolerant genes
present in the maize cultivars Olakojo and Kogbe
(2003) Olawuyi et al (2011) and Bello et al (2014b)
had earlier reported tolerance of quality protein maize
cultivars to Stiga lutea and resistance to drought
Maize grain weight and total number of grains at 20
minutes and control showed the best tolerance to UV
radiation compared to other periods Though the
performance of stover weight at 100 minutes as well
as at 80 and 100 minutes for grain weight and total
number of grains could be due to the contribution of
the mutation tolerant gene present in some of the
cultivars particularly the quality protein maize OBA
98 and ARTOB98SW1 performed appreciably in all
the yield characters compared to other cultivars The
superior performance of these cultivars revealed their
tolerant potential to the mutagenic effect of the UV
radiation
5 Conclusion and recommendations
The quality protein maize cultivars not only showed
greater tolerance to mutagenic effect of the UV
radiation but were outstanding in grain yield
compared to other cultivars It appears that the effect
on exposure to UV radiation did not have deleterious
effect on the growth and agronomic characters of
maize but cause reduction in grain yield on exposure
to UV radiation at longer periods Therefore quality
protein maize cultivars should be improved by
introgression of favourable genes of drought tolerance
grain yield and related characters through induced
mutation of UV radiation The characters evaluated
from correlation analysis should further be
encouraged and explored in the breeding programmes
References
Acharya SN Thomas JE and Basu SK 2007 Improvement in the
medicinal and nutritional properties of fenugreek (Trigonella
foenumgraecum L) In Acharya SN and Thomas JE(eds)
Advances in medicinal plant researchResearch Signpost
Trivandrum Kerala India
Ahloowalia BS Maluszynski M and Nichterlein K 2004 Global
impact of mutation derived varieties Euphytica 135 187ndash204
Anderson PC and Georgeson M 1989 Herbicidendashtolerant mutants of
corn Genome 31 994ndash999
Beadle GW and Tatum EL 1941 Genetic control of biochemical
reactions in Neurospora PNAS 27 (11) 499ndash506
Bello OB and Olaoye G (2009) Combining ability for maize grain yield
and other agronomic characters in a typical southern Guinea savanna
ecology of Nigeria African Journal of Biotechnology 8(11) 2518 ndash
2522
httpwwwacademicjournalsorgjpbcsPDFpdf2009 JuneOlaoye 20and20Bellopdf
Bello OB Afolabi MS Ige SA Abdulmaliq SY Azeez M A and
Molecular Plant Breeding 2016 Vol7 No01 1ndash10
httpmpbbiopublisherca
10
Mahamud J 2011 Yield Response of diallelic crossed maize (Zea
mays L) cultivars to varying nitrogen regimes in Nigeria Journal
of BiondashSciences 19 43ndash52
httpwwwBanglajolInfoIndexPhpJbsIndex
Bello OB Abdulmaliq SY Ige SA Mahamood J Oluleye F Azeez
MA and Afolabi MS 2012 Evaluation of early and
late intermediate maize varieties for grain yield potential and
adaptation to a southern Guinea savanna agrondashecology of Nigeria
Scholarly Journal of Agricultural Science 2(3) 42ndash51 http
wwwscholarlyndashjournalscomSJAS
Bello OB Olawuyi OJ Ige SA Mahamood J Afolabi MS Azeez
MA and Abdulmaliq SY 2014a Agrondashnutritional variations of
quality protein maize (Zea mays L) in Nigeria Journal of
Agricultural Sciences 59(2) 101ndash116
httpwwwdoiserbianbrsftaspxid=1450ndash81091
402101B 11
Bello OB Olawuyi OJ Abdulmaliq SY Ige S A Mahamood J
Azeez M A and Afolabi MS 2014b Yield performance and
adaptation of early and intermediate droughtndashtolerant maize
cultivars in Guinea savanna of Nigeria Sarhad Journal of
Agriculture 30(1) 53ndash66
httpwwwbanglajolinfoindexphpJBSindex
Bello OB Olawuyi OJ Lawal M Ige SA Mahamood J Afolabi
MS Azeez M A and Abdulmaliq SY 2014c Genetic gains in
three breeding eras of maize hybrids under low and optimum
nitrogen fertilization Journal of Agricultural Sciences 59(3)
227ndash242
httpwwwjoasagrifbgacrssitesjoasagrifbgacrsfilesarticlepdf
379ndash02ndash690_bello_et_alpdf 6
Boyer CD Hannah LC 1994 Kernel mutants of corn Chapter 1 In
AR Hallauer ed Specialty corns CRC Press Inc Boca Raton
USA pp 1ndash28
Caldwell K Henshaw L and Taylor G 2011 Developing a framework
for Critiquing health research Nursing Fires 103(17) 32ndash33
CIMMYT 2003 The development and promotion quality protein
maize in subndashSaharan Africa Progress report submitted to Nippon
Foundation Harare Zimbabawe
EllneskogndashStaam P Henry Loaisiga C Merker A 2007 Chromosome
Cndashbanding of the teosinte Zea nicaraguensis and comparison to other
Zea species Hereditas 144 96ndash101
Fapohunda SO Olawuyi OJ Bello OB and Lawal T 2013
Comparative shoot responses of two Nigerian crops to Glomus
clarum and other fertilizers Greener Journal of Agricultural
Sciences 3(4) 280ndash285
httpwwwgjournalsorgGJASGJAS20Pdf
Fapohunda20et20alpdf
Javed I Ahsan M Ahmad HM and Ali Q 2016 Role of mutation
breeding to improve Mungbean (Vigna radiata L Wilczek) yield An
overview Nature Science 14(1) 63ndash77
httpwwwsciencepubnetnature 9 doi107537marsnsj14011609
Mano Y Omori F Muraki M and Takamizo T 2005 QTL mapping of
adventitious root formation under flooding conditions in tropical maize
(Zea mays L) seedlings Breeding Science 55 343ndash347
httpdxdoiorg101270jsbbs55343
Mertz ET Bates LS and Nelson OE 1964 Mutant gene that changes
protein composition and increases lysine content of maize endosperm
Science 145 279ndash280
httpdxdoiorg101126science1453629279
Messing J and Dooner HK 2006 Organization and variability of the
maize genome Current Opinion in Plant Biology 9(2) 157ndash163
httpdxdoiorg101016jpbi200601009
Misra PS Jambunathan R Mertz ET Glover DV Barbosa HM and
McWhirter KS 1972 Endosperm protein synthesis in maize mutants
with increased lysine content Science 176(4042) 1425ndash1427
httpdxdoiorg101126science17640421425
Mochida K Tsujimoto H and Sasakuma T 2004 Confocal analysis of
chromosome behavior in wheat x maize zygotes Genome 47(1)
199ndash205 httpdxdoiorg101139g03ndash123
Newhouse K Singh B Shaner D Stidham M 1991 Mutations in corn
(Zea mays L) conferring resistance to imidazolinone herbicides
Theoretical and Applied Genetics 83 65ndash70
Olakojo SA and Kogbe JOS 2003 Reaction of maize to infestation
with the witch weed (Striga lutea) Moor Journal of Agricultural
research 4210ndash217
Olakojo SA 2004 Evaluation of maize inbred lines for tolerance to
Striga lutea in southern guinea savanna ecology Food agriculture
and Environment 2 256ndash259
Olaoye G Bello OB Ajani AK Ademuwagun T K 2009 Breeding
for improved organoleptic and nutritionally acceptable green maize
varieties by crossing sweet corn (Zea mays saccharata) Changes in
quantitative and qualitative characteristics in F1 hybrids and F2
population Journal of plant breeding and Crop science 1(9)
298ndash305
httpwwwacademicjournalsorgjpbcsPDFpdf2009
NovemberOlaoye20et20alpdf
Olawuyi OJ Odebode AC AlfarndashAbdullahi A Olakojo SA and
Adesoye AI 2010 Performance of maize cultivars and
arbuscularmycorrhizal fungi in Samara district of South west region of
DohandashQatar Nigeria journal of mycology 3(1) 86ndash100
Olawuyi OJ Odebode AC Olakojo SA and Adesoye AI 2011 Host
parasite relationship of maize (Zea mays L) and Strigalutea(Lour) as
influenced by Arbuscular mycorrhizal fungi Journal of Science
research 10(2)186ndash198
Olawuyi OJ Odebode AC and Olakojo SA 2013 Cultivar treatments
concentration interaction and characters association in maize (Zea
mays L) under Arbuscular mycorrhizal fungi and Striga lutea (Lour)
In KnowndashNdung EH Ogah DM Yakubu A editors proceedings of
the 37th
Annual Conference of Genetics Society of Nigeria Oct 21ndash24
Lafia Federal University pp 210ndash223
Olawuyi OJ Bello OB Ntube CV and Akanmu AO 2015 Progress
from selection of some maize cultivarsrsquo response to drought in the
derived savanna of Nigeria AGRIVITA Journal of Agricultural
Science 37(1) 8ndash17
httpwwwagrivitaubacidindexphpagrivita
articleview485
Paliwal RL Granados G Lafitte HR Violic AD Maratheacutee JP 2000
Tropical Maize Improvement and Production Food and Agriculture
Organization of the United Nations Rome pp 1ndash3
Rabinowicz PD Bennetzen JL 2006 The maize genome as a model for
efficient sequence analysis of large plant genomes Current Opinion in
Plant Biology 9(2) 149ndash 156
httpdxdoiorg101016jpbi200601015
Molecular Plant Breeding 2016 Vol7 No01 1ndash10
httpmpbbiopublisherca
11
RierandashLizarazu O Rines HW and Phillips RL 1996 Cytological and
molecular characterization of oat x maize partial hybrids Theoretical
and Applied Genetics 93(1ndash2) 123ndash135
httpdxdoiorg101007BF00225737
Singletary GW 2003 Genetic modification of corn Chapter 21 In White
PJ Johnson LA eds Corn chemistry and technology Edition 2nd
American Association of Cereal Chemists Inc St Paul Minesota
USA pp 751ndash782
Srinivasan G Zaidi PH Singh NN and Sanchez C 2004 Increasing
productivity through genetic improvement for tolerance to drought and
excessndashmoisture stress in maize (Zea mays L) Seng V Craswell E
Fukai S and Fischer K eds Australian Centre for International
Agricultural Research Canberra pp 227ndash239
Shah TM Mirza JI Haq MA and Atta BM2008 Induced genetic
Tan S Evans RR Dahmer ML Singh BK Shaner DL 2005
Imidazolinonendashtolerant crops history current status and future Pest
Management Science 61 246ndash257
Tanigawa H Katsumi S Shunsuke F Norikazu O Tetsuhiro S Eji K
variability in chickpea (Cicer arietinum L) II Comparative
mutagenic effectiveness and efficiency of physical and chemical
mutagens Pakistan Journal of Botany 40 605ndash613
Teramura AH 1983 Effects of ultravioletndashB radiation on the growth and
yield of crop plants Physiologia Plantarum 58(3) 415ndash427
Statistical Application Software Institute (2009) Statistical Application
Software (SAS) system for windows version 92 Vol 5 SAS Institute
Cary NC USA
White CN Proebsting WM Hedden P Rivin CJ 2000 Gibberellins and
seeddevelopment in maize I Evidence that gibberellin abscisic acid
balance governs germination versus maturation pathways Plant
Physiology 122(4) 1081ndash1088
httpdxdoiorg101104pp12241081
Molecular Plant Breeding 2016 Vol7 No01 1ndash10
httpmpbbiopublisherca
5
Table 6 shows that there were significant effect
(plt005) of different exposure periods of UV radiation
on days to plant emergence ear aspect plant husk ear
harvest and plant harvest while plant stand plant
aspect and mutation tolerance produced similar effect
The period of exposure at 100 minutes was higher and
highly tolerant than other exposures for days to plant
emergence mutation tolerance and other agronomic
characters The ear aspect at 40 and 80 minutes as
well as control and 60 minutes were not significantly
different Table 7 shows that the exposure period of
stover weight at 100 minutes is significantly higher
(plt005) than other periods while grain weight and
total number of grains at 20 minutes are significantly
higher but not different from the control The periods
of exposure at 40 and 60 minutes as well as 80 and
100 minutes did not differ from each other for grain
weight and total number of grains Table 8 shows that
all the growth characters in Cultivar ARTOB98SW1
are significantly higher than other cultivars The leaf
length leaf width and number of leaves of
ARTOB98SW1 were not significantly different from
10ndash5ndashW The number of leaves for 3ndash1ndash4 was not
significantly different from 10ndash5ndashW and
ARTndashOBndash98ndashSW1 OBA 98 had significant reduction
in mean values for all the growth characters but not
different from the plant height of 10ndash1ndashY The height
status for OBA 98 and 10ndash1ndashY as well as the leaf
length and leaf width for 10ndash1ndashY and
ARTOB98SW6 were not significantly different
from one another On the other hand
ARTOB98SW6 was outstanding for days to
emergence and other agronomic characters compared
to other cultivars while 10ndash5ndashW was the worst
ARTOB98SW6 10ndash1ndashY and ARTOB98SW1
were the most tolerant cultivars to mutagenic effect of
UV radiation while 3ndash1ndash4 was most susceptible
There was an excellent contribution of genotypic
effect on ear aspect plant husk ear harvest and plant
harvest for all the cultivars though
Table 6 Different exposure periods of UV radiation on mutation tolerance and agronomic character of maize
Exposure
periods of UV
radiation
( minutes)
Days to
plant
emergence
Plant stand Plant
aspect
Mutation
tolerance
Ear aspect Plant husk Ear harvest Plant
harvest
0 439ab 156ab 144ab 222ab 033c 106ab 100ab 100b
20 433ab 172ab 139ab 239ab 078b 111ab 167ab 194b
40 411ab 106ab 159ab 211ab 167ab 167ab 211a 283ab
60 428ab 167ab 156ab 256ab 033c 056b 061b 067c
80 378b 189ab 189ab 294ab 172ab 167ab 167ab 217ab
100 511a 361a 249a 411a 211a 289a 294a 339a
Means with the same letter in the same column are not significantly different at plt 005 using Duncanrsquos multiple range test
Mutational tolerance Highly tolerant 1ndash3 moderately tolerant 4ndash6 moderately susceptible 7ndash8 highly susceptible 9 Drought
tolerant rating 1 is excellent 2 is good 3 is fairly good 4 is fair 5 is poor
Table 7 Effect of different exposure periods of UV radiation on the yield characters of maize
Periods of exposure of UV radiation
(minutes)
Stover weight(g) Grain weight per stand (g) Total number of grains
0 121ab 049a 239a
20 147ab 063a 283a
40 123ab 003c 006c
60 023c 002c 006c
80 127ab 011b 061b
100 229a 015b 056b
Means with the same letters in the same column are not significantly different at pgt005 using Duncanrsquos multiple range test
Molecular Plant Breeding 2016 Vol7 No01 1ndash10
httpmpbbiopublisherca
6
Table 8 Genotypic effect on growth characters of maize
Cultivars Plant height(cm) Leaf length(cm) Leaf width Number of leaves
Oba 98 5312d 3316c 182c 421c
10ndash1ndashY 5835d 3761bc 220bc 479bc
ARTOB98SW6 6122cd 3943bc 221bc 531ab
3ndash1ndash4 6991bc 4471b 256ab 574a
10ndash5ndashW 7944ab 5255a 271a 580a
ARTOB98SW1 8658a 5536a 297a 606a
Means with the same letter in the same column are not significantly different at pgt005 using Duncanrsquos multiple range tests (DMRT)
better than OBA 98 (Table 9) Table 10 shows
significant differences (plt005) in genotypic effect on
the yield characters of maize The mean values of
stover weight for ARTOB98SW1 and
ARTOB98SW6 were not significantly different
from each other The grain weight per stand for OBA
98 and ARTOB98SW1 were not significantly
different but higher and different from other maize
cultivars The cultivars 10ndash5ndashW and 10ndash1ndashY for grain
weight per stand were not different from each other
but higher and significantly different from cultivar
3ndash1ndash4 The total number of grains for
ART0B98SW1 and ARTOB98SW6 were
significantly (plt005) higher but different from other
cultivars The plant height was positive and strongly
correlated (plt001) with leaf length leaf width and
number of leaves with r = 095 096 089 respectively
The associations among plant height treatments and
cultivars were positively insignificant (Table 11) The
leaf width was positive and strongly related with plant
height and leaf length with r = 095 and 094
respectively There were strong positive associations
between number of leaves and plant height leaf length
and leaf width with r = 089 089 and 095
respectively Only the periods of exposure was
positive and strongly correlated with leaf width (r =
079) (Table 11)
Table 9 Genotypic effect on agronomic characters and mutation tolerance of maize
Cultivars
Days to
plant
emergence
Plant
stand
Plant
aspect
Mutation
Tolerance
Ear
aspect
Plant
husk Ear harvest
Plant
harvest
ARTOB98SW6 244b 100c 083c 133c 050c 089c 067c 078c
OBA98 444a 211b 194abc 306b 250a 261a 278a 333a
ARTOB98SW1 422a 144c 139bc 194c 156ab 189ab 178ab 222ab
(10ndash5ndashW) 506a 194c 200ab 311b 089c 139b 106b 144bc
(3ndash1ndash4) 500a 317a 267a 506a 122b 106b 133b 156bc
(10ndash1ndashY) 483a 128c 122bc 183c 128b 111b 139b 167bc
Means with different letters in the same column are not significantly different at plt005
Table 10 Effect of cultivars on the yield characters of maize
Cultivars Stover weight(g) Grain weight
per stand(g)
Total number
of grains
ART OB98SW6 178ab 075a 300a
OBA98 255a 071a 289ab
ARTOB98SW1 190ab 064ab 333a
10ndash5ndashW 060bc 006b 022b
3ndash1ndash4 024c 000c 000c
10ndash1ndashY 103b 001b 006bc
Means with the same letter in the same column are not significantly different at plt005 using Duncanrsquos multiple range test
Molecular Plant Breeding 2016 Vol7 No01 1ndash10
httpmpbbiopublisherca
7
Table 11 Correlation matrix of growth characters of maize
Plant
height
Leaf
length
Leaf
width
Number of
leaves Replicates WAP Treatment
Plant height
Leaf length 095
Leaf width 096 094
Number of leaves 089 089 093
Replicate 003 ndash002 ndash004 ndash004
WAP 035 022 027 017 003
Treatment 009 011 079 013 003 002
Cultivars 002 003ns 006 011 007 002 004
plt001 plt005 Treatment = Periods of exposure
Table 12 shows that there was positive and strong
associations between plant stand with plant aspect and
mutation tolerance at r = 096 and 097 respectively
while negative and strong relationship existed between
plant stand and replicates with r = ndash075 Also plant
stand was positive and strongly related with periods of
exposure and plant aspect at r = 076 and 096
respectively There were significant and positive
correlations between ear harvest and ear aspect (r =
059) plant husk (r = 061) as well between plant
husk and ear aspect (r = 082) while the associations
between plant harvest and ear aspect (r = 057) plant
husk (r = 064) and ear harvest (r = 090) were strong
and positive (Table 12) The association between the
stover weight and periods of exposure is positive and
insignificant while the correlation between total
number of grains and grain weight per stand was
positive and strong (r = 099) The association
between the periods of exposure and grain weight per
stand total number of grain was negative and
significant with r = ndash046 and ndash048 respectively The
cultivars are positive and strongly related with the
periods of exposure at r = 070 (Table 12) The
correlation between total number of grains and grain
weight per stand however was positive and significant
with r = 099 (Table 13)
Molecular Plant Breeding 2016 Vol7 No01 1ndash10
httpmpbbiopublisherca
8
Table 12 Correlation matrix of the agronomic characters of maize
Replicates Day to plant
emergence
Cultivars Periods of
exposure
Plant
stand
Plant aspect Mutation
tolerance
Ear
aspect
Plant
husk
Ear
harvest
Plant
harvest
Replicates
Days to plant
emergence
005
Cultivars 000 038
Periods of exposure 000 006 000
Plant stand ndash075 039 015 076
Plant aspect ndash036 036 015 010 096
Mutation tolerance ndash003 037 017 010 097 096
Ear aspect ndash011 016 ndash002 015 026 024 020
Plant husk ndash007 023 ndash011 027 024 022 018 082
Ear harvest ndash014 022 ndash009 009 021 015 017 059 061
Plant harvest ndash012 022 ndash039 013 025 018 017 057 064 090
Highly significant at plt001 Significant at plt005
Molecular Plant Breeding 2016 Vol7 No01 1ndash10
httpmpbbiopublisherca
9
Table 13 Correlation matrix of yield characters of six cultivars of maize
Stover weight Grain weight per stand Total number of
grains
Replicate Periods of exposure
Stover weight
Grain weight per stand 014
Total number of grains 015 099
Replicates 006 ndash01 ndash011
Periods of exposure 008 ndash016 ndash016 000
Cultivars ndash021 ndash013 ndash012 000 000
4 Discussion
The reduction in the growth characters at 8 and 10
WAP for number of leaves and 10 WAP for plant
height leaf length and leaf width could be due to
mutagenic effect of UV radiation on maize as
similarly reported by Teramura (1983) There were
variations in the contribution of the genotypic effect
on growth performance of maize ARTOB98SW1
showed greater tolerance to the mutagenic effect of
the UV radiation while OBA 98 could not tolerate the
varied exposure periods This could be due to the
differences in the genetic makendashup of the maize
cultivars The performance of ARTOB98SW1 and
ART0B98SW6 could also be attributed to the high
quality protein contents in maize (Olakojo 2004
Olaoye et al 2009 Bello et al 2014a) The least
mean values of days to plant emergence for
ARTOB98SW1 compared to 10ndash5ndashW and other
cultivars showed that they have early maturity traits as
similarly reported by Olawuyi et al (2010 2013)
This could be due to presence of early and maturing
genes present in the quality protein maize
ARTOB98SW6 10ndash1ndashY and ARTOB98 SW1 had
higher tolerance to mutagenic effect of UV radiation
This could be due to the presence of tolerant genes
present in the maize cultivars Olakojo and Kogbe
(2003) Olawuyi et al (2011) and Bello et al (2014b)
had earlier reported tolerance of quality protein maize
cultivars to Stiga lutea and resistance to drought
Maize grain weight and total number of grains at 20
minutes and control showed the best tolerance to UV
radiation compared to other periods Though the
performance of stover weight at 100 minutes as well
as at 80 and 100 minutes for grain weight and total
number of grains could be due to the contribution of
the mutation tolerant gene present in some of the
cultivars particularly the quality protein maize OBA
98 and ARTOB98SW1 performed appreciably in all
the yield characters compared to other cultivars The
superior performance of these cultivars revealed their
tolerant potential to the mutagenic effect of the UV
radiation
5 Conclusion and recommendations
The quality protein maize cultivars not only showed
greater tolerance to mutagenic effect of the UV
radiation but were outstanding in grain yield
compared to other cultivars It appears that the effect
on exposure to UV radiation did not have deleterious
effect on the growth and agronomic characters of
maize but cause reduction in grain yield on exposure
to UV radiation at longer periods Therefore quality
protein maize cultivars should be improved by
introgression of favourable genes of drought tolerance
grain yield and related characters through induced
mutation of UV radiation The characters evaluated
from correlation analysis should further be
encouraged and explored in the breeding programmes
References
Acharya SN Thomas JE and Basu SK 2007 Improvement in the
medicinal and nutritional properties of fenugreek (Trigonella
foenumgraecum L) In Acharya SN and Thomas JE(eds)
Advances in medicinal plant researchResearch Signpost
Trivandrum Kerala India
Ahloowalia BS Maluszynski M and Nichterlein K 2004 Global
impact of mutation derived varieties Euphytica 135 187ndash204
Anderson PC and Georgeson M 1989 Herbicidendashtolerant mutants of
corn Genome 31 994ndash999
Beadle GW and Tatum EL 1941 Genetic control of biochemical
reactions in Neurospora PNAS 27 (11) 499ndash506
Bello OB and Olaoye G (2009) Combining ability for maize grain yield
and other agronomic characters in a typical southern Guinea savanna
ecology of Nigeria African Journal of Biotechnology 8(11) 2518 ndash
2522
httpwwwacademicjournalsorgjpbcsPDFpdf2009 JuneOlaoye 20and20Bellopdf
Bello OB Afolabi MS Ige SA Abdulmaliq SY Azeez M A and
Molecular Plant Breeding 2016 Vol7 No01 1ndash10
httpmpbbiopublisherca
10
Mahamud J 2011 Yield Response of diallelic crossed maize (Zea
mays L) cultivars to varying nitrogen regimes in Nigeria Journal
of BiondashSciences 19 43ndash52
httpwwwBanglajolInfoIndexPhpJbsIndex
Bello OB Abdulmaliq SY Ige SA Mahamood J Oluleye F Azeez
MA and Afolabi MS 2012 Evaluation of early and
late intermediate maize varieties for grain yield potential and
adaptation to a southern Guinea savanna agrondashecology of Nigeria
Scholarly Journal of Agricultural Science 2(3) 42ndash51 http
wwwscholarlyndashjournalscomSJAS
Bello OB Olawuyi OJ Ige SA Mahamood J Afolabi MS Azeez
MA and Abdulmaliq SY 2014a Agrondashnutritional variations of
quality protein maize (Zea mays L) in Nigeria Journal of
Agricultural Sciences 59(2) 101ndash116
httpwwwdoiserbianbrsftaspxid=1450ndash81091
402101B 11
Bello OB Olawuyi OJ Abdulmaliq SY Ige S A Mahamood J
Azeez M A and Afolabi MS 2014b Yield performance and
adaptation of early and intermediate droughtndashtolerant maize
cultivars in Guinea savanna of Nigeria Sarhad Journal of
Agriculture 30(1) 53ndash66
httpwwwbanglajolinfoindexphpJBSindex
Bello OB Olawuyi OJ Lawal M Ige SA Mahamood J Afolabi
MS Azeez M A and Abdulmaliq SY 2014c Genetic gains in
three breeding eras of maize hybrids under low and optimum
nitrogen fertilization Journal of Agricultural Sciences 59(3)
227ndash242
httpwwwjoasagrifbgacrssitesjoasagrifbgacrsfilesarticlepdf
379ndash02ndash690_bello_et_alpdf 6
Boyer CD Hannah LC 1994 Kernel mutants of corn Chapter 1 In
AR Hallauer ed Specialty corns CRC Press Inc Boca Raton
USA pp 1ndash28
Caldwell K Henshaw L and Taylor G 2011 Developing a framework
for Critiquing health research Nursing Fires 103(17) 32ndash33
CIMMYT 2003 The development and promotion quality protein
maize in subndashSaharan Africa Progress report submitted to Nippon
Foundation Harare Zimbabawe
EllneskogndashStaam P Henry Loaisiga C Merker A 2007 Chromosome
Cndashbanding of the teosinte Zea nicaraguensis and comparison to other
Zea species Hereditas 144 96ndash101
Fapohunda SO Olawuyi OJ Bello OB and Lawal T 2013
Comparative shoot responses of two Nigerian crops to Glomus
clarum and other fertilizers Greener Journal of Agricultural
Sciences 3(4) 280ndash285
httpwwwgjournalsorgGJASGJAS20Pdf
Fapohunda20et20alpdf
Javed I Ahsan M Ahmad HM and Ali Q 2016 Role of mutation
breeding to improve Mungbean (Vigna radiata L Wilczek) yield An
overview Nature Science 14(1) 63ndash77
httpwwwsciencepubnetnature 9 doi107537marsnsj14011609
Mano Y Omori F Muraki M and Takamizo T 2005 QTL mapping of
adventitious root formation under flooding conditions in tropical maize
(Zea mays L) seedlings Breeding Science 55 343ndash347
httpdxdoiorg101270jsbbs55343
Mertz ET Bates LS and Nelson OE 1964 Mutant gene that changes
protein composition and increases lysine content of maize endosperm
Science 145 279ndash280
httpdxdoiorg101126science1453629279
Messing J and Dooner HK 2006 Organization and variability of the
maize genome Current Opinion in Plant Biology 9(2) 157ndash163
httpdxdoiorg101016jpbi200601009
Misra PS Jambunathan R Mertz ET Glover DV Barbosa HM and
McWhirter KS 1972 Endosperm protein synthesis in maize mutants
with increased lysine content Science 176(4042) 1425ndash1427
httpdxdoiorg101126science17640421425
Mochida K Tsujimoto H and Sasakuma T 2004 Confocal analysis of
chromosome behavior in wheat x maize zygotes Genome 47(1)
199ndash205 httpdxdoiorg101139g03ndash123
Newhouse K Singh B Shaner D Stidham M 1991 Mutations in corn
(Zea mays L) conferring resistance to imidazolinone herbicides
Theoretical and Applied Genetics 83 65ndash70
Olakojo SA and Kogbe JOS 2003 Reaction of maize to infestation
with the witch weed (Striga lutea) Moor Journal of Agricultural
research 4210ndash217
Olakojo SA 2004 Evaluation of maize inbred lines for tolerance to
Striga lutea in southern guinea savanna ecology Food agriculture
and Environment 2 256ndash259
Olaoye G Bello OB Ajani AK Ademuwagun T K 2009 Breeding
for improved organoleptic and nutritionally acceptable green maize
varieties by crossing sweet corn (Zea mays saccharata) Changes in
quantitative and qualitative characteristics in F1 hybrids and F2
population Journal of plant breeding and Crop science 1(9)
298ndash305
httpwwwacademicjournalsorgjpbcsPDFpdf2009
NovemberOlaoye20et20alpdf
Olawuyi OJ Odebode AC AlfarndashAbdullahi A Olakojo SA and
Adesoye AI 2010 Performance of maize cultivars and
arbuscularmycorrhizal fungi in Samara district of South west region of
DohandashQatar Nigeria journal of mycology 3(1) 86ndash100
Olawuyi OJ Odebode AC Olakojo SA and Adesoye AI 2011 Host
parasite relationship of maize (Zea mays L) and Strigalutea(Lour) as
influenced by Arbuscular mycorrhizal fungi Journal of Science
research 10(2)186ndash198
Olawuyi OJ Odebode AC and Olakojo SA 2013 Cultivar treatments
concentration interaction and characters association in maize (Zea
mays L) under Arbuscular mycorrhizal fungi and Striga lutea (Lour)
In KnowndashNdung EH Ogah DM Yakubu A editors proceedings of
the 37th
Annual Conference of Genetics Society of Nigeria Oct 21ndash24
Lafia Federal University pp 210ndash223
Olawuyi OJ Bello OB Ntube CV and Akanmu AO 2015 Progress
from selection of some maize cultivarsrsquo response to drought in the
derived savanna of Nigeria AGRIVITA Journal of Agricultural
Science 37(1) 8ndash17
httpwwwagrivitaubacidindexphpagrivita
articleview485
Paliwal RL Granados G Lafitte HR Violic AD Maratheacutee JP 2000
Tropical Maize Improvement and Production Food and Agriculture
Organization of the United Nations Rome pp 1ndash3
Rabinowicz PD Bennetzen JL 2006 The maize genome as a model for
efficient sequence analysis of large plant genomes Current Opinion in
Plant Biology 9(2) 149ndash 156
httpdxdoiorg101016jpbi200601015
Molecular Plant Breeding 2016 Vol7 No01 1ndash10
httpmpbbiopublisherca
11
RierandashLizarazu O Rines HW and Phillips RL 1996 Cytological and
molecular characterization of oat x maize partial hybrids Theoretical
and Applied Genetics 93(1ndash2) 123ndash135
httpdxdoiorg101007BF00225737
Singletary GW 2003 Genetic modification of corn Chapter 21 In White
PJ Johnson LA eds Corn chemistry and technology Edition 2nd
American Association of Cereal Chemists Inc St Paul Minesota
USA pp 751ndash782
Srinivasan G Zaidi PH Singh NN and Sanchez C 2004 Increasing
productivity through genetic improvement for tolerance to drought and
excessndashmoisture stress in maize (Zea mays L) Seng V Craswell E
Fukai S and Fischer K eds Australian Centre for International
Agricultural Research Canberra pp 227ndash239
Shah TM Mirza JI Haq MA and Atta BM2008 Induced genetic
Tan S Evans RR Dahmer ML Singh BK Shaner DL 2005
Imidazolinonendashtolerant crops history current status and future Pest
Management Science 61 246ndash257
Tanigawa H Katsumi S Shunsuke F Norikazu O Tetsuhiro S Eji K
variability in chickpea (Cicer arietinum L) II Comparative
mutagenic effectiveness and efficiency of physical and chemical
mutagens Pakistan Journal of Botany 40 605ndash613
Teramura AH 1983 Effects of ultravioletndashB radiation on the growth and
yield of crop plants Physiologia Plantarum 58(3) 415ndash427
Statistical Application Software Institute (2009) Statistical Application
Software (SAS) system for windows version 92 Vol 5 SAS Institute
Cary NC USA
White CN Proebsting WM Hedden P Rivin CJ 2000 Gibberellins and
seeddevelopment in maize I Evidence that gibberellin abscisic acid
balance governs germination versus maturation pathways Plant
Physiology 122(4) 1081ndash1088
httpdxdoiorg101104pp12241081
Molecular Plant Breeding 2016 Vol7 No01 1ndash10
httpmpbbiopublisherca
6
Table 8 Genotypic effect on growth characters of maize
Cultivars Plant height(cm) Leaf length(cm) Leaf width Number of leaves
Oba 98 5312d 3316c 182c 421c
10ndash1ndashY 5835d 3761bc 220bc 479bc
ARTOB98SW6 6122cd 3943bc 221bc 531ab
3ndash1ndash4 6991bc 4471b 256ab 574a
10ndash5ndashW 7944ab 5255a 271a 580a
ARTOB98SW1 8658a 5536a 297a 606a
Means with the same letter in the same column are not significantly different at pgt005 using Duncanrsquos multiple range tests (DMRT)
better than OBA 98 (Table 9) Table 10 shows
significant differences (plt005) in genotypic effect on
the yield characters of maize The mean values of
stover weight for ARTOB98SW1 and
ARTOB98SW6 were not significantly different
from each other The grain weight per stand for OBA
98 and ARTOB98SW1 were not significantly
different but higher and different from other maize
cultivars The cultivars 10ndash5ndashW and 10ndash1ndashY for grain
weight per stand were not different from each other
but higher and significantly different from cultivar
3ndash1ndash4 The total number of grains for
ART0B98SW1 and ARTOB98SW6 were
significantly (plt005) higher but different from other
cultivars The plant height was positive and strongly
correlated (plt001) with leaf length leaf width and
number of leaves with r = 095 096 089 respectively
The associations among plant height treatments and
cultivars were positively insignificant (Table 11) The
leaf width was positive and strongly related with plant
height and leaf length with r = 095 and 094
respectively There were strong positive associations
between number of leaves and plant height leaf length
and leaf width with r = 089 089 and 095
respectively Only the periods of exposure was
positive and strongly correlated with leaf width (r =
079) (Table 11)
Table 9 Genotypic effect on agronomic characters and mutation tolerance of maize
Cultivars
Days to
plant
emergence
Plant
stand
Plant
aspect
Mutation
Tolerance
Ear
aspect
Plant
husk Ear harvest
Plant
harvest
ARTOB98SW6 244b 100c 083c 133c 050c 089c 067c 078c
OBA98 444a 211b 194abc 306b 250a 261a 278a 333a
ARTOB98SW1 422a 144c 139bc 194c 156ab 189ab 178ab 222ab
(10ndash5ndashW) 506a 194c 200ab 311b 089c 139b 106b 144bc
(3ndash1ndash4) 500a 317a 267a 506a 122b 106b 133b 156bc
(10ndash1ndashY) 483a 128c 122bc 183c 128b 111b 139b 167bc
Means with different letters in the same column are not significantly different at plt005
Table 10 Effect of cultivars on the yield characters of maize
Cultivars Stover weight(g) Grain weight
per stand(g)
Total number
of grains
ART OB98SW6 178ab 075a 300a
OBA98 255a 071a 289ab
ARTOB98SW1 190ab 064ab 333a
10ndash5ndashW 060bc 006b 022b
3ndash1ndash4 024c 000c 000c
10ndash1ndashY 103b 001b 006bc
Means with the same letter in the same column are not significantly different at plt005 using Duncanrsquos multiple range test
Molecular Plant Breeding 2016 Vol7 No01 1ndash10
httpmpbbiopublisherca
7
Table 11 Correlation matrix of growth characters of maize
Plant
height
Leaf
length
Leaf
width
Number of
leaves Replicates WAP Treatment
Plant height
Leaf length 095
Leaf width 096 094
Number of leaves 089 089 093
Replicate 003 ndash002 ndash004 ndash004
WAP 035 022 027 017 003
Treatment 009 011 079 013 003 002
Cultivars 002 003ns 006 011 007 002 004
plt001 plt005 Treatment = Periods of exposure
Table 12 shows that there was positive and strong
associations between plant stand with plant aspect and
mutation tolerance at r = 096 and 097 respectively
while negative and strong relationship existed between
plant stand and replicates with r = ndash075 Also plant
stand was positive and strongly related with periods of
exposure and plant aspect at r = 076 and 096
respectively There were significant and positive
correlations between ear harvest and ear aspect (r =
059) plant husk (r = 061) as well between plant
husk and ear aspect (r = 082) while the associations
between plant harvest and ear aspect (r = 057) plant
husk (r = 064) and ear harvest (r = 090) were strong
and positive (Table 12) The association between the
stover weight and periods of exposure is positive and
insignificant while the correlation between total
number of grains and grain weight per stand was
positive and strong (r = 099) The association
between the periods of exposure and grain weight per
stand total number of grain was negative and
significant with r = ndash046 and ndash048 respectively The
cultivars are positive and strongly related with the
periods of exposure at r = 070 (Table 12) The
correlation between total number of grains and grain
weight per stand however was positive and significant
with r = 099 (Table 13)
Molecular Plant Breeding 2016 Vol7 No01 1ndash10
httpmpbbiopublisherca
8
Table 12 Correlation matrix of the agronomic characters of maize
Replicates Day to plant
emergence
Cultivars Periods of
exposure
Plant
stand
Plant aspect Mutation
tolerance
Ear
aspect
Plant
husk
Ear
harvest
Plant
harvest
Replicates
Days to plant
emergence
005
Cultivars 000 038
Periods of exposure 000 006 000
Plant stand ndash075 039 015 076
Plant aspect ndash036 036 015 010 096
Mutation tolerance ndash003 037 017 010 097 096
Ear aspect ndash011 016 ndash002 015 026 024 020
Plant husk ndash007 023 ndash011 027 024 022 018 082
Ear harvest ndash014 022 ndash009 009 021 015 017 059 061
Plant harvest ndash012 022 ndash039 013 025 018 017 057 064 090
Highly significant at plt001 Significant at plt005
Molecular Plant Breeding 2016 Vol7 No01 1ndash10
httpmpbbiopublisherca
9
Table 13 Correlation matrix of yield characters of six cultivars of maize
Stover weight Grain weight per stand Total number of
grains
Replicate Periods of exposure
Stover weight
Grain weight per stand 014
Total number of grains 015 099
Replicates 006 ndash01 ndash011
Periods of exposure 008 ndash016 ndash016 000
Cultivars ndash021 ndash013 ndash012 000 000
4 Discussion
The reduction in the growth characters at 8 and 10
WAP for number of leaves and 10 WAP for plant
height leaf length and leaf width could be due to
mutagenic effect of UV radiation on maize as
similarly reported by Teramura (1983) There were
variations in the contribution of the genotypic effect
on growth performance of maize ARTOB98SW1
showed greater tolerance to the mutagenic effect of
the UV radiation while OBA 98 could not tolerate the
varied exposure periods This could be due to the
differences in the genetic makendashup of the maize
cultivars The performance of ARTOB98SW1 and
ART0B98SW6 could also be attributed to the high
quality protein contents in maize (Olakojo 2004
Olaoye et al 2009 Bello et al 2014a) The least
mean values of days to plant emergence for
ARTOB98SW1 compared to 10ndash5ndashW and other
cultivars showed that they have early maturity traits as
similarly reported by Olawuyi et al (2010 2013)
This could be due to presence of early and maturing
genes present in the quality protein maize
ARTOB98SW6 10ndash1ndashY and ARTOB98 SW1 had
higher tolerance to mutagenic effect of UV radiation
This could be due to the presence of tolerant genes
present in the maize cultivars Olakojo and Kogbe
(2003) Olawuyi et al (2011) and Bello et al (2014b)
had earlier reported tolerance of quality protein maize
cultivars to Stiga lutea and resistance to drought
Maize grain weight and total number of grains at 20
minutes and control showed the best tolerance to UV
radiation compared to other periods Though the
performance of stover weight at 100 minutes as well
as at 80 and 100 minutes for grain weight and total
number of grains could be due to the contribution of
the mutation tolerant gene present in some of the
cultivars particularly the quality protein maize OBA
98 and ARTOB98SW1 performed appreciably in all
the yield characters compared to other cultivars The
superior performance of these cultivars revealed their
tolerant potential to the mutagenic effect of the UV
radiation
5 Conclusion and recommendations
The quality protein maize cultivars not only showed
greater tolerance to mutagenic effect of the UV
radiation but were outstanding in grain yield
compared to other cultivars It appears that the effect
on exposure to UV radiation did not have deleterious
effect on the growth and agronomic characters of
maize but cause reduction in grain yield on exposure
to UV radiation at longer periods Therefore quality
protein maize cultivars should be improved by
introgression of favourable genes of drought tolerance
grain yield and related characters through induced
mutation of UV radiation The characters evaluated
from correlation analysis should further be
encouraged and explored in the breeding programmes
References
Acharya SN Thomas JE and Basu SK 2007 Improvement in the
medicinal and nutritional properties of fenugreek (Trigonella
foenumgraecum L) In Acharya SN and Thomas JE(eds)
Advances in medicinal plant researchResearch Signpost
Trivandrum Kerala India
Ahloowalia BS Maluszynski M and Nichterlein K 2004 Global
impact of mutation derived varieties Euphytica 135 187ndash204
Anderson PC and Georgeson M 1989 Herbicidendashtolerant mutants of
corn Genome 31 994ndash999
Beadle GW and Tatum EL 1941 Genetic control of biochemical
reactions in Neurospora PNAS 27 (11) 499ndash506
Bello OB and Olaoye G (2009) Combining ability for maize grain yield
and other agronomic characters in a typical southern Guinea savanna
ecology of Nigeria African Journal of Biotechnology 8(11) 2518 ndash
2522
httpwwwacademicjournalsorgjpbcsPDFpdf2009 JuneOlaoye 20and20Bellopdf
Bello OB Afolabi MS Ige SA Abdulmaliq SY Azeez M A and
Molecular Plant Breeding 2016 Vol7 No01 1ndash10
httpmpbbiopublisherca
10
Mahamud J 2011 Yield Response of diallelic crossed maize (Zea
mays L) cultivars to varying nitrogen regimes in Nigeria Journal
of BiondashSciences 19 43ndash52
httpwwwBanglajolInfoIndexPhpJbsIndex
Bello OB Abdulmaliq SY Ige SA Mahamood J Oluleye F Azeez
MA and Afolabi MS 2012 Evaluation of early and
late intermediate maize varieties for grain yield potential and
adaptation to a southern Guinea savanna agrondashecology of Nigeria
Scholarly Journal of Agricultural Science 2(3) 42ndash51 http
wwwscholarlyndashjournalscomSJAS
Bello OB Olawuyi OJ Ige SA Mahamood J Afolabi MS Azeez
MA and Abdulmaliq SY 2014a Agrondashnutritional variations of
quality protein maize (Zea mays L) in Nigeria Journal of
Agricultural Sciences 59(2) 101ndash116
httpwwwdoiserbianbrsftaspxid=1450ndash81091
402101B 11
Bello OB Olawuyi OJ Abdulmaliq SY Ige S A Mahamood J
Azeez M A and Afolabi MS 2014b Yield performance and
adaptation of early and intermediate droughtndashtolerant maize
cultivars in Guinea savanna of Nigeria Sarhad Journal of
Agriculture 30(1) 53ndash66
httpwwwbanglajolinfoindexphpJBSindex
Bello OB Olawuyi OJ Lawal M Ige SA Mahamood J Afolabi
MS Azeez M A and Abdulmaliq SY 2014c Genetic gains in
three breeding eras of maize hybrids under low and optimum
nitrogen fertilization Journal of Agricultural Sciences 59(3)
227ndash242
httpwwwjoasagrifbgacrssitesjoasagrifbgacrsfilesarticlepdf
379ndash02ndash690_bello_et_alpdf 6
Boyer CD Hannah LC 1994 Kernel mutants of corn Chapter 1 In
AR Hallauer ed Specialty corns CRC Press Inc Boca Raton
USA pp 1ndash28
Caldwell K Henshaw L and Taylor G 2011 Developing a framework
for Critiquing health research Nursing Fires 103(17) 32ndash33
CIMMYT 2003 The development and promotion quality protein
maize in subndashSaharan Africa Progress report submitted to Nippon
Foundation Harare Zimbabawe
EllneskogndashStaam P Henry Loaisiga C Merker A 2007 Chromosome
Cndashbanding of the teosinte Zea nicaraguensis and comparison to other
Zea species Hereditas 144 96ndash101
Fapohunda SO Olawuyi OJ Bello OB and Lawal T 2013
Comparative shoot responses of two Nigerian crops to Glomus
clarum and other fertilizers Greener Journal of Agricultural
Sciences 3(4) 280ndash285
httpwwwgjournalsorgGJASGJAS20Pdf
Fapohunda20et20alpdf
Javed I Ahsan M Ahmad HM and Ali Q 2016 Role of mutation
breeding to improve Mungbean (Vigna radiata L Wilczek) yield An
overview Nature Science 14(1) 63ndash77
httpwwwsciencepubnetnature 9 doi107537marsnsj14011609
Mano Y Omori F Muraki M and Takamizo T 2005 QTL mapping of
adventitious root formation under flooding conditions in tropical maize
(Zea mays L) seedlings Breeding Science 55 343ndash347
httpdxdoiorg101270jsbbs55343
Mertz ET Bates LS and Nelson OE 1964 Mutant gene that changes
protein composition and increases lysine content of maize endosperm
Science 145 279ndash280
httpdxdoiorg101126science1453629279
Messing J and Dooner HK 2006 Organization and variability of the
maize genome Current Opinion in Plant Biology 9(2) 157ndash163
httpdxdoiorg101016jpbi200601009
Misra PS Jambunathan R Mertz ET Glover DV Barbosa HM and
McWhirter KS 1972 Endosperm protein synthesis in maize mutants
with increased lysine content Science 176(4042) 1425ndash1427
httpdxdoiorg101126science17640421425
Mochida K Tsujimoto H and Sasakuma T 2004 Confocal analysis of
chromosome behavior in wheat x maize zygotes Genome 47(1)
199ndash205 httpdxdoiorg101139g03ndash123
Newhouse K Singh B Shaner D Stidham M 1991 Mutations in corn
(Zea mays L) conferring resistance to imidazolinone herbicides
Theoretical and Applied Genetics 83 65ndash70
Olakojo SA and Kogbe JOS 2003 Reaction of maize to infestation
with the witch weed (Striga lutea) Moor Journal of Agricultural
research 4210ndash217
Olakojo SA 2004 Evaluation of maize inbred lines for tolerance to
Striga lutea in southern guinea savanna ecology Food agriculture
and Environment 2 256ndash259
Olaoye G Bello OB Ajani AK Ademuwagun T K 2009 Breeding
for improved organoleptic and nutritionally acceptable green maize
varieties by crossing sweet corn (Zea mays saccharata) Changes in
quantitative and qualitative characteristics in F1 hybrids and F2
population Journal of plant breeding and Crop science 1(9)
298ndash305
httpwwwacademicjournalsorgjpbcsPDFpdf2009
NovemberOlaoye20et20alpdf
Olawuyi OJ Odebode AC AlfarndashAbdullahi A Olakojo SA and
Adesoye AI 2010 Performance of maize cultivars and
arbuscularmycorrhizal fungi in Samara district of South west region of
DohandashQatar Nigeria journal of mycology 3(1) 86ndash100
Olawuyi OJ Odebode AC Olakojo SA and Adesoye AI 2011 Host
parasite relationship of maize (Zea mays L) and Strigalutea(Lour) as
influenced by Arbuscular mycorrhizal fungi Journal of Science
research 10(2)186ndash198
Olawuyi OJ Odebode AC and Olakojo SA 2013 Cultivar treatments
concentration interaction and characters association in maize (Zea
mays L) under Arbuscular mycorrhizal fungi and Striga lutea (Lour)
In KnowndashNdung EH Ogah DM Yakubu A editors proceedings of
the 37th
Annual Conference of Genetics Society of Nigeria Oct 21ndash24
Lafia Federal University pp 210ndash223
Olawuyi OJ Bello OB Ntube CV and Akanmu AO 2015 Progress
from selection of some maize cultivarsrsquo response to drought in the
derived savanna of Nigeria AGRIVITA Journal of Agricultural
Science 37(1) 8ndash17
httpwwwagrivitaubacidindexphpagrivita
articleview485
Paliwal RL Granados G Lafitte HR Violic AD Maratheacutee JP 2000
Tropical Maize Improvement and Production Food and Agriculture
Organization of the United Nations Rome pp 1ndash3
Rabinowicz PD Bennetzen JL 2006 The maize genome as a model for
efficient sequence analysis of large plant genomes Current Opinion in
Plant Biology 9(2) 149ndash 156
httpdxdoiorg101016jpbi200601015
Molecular Plant Breeding 2016 Vol7 No01 1ndash10
httpmpbbiopublisherca
11
RierandashLizarazu O Rines HW and Phillips RL 1996 Cytological and
molecular characterization of oat x maize partial hybrids Theoretical
and Applied Genetics 93(1ndash2) 123ndash135
httpdxdoiorg101007BF00225737
Singletary GW 2003 Genetic modification of corn Chapter 21 In White
PJ Johnson LA eds Corn chemistry and technology Edition 2nd
American Association of Cereal Chemists Inc St Paul Minesota
USA pp 751ndash782
Srinivasan G Zaidi PH Singh NN and Sanchez C 2004 Increasing
productivity through genetic improvement for tolerance to drought and
excessndashmoisture stress in maize (Zea mays L) Seng V Craswell E
Fukai S and Fischer K eds Australian Centre for International
Agricultural Research Canberra pp 227ndash239
Shah TM Mirza JI Haq MA and Atta BM2008 Induced genetic
Tan S Evans RR Dahmer ML Singh BK Shaner DL 2005
Imidazolinonendashtolerant crops history current status and future Pest
Management Science 61 246ndash257
Tanigawa H Katsumi S Shunsuke F Norikazu O Tetsuhiro S Eji K
variability in chickpea (Cicer arietinum L) II Comparative
mutagenic effectiveness and efficiency of physical and chemical
mutagens Pakistan Journal of Botany 40 605ndash613
Teramura AH 1983 Effects of ultravioletndashB radiation on the growth and
yield of crop plants Physiologia Plantarum 58(3) 415ndash427
Statistical Application Software Institute (2009) Statistical Application
Software (SAS) system for windows version 92 Vol 5 SAS Institute
Cary NC USA
White CN Proebsting WM Hedden P Rivin CJ 2000 Gibberellins and
seeddevelopment in maize I Evidence that gibberellin abscisic acid
balance governs germination versus maturation pathways Plant
Physiology 122(4) 1081ndash1088
httpdxdoiorg101104pp12241081
Molecular Plant Breeding 2016 Vol7 No01 1ndash10
httpmpbbiopublisherca
7
Table 11 Correlation matrix of growth characters of maize
Plant
height
Leaf
length
Leaf
width
Number of
leaves Replicates WAP Treatment
Plant height
Leaf length 095
Leaf width 096 094
Number of leaves 089 089 093
Replicate 003 ndash002 ndash004 ndash004
WAP 035 022 027 017 003
Treatment 009 011 079 013 003 002
Cultivars 002 003ns 006 011 007 002 004
plt001 plt005 Treatment = Periods of exposure
Table 12 shows that there was positive and strong
associations between plant stand with plant aspect and
mutation tolerance at r = 096 and 097 respectively
while negative and strong relationship existed between
plant stand and replicates with r = ndash075 Also plant
stand was positive and strongly related with periods of
exposure and plant aspect at r = 076 and 096
respectively There were significant and positive
correlations between ear harvest and ear aspect (r =
059) plant husk (r = 061) as well between plant
husk and ear aspect (r = 082) while the associations
between plant harvest and ear aspect (r = 057) plant
husk (r = 064) and ear harvest (r = 090) were strong
and positive (Table 12) The association between the
stover weight and periods of exposure is positive and
insignificant while the correlation between total
number of grains and grain weight per stand was
positive and strong (r = 099) The association
between the periods of exposure and grain weight per
stand total number of grain was negative and
significant with r = ndash046 and ndash048 respectively The
cultivars are positive and strongly related with the
periods of exposure at r = 070 (Table 12) The
correlation between total number of grains and grain
weight per stand however was positive and significant
with r = 099 (Table 13)
Molecular Plant Breeding 2016 Vol7 No01 1ndash10
httpmpbbiopublisherca
8
Table 12 Correlation matrix of the agronomic characters of maize
Replicates Day to plant
emergence
Cultivars Periods of
exposure
Plant
stand
Plant aspect Mutation
tolerance
Ear
aspect
Plant
husk
Ear
harvest
Plant
harvest
Replicates
Days to plant
emergence
005
Cultivars 000 038
Periods of exposure 000 006 000
Plant stand ndash075 039 015 076
Plant aspect ndash036 036 015 010 096
Mutation tolerance ndash003 037 017 010 097 096
Ear aspect ndash011 016 ndash002 015 026 024 020
Plant husk ndash007 023 ndash011 027 024 022 018 082
Ear harvest ndash014 022 ndash009 009 021 015 017 059 061
Plant harvest ndash012 022 ndash039 013 025 018 017 057 064 090
Highly significant at plt001 Significant at plt005
Molecular Plant Breeding 2016 Vol7 No01 1ndash10
httpmpbbiopublisherca
9
Table 13 Correlation matrix of yield characters of six cultivars of maize
Stover weight Grain weight per stand Total number of
grains
Replicate Periods of exposure
Stover weight
Grain weight per stand 014
Total number of grains 015 099
Replicates 006 ndash01 ndash011
Periods of exposure 008 ndash016 ndash016 000
Cultivars ndash021 ndash013 ndash012 000 000
4 Discussion
The reduction in the growth characters at 8 and 10
WAP for number of leaves and 10 WAP for plant
height leaf length and leaf width could be due to
mutagenic effect of UV radiation on maize as
similarly reported by Teramura (1983) There were
variations in the contribution of the genotypic effect
on growth performance of maize ARTOB98SW1
showed greater tolerance to the mutagenic effect of
the UV radiation while OBA 98 could not tolerate the
varied exposure periods This could be due to the
differences in the genetic makendashup of the maize
cultivars The performance of ARTOB98SW1 and
ART0B98SW6 could also be attributed to the high
quality protein contents in maize (Olakojo 2004
Olaoye et al 2009 Bello et al 2014a) The least
mean values of days to plant emergence for
ARTOB98SW1 compared to 10ndash5ndashW and other
cultivars showed that they have early maturity traits as
similarly reported by Olawuyi et al (2010 2013)
This could be due to presence of early and maturing
genes present in the quality protein maize
ARTOB98SW6 10ndash1ndashY and ARTOB98 SW1 had
higher tolerance to mutagenic effect of UV radiation
This could be due to the presence of tolerant genes
present in the maize cultivars Olakojo and Kogbe
(2003) Olawuyi et al (2011) and Bello et al (2014b)
had earlier reported tolerance of quality protein maize
cultivars to Stiga lutea and resistance to drought
Maize grain weight and total number of grains at 20
minutes and control showed the best tolerance to UV
radiation compared to other periods Though the
performance of stover weight at 100 minutes as well
as at 80 and 100 minutes for grain weight and total
number of grains could be due to the contribution of
the mutation tolerant gene present in some of the
cultivars particularly the quality protein maize OBA
98 and ARTOB98SW1 performed appreciably in all
the yield characters compared to other cultivars The
superior performance of these cultivars revealed their
tolerant potential to the mutagenic effect of the UV
radiation
5 Conclusion and recommendations
The quality protein maize cultivars not only showed
greater tolerance to mutagenic effect of the UV
radiation but were outstanding in grain yield
compared to other cultivars It appears that the effect
on exposure to UV radiation did not have deleterious
effect on the growth and agronomic characters of
maize but cause reduction in grain yield on exposure
to UV radiation at longer periods Therefore quality
protein maize cultivars should be improved by
introgression of favourable genes of drought tolerance
grain yield and related characters through induced
mutation of UV radiation The characters evaluated
from correlation analysis should further be
encouraged and explored in the breeding programmes
References
Acharya SN Thomas JE and Basu SK 2007 Improvement in the
medicinal and nutritional properties of fenugreek (Trigonella
foenumgraecum L) In Acharya SN and Thomas JE(eds)
Advances in medicinal plant researchResearch Signpost
Trivandrum Kerala India
Ahloowalia BS Maluszynski M and Nichterlein K 2004 Global
impact of mutation derived varieties Euphytica 135 187ndash204
Anderson PC and Georgeson M 1989 Herbicidendashtolerant mutants of
corn Genome 31 994ndash999
Beadle GW and Tatum EL 1941 Genetic control of biochemical
reactions in Neurospora PNAS 27 (11) 499ndash506
Bello OB and Olaoye G (2009) Combining ability for maize grain yield
and other agronomic characters in a typical southern Guinea savanna
ecology of Nigeria African Journal of Biotechnology 8(11) 2518 ndash
2522
httpwwwacademicjournalsorgjpbcsPDFpdf2009 JuneOlaoye 20and20Bellopdf
Bello OB Afolabi MS Ige SA Abdulmaliq SY Azeez M A and
Molecular Plant Breeding 2016 Vol7 No01 1ndash10
httpmpbbiopublisherca
10
Mahamud J 2011 Yield Response of diallelic crossed maize (Zea
mays L) cultivars to varying nitrogen regimes in Nigeria Journal
of BiondashSciences 19 43ndash52
httpwwwBanglajolInfoIndexPhpJbsIndex
Bello OB Abdulmaliq SY Ige SA Mahamood J Oluleye F Azeez
MA and Afolabi MS 2012 Evaluation of early and
late intermediate maize varieties for grain yield potential and
adaptation to a southern Guinea savanna agrondashecology of Nigeria
Scholarly Journal of Agricultural Science 2(3) 42ndash51 http
wwwscholarlyndashjournalscomSJAS
Bello OB Olawuyi OJ Ige SA Mahamood J Afolabi MS Azeez
MA and Abdulmaliq SY 2014a Agrondashnutritional variations of
quality protein maize (Zea mays L) in Nigeria Journal of
Agricultural Sciences 59(2) 101ndash116
httpwwwdoiserbianbrsftaspxid=1450ndash81091
402101B 11
Bello OB Olawuyi OJ Abdulmaliq SY Ige S A Mahamood J
Azeez M A and Afolabi MS 2014b Yield performance and
adaptation of early and intermediate droughtndashtolerant maize
cultivars in Guinea savanna of Nigeria Sarhad Journal of
Agriculture 30(1) 53ndash66
httpwwwbanglajolinfoindexphpJBSindex
Bello OB Olawuyi OJ Lawal M Ige SA Mahamood J Afolabi
MS Azeez M A and Abdulmaliq SY 2014c Genetic gains in
three breeding eras of maize hybrids under low and optimum
nitrogen fertilization Journal of Agricultural Sciences 59(3)
227ndash242
httpwwwjoasagrifbgacrssitesjoasagrifbgacrsfilesarticlepdf
379ndash02ndash690_bello_et_alpdf 6
Boyer CD Hannah LC 1994 Kernel mutants of corn Chapter 1 In
AR Hallauer ed Specialty corns CRC Press Inc Boca Raton
USA pp 1ndash28
Caldwell K Henshaw L and Taylor G 2011 Developing a framework
for Critiquing health research Nursing Fires 103(17) 32ndash33
CIMMYT 2003 The development and promotion quality protein
maize in subndashSaharan Africa Progress report submitted to Nippon
Foundation Harare Zimbabawe
EllneskogndashStaam P Henry Loaisiga C Merker A 2007 Chromosome
Cndashbanding of the teosinte Zea nicaraguensis and comparison to other
Zea species Hereditas 144 96ndash101
Fapohunda SO Olawuyi OJ Bello OB and Lawal T 2013
Comparative shoot responses of two Nigerian crops to Glomus
clarum and other fertilizers Greener Journal of Agricultural
Sciences 3(4) 280ndash285
httpwwwgjournalsorgGJASGJAS20Pdf
Fapohunda20et20alpdf
Javed I Ahsan M Ahmad HM and Ali Q 2016 Role of mutation
breeding to improve Mungbean (Vigna radiata L Wilczek) yield An
overview Nature Science 14(1) 63ndash77
httpwwwsciencepubnetnature 9 doi107537marsnsj14011609
Mano Y Omori F Muraki M and Takamizo T 2005 QTL mapping of
adventitious root formation under flooding conditions in tropical maize
(Zea mays L) seedlings Breeding Science 55 343ndash347
httpdxdoiorg101270jsbbs55343
Mertz ET Bates LS and Nelson OE 1964 Mutant gene that changes
protein composition and increases lysine content of maize endosperm
Science 145 279ndash280
httpdxdoiorg101126science1453629279
Messing J and Dooner HK 2006 Organization and variability of the
maize genome Current Opinion in Plant Biology 9(2) 157ndash163
httpdxdoiorg101016jpbi200601009
Misra PS Jambunathan R Mertz ET Glover DV Barbosa HM and
McWhirter KS 1972 Endosperm protein synthesis in maize mutants
with increased lysine content Science 176(4042) 1425ndash1427
httpdxdoiorg101126science17640421425
Mochida K Tsujimoto H and Sasakuma T 2004 Confocal analysis of
chromosome behavior in wheat x maize zygotes Genome 47(1)
199ndash205 httpdxdoiorg101139g03ndash123
Newhouse K Singh B Shaner D Stidham M 1991 Mutations in corn
(Zea mays L) conferring resistance to imidazolinone herbicides
Theoretical and Applied Genetics 83 65ndash70
Olakojo SA and Kogbe JOS 2003 Reaction of maize to infestation
with the witch weed (Striga lutea) Moor Journal of Agricultural
research 4210ndash217
Olakojo SA 2004 Evaluation of maize inbred lines for tolerance to
Striga lutea in southern guinea savanna ecology Food agriculture
and Environment 2 256ndash259
Olaoye G Bello OB Ajani AK Ademuwagun T K 2009 Breeding
for improved organoleptic and nutritionally acceptable green maize
varieties by crossing sweet corn (Zea mays saccharata) Changes in
quantitative and qualitative characteristics in F1 hybrids and F2
population Journal of plant breeding and Crop science 1(9)
298ndash305
httpwwwacademicjournalsorgjpbcsPDFpdf2009
NovemberOlaoye20et20alpdf
Olawuyi OJ Odebode AC AlfarndashAbdullahi A Olakojo SA and
Adesoye AI 2010 Performance of maize cultivars and
arbuscularmycorrhizal fungi in Samara district of South west region of
DohandashQatar Nigeria journal of mycology 3(1) 86ndash100
Olawuyi OJ Odebode AC Olakojo SA and Adesoye AI 2011 Host
parasite relationship of maize (Zea mays L) and Strigalutea(Lour) as
influenced by Arbuscular mycorrhizal fungi Journal of Science
research 10(2)186ndash198
Olawuyi OJ Odebode AC and Olakojo SA 2013 Cultivar treatments
concentration interaction and characters association in maize (Zea
mays L) under Arbuscular mycorrhizal fungi and Striga lutea (Lour)
In KnowndashNdung EH Ogah DM Yakubu A editors proceedings of
the 37th
Annual Conference of Genetics Society of Nigeria Oct 21ndash24
Lafia Federal University pp 210ndash223
Olawuyi OJ Bello OB Ntube CV and Akanmu AO 2015 Progress
from selection of some maize cultivarsrsquo response to drought in the
derived savanna of Nigeria AGRIVITA Journal of Agricultural
Science 37(1) 8ndash17
httpwwwagrivitaubacidindexphpagrivita
articleview485
Paliwal RL Granados G Lafitte HR Violic AD Maratheacutee JP 2000
Tropical Maize Improvement and Production Food and Agriculture
Organization of the United Nations Rome pp 1ndash3
Rabinowicz PD Bennetzen JL 2006 The maize genome as a model for
efficient sequence analysis of large plant genomes Current Opinion in
Plant Biology 9(2) 149ndash 156
httpdxdoiorg101016jpbi200601015
Molecular Plant Breeding 2016 Vol7 No01 1ndash10
httpmpbbiopublisherca
11
RierandashLizarazu O Rines HW and Phillips RL 1996 Cytological and
molecular characterization of oat x maize partial hybrids Theoretical
and Applied Genetics 93(1ndash2) 123ndash135
httpdxdoiorg101007BF00225737
Singletary GW 2003 Genetic modification of corn Chapter 21 In White
PJ Johnson LA eds Corn chemistry and technology Edition 2nd
American Association of Cereal Chemists Inc St Paul Minesota
USA pp 751ndash782
Srinivasan G Zaidi PH Singh NN and Sanchez C 2004 Increasing
productivity through genetic improvement for tolerance to drought and
excessndashmoisture stress in maize (Zea mays L) Seng V Craswell E
Fukai S and Fischer K eds Australian Centre for International
Agricultural Research Canberra pp 227ndash239
Shah TM Mirza JI Haq MA and Atta BM2008 Induced genetic
Tan S Evans RR Dahmer ML Singh BK Shaner DL 2005
Imidazolinonendashtolerant crops history current status and future Pest
Management Science 61 246ndash257
Tanigawa H Katsumi S Shunsuke F Norikazu O Tetsuhiro S Eji K
variability in chickpea (Cicer arietinum L) II Comparative
mutagenic effectiveness and efficiency of physical and chemical
mutagens Pakistan Journal of Botany 40 605ndash613
Teramura AH 1983 Effects of ultravioletndashB radiation on the growth and
yield of crop plants Physiologia Plantarum 58(3) 415ndash427
Statistical Application Software Institute (2009) Statistical Application
Software (SAS) system for windows version 92 Vol 5 SAS Institute
Cary NC USA
White CN Proebsting WM Hedden P Rivin CJ 2000 Gibberellins and
seeddevelopment in maize I Evidence that gibberellin abscisic acid
balance governs germination versus maturation pathways Plant
Physiology 122(4) 1081ndash1088
httpdxdoiorg101104pp12241081
Molecular Plant Breeding 2016 Vol7 No01 1ndash10
httpmpbbiopublisherca
8
Table 12 Correlation matrix of the agronomic characters of maize
Replicates Day to plant
emergence
Cultivars Periods of
exposure
Plant
stand
Plant aspect Mutation
tolerance
Ear
aspect
Plant
husk
Ear
harvest
Plant
harvest
Replicates
Days to plant
emergence
005
Cultivars 000 038
Periods of exposure 000 006 000
Plant stand ndash075 039 015 076
Plant aspect ndash036 036 015 010 096
Mutation tolerance ndash003 037 017 010 097 096
Ear aspect ndash011 016 ndash002 015 026 024 020
Plant husk ndash007 023 ndash011 027 024 022 018 082
Ear harvest ndash014 022 ndash009 009 021 015 017 059 061
Plant harvest ndash012 022 ndash039 013 025 018 017 057 064 090
Highly significant at plt001 Significant at plt005
Molecular Plant Breeding 2016 Vol7 No01 1ndash10
httpmpbbiopublisherca
9
Table 13 Correlation matrix of yield characters of six cultivars of maize
Stover weight Grain weight per stand Total number of
grains
Replicate Periods of exposure
Stover weight
Grain weight per stand 014
Total number of grains 015 099
Replicates 006 ndash01 ndash011
Periods of exposure 008 ndash016 ndash016 000
Cultivars ndash021 ndash013 ndash012 000 000
4 Discussion
The reduction in the growth characters at 8 and 10
WAP for number of leaves and 10 WAP for plant
height leaf length and leaf width could be due to
mutagenic effect of UV radiation on maize as
similarly reported by Teramura (1983) There were
variations in the contribution of the genotypic effect
on growth performance of maize ARTOB98SW1
showed greater tolerance to the mutagenic effect of
the UV radiation while OBA 98 could not tolerate the
varied exposure periods This could be due to the
differences in the genetic makendashup of the maize
cultivars The performance of ARTOB98SW1 and
ART0B98SW6 could also be attributed to the high
quality protein contents in maize (Olakojo 2004
Olaoye et al 2009 Bello et al 2014a) The least
mean values of days to plant emergence for
ARTOB98SW1 compared to 10ndash5ndashW and other
cultivars showed that they have early maturity traits as
similarly reported by Olawuyi et al (2010 2013)
This could be due to presence of early and maturing
genes present in the quality protein maize
ARTOB98SW6 10ndash1ndashY and ARTOB98 SW1 had
higher tolerance to mutagenic effect of UV radiation
This could be due to the presence of tolerant genes
present in the maize cultivars Olakojo and Kogbe
(2003) Olawuyi et al (2011) and Bello et al (2014b)
had earlier reported tolerance of quality protein maize
cultivars to Stiga lutea and resistance to drought
Maize grain weight and total number of grains at 20
minutes and control showed the best tolerance to UV
radiation compared to other periods Though the
performance of stover weight at 100 minutes as well
as at 80 and 100 minutes for grain weight and total
number of grains could be due to the contribution of
the mutation tolerant gene present in some of the
cultivars particularly the quality protein maize OBA
98 and ARTOB98SW1 performed appreciably in all
the yield characters compared to other cultivars The
superior performance of these cultivars revealed their
tolerant potential to the mutagenic effect of the UV
radiation
5 Conclusion and recommendations
The quality protein maize cultivars not only showed
greater tolerance to mutagenic effect of the UV
radiation but were outstanding in grain yield
compared to other cultivars It appears that the effect
on exposure to UV radiation did not have deleterious
effect on the growth and agronomic characters of
maize but cause reduction in grain yield on exposure
to UV radiation at longer periods Therefore quality
protein maize cultivars should be improved by
introgression of favourable genes of drought tolerance
grain yield and related characters through induced
mutation of UV radiation The characters evaluated
from correlation analysis should further be
encouraged and explored in the breeding programmes
References
Acharya SN Thomas JE and Basu SK 2007 Improvement in the
medicinal and nutritional properties of fenugreek (Trigonella
foenumgraecum L) In Acharya SN and Thomas JE(eds)
Advances in medicinal plant researchResearch Signpost
Trivandrum Kerala India
Ahloowalia BS Maluszynski M and Nichterlein K 2004 Global
impact of mutation derived varieties Euphytica 135 187ndash204
Anderson PC and Georgeson M 1989 Herbicidendashtolerant mutants of
corn Genome 31 994ndash999
Beadle GW and Tatum EL 1941 Genetic control of biochemical
reactions in Neurospora PNAS 27 (11) 499ndash506
Bello OB and Olaoye G (2009) Combining ability for maize grain yield
and other agronomic characters in a typical southern Guinea savanna
ecology of Nigeria African Journal of Biotechnology 8(11) 2518 ndash
2522
httpwwwacademicjournalsorgjpbcsPDFpdf2009 JuneOlaoye 20and20Bellopdf
Bello OB Afolabi MS Ige SA Abdulmaliq SY Azeez M A and
Molecular Plant Breeding 2016 Vol7 No01 1ndash10
httpmpbbiopublisherca
10
Mahamud J 2011 Yield Response of diallelic crossed maize (Zea
mays L) cultivars to varying nitrogen regimes in Nigeria Journal
of BiondashSciences 19 43ndash52
httpwwwBanglajolInfoIndexPhpJbsIndex
Bello OB Abdulmaliq SY Ige SA Mahamood J Oluleye F Azeez
MA and Afolabi MS 2012 Evaluation of early and
late intermediate maize varieties for grain yield potential and
adaptation to a southern Guinea savanna agrondashecology of Nigeria
Scholarly Journal of Agricultural Science 2(3) 42ndash51 http
wwwscholarlyndashjournalscomSJAS
Bello OB Olawuyi OJ Ige SA Mahamood J Afolabi MS Azeez
MA and Abdulmaliq SY 2014a Agrondashnutritional variations of
quality protein maize (Zea mays L) in Nigeria Journal of
Agricultural Sciences 59(2) 101ndash116
httpwwwdoiserbianbrsftaspxid=1450ndash81091
402101B 11
Bello OB Olawuyi OJ Abdulmaliq SY Ige S A Mahamood J
Azeez M A and Afolabi MS 2014b Yield performance and
adaptation of early and intermediate droughtndashtolerant maize
cultivars in Guinea savanna of Nigeria Sarhad Journal of
Agriculture 30(1) 53ndash66
httpwwwbanglajolinfoindexphpJBSindex
Bello OB Olawuyi OJ Lawal M Ige SA Mahamood J Afolabi
MS Azeez M A and Abdulmaliq SY 2014c Genetic gains in
three breeding eras of maize hybrids under low and optimum
nitrogen fertilization Journal of Agricultural Sciences 59(3)
227ndash242
httpwwwjoasagrifbgacrssitesjoasagrifbgacrsfilesarticlepdf
379ndash02ndash690_bello_et_alpdf 6
Boyer CD Hannah LC 1994 Kernel mutants of corn Chapter 1 In
AR Hallauer ed Specialty corns CRC Press Inc Boca Raton
USA pp 1ndash28
Caldwell K Henshaw L and Taylor G 2011 Developing a framework
for Critiquing health research Nursing Fires 103(17) 32ndash33
CIMMYT 2003 The development and promotion quality protein
maize in subndashSaharan Africa Progress report submitted to Nippon
Foundation Harare Zimbabawe
EllneskogndashStaam P Henry Loaisiga C Merker A 2007 Chromosome
Cndashbanding of the teosinte Zea nicaraguensis and comparison to other
Zea species Hereditas 144 96ndash101
Fapohunda SO Olawuyi OJ Bello OB and Lawal T 2013
Comparative shoot responses of two Nigerian crops to Glomus
clarum and other fertilizers Greener Journal of Agricultural
Sciences 3(4) 280ndash285
httpwwwgjournalsorgGJASGJAS20Pdf
Fapohunda20et20alpdf
Javed I Ahsan M Ahmad HM and Ali Q 2016 Role of mutation
breeding to improve Mungbean (Vigna radiata L Wilczek) yield An
overview Nature Science 14(1) 63ndash77
httpwwwsciencepubnetnature 9 doi107537marsnsj14011609
Mano Y Omori F Muraki M and Takamizo T 2005 QTL mapping of
adventitious root formation under flooding conditions in tropical maize
(Zea mays L) seedlings Breeding Science 55 343ndash347
httpdxdoiorg101270jsbbs55343
Mertz ET Bates LS and Nelson OE 1964 Mutant gene that changes
protein composition and increases lysine content of maize endosperm
Science 145 279ndash280
httpdxdoiorg101126science1453629279
Messing J and Dooner HK 2006 Organization and variability of the
maize genome Current Opinion in Plant Biology 9(2) 157ndash163
httpdxdoiorg101016jpbi200601009
Misra PS Jambunathan R Mertz ET Glover DV Barbosa HM and
McWhirter KS 1972 Endosperm protein synthesis in maize mutants
with increased lysine content Science 176(4042) 1425ndash1427
httpdxdoiorg101126science17640421425
Mochida K Tsujimoto H and Sasakuma T 2004 Confocal analysis of
chromosome behavior in wheat x maize zygotes Genome 47(1)
199ndash205 httpdxdoiorg101139g03ndash123
Newhouse K Singh B Shaner D Stidham M 1991 Mutations in corn
(Zea mays L) conferring resistance to imidazolinone herbicides
Theoretical and Applied Genetics 83 65ndash70
Olakojo SA and Kogbe JOS 2003 Reaction of maize to infestation
with the witch weed (Striga lutea) Moor Journal of Agricultural
research 4210ndash217
Olakojo SA 2004 Evaluation of maize inbred lines for tolerance to
Striga lutea in southern guinea savanna ecology Food agriculture
and Environment 2 256ndash259
Olaoye G Bello OB Ajani AK Ademuwagun T K 2009 Breeding
for improved organoleptic and nutritionally acceptable green maize
varieties by crossing sweet corn (Zea mays saccharata) Changes in
quantitative and qualitative characteristics in F1 hybrids and F2
population Journal of plant breeding and Crop science 1(9)
298ndash305
httpwwwacademicjournalsorgjpbcsPDFpdf2009
NovemberOlaoye20et20alpdf
Olawuyi OJ Odebode AC AlfarndashAbdullahi A Olakojo SA and
Adesoye AI 2010 Performance of maize cultivars and
arbuscularmycorrhizal fungi in Samara district of South west region of
DohandashQatar Nigeria journal of mycology 3(1) 86ndash100
Olawuyi OJ Odebode AC Olakojo SA and Adesoye AI 2011 Host
parasite relationship of maize (Zea mays L) and Strigalutea(Lour) as
influenced by Arbuscular mycorrhizal fungi Journal of Science
research 10(2)186ndash198
Olawuyi OJ Odebode AC and Olakojo SA 2013 Cultivar treatments
concentration interaction and characters association in maize (Zea
mays L) under Arbuscular mycorrhizal fungi and Striga lutea (Lour)
In KnowndashNdung EH Ogah DM Yakubu A editors proceedings of
the 37th
Annual Conference of Genetics Society of Nigeria Oct 21ndash24
Lafia Federal University pp 210ndash223
Olawuyi OJ Bello OB Ntube CV and Akanmu AO 2015 Progress
from selection of some maize cultivarsrsquo response to drought in the
derived savanna of Nigeria AGRIVITA Journal of Agricultural
Science 37(1) 8ndash17
httpwwwagrivitaubacidindexphpagrivita
articleview485
Paliwal RL Granados G Lafitte HR Violic AD Maratheacutee JP 2000
Tropical Maize Improvement and Production Food and Agriculture
Organization of the United Nations Rome pp 1ndash3
Rabinowicz PD Bennetzen JL 2006 The maize genome as a model for
efficient sequence analysis of large plant genomes Current Opinion in
Plant Biology 9(2) 149ndash 156
httpdxdoiorg101016jpbi200601015
Molecular Plant Breeding 2016 Vol7 No01 1ndash10
httpmpbbiopublisherca
11
RierandashLizarazu O Rines HW and Phillips RL 1996 Cytological and
molecular characterization of oat x maize partial hybrids Theoretical
and Applied Genetics 93(1ndash2) 123ndash135
httpdxdoiorg101007BF00225737
Singletary GW 2003 Genetic modification of corn Chapter 21 In White
PJ Johnson LA eds Corn chemistry and technology Edition 2nd
American Association of Cereal Chemists Inc St Paul Minesota
USA pp 751ndash782
Srinivasan G Zaidi PH Singh NN and Sanchez C 2004 Increasing
productivity through genetic improvement for tolerance to drought and
excessndashmoisture stress in maize (Zea mays L) Seng V Craswell E
Fukai S and Fischer K eds Australian Centre for International
Agricultural Research Canberra pp 227ndash239
Shah TM Mirza JI Haq MA and Atta BM2008 Induced genetic
Tan S Evans RR Dahmer ML Singh BK Shaner DL 2005
Imidazolinonendashtolerant crops history current status and future Pest
Management Science 61 246ndash257
Tanigawa H Katsumi S Shunsuke F Norikazu O Tetsuhiro S Eji K
variability in chickpea (Cicer arietinum L) II Comparative
mutagenic effectiveness and efficiency of physical and chemical
mutagens Pakistan Journal of Botany 40 605ndash613
Teramura AH 1983 Effects of ultravioletndashB radiation on the growth and
yield of crop plants Physiologia Plantarum 58(3) 415ndash427
Statistical Application Software Institute (2009) Statistical Application
Software (SAS) system for windows version 92 Vol 5 SAS Institute
Cary NC USA
White CN Proebsting WM Hedden P Rivin CJ 2000 Gibberellins and
seeddevelopment in maize I Evidence that gibberellin abscisic acid
balance governs germination versus maturation pathways Plant
Physiology 122(4) 1081ndash1088
httpdxdoiorg101104pp12241081
Molecular Plant Breeding 2016 Vol7 No01 1ndash10
httpmpbbiopublisherca
9
Table 13 Correlation matrix of yield characters of six cultivars of maize
Stover weight Grain weight per stand Total number of
grains
Replicate Periods of exposure
Stover weight
Grain weight per stand 014
Total number of grains 015 099
Replicates 006 ndash01 ndash011
Periods of exposure 008 ndash016 ndash016 000
Cultivars ndash021 ndash013 ndash012 000 000
4 Discussion
The reduction in the growth characters at 8 and 10
WAP for number of leaves and 10 WAP for plant
height leaf length and leaf width could be due to
mutagenic effect of UV radiation on maize as
similarly reported by Teramura (1983) There were
variations in the contribution of the genotypic effect
on growth performance of maize ARTOB98SW1
showed greater tolerance to the mutagenic effect of
the UV radiation while OBA 98 could not tolerate the
varied exposure periods This could be due to the
differences in the genetic makendashup of the maize
cultivars The performance of ARTOB98SW1 and
ART0B98SW6 could also be attributed to the high
quality protein contents in maize (Olakojo 2004
Olaoye et al 2009 Bello et al 2014a) The least
mean values of days to plant emergence for
ARTOB98SW1 compared to 10ndash5ndashW and other
cultivars showed that they have early maturity traits as
similarly reported by Olawuyi et al (2010 2013)
This could be due to presence of early and maturing
genes present in the quality protein maize
ARTOB98SW6 10ndash1ndashY and ARTOB98 SW1 had
higher tolerance to mutagenic effect of UV radiation
This could be due to the presence of tolerant genes
present in the maize cultivars Olakojo and Kogbe
(2003) Olawuyi et al (2011) and Bello et al (2014b)
had earlier reported tolerance of quality protein maize
cultivars to Stiga lutea and resistance to drought
Maize grain weight and total number of grains at 20
minutes and control showed the best tolerance to UV
radiation compared to other periods Though the
performance of stover weight at 100 minutes as well
as at 80 and 100 minutes for grain weight and total
number of grains could be due to the contribution of
the mutation tolerant gene present in some of the
cultivars particularly the quality protein maize OBA
98 and ARTOB98SW1 performed appreciably in all
the yield characters compared to other cultivars The
superior performance of these cultivars revealed their
tolerant potential to the mutagenic effect of the UV
radiation
5 Conclusion and recommendations
The quality protein maize cultivars not only showed
greater tolerance to mutagenic effect of the UV
radiation but were outstanding in grain yield
compared to other cultivars It appears that the effect
on exposure to UV radiation did not have deleterious
effect on the growth and agronomic characters of
maize but cause reduction in grain yield on exposure
to UV radiation at longer periods Therefore quality
protein maize cultivars should be improved by
introgression of favourable genes of drought tolerance
grain yield and related characters through induced
mutation of UV radiation The characters evaluated
from correlation analysis should further be
encouraged and explored in the breeding programmes
References
Acharya SN Thomas JE and Basu SK 2007 Improvement in the
medicinal and nutritional properties of fenugreek (Trigonella
foenumgraecum L) In Acharya SN and Thomas JE(eds)
Advances in medicinal plant researchResearch Signpost
Trivandrum Kerala India
Ahloowalia BS Maluszynski M and Nichterlein K 2004 Global
impact of mutation derived varieties Euphytica 135 187ndash204
Anderson PC and Georgeson M 1989 Herbicidendashtolerant mutants of
corn Genome 31 994ndash999
Beadle GW and Tatum EL 1941 Genetic control of biochemical
reactions in Neurospora PNAS 27 (11) 499ndash506
Bello OB and Olaoye G (2009) Combining ability for maize grain yield
and other agronomic characters in a typical southern Guinea savanna
ecology of Nigeria African Journal of Biotechnology 8(11) 2518 ndash
2522
httpwwwacademicjournalsorgjpbcsPDFpdf2009 JuneOlaoye 20and20Bellopdf
Bello OB Afolabi MS Ige SA Abdulmaliq SY Azeez M A and
Molecular Plant Breeding 2016 Vol7 No01 1ndash10
httpmpbbiopublisherca
10
Mahamud J 2011 Yield Response of diallelic crossed maize (Zea
mays L) cultivars to varying nitrogen regimes in Nigeria Journal
of BiondashSciences 19 43ndash52
httpwwwBanglajolInfoIndexPhpJbsIndex
Bello OB Abdulmaliq SY Ige SA Mahamood J Oluleye F Azeez
MA and Afolabi MS 2012 Evaluation of early and
late intermediate maize varieties for grain yield potential and
adaptation to a southern Guinea savanna agrondashecology of Nigeria
Scholarly Journal of Agricultural Science 2(3) 42ndash51 http
wwwscholarlyndashjournalscomSJAS
Bello OB Olawuyi OJ Ige SA Mahamood J Afolabi MS Azeez
MA and Abdulmaliq SY 2014a Agrondashnutritional variations of
quality protein maize (Zea mays L) in Nigeria Journal of
Agricultural Sciences 59(2) 101ndash116
httpwwwdoiserbianbrsftaspxid=1450ndash81091
402101B 11
Bello OB Olawuyi OJ Abdulmaliq SY Ige S A Mahamood J
Azeez M A and Afolabi MS 2014b Yield performance and
adaptation of early and intermediate droughtndashtolerant maize
cultivars in Guinea savanna of Nigeria Sarhad Journal of
Agriculture 30(1) 53ndash66
httpwwwbanglajolinfoindexphpJBSindex
Bello OB Olawuyi OJ Lawal M Ige SA Mahamood J Afolabi
MS Azeez M A and Abdulmaliq SY 2014c Genetic gains in
three breeding eras of maize hybrids under low and optimum
nitrogen fertilization Journal of Agricultural Sciences 59(3)
227ndash242
httpwwwjoasagrifbgacrssitesjoasagrifbgacrsfilesarticlepdf
379ndash02ndash690_bello_et_alpdf 6
Boyer CD Hannah LC 1994 Kernel mutants of corn Chapter 1 In
AR Hallauer ed Specialty corns CRC Press Inc Boca Raton
USA pp 1ndash28
Caldwell K Henshaw L and Taylor G 2011 Developing a framework
for Critiquing health research Nursing Fires 103(17) 32ndash33
CIMMYT 2003 The development and promotion quality protein
maize in subndashSaharan Africa Progress report submitted to Nippon
Foundation Harare Zimbabawe
EllneskogndashStaam P Henry Loaisiga C Merker A 2007 Chromosome
Cndashbanding of the teosinte Zea nicaraguensis and comparison to other
Zea species Hereditas 144 96ndash101
Fapohunda SO Olawuyi OJ Bello OB and Lawal T 2013
Comparative shoot responses of two Nigerian crops to Glomus
clarum and other fertilizers Greener Journal of Agricultural
Sciences 3(4) 280ndash285
httpwwwgjournalsorgGJASGJAS20Pdf
Fapohunda20et20alpdf
Javed I Ahsan M Ahmad HM and Ali Q 2016 Role of mutation
breeding to improve Mungbean (Vigna radiata L Wilczek) yield An
overview Nature Science 14(1) 63ndash77
httpwwwsciencepubnetnature 9 doi107537marsnsj14011609
Mano Y Omori F Muraki M and Takamizo T 2005 QTL mapping of
adventitious root formation under flooding conditions in tropical maize
(Zea mays L) seedlings Breeding Science 55 343ndash347
httpdxdoiorg101270jsbbs55343
Mertz ET Bates LS and Nelson OE 1964 Mutant gene that changes
protein composition and increases lysine content of maize endosperm
Science 145 279ndash280
httpdxdoiorg101126science1453629279
Messing J and Dooner HK 2006 Organization and variability of the
maize genome Current Opinion in Plant Biology 9(2) 157ndash163
httpdxdoiorg101016jpbi200601009
Misra PS Jambunathan R Mertz ET Glover DV Barbosa HM and
McWhirter KS 1972 Endosperm protein synthesis in maize mutants
with increased lysine content Science 176(4042) 1425ndash1427
httpdxdoiorg101126science17640421425
Mochida K Tsujimoto H and Sasakuma T 2004 Confocal analysis of
chromosome behavior in wheat x maize zygotes Genome 47(1)
199ndash205 httpdxdoiorg101139g03ndash123
Newhouse K Singh B Shaner D Stidham M 1991 Mutations in corn
(Zea mays L) conferring resistance to imidazolinone herbicides
Theoretical and Applied Genetics 83 65ndash70
Olakojo SA and Kogbe JOS 2003 Reaction of maize to infestation
with the witch weed (Striga lutea) Moor Journal of Agricultural
research 4210ndash217
Olakojo SA 2004 Evaluation of maize inbred lines for tolerance to
Striga lutea in southern guinea savanna ecology Food agriculture
and Environment 2 256ndash259
Olaoye G Bello OB Ajani AK Ademuwagun T K 2009 Breeding
for improved organoleptic and nutritionally acceptable green maize
varieties by crossing sweet corn (Zea mays saccharata) Changes in
quantitative and qualitative characteristics in F1 hybrids and F2
population Journal of plant breeding and Crop science 1(9)
298ndash305
httpwwwacademicjournalsorgjpbcsPDFpdf2009
NovemberOlaoye20et20alpdf
Olawuyi OJ Odebode AC AlfarndashAbdullahi A Olakojo SA and
Adesoye AI 2010 Performance of maize cultivars and
arbuscularmycorrhizal fungi in Samara district of South west region of
DohandashQatar Nigeria journal of mycology 3(1) 86ndash100
Olawuyi OJ Odebode AC Olakojo SA and Adesoye AI 2011 Host
parasite relationship of maize (Zea mays L) and Strigalutea(Lour) as
influenced by Arbuscular mycorrhizal fungi Journal of Science
research 10(2)186ndash198
Olawuyi OJ Odebode AC and Olakojo SA 2013 Cultivar treatments
concentration interaction and characters association in maize (Zea
mays L) under Arbuscular mycorrhizal fungi and Striga lutea (Lour)
In KnowndashNdung EH Ogah DM Yakubu A editors proceedings of
the 37th
Annual Conference of Genetics Society of Nigeria Oct 21ndash24
Lafia Federal University pp 210ndash223
Olawuyi OJ Bello OB Ntube CV and Akanmu AO 2015 Progress
from selection of some maize cultivarsrsquo response to drought in the
derived savanna of Nigeria AGRIVITA Journal of Agricultural
Science 37(1) 8ndash17
httpwwwagrivitaubacidindexphpagrivita
articleview485
Paliwal RL Granados G Lafitte HR Violic AD Maratheacutee JP 2000
Tropical Maize Improvement and Production Food and Agriculture
Organization of the United Nations Rome pp 1ndash3
Rabinowicz PD Bennetzen JL 2006 The maize genome as a model for
efficient sequence analysis of large plant genomes Current Opinion in
Plant Biology 9(2) 149ndash 156
httpdxdoiorg101016jpbi200601015
Molecular Plant Breeding 2016 Vol7 No01 1ndash10
httpmpbbiopublisherca
11
RierandashLizarazu O Rines HW and Phillips RL 1996 Cytological and
molecular characterization of oat x maize partial hybrids Theoretical
and Applied Genetics 93(1ndash2) 123ndash135
httpdxdoiorg101007BF00225737
Singletary GW 2003 Genetic modification of corn Chapter 21 In White
PJ Johnson LA eds Corn chemistry and technology Edition 2nd
American Association of Cereal Chemists Inc St Paul Minesota
USA pp 751ndash782
Srinivasan G Zaidi PH Singh NN and Sanchez C 2004 Increasing
productivity through genetic improvement for tolerance to drought and
excessndashmoisture stress in maize (Zea mays L) Seng V Craswell E
Fukai S and Fischer K eds Australian Centre for International
Agricultural Research Canberra pp 227ndash239
Shah TM Mirza JI Haq MA and Atta BM2008 Induced genetic
Tan S Evans RR Dahmer ML Singh BK Shaner DL 2005
Imidazolinonendashtolerant crops history current status and future Pest
Management Science 61 246ndash257
Tanigawa H Katsumi S Shunsuke F Norikazu O Tetsuhiro S Eji K
variability in chickpea (Cicer arietinum L) II Comparative
mutagenic effectiveness and efficiency of physical and chemical
mutagens Pakistan Journal of Botany 40 605ndash613
Teramura AH 1983 Effects of ultravioletndashB radiation on the growth and
yield of crop plants Physiologia Plantarum 58(3) 415ndash427
Statistical Application Software Institute (2009) Statistical Application
Software (SAS) system for windows version 92 Vol 5 SAS Institute
Cary NC USA
White CN Proebsting WM Hedden P Rivin CJ 2000 Gibberellins and
seeddevelopment in maize I Evidence that gibberellin abscisic acid
balance governs germination versus maturation pathways Plant
Physiology 122(4) 1081ndash1088
httpdxdoiorg101104pp12241081
Molecular Plant Breeding 2016 Vol7 No01 1ndash10
httpmpbbiopublisherca
10
Mahamud J 2011 Yield Response of diallelic crossed maize (Zea
mays L) cultivars to varying nitrogen regimes in Nigeria Journal
of BiondashSciences 19 43ndash52
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Bello OB Abdulmaliq SY Ige SA Mahamood J Oluleye F Azeez
MA and Afolabi MS 2012 Evaluation of early and
late intermediate maize varieties for grain yield potential and
adaptation to a southern Guinea savanna agrondashecology of Nigeria
Scholarly Journal of Agricultural Science 2(3) 42ndash51 http
wwwscholarlyndashjournalscomSJAS
Bello OB Olawuyi OJ Ige SA Mahamood J Afolabi MS Azeez
MA and Abdulmaliq SY 2014a Agrondashnutritional variations of
quality protein maize (Zea mays L) in Nigeria Journal of
Agricultural Sciences 59(2) 101ndash116
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402101B 11
Bello OB Olawuyi OJ Abdulmaliq SY Ige S A Mahamood J
Azeez M A and Afolabi MS 2014b Yield performance and
adaptation of early and intermediate droughtndashtolerant maize
cultivars in Guinea savanna of Nigeria Sarhad Journal of
Agriculture 30(1) 53ndash66
httpwwwbanglajolinfoindexphpJBSindex
Bello OB Olawuyi OJ Lawal M Ige SA Mahamood J Afolabi
MS Azeez M A and Abdulmaliq SY 2014c Genetic gains in
three breeding eras of maize hybrids under low and optimum
nitrogen fertilization Journal of Agricultural Sciences 59(3)
227ndash242
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379ndash02ndash690_bello_et_alpdf 6
Boyer CD Hannah LC 1994 Kernel mutants of corn Chapter 1 In
AR Hallauer ed Specialty corns CRC Press Inc Boca Raton
USA pp 1ndash28
Caldwell K Henshaw L and Taylor G 2011 Developing a framework
for Critiquing health research Nursing Fires 103(17) 32ndash33
CIMMYT 2003 The development and promotion quality protein
maize in subndashSaharan Africa Progress report submitted to Nippon
Foundation Harare Zimbabawe
EllneskogndashStaam P Henry Loaisiga C Merker A 2007 Chromosome
Cndashbanding of the teosinte Zea nicaraguensis and comparison to other
Zea species Hereditas 144 96ndash101
Fapohunda SO Olawuyi OJ Bello OB and Lawal T 2013
Comparative shoot responses of two Nigerian crops to Glomus
clarum and other fertilizers Greener Journal of Agricultural
Sciences 3(4) 280ndash285
httpwwwgjournalsorgGJASGJAS20Pdf
Fapohunda20et20alpdf
Javed I Ahsan M Ahmad HM and Ali Q 2016 Role of mutation
breeding to improve Mungbean (Vigna radiata L Wilczek) yield An
overview Nature Science 14(1) 63ndash77
httpwwwsciencepubnetnature 9 doi107537marsnsj14011609
Mano Y Omori F Muraki M and Takamizo T 2005 QTL mapping of
adventitious root formation under flooding conditions in tropical maize
(Zea mays L) seedlings Breeding Science 55 343ndash347
httpdxdoiorg101270jsbbs55343
Mertz ET Bates LS and Nelson OE 1964 Mutant gene that changes
protein composition and increases lysine content of maize endosperm
Science 145 279ndash280
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Messing J and Dooner HK 2006 Organization and variability of the
maize genome Current Opinion in Plant Biology 9(2) 157ndash163
httpdxdoiorg101016jpbi200601009
Misra PS Jambunathan R Mertz ET Glover DV Barbosa HM and
McWhirter KS 1972 Endosperm protein synthesis in maize mutants
with increased lysine content Science 176(4042) 1425ndash1427
httpdxdoiorg101126science17640421425
Mochida K Tsujimoto H and Sasakuma T 2004 Confocal analysis of
chromosome behavior in wheat x maize zygotes Genome 47(1)
199ndash205 httpdxdoiorg101139g03ndash123
Newhouse K Singh B Shaner D Stidham M 1991 Mutations in corn
(Zea mays L) conferring resistance to imidazolinone herbicides
Theoretical and Applied Genetics 83 65ndash70
Olakojo SA and Kogbe JOS 2003 Reaction of maize to infestation
with the witch weed (Striga lutea) Moor Journal of Agricultural
research 4210ndash217
Olakojo SA 2004 Evaluation of maize inbred lines for tolerance to
Striga lutea in southern guinea savanna ecology Food agriculture
and Environment 2 256ndash259
Olaoye G Bello OB Ajani AK Ademuwagun T K 2009 Breeding
for improved organoleptic and nutritionally acceptable green maize
varieties by crossing sweet corn (Zea mays saccharata) Changes in
quantitative and qualitative characteristics in F1 hybrids and F2
population Journal of plant breeding and Crop science 1(9)
298ndash305
httpwwwacademicjournalsorgjpbcsPDFpdf2009
NovemberOlaoye20et20alpdf
Olawuyi OJ Odebode AC AlfarndashAbdullahi A Olakojo SA and
Adesoye AI 2010 Performance of maize cultivars and
arbuscularmycorrhizal fungi in Samara district of South west region of
DohandashQatar Nigeria journal of mycology 3(1) 86ndash100
Olawuyi OJ Odebode AC Olakojo SA and Adesoye AI 2011 Host
parasite relationship of maize (Zea mays L) and Strigalutea(Lour) as
influenced by Arbuscular mycorrhizal fungi Journal of Science
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Olawuyi OJ Odebode AC and Olakojo SA 2013 Cultivar treatments
concentration interaction and characters association in maize (Zea
mays L) under Arbuscular mycorrhizal fungi and Striga lutea (Lour)
In KnowndashNdung EH Ogah DM Yakubu A editors proceedings of
the 37th
Annual Conference of Genetics Society of Nigeria Oct 21ndash24
Lafia Federal University pp 210ndash223
Olawuyi OJ Bello OB Ntube CV and Akanmu AO 2015 Progress
from selection of some maize cultivarsrsquo response to drought in the
derived savanna of Nigeria AGRIVITA Journal of Agricultural
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httpwwwagrivitaubacidindexphpagrivita
articleview485
Paliwal RL Granados G Lafitte HR Violic AD Maratheacutee JP 2000
Tropical Maize Improvement and Production Food and Agriculture
Organization of the United Nations Rome pp 1ndash3
Rabinowicz PD Bennetzen JL 2006 The maize genome as a model for
efficient sequence analysis of large plant genomes Current Opinion in
Plant Biology 9(2) 149ndash 156
httpdxdoiorg101016jpbi200601015
Molecular Plant Breeding 2016 Vol7 No01 1ndash10
httpmpbbiopublisherca
11
RierandashLizarazu O Rines HW and Phillips RL 1996 Cytological and
molecular characterization of oat x maize partial hybrids Theoretical
and Applied Genetics 93(1ndash2) 123ndash135
httpdxdoiorg101007BF00225737
Singletary GW 2003 Genetic modification of corn Chapter 21 In White
PJ Johnson LA eds Corn chemistry and technology Edition 2nd
American Association of Cereal Chemists Inc St Paul Minesota
USA pp 751ndash782
Srinivasan G Zaidi PH Singh NN and Sanchez C 2004 Increasing
productivity through genetic improvement for tolerance to drought and
excessndashmoisture stress in maize (Zea mays L) Seng V Craswell E
Fukai S and Fischer K eds Australian Centre for International
Agricultural Research Canberra pp 227ndash239
Shah TM Mirza JI Haq MA and Atta BM2008 Induced genetic
Tan S Evans RR Dahmer ML Singh BK Shaner DL 2005
Imidazolinonendashtolerant crops history current status and future Pest
Management Science 61 246ndash257
Tanigawa H Katsumi S Shunsuke F Norikazu O Tetsuhiro S Eji K
variability in chickpea (Cicer arietinum L) II Comparative
mutagenic effectiveness and efficiency of physical and chemical
mutagens Pakistan Journal of Botany 40 605ndash613
Teramura AH 1983 Effects of ultravioletndashB radiation on the growth and
yield of crop plants Physiologia Plantarum 58(3) 415ndash427
Statistical Application Software Institute (2009) Statistical Application
Software (SAS) system for windows version 92 Vol 5 SAS Institute
Cary NC USA
White CN Proebsting WM Hedden P Rivin CJ 2000 Gibberellins and
seeddevelopment in maize I Evidence that gibberellin abscisic acid
balance governs germination versus maturation pathways Plant
Physiology 122(4) 1081ndash1088
httpdxdoiorg101104pp12241081
Molecular Plant Breeding 2016 Vol7 No01 1ndash10
httpmpbbiopublisherca
11
RierandashLizarazu O Rines HW and Phillips RL 1996 Cytological and
molecular characterization of oat x maize partial hybrids Theoretical
and Applied Genetics 93(1ndash2) 123ndash135
httpdxdoiorg101007BF00225737
Singletary GW 2003 Genetic modification of corn Chapter 21 In White
PJ Johnson LA eds Corn chemistry and technology Edition 2nd
American Association of Cereal Chemists Inc St Paul Minesota
USA pp 751ndash782
Srinivasan G Zaidi PH Singh NN and Sanchez C 2004 Increasing
productivity through genetic improvement for tolerance to drought and
excessndashmoisture stress in maize (Zea mays L) Seng V Craswell E
Fukai S and Fischer K eds Australian Centre for International
Agricultural Research Canberra pp 227ndash239
Shah TM Mirza JI Haq MA and Atta BM2008 Induced genetic
Tan S Evans RR Dahmer ML Singh BK Shaner DL 2005
Imidazolinonendashtolerant crops history current status and future Pest
Management Science 61 246ndash257
Tanigawa H Katsumi S Shunsuke F Norikazu O Tetsuhiro S Eji K
variability in chickpea (Cicer arietinum L) II Comparative
mutagenic effectiveness and efficiency of physical and chemical
mutagens Pakistan Journal of Botany 40 605ndash613
Teramura AH 1983 Effects of ultravioletndashB radiation on the growth and
yield of crop plants Physiologia Plantarum 58(3) 415ndash427
Statistical Application Software Institute (2009) Statistical Application
Software (SAS) system for windows version 92 Vol 5 SAS Institute
Cary NC USA
White CN Proebsting WM Hedden P Rivin CJ 2000 Gibberellins and
seeddevelopment in maize I Evidence that gibberellin abscisic acid
balance governs germination versus maturation pathways Plant
Physiology 122(4) 1081ndash1088
httpdxdoiorg101104pp12241081