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*Corresponding author: Email: obbello2002@yahoo.com;
Original Research Article
Journal of Basic and Applied Research
International
13(1): 56-61, 2016
ISSN: 2395-3438 (P), ISSN: 2395-3446 (O)
International Knowledge Press
www.ikpress.org
GENETIC DIVERSITY AND CORRELATED RESPONSE TO
SELECTION OF GRAIN YIELD AND ASSOCIATED
CHARACTERS IN MAIZE (Zea mays L.)
J. O. AGBOLADE1
, O. J. OLAWUYI2
, O. B. BELLO3*
, O. D. OLUSEYE1
AND R. J. 1. KOMOLAFE1
1
Department Plant Science and Biotechnology, Federal University, Oye Ekiti, Nigeria.
2
Department of Botany, University of Ibadan, Ibadan, Oyo State, Nigeria.
3
Department of Biological Sciences, Fountain University, Osogbo, Osun State, Nigeria.
AUTHORS’ CONTRIBUTIONS
This work was carried out in collaboration among all authors. Author JOA designed the study, wrote the
protocol and interpreted the data. Author ODO anchored the field study, gathered the initial data and performed
preliminary data analysis. Author OBB, the corresponding author and authors OJO and RJA managed the
literature searches and produced the initial draft. All authors read and approved the final manuscript.
Received: 22nd
July 2015
Accepted: 20th
August 2015
Published: 3rd
October 2015
__________________________________________________________________________________
ABSTRACT
Sixteen genotypes of maize were evaluated for genetic variability and character associations in the Research
Farm of the Department of Botany, University of Ibadan, Nigeria for 90 days in the 2012, 2013 and 2014
cropping seasons. Perforated polythene bags (18 × 9 cm) were filled with 6kg sandy-loam soil and were spaced
at a distance of 10 cm apart between rows. Three seeds from each genotype were then planted per bag without
treatment in three replicates. Data on plant and stem height, leaf width, leaf length and number of leaves were
collected after planting at 14 days interval on each replicate for a particular genotype. The plant height of
EVDT.Y200STRQPM genotype was significantly (p < 0.05) different from other genotypes, while genotype
pairs; TZE-OR2DTSTRQPM and 2009TZE-ORIDTSTRQPM, TZEI 22, TZEI 98 and OBANTAPA, TZEI 4,
TZEI 161, BODIJA as well as EVDT-W99STR, OJO, 98SYNWECSTRQPM were similar to each other. The
result of correlation coefficient shows that stem height was highly significant and positively correlated with the
plant height (p < 0.01; r = 0.91). The genotype is negative and non-correlated with plant height, stem height, leaf
width and number of leaves, but positive and non-significantly associated with leaf length, replicate and week
after planting.
Keywords: Maize genotype; character; variability; morphology; genetic diversity; germplasm.
1. INTRODUCTION
Maize (Zea mays L.) is one of the most widely grown
grain crops domesticated by indigenous peoples in
prehistoric times with 332 million metric tons
annually in the United States of America [1,2]. The
leafy stalk produces ears which contain grains called
kernels consisting of an endosperm, embryo, pericarp
and tip cap. The kernels are used in cooking as a
vegetable or starch [3]. Sugar-rich varieties called
Agbolade et al.; JOBARI, 13(1): 56-61, 2016
57
sweet corn are usually grown for human consumption,
while field corn varieties are used as chemical feed
stocks [1,2]. Maize also plays an important role in the
prevention of digestive ailments, and can be processed
for a range of uses both as an ingredient in food or
drinks, such as corn syrup in soft drinks or maize
meal and for industrial purposes [4]. The starch part
of the kernel is used in foods and many other products
such as adhesives, clothing, pharmaceutical tablets,
paper production, and can be converted into
sweeteners, and used in products such as sweets,
bakery products and jams. The oil from the embryo is
used in cooking oils, margarine and salad dressings,
while the protein, hulls and soluble part of the maize
kernel are used in poultry feed [5].
The applications of genetics in correlation studies are
used in evaluating variability in maize through
character association [5,6]. Environmental changes
across locations and years due to climatic conditions,
disease and pest pressures, soil fertility and socio-
economic factors affect the yield performance of
maize [5,7]. [4] emphasized the need to select
genotypes that outperform the local commercial
varieties in their 'safety-first screening approach.
Yield stability measures the ability of a variety to
maintain high yields across environments [8.9]. A
stable responsive genotype is one that is able to utilize
resources available in the high yielding environment
while maintaining above average performance in all
other environments. It is only the high yielding, stable
and responsive variety that will satisfy the needs of
farmers in their diverse and changing farming
environments [9]. The morphological characters of
maize which include plant height, stem height, leaf
length, leaf width, tassel arrangement, number of
leaves, ear length, cob diameter and yield may vary
depending on the genotype and environment in which
they are grown [5]. Therefore, this study examined the
contribution of genotypes and growth stages on
variations in morphological characters of maize
germplasm.
2. MATERIALS AND METHODS
2.1 Experimental Site and Sources of Planting
Materials
This study was carried out in an open field at the
Research Farm of the Department of Botany,
University of Ibadan, Ibadan, Nigeria between March
and May, 2012, 2013 and 2014. A total of sixteen
genotypes of maize were evaluated in this study.
Fourteen genotypes were collected from the
germplasm of the International Institute of Tropical
Agriculture (IITA), Ibadan, Nigeria and they include:
TZEI 161, TZEI 98, TZEI 25, TZEI 22, TZEI, TZEI
4, TZEOR2DTSTRQPM, DMRESRWQPM,
EVDTY2000STRQPM, TZEYDTSTRQPM,
EVDTW99STR, 98SYNWECST-RQPM,
2009TZEORIDTSTSTRQPM, OBANTAPA and
TZEYBPDTSTRQPM. Two varieties were also
obtained from Ojo and Bodija markets.
2.2 Research Design and Method of Planting
The experiment was laid out factorially in a complete
randomized design (CRD) with three replicates in
each polythene bag without treatments. Perforated
polythene bags (18 × 9 cm) were filled with 6 kg
sandy-loam soil, and were spaced at a distance of
10cm apart between the rows. Three seeds from each
genotype were then planted per bag without in three
different rows. Thinning was later carried out to leave
one healthy plant per pot at two weeks after planting.
Standard cultural practices such as proper weeding
and watering of plants were also carried out.
2.3 Data Collection and Analysis
Data were collected after planting at 14days interval
on each replicate for a particular genotype. Data on
the following growth characters were taken: Plant
height, Stem height, Leaf width, Leaf length and
Number of leaves. These were measured using a
meter rule in centimeter (cm), except number of
leaves which was determined by counting. Data
collected were subjected to analysis of variance
(ANOVA) using SPSS, version 16.0. The model for
analyses of variance included genotype, replicate,
weeks after planting. The means were separated by
Duncan's multiple range test at 5% level of
probability, while Pearson correlation co-efficient was
also done to establish relationship among the
characters.
3. RESULTS
3.1 Mean Square of Genotype, Replicate and
Different Growth Stages for
Morphological Characters of Maize
The results from Table 1 shows that the weeks after
planting was highly significant (p<0.01) for plant
height, stem height and number of leaves but non-
significant for leaf width and leaf length, while the
genotypic effect was highly significant for plant
height, stem height, leaf width and leaf length and
number of leaves.
3.2 Effect of Growth Stages on Morphological
Characters of Maize
The plant height and stem height are significantly
higher at 8 weeks after planting (WAP) with 71.06 cm
Agbolade et al.; JOBARI, 13(1): 56-61, 2016
58
and 48.03 cm, respectively than other growth stages
(Table 2). The leaf length (50.86 cm) was the highest
at 2 WAP, while the highest number of leaves (8.21)
and leaf width (3.97 cm) were recorded at 4 WAP.
The 4, 6 and 8 WAP for plant height, stem height, leaf
width and number of leaves were not significantly
different from one another, while the leaf length at 2
WAP was significantly different from other weeks,
but significant differences did not exist between 6 and
8 WAP. The leaf width was not significantly different
from each other for all the weeks.
3.3 Genotypic Variation in Morphological
Characters of Maize
The plant height and stem height of
EVDT.Y200STRQPM were significantly (p<0.05)
higher and different from other genotypes (Table 3).
TZE-QR2DTSTRQPM and 2009TZE-
ORIDTSTRQPM genotypes were not significantly
(p>0.05) different from each other, but different from
TZEI 22, TZEI 98 and OBANTAPA, as well as TZEI
4, TZEI 161, BODIJA and EVDT-W99STR, OJO,
98SYNWECSTRQPM which were not different from
one another, but significantly different from
TZYBPDTSTRQPM.
The stem height for TZE-QR2DTSTRQPM,
2009TZEORIDTSTRQPM, TZEI 22, TZEI 98,
OBANTAPA and TZEI 161 genotypes were not
significantly different from each other, but different
from TZEI 25, TZEI 4 and BODIJA which are not
significantly different from each other. EVDT-
W99STR, OJO and 98SYNWECSTRQPM did not
produce significant effect from each other, but
significantly different from TZYBPDTSTRQPM. The
TZEI 98, 2009TZEORIDTSTRQPM and
EVDT.Y200STRQPM genotypes were significantly
higher but different for leaf width, leaf length and
number of leaves than other genotypes. There is no
genotypic difference among EVDT.Y2000STRQPM,
TZEYDTSTRQPM, TZE-QR2DTSTRQPM and
TZEI-22 as well as OBANTAPA, TZEI 25 and TZEI
4 for leaf width, while similar effect was observed for
BODIJA and OJO markets. The leaf length of
TZEYDTSTRQPM, TZE-QR2DTSTRQPM, TZEI
98, TZEI 25, TZEI 4, BODIJA and OJO produced
similar genetic effect different from TZEI 161,
EVDT-W99STR and 98SYNWECSTRQPM as well
as EVDT.Y2000STRQPM and OBANTAPA. The
genotypic effect for number of leaves per plant was
not significantly different in nine genotypes, while
TZEI 161 and OJO as well as EVDT-W99STR and
98SYNWECSTRQPM had genetic similarities.
3.4 Correlation Co-efficient of Five
Morphological Characters, Genotypes and
Growth Stages of Maize
The results in Table 4 show that stem height was
highly significant and positively correlated with the
plant height (p<0.01; r = 0.91). The leaf length was
highly significant and positively associated with plant
height (r = 0.72), stem height (r = 0.53) and leaf width
(r = 0.83), while the number of leaves was positively
related with plant height (r = 0.87), stem height (r =
0.75), leaf width (r = 0.87) and leaf length (r = 0.73).
The plant height was positive and strongly correlated
with stem height, leaf width, leaf length and number
of leaves with (p<0.01; r = 0.91, 0.87 and 0.72). There
was no association between plant height and
genotypes. Again, the leaf length and number of
leaves were strongly related with leaf width (p<0.01; r
= 0.83 and 0.87) respectively. The genotype was
negative and non-significantly related with plant
height (r = -0.22), stem height (r = -0.15), leaf width
(r = -0.24), leaf length (r = -0.17), number of leaves (r
= -0.19) and growth stages.
4. DISCUSSION
The growth stages and genotypes which recorded high
significant effect on most of the morphological
characters is an indication of variability which is a
key to crop improvement. This conforms to [4] who
had reported significant amount of variability for
different morphological traits in maize genotypes and
also reported significant genetic differences for
Table 1. Mean square of genotype, replicate, weeks after planting of five morphological characters of
maize
Source of variation Df PH SH LWD LL NL
Year 2 10.11 ns
3.21 ns
1.17ns
8.31ns
1.22 ns
Replicate 2 307.49ns
153.85ns
0.17ns
88.02ns
4.26ns
Weeks after planting 3 4210.96**
9034.21**
2.27ns
938.51ns
71.31**
Genotype 15 4069.67**
2933.30** 8.20**
1046.31**
29.81**
Error 171 619.47 421.40 1.88 264.74 6.67
Total 192 700.22 833.67 4.92 300.19 23.64
PH-Plant height, SH-Stem Height, LW-Leaf width, LL-Leaf length, NL-Number of leaves
**
P< 0.01 highly significant,*P< 0.05 significant
Agbolade et al.; JOBARI, 13(1): 56-61, 2016
59
Table 2. Effect of growth stages on five morphological characters of maize
Weeks after Planting PH(cm) SH(cm) LW(cm) LL(cm) NL
2 50.89b
19.56b
3.49a
50.86a
5.48b
4 69.19a
46.57a
3.97a
45.67ab
8.21a
6 68.13a
46.27a
3.71a
40.40b
7.50a
8 71.06a
48.03a
3.92a
43.34b
7.83a
PH-Plant height, SH-Stem Height, LW-Leaf width, LL-Leaf length, NL-Number of leaves
Means with the same letter in the same column are not significantly different at P< 0.05 using Duncan’s Multiple Range
Test (DMRT)
Table 3. Genotypic variation in five morphological characters of maize
Genotypes PH(cm) SH(cm) LW(cm) LL(cm) NL
1. EVDT.Y2000STRQPM 1.01a
75.04a
4.52abc
51.58abc
9.17a
2. TZEYDTSTRQPM 86.26ab
68.38ab
4.48abc
50.92abcd
6.92abc
3. DMRESRWQPM 85.19abc
56.28bc
4.70ab
53.64ab
8.5ab
4. TZE-OR2DTSTRQPM 77.74bcd
39.85cd
4.18abc
44.94abcd
8.17ab
5.2009 TZE-ORIDTSTRQPM 74.06bcd
40.39cd
4.07abcd
58.69a
8.5ab
6. TZEI 22 71.44bcde
44.29cd
4.50abc
42.73bcd
8.00ab
7. TZEI 98 66.23bcde
37.30cd
4.85a
46.45abcd
8.33ab
8. OBANTAPA 64.02bcde
43.43cd
3.83abcde
51.73abc
7.67ab
9. TZEI 25 62.39cde
34.72d
3.93abcde
47.43abcd
7.58ab
10. TZEI 4 61.74de
34.38d
3.73abcde
45.20abcd
8.75ab
11.TZEI 161 61.43de
39.51cd
3.28cde
36.00cd
6.58bc
12. BODIJA 56.78de
33.02d
3.45bcde
49.21abcd
7.83ab
13. EVDT-W99STR 48.83e
29.22de
2.72ef
37.50cd
5.25cd
14. OJO MARKET 48.43e
27.40de
3.49bcde
49.68abcd
6.42bc
15. 98SYNWECSTRQPM 47.68e
25.78de
2.84def
36.00cd
5.00cd
16. TZYBPDTSTRQPM 23.73f
12.71e
1.78f
19.55e
3.42e
PH-Plant height, SH-Stem Height, LW-Leaf width, LL-Leaf length, NL-Number of leaves per plant
Means with the same letter in the same column are not significantly different at P> 0.05 using Duncan’s Multiple Range
Test (DMRT)
Table 4. Correlation co-efficient of five morphological characters, genotypes and growth stages of maize
PH(cm) SH(cm) LW(cm) LL(cm) NL REP WAP
SH(cm) 0.91**
LW(cm) 0.87**
0.73**
LL(cm) 0.72**
0.53* 0.83**
NL 0.87** 0.75** 0.87**
0.73**
WAP 0.22ns
0.35*
0.08ns
-0.17ns
0.231ns
0.00ns
Genotype -0.22ns
-0.15ns
-0.24ns
0.005ns
-0.19ns
0.00ns
0.00ns
PH-plant height, SH-stem height, LW-leaf width, LL-leaf length, NL-number of leaves, REP-replicate, WAP-week after
planting *, ** significant at P < 0.05 and P < 0.01respectively ns= non-significant
morphological characters of maize genotypes. The
reason for the observed differences in the
morphological characters at different weeks after
planting might be due to the variation in their genetic
makeup [4,10]. These results are in agreement with
those obtained by [4] who had reported significant
amount of variability for different morphological
traits in maize genotypes. [4] also reported increased
performance of heterogeneous populations over those
resulted from selfing. Therefore, the differences
observed for morphological characters in maize
genotypes might be due to genetic variations among
the hybrids. This supported the findings of [11]
who observed similar results on genetic differences
for plant height among different maize hybrids. The
morphological variation in the expression of the
characters however, could be due to the contributions
of genotype, environment and their interactions. The
genotypic variation measures the extent of genetic
variability in a crop species, and also quantifies the
extent of variability in different characters [12].
Agbolade et al.; JOBARI, 13(1): 56-61, 2016
60
Correlations studies revealed the positive associations
of plant height with stem height, leaf length and leaf
width, and contributed significantly to the production
of number of leaves as similarly observed by [13-16].
The variation in morphological characters is essential
for selection in maize breeding [15,17]. The maize
improvement programme is dependent not only on the
amount of genetic variability present in the
population, but also on the extent to which it is
heritable, which sets the limit of progress that can be
achieved through selection [4,18-21].
5. CONCLUSION
The maize genotypes evaluated exhibited variability
for most of the traits. The morphological characters
could be encouraged for further selection in
improvement of maize breeding in Nigeria. The
findings from this research show genetic variability
among the studied germplasm. Values and data
recorded are representatives of these genetic variants,
and could be used as reference in similar studies.
However, further investigation is needed to examine
the contributions of environmental interaction to the
performance of maize genotypes.
COMPETING INTERESTS
Authors have declared that no competing interests
exist.
REFERENCES
1. Food and Agriculture Organization of the
United Nations, Statistics Division. “Maize rice
and wheat: Area harvested, production
quantity, yield” Food and Agriculture
Organization. Co organized by the Agriculture
and Consumer Production. Department of FAO
in collaboration with Embrapa, IICA and
IFAD; 2010.
2. Olawuyi OJ, Odebode AC, Alfar A, Olakojo
SA, Adesoye AI. Performance of maize
genotypes and arbuscular mycorrhizal fungi in
Samara District of South West Region of
Doha- Qatar. Nigerian J. Mycol. 2010;3(1):86-
100.
3. Gautam R, Sthapit B, Subedi A, Poudel D,
Shrestha P, Eyzaguirre P. Home gardens
management of key species in Nepal: A way to
maximize the use of useful diversity for the
well being of poor farmers. Plant Genetic
Resources Characterization and Utilization
NIAB. 2008;1–12.
4. Olawuyi OJ, Bello OB, Ntube CV, Akanmu
AO. Progress from selection of some maize
cultivars’ response to drought in the Derived
Savanna of Nigeria. Agrivita. 2015;37(1):8-17.
ISSN: 0126-0537.
5. Olawuyi OJ, Odebode AC, Olakojo SA.
Genotypes × concentration × mycorrhiza
interaction on early maturing maize under
Striga lutea in Nigeria. In: Tielkes E, editor.
Book of Abstracts. Tropentag 2013.
International Research of Food security,
National Resource Management and Rural
Development; Sep 17–19; Stuttgart: University
of Hohenheim; 2013.
6. Olowe OM, Odebode AC, Olawuyi OJ,
Akanmu AO. Correlation, principal component
analysis and tolerance of maize genotypes to
drought and diseases in relation to growth
traits. American-Eurasian Journal of
Agricultural and Environmental Sciences.
2013;13(11):1554-1561.
7. Bello OB, Azeez MA, Abdulmaliq SY, Ige SA,
Mahamood J, Oluleye F, Afolabi MS. Yield
and disease reactions of quality protein maize
varieties in the southern Guinea savanna agro-
ecology of Nigeria. Int. J. Agric. Forestr. 2012;
2(5):203-209.
8. Finlay KW, Wilkinson GN. The analysis of
adaptation in plant breeding programme.
Australian J. Agric. Res. 1963;14:742-754.
9. Bello OB, Olawuyi OJ, Abdulmaliq SY, Ige
SA, Mahamood J, Azeez MA, Afolabi MS.
Yield performance and adaptation of early and
intermediate drought-tolerant maize genotypes
in Guinea Savanna of Nigeria. Sarhad J. Agric.
Sci. 2014;30(1):53-66.
10. Weish J. Fundamentals of plant breeding and
genetics. John Wiley & Sons, New York; 1981.
11. Umakanth A, Satyanarayana V, Nagesh E,
Kumar MV. Genetic variability in two maize
populations. Ann. Agric. Res. 2000;21:230-
233.
12. Bello OB, Olawuyi OJ, Azeez MA, Lawal M,
Abdulmaliq SY, Afolabi M, Ige SA,
Mahamood J. Genotypic variation in protein,
lysine and tryptophan contents of extra early
maize genotypes and their quality protein
versions in nitrogen stress and non–stress
environments. J. Res. (Science). 2012;22–
23(1–4):27–48.
13. Ojo DK, Omikunle OA, Oduwaye OA, Ajala
MO, Ogunbayo SA. Heritability, Character
correlation and path coefficient analysis among
six inbred- lines of maize (Zea mays L.). World
J. Agric. Sci. 2006;2(3):352-358.
14. Sadek SE, Ahmed MA, Abd El-Ghaney HM.
Correlation and path coefficient analysis in five
parents inbred lines and their six white maize
(Zea mays L.) single crosses developed and
Agbolade et al.; JOBARI, 13(1): 56-61, 2016
61
grown in Egypt. J. Applied Sci. Res. 2006;
2(3):33.41.
15. Abou-Deif MH. Estimation of gene effects on
some agronomic characters in five hybrids and
six population of maize (Zea mays L.). World
J. Agric. Sci. 2007;3(1):86-90.
16. Olawuyi OJ, Odebode AC, Babalola BJ,
Afolayan ET, Onu CP. Potentials of arbuscular
mycorrhiza fungus in tolerating drought in
maize (Zea mays L.). Amer. J. Plant Sci.
2014a;5:779-786.
Available:http://dx.doi.org/10.4236/ajps.2014.5
6092
17. Olawuyi OJ, Odebode AC, Olakojo SA, Popoola
OO, Akanmu AO, Izenegu JO. Host-pathogen
interaction of maize (Zea mays L.) and
Aspergillus niger as influenced by arbuscular
mycorrhizal fungi (Glomus deserticola). Arch.
Agron. Soil Sci. 2014b;60(11):1577-1591.
DOI:10.1080/03650340.2014.902533.
18. Najeeb S, Rather AG, Parray GA, Sheikh FA,
Razvi SM. Studies on genetic variability,
genotypic correlation and path coefficient
analysis in maize under the high altitude
temperate conditions of Kashmir. Maize
Genetics Cooperation Newsletter. 2009;83:46.
19. Hussain N, Khan MY, Baloch MS. Screening
of maize varieties for grain yield at Dera Ismail
Khan. Journal of Animal and Plant Sciences.
2011;21(3):626-628.
20. Khan K, Sher H, Iqbal M, Al-Qurainy F.
Development and release of indigenous maize
hybrids to enhance maize yield in Khyber-
Pakhtoonkhua province of Pakistan. Afr. J.
Agric. Res. 2011;6(16):3789-3792.
21. Wang X, Chang J, Qin G, Zhang S, Cheng X,
Li C. Analysis on yield components of elite
maize variety Xundan 20 with super high yield
potential. Afr. J. Agric. Res. 2011;6(24):5490-
5495.
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GENETIC DIVERSITY AND CORRELATED RESPONSE TO SELECTION OF GRAIN YIELD AND ASSOCIATED CHARACTERS IN MAIZE (Zea mays L.)

  • 1. _____________________________________________________________________________________________________ *Corresponding author: Email: obbello2002@yahoo.com; Original Research Article Journal of Basic and Applied Research International 13(1): 56-61, 2016 ISSN: 2395-3438 (P), ISSN: 2395-3446 (O) International Knowledge Press www.ikpress.org GENETIC DIVERSITY AND CORRELATED RESPONSE TO SELECTION OF GRAIN YIELD AND ASSOCIATED CHARACTERS IN MAIZE (Zea mays L.) J. O. AGBOLADE1 , O. J. OLAWUYI2 , O. B. BELLO3* , O. D. OLUSEYE1 AND R. J. 1. KOMOLAFE1 1 Department Plant Science and Biotechnology, Federal University, Oye Ekiti, Nigeria. 2 Department of Botany, University of Ibadan, Ibadan, Oyo State, Nigeria. 3 Department of Biological Sciences, Fountain University, Osogbo, Osun State, Nigeria. AUTHORS’ CONTRIBUTIONS This work was carried out in collaboration among all authors. Author JOA designed the study, wrote the protocol and interpreted the data. Author ODO anchored the field study, gathered the initial data and performed preliminary data analysis. Author OBB, the corresponding author and authors OJO and RJA managed the literature searches and produced the initial draft. All authors read and approved the final manuscript. Received: 22nd July 2015 Accepted: 20th August 2015 Published: 3rd October 2015 __________________________________________________________________________________ ABSTRACT Sixteen genotypes of maize were evaluated for genetic variability and character associations in the Research Farm of the Department of Botany, University of Ibadan, Nigeria for 90 days in the 2012, 2013 and 2014 cropping seasons. Perforated polythene bags (18 × 9 cm) were filled with 6kg sandy-loam soil and were spaced at a distance of 10 cm apart between rows. Three seeds from each genotype were then planted per bag without treatment in three replicates. Data on plant and stem height, leaf width, leaf length and number of leaves were collected after planting at 14 days interval on each replicate for a particular genotype. The plant height of EVDT.Y200STRQPM genotype was significantly (p < 0.05) different from other genotypes, while genotype pairs; TZE-OR2DTSTRQPM and 2009TZE-ORIDTSTRQPM, TZEI 22, TZEI 98 and OBANTAPA, TZEI 4, TZEI 161, BODIJA as well as EVDT-W99STR, OJO, 98SYNWECSTRQPM were similar to each other. The result of correlation coefficient shows that stem height was highly significant and positively correlated with the plant height (p < 0.01; r = 0.91). The genotype is negative and non-correlated with plant height, stem height, leaf width and number of leaves, but positive and non-significantly associated with leaf length, replicate and week after planting. Keywords: Maize genotype; character; variability; morphology; genetic diversity; germplasm. 1. INTRODUCTION Maize (Zea mays L.) is one of the most widely grown grain crops domesticated by indigenous peoples in prehistoric times with 332 million metric tons annually in the United States of America [1,2]. The leafy stalk produces ears which contain grains called kernels consisting of an endosperm, embryo, pericarp and tip cap. The kernels are used in cooking as a vegetable or starch [3]. Sugar-rich varieties called
  • 2. Agbolade et al.; JOBARI, 13(1): 56-61, 2016 57 sweet corn are usually grown for human consumption, while field corn varieties are used as chemical feed stocks [1,2]. Maize also plays an important role in the prevention of digestive ailments, and can be processed for a range of uses both as an ingredient in food or drinks, such as corn syrup in soft drinks or maize meal and for industrial purposes [4]. The starch part of the kernel is used in foods and many other products such as adhesives, clothing, pharmaceutical tablets, paper production, and can be converted into sweeteners, and used in products such as sweets, bakery products and jams. The oil from the embryo is used in cooking oils, margarine and salad dressings, while the protein, hulls and soluble part of the maize kernel are used in poultry feed [5]. The applications of genetics in correlation studies are used in evaluating variability in maize through character association [5,6]. Environmental changes across locations and years due to climatic conditions, disease and pest pressures, soil fertility and socio- economic factors affect the yield performance of maize [5,7]. [4] emphasized the need to select genotypes that outperform the local commercial varieties in their 'safety-first screening approach. Yield stability measures the ability of a variety to maintain high yields across environments [8.9]. A stable responsive genotype is one that is able to utilize resources available in the high yielding environment while maintaining above average performance in all other environments. It is only the high yielding, stable and responsive variety that will satisfy the needs of farmers in their diverse and changing farming environments [9]. The morphological characters of maize which include plant height, stem height, leaf length, leaf width, tassel arrangement, number of leaves, ear length, cob diameter and yield may vary depending on the genotype and environment in which they are grown [5]. Therefore, this study examined the contribution of genotypes and growth stages on variations in morphological characters of maize germplasm. 2. MATERIALS AND METHODS 2.1 Experimental Site and Sources of Planting Materials This study was carried out in an open field at the Research Farm of the Department of Botany, University of Ibadan, Ibadan, Nigeria between March and May, 2012, 2013 and 2014. A total of sixteen genotypes of maize were evaluated in this study. Fourteen genotypes were collected from the germplasm of the International Institute of Tropical Agriculture (IITA), Ibadan, Nigeria and they include: TZEI 161, TZEI 98, TZEI 25, TZEI 22, TZEI, TZEI 4, TZEOR2DTSTRQPM, DMRESRWQPM, EVDTY2000STRQPM, TZEYDTSTRQPM, EVDTW99STR, 98SYNWECST-RQPM, 2009TZEORIDTSTSTRQPM, OBANTAPA and TZEYBPDTSTRQPM. Two varieties were also obtained from Ojo and Bodija markets. 2.2 Research Design and Method of Planting The experiment was laid out factorially in a complete randomized design (CRD) with three replicates in each polythene bag without treatments. Perforated polythene bags (18 × 9 cm) were filled with 6 kg sandy-loam soil, and were spaced at a distance of 10cm apart between the rows. Three seeds from each genotype were then planted per bag without in three different rows. Thinning was later carried out to leave one healthy plant per pot at two weeks after planting. Standard cultural practices such as proper weeding and watering of plants were also carried out. 2.3 Data Collection and Analysis Data were collected after planting at 14days interval on each replicate for a particular genotype. Data on the following growth characters were taken: Plant height, Stem height, Leaf width, Leaf length and Number of leaves. These were measured using a meter rule in centimeter (cm), except number of leaves which was determined by counting. Data collected were subjected to analysis of variance (ANOVA) using SPSS, version 16.0. The model for analyses of variance included genotype, replicate, weeks after planting. The means were separated by Duncan's multiple range test at 5% level of probability, while Pearson correlation co-efficient was also done to establish relationship among the characters. 3. RESULTS 3.1 Mean Square of Genotype, Replicate and Different Growth Stages for Morphological Characters of Maize The results from Table 1 shows that the weeks after planting was highly significant (p<0.01) for plant height, stem height and number of leaves but non- significant for leaf width and leaf length, while the genotypic effect was highly significant for plant height, stem height, leaf width and leaf length and number of leaves. 3.2 Effect of Growth Stages on Morphological Characters of Maize The plant height and stem height are significantly higher at 8 weeks after planting (WAP) with 71.06 cm
  • 3. Agbolade et al.; JOBARI, 13(1): 56-61, 2016 58 and 48.03 cm, respectively than other growth stages (Table 2). The leaf length (50.86 cm) was the highest at 2 WAP, while the highest number of leaves (8.21) and leaf width (3.97 cm) were recorded at 4 WAP. The 4, 6 and 8 WAP for plant height, stem height, leaf width and number of leaves were not significantly different from one another, while the leaf length at 2 WAP was significantly different from other weeks, but significant differences did not exist between 6 and 8 WAP. The leaf width was not significantly different from each other for all the weeks. 3.3 Genotypic Variation in Morphological Characters of Maize The plant height and stem height of EVDT.Y200STRQPM were significantly (p<0.05) higher and different from other genotypes (Table 3). TZE-QR2DTSTRQPM and 2009TZE- ORIDTSTRQPM genotypes were not significantly (p>0.05) different from each other, but different from TZEI 22, TZEI 98 and OBANTAPA, as well as TZEI 4, TZEI 161, BODIJA and EVDT-W99STR, OJO, 98SYNWECSTRQPM which were not different from one another, but significantly different from TZYBPDTSTRQPM. The stem height for TZE-QR2DTSTRQPM, 2009TZEORIDTSTRQPM, TZEI 22, TZEI 98, OBANTAPA and TZEI 161 genotypes were not significantly different from each other, but different from TZEI 25, TZEI 4 and BODIJA which are not significantly different from each other. EVDT- W99STR, OJO and 98SYNWECSTRQPM did not produce significant effect from each other, but significantly different from TZYBPDTSTRQPM. The TZEI 98, 2009TZEORIDTSTRQPM and EVDT.Y200STRQPM genotypes were significantly higher but different for leaf width, leaf length and number of leaves than other genotypes. There is no genotypic difference among EVDT.Y2000STRQPM, TZEYDTSTRQPM, TZE-QR2DTSTRQPM and TZEI-22 as well as OBANTAPA, TZEI 25 and TZEI 4 for leaf width, while similar effect was observed for BODIJA and OJO markets. The leaf length of TZEYDTSTRQPM, TZE-QR2DTSTRQPM, TZEI 98, TZEI 25, TZEI 4, BODIJA and OJO produced similar genetic effect different from TZEI 161, EVDT-W99STR and 98SYNWECSTRQPM as well as EVDT.Y2000STRQPM and OBANTAPA. The genotypic effect for number of leaves per plant was not significantly different in nine genotypes, while TZEI 161 and OJO as well as EVDT-W99STR and 98SYNWECSTRQPM had genetic similarities. 3.4 Correlation Co-efficient of Five Morphological Characters, Genotypes and Growth Stages of Maize The results in Table 4 show that stem height was highly significant and positively correlated with the plant height (p<0.01; r = 0.91). The leaf length was highly significant and positively associated with plant height (r = 0.72), stem height (r = 0.53) and leaf width (r = 0.83), while the number of leaves was positively related with plant height (r = 0.87), stem height (r = 0.75), leaf width (r = 0.87) and leaf length (r = 0.73). The plant height was positive and strongly correlated with stem height, leaf width, leaf length and number of leaves with (p<0.01; r = 0.91, 0.87 and 0.72). There was no association between plant height and genotypes. Again, the leaf length and number of leaves were strongly related with leaf width (p<0.01; r = 0.83 and 0.87) respectively. The genotype was negative and non-significantly related with plant height (r = -0.22), stem height (r = -0.15), leaf width (r = -0.24), leaf length (r = -0.17), number of leaves (r = -0.19) and growth stages. 4. DISCUSSION The growth stages and genotypes which recorded high significant effect on most of the morphological characters is an indication of variability which is a key to crop improvement. This conforms to [4] who had reported significant amount of variability for different morphological traits in maize genotypes and also reported significant genetic differences for Table 1. Mean square of genotype, replicate, weeks after planting of five morphological characters of maize Source of variation Df PH SH LWD LL NL Year 2 10.11 ns 3.21 ns 1.17ns 8.31ns 1.22 ns Replicate 2 307.49ns 153.85ns 0.17ns 88.02ns 4.26ns Weeks after planting 3 4210.96** 9034.21** 2.27ns 938.51ns 71.31** Genotype 15 4069.67** 2933.30** 8.20** 1046.31** 29.81** Error 171 619.47 421.40 1.88 264.74 6.67 Total 192 700.22 833.67 4.92 300.19 23.64 PH-Plant height, SH-Stem Height, LW-Leaf width, LL-Leaf length, NL-Number of leaves ** P< 0.01 highly significant,*P< 0.05 significant
  • 4. Agbolade et al.; JOBARI, 13(1): 56-61, 2016 59 Table 2. Effect of growth stages on five morphological characters of maize Weeks after Planting PH(cm) SH(cm) LW(cm) LL(cm) NL 2 50.89b 19.56b 3.49a 50.86a 5.48b 4 69.19a 46.57a 3.97a 45.67ab 8.21a 6 68.13a 46.27a 3.71a 40.40b 7.50a 8 71.06a 48.03a 3.92a 43.34b 7.83a PH-Plant height, SH-Stem Height, LW-Leaf width, LL-Leaf length, NL-Number of leaves Means with the same letter in the same column are not significantly different at P< 0.05 using Duncan’s Multiple Range Test (DMRT) Table 3. Genotypic variation in five morphological characters of maize Genotypes PH(cm) SH(cm) LW(cm) LL(cm) NL 1. EVDT.Y2000STRQPM 1.01a 75.04a 4.52abc 51.58abc 9.17a 2. TZEYDTSTRQPM 86.26ab 68.38ab 4.48abc 50.92abcd 6.92abc 3. DMRESRWQPM 85.19abc 56.28bc 4.70ab 53.64ab 8.5ab 4. TZE-OR2DTSTRQPM 77.74bcd 39.85cd 4.18abc 44.94abcd 8.17ab 5.2009 TZE-ORIDTSTRQPM 74.06bcd 40.39cd 4.07abcd 58.69a 8.5ab 6. TZEI 22 71.44bcde 44.29cd 4.50abc 42.73bcd 8.00ab 7. TZEI 98 66.23bcde 37.30cd 4.85a 46.45abcd 8.33ab 8. OBANTAPA 64.02bcde 43.43cd 3.83abcde 51.73abc 7.67ab 9. TZEI 25 62.39cde 34.72d 3.93abcde 47.43abcd 7.58ab 10. TZEI 4 61.74de 34.38d 3.73abcde 45.20abcd 8.75ab 11.TZEI 161 61.43de 39.51cd 3.28cde 36.00cd 6.58bc 12. BODIJA 56.78de 33.02d 3.45bcde 49.21abcd 7.83ab 13. EVDT-W99STR 48.83e 29.22de 2.72ef 37.50cd 5.25cd 14. OJO MARKET 48.43e 27.40de 3.49bcde 49.68abcd 6.42bc 15. 98SYNWECSTRQPM 47.68e 25.78de 2.84def 36.00cd 5.00cd 16. TZYBPDTSTRQPM 23.73f 12.71e 1.78f 19.55e 3.42e PH-Plant height, SH-Stem Height, LW-Leaf width, LL-Leaf length, NL-Number of leaves per plant Means with the same letter in the same column are not significantly different at P> 0.05 using Duncan’s Multiple Range Test (DMRT) Table 4. Correlation co-efficient of five morphological characters, genotypes and growth stages of maize PH(cm) SH(cm) LW(cm) LL(cm) NL REP WAP SH(cm) 0.91** LW(cm) 0.87** 0.73** LL(cm) 0.72** 0.53* 0.83** NL 0.87** 0.75** 0.87** 0.73** WAP 0.22ns 0.35* 0.08ns -0.17ns 0.231ns 0.00ns Genotype -0.22ns -0.15ns -0.24ns 0.005ns -0.19ns 0.00ns 0.00ns PH-plant height, SH-stem height, LW-leaf width, LL-leaf length, NL-number of leaves, REP-replicate, WAP-week after planting *, ** significant at P < 0.05 and P < 0.01respectively ns= non-significant morphological characters of maize genotypes. The reason for the observed differences in the morphological characters at different weeks after planting might be due to the variation in their genetic makeup [4,10]. These results are in agreement with those obtained by [4] who had reported significant amount of variability for different morphological traits in maize genotypes. [4] also reported increased performance of heterogeneous populations over those resulted from selfing. Therefore, the differences observed for morphological characters in maize genotypes might be due to genetic variations among the hybrids. This supported the findings of [11] who observed similar results on genetic differences for plant height among different maize hybrids. The morphological variation in the expression of the characters however, could be due to the contributions of genotype, environment and their interactions. The genotypic variation measures the extent of genetic variability in a crop species, and also quantifies the extent of variability in different characters [12].
  • 5. Agbolade et al.; JOBARI, 13(1): 56-61, 2016 60 Correlations studies revealed the positive associations of plant height with stem height, leaf length and leaf width, and contributed significantly to the production of number of leaves as similarly observed by [13-16]. The variation in morphological characters is essential for selection in maize breeding [15,17]. The maize improvement programme is dependent not only on the amount of genetic variability present in the population, but also on the extent to which it is heritable, which sets the limit of progress that can be achieved through selection [4,18-21]. 5. CONCLUSION The maize genotypes evaluated exhibited variability for most of the traits. The morphological characters could be encouraged for further selection in improvement of maize breeding in Nigeria. The findings from this research show genetic variability among the studied germplasm. Values and data recorded are representatives of these genetic variants, and could be used as reference in similar studies. However, further investigation is needed to examine the contributions of environmental interaction to the performance of maize genotypes. COMPETING INTERESTS Authors have declared that no competing interests exist. REFERENCES 1. Food and Agriculture Organization of the United Nations, Statistics Division. “Maize rice and wheat: Area harvested, production quantity, yield” Food and Agriculture Organization. Co organized by the Agriculture and Consumer Production. Department of FAO in collaboration with Embrapa, IICA and IFAD; 2010. 2. Olawuyi OJ, Odebode AC, Alfar A, Olakojo SA, Adesoye AI. Performance of maize genotypes and arbuscular mycorrhizal fungi in Samara District of South West Region of Doha- Qatar. Nigerian J. Mycol. 2010;3(1):86- 100. 3. Gautam R, Sthapit B, Subedi A, Poudel D, Shrestha P, Eyzaguirre P. Home gardens management of key species in Nepal: A way to maximize the use of useful diversity for the well being of poor farmers. Plant Genetic Resources Characterization and Utilization NIAB. 2008;1–12. 4. Olawuyi OJ, Bello OB, Ntube CV, Akanmu AO. Progress from selection of some maize cultivars’ response to drought in the Derived Savanna of Nigeria. Agrivita. 2015;37(1):8-17. ISSN: 0126-0537. 5. Olawuyi OJ, Odebode AC, Olakojo SA. Genotypes × concentration × mycorrhiza interaction on early maturing maize under Striga lutea in Nigeria. In: Tielkes E, editor. Book of Abstracts. Tropentag 2013. International Research of Food security, National Resource Management and Rural Development; Sep 17–19; Stuttgart: University of Hohenheim; 2013. 6. Olowe OM, Odebode AC, Olawuyi OJ, Akanmu AO. Correlation, principal component analysis and tolerance of maize genotypes to drought and diseases in relation to growth traits. American-Eurasian Journal of Agricultural and Environmental Sciences. 2013;13(11):1554-1561. 7. Bello OB, Azeez MA, Abdulmaliq SY, Ige SA, Mahamood J, Oluleye F, Afolabi MS. Yield and disease reactions of quality protein maize varieties in the southern Guinea savanna agro- ecology of Nigeria. Int. J. Agric. Forestr. 2012; 2(5):203-209. 8. Finlay KW, Wilkinson GN. The analysis of adaptation in plant breeding programme. Australian J. Agric. Res. 1963;14:742-754. 9. Bello OB, Olawuyi OJ, Abdulmaliq SY, Ige SA, Mahamood J, Azeez MA, Afolabi MS. Yield performance and adaptation of early and intermediate drought-tolerant maize genotypes in Guinea Savanna of Nigeria. Sarhad J. Agric. Sci. 2014;30(1):53-66. 10. Weish J. Fundamentals of plant breeding and genetics. John Wiley & Sons, New York; 1981. 11. Umakanth A, Satyanarayana V, Nagesh E, Kumar MV. Genetic variability in two maize populations. Ann. Agric. Res. 2000;21:230- 233. 12. Bello OB, Olawuyi OJ, Azeez MA, Lawal M, Abdulmaliq SY, Afolabi M, Ige SA, Mahamood J. Genotypic variation in protein, lysine and tryptophan contents of extra early maize genotypes and their quality protein versions in nitrogen stress and non–stress environments. J. Res. (Science). 2012;22– 23(1–4):27–48. 13. Ojo DK, Omikunle OA, Oduwaye OA, Ajala MO, Ogunbayo SA. Heritability, Character correlation and path coefficient analysis among six inbred- lines of maize (Zea mays L.). World J. Agric. Sci. 2006;2(3):352-358. 14. Sadek SE, Ahmed MA, Abd El-Ghaney HM. Correlation and path coefficient analysis in five parents inbred lines and their six white maize (Zea mays L.) single crosses developed and
  • 6. Agbolade et al.; JOBARI, 13(1): 56-61, 2016 61 grown in Egypt. J. Applied Sci. Res. 2006; 2(3):33.41. 15. Abou-Deif MH. Estimation of gene effects on some agronomic characters in five hybrids and six population of maize (Zea mays L.). World J. Agric. Sci. 2007;3(1):86-90. 16. Olawuyi OJ, Odebode AC, Babalola BJ, Afolayan ET, Onu CP. Potentials of arbuscular mycorrhiza fungus in tolerating drought in maize (Zea mays L.). Amer. J. Plant Sci. 2014a;5:779-786. Available:http://dx.doi.org/10.4236/ajps.2014.5 6092 17. Olawuyi OJ, Odebode AC, Olakojo SA, Popoola OO, Akanmu AO, Izenegu JO. Host-pathogen interaction of maize (Zea mays L.) and Aspergillus niger as influenced by arbuscular mycorrhizal fungi (Glomus deserticola). Arch. Agron. Soil Sci. 2014b;60(11):1577-1591. DOI:10.1080/03650340.2014.902533. 18. Najeeb S, Rather AG, Parray GA, Sheikh FA, Razvi SM. Studies on genetic variability, genotypic correlation and path coefficient analysis in maize under the high altitude temperate conditions of Kashmir. Maize Genetics Cooperation Newsletter. 2009;83:46. 19. Hussain N, Khan MY, Baloch MS. Screening of maize varieties for grain yield at Dera Ismail Khan. Journal of Animal and Plant Sciences. 2011;21(3):626-628. 20. Khan K, Sher H, Iqbal M, Al-Qurainy F. Development and release of indigenous maize hybrids to enhance maize yield in Khyber- Pakhtoonkhua province of Pakistan. Afr. J. Agric. Res. 2011;6(16):3789-3792. 21. Wang X, Chang J, Qin G, Zhang S, Cheng X, Li C. Analysis on yield components of elite maize variety Xundan 20 with super high yield potential. Afr. J. Agric. Res. 2011;6(24):5490- 5495. ________________________________________________________________________________________ © Copyright International Knowledge Press. All rights reserved.