Association studies between grain yield and agronomic traits of a MARS maize (Zea mays L.) population under drought and non-stress condition

Folusho A BANKOLE, Abebe MENKIR, Gbadebo OLAOYE, Oloruntoba OLAKOJO, Gedil MELAKU


The study aimed at examining the associations between yield and other traits under drought stress and non-stress conditions. A total of 150 MARS testcrosses were evaluated under both conditions at the International Institute of Tropical Agriculture substation for two years under during the dry season. Genotypic and phenotypic correlation, multiple stepwise regression and path co-efficient analyses were carried out to examine the relationship among the traits under both environments. Results showed anthesis-silking interval, days to silking, husk cover and plant aspect were significantly associated with yield under drought condition at both genotypic and phenotypic levels. Yield was positively correlated with plant and ear height but had a negative correlation with plant and ear aspect at both levels under well-watered condition. Regression analysis showed that ears per plant, plant aspect, ear aspect, days to silking, leaf death and plant height had a direct effect on yield, contributing a total of 71.1 % of observed variation under drought, while ears per plant, ear aspect, plant aspect, days to pollen shed, days to silking and plant height contributed about 31.42 % to yield under well-watered conditions. The study concluded that these traits be used as selection criteria as it will aid improvement of maize yield.


maize; association; grain yield; drought; well-watered; MARS; testcross

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Anjum S.A., L.C. Wang, M. Farooq, M. Hussain, L.L. Xue and C.M. Zou (2011). Brassinolide application improves the drought tolerance in maize through nodulation of enzymatic antioxidant and leaf gas exchange. Journal of Agronomy and crop science, 197, 177-185.

Asima Gazal, Zahoor Ahmed Dar, Ajaz Ahmad Lone, Nida Yousuf and Shazia Gulzar (2018). Studies on Maize Yield under Drought Using Correlation and Path Coefficient Analysis. Internantional Journal of Current Microbiology and Applied Science, 7(01), 516-521.

Badu-Apraku B., A. O. Talabi, B. E. Ifie, Y. C. Chabi, K. Obeng-Antwi, A. Haruna, and R. Asiedu (2018). Gains in Grain Yield of Extra-Early Maize during Three Breeding Periods under Drought and Rainfed Conditions. Crop Science.

Badu-Apraku, B., R.O. Akinwale, J. Franco, and M. Oyekunle. (2012a). Assessment of reliability of secondary traits in selecting for improved grain yield in drought and low nitrogen environments. Crop Science, 52, 2050-2062.

Badu-Apraku, B., M.A.B. Fakorede, A. Menkir, A.Y. Kamara, L. Akanvou, and Y. Chabi. (2004). Response of early maturing maize to multiple stresses in the Guinea savanna of West and Central Africa. Journal of Genetics and Breeding, 58, 119-130.

Bankole F., A. Menkir, G. Olaoye, J. Crossa, S. Hearne, N. Unachukwu and M. Gedil (2017). Genetic gains in grain yield and other traits in a maize population improved using marker assisted recurrent selection. Frontiers in plant science.

Bänziger M., H.R. Lafitte (1997a). Efficiency of secondary traits for improving maize for low-nitrogen target environments. Crop Science, 37, 1110-1117.

Barata C, M.J. Carena (2006). Classification of North Dakota maize inbred lines into heterotic groups based on molecular and testcross data. Euphytica, 151, 339-349.

Baretta D, M. Nardino, I.R. Carvalho and R. Nornberg (2016). Path analysis for morphological characters and grain yield of maize hybrids. Australian. Journal of Crop Science, 10, 1655-1661.

Barima, Y.S. D. Angaman, K. N’gouran, N. KoffI, F. Kardel, C. DE Cannière, R. Samson, (2014). Assessing atmospheric particulate 25 matter distribution based on Saturation Isothermal permanent magnetization of herbaceous and tree leaves in a tropical urban environment. Science of the Total Environment, 975-982.

Barros L.B., Moreira R.M.P., Ferreira J.M. (2010) Phenotypic, additive genetic and environment correlations of maize landraces populations in family farm systems. Scientia Agricola (Piracicaba, Braz.), 67, 685-691.

Bänziger, M., G.O. Edmeades, D. Beck, and M. Bellon. (2000). Breeding for Drought and Nitrogen Stress Tolerance in Maize: From Theory to Practice. Mexico, D.F.: International Maize and Wheat Improvement Centre (CIMMYT)

Begum, S., A. Ahmed, S.H. Omy, M.M. Rohman. and M. Amiruzzaman (2016). Genetic Variability, Character Association and Path Analysis in Maize (Zea mays L.). Bangladesh Journal of Agricultural Research, 41, 173-182.

Betrán F. J., D. Beck, M. Bänziger and G.O. Edmeades (2003). Genetic analysis of inbred and hybrid grain yield under stress and non-stress environments in tropical maize. Crop Science, 43, 807-817.

Bolaños J., G.O. Edmeades (1996). The importance of the anthesis-silking interval in breeding for drought tolerance in tropical maize. Field Crops Research, 48, 65-80.

Bolaños J., G.O. Edmeades (1993). Eight cycles of selec¬tion for drought tolerance in tropical maize II. Responses in reproductive behaviour. Field Crop Research, 31, 253-268.

Boyer J. and M. Westgate (2004). Grain yields with limited water. Journal of Experimental Botany, 55, 2385-2394.

Byrne, P.F., J. Bolanos, G.O. Edmeades, D.L. Eaton (1995). Gains from selection under drought versus multilocation testing in related tropical maize populations. Crop Science, 35, 63-69.

Cattivelli L., F. Rizza, F.W. Badeck, E. Mazzucotelli, A.M. Mastrangelo, E. Francia E., C. Mare, A. Tondelli, A.M. Stanca (2008). Drought tolerance improvement in crop plants: An integrative view from breeding to genomics. Field Crop Research, 105, 1-14.

Cooper M., C. Gho, R. Leafgren, T. Messina (2014). Breeding drought-tolerant maize hybrids for the US corn-belt: discovery to product. Journal of Experimental Botany, 65, 6196-6204.

Derera J., Tongoona, P., Vivek, B.S., Laing, M.D. (2008). Gene action controlling grain yield and secondary traits in southern African maize hybrids under drought and non-drought environments. Euphytica, 162, 411 422.

Dewey, D.R., and K.H. Lu. (1959). A correlation and path co-efficient analysis of components of crested wheat seed produc¬tion. Agronomy Journal, 51, 515-518.

Edmeades, G.O., Bolaños, J., Chapman, S.C., Lafitte, H.R. and M. Bänziger (1999). Selection improves drought tolerance in tropical maize populations: Gains in biomass, grain yield and harvest index. Crop Science, 39, 1306-1315.

Edmeades G.O., Banziger, M., Chapman, S.C., Ribaut, J.M. and J. Bolanos (1995). Recent Advances in Breeding for Drought Tolerance in Maize. In B. Badu-Apraku et al. (ed.) Contributing to food self-sufficiency: Maize Research and Development in West and Central Africa. Proc. of Regional Maize Workshop. 28 May-2 June 1995. IITA-Cotonou, Benin Republic. IITA, Ibadan, Nigeria. pp. 24-41.

FAO. (2010). The state of food insecurity in the world. Addressing food insecurity in protracted crises. Available at /en/ (verified 10

Frey F.P., Urbany, C., Hüttel, B., Reinhardt, R. and B. Stich (2015). Genomewide expression profiling and phenotypic evaluation of European maize inbreeds at seedling stage in response to heat stress. BMC Genomics,16,123.

Gong F, Wu, X., Zhang, H., Chen, Y. and W. Wang (2015). Making better maize plants for sustainable grain production in a changing climate. Frontiers in Plant Science, 6, 835.

Holland J.B. (2006). Estimating genotypic correlations and their standard errors using multivariate restricted maximum likelihood estimation with SAS Proc MIXED. Crop science, 46, 642-654.

Horton D.E., Johnson, N.C., Singh, D., Swain, D.L., Rajaratnam, B. and N.S. Diffenbaugh (2015). Contribution of changes in atmospheric circulation patterns to extreme temperature trends. Nature, 522, 465-469.

Kolawole A.O., Menkir, A. Blay, E. Ofori, K. and J. Kling (2018). Genetic advance in grain yield and other traits in two tropical maize composites developed via reciprocal recurrent selection. Crop Science 58:2360-2369

Lobell D.B., M. Bänziger, C. Magorokosho B. Vivek (2011). Non-linear heat effects on African maize as evidenced by historical yield trials. Nature Climate Change, 1, 42-45.

Lobell D.B., Roberts, M.J. Schlenker, W. Braun, N. and B.B. Little (2014). Greater sensitivity to drought accompanies maize yield increase in the U.S. Midwest. Science, 344, 516-519.

Malik H.N., Malik, S.I. Hussain, M. Chughtai, S.R. and H.I. Javed (2005). Genetic correlation among many quantitative characters in maize (Zea mays) hybrids. Journal of Agriculture and social sciences, 1(3), 262-265.

Matin, M.Q., Uddin, M., Rohman, M., Amiruzzaman, M., Azad, A. and B. Banik (2017). Genetic Variability and Path Analysis Studies in Hybrid Maize (Zea mays L.). American Journal of Plant Sciences, 8,

Menkir, A. (2008). Genetic variation for grain mineral content in tropical adapted maize inbred lines. Food chemistry, 110, 454-464.

Messmer R., Fracheboud, Y., Banziger, M., Vargas, M., Stamp, P. and J.M. Ribaut (2009). Drought stress and tropical maize: QTL-by-environment interactions and stability of QTLs across environments for yield components and secondary traits. Theoretical and Applied Genetics, 119, 913-930.

Mhike X., Okori, P., Magorokosho, C. and K. Semagn (2013). QTL mapping for morpho-physiological traits of MARS targeted maize biparental crosses under moisture stress and non-stress environments. 11th African Crop Science Proceedings, Sowing innovations for sustainable food and nutrition security in Africa., Uganda, 14-17 October, 2013, pp.553-558 ref.19 Entebbe.

Mohammadai H., Soleymani, A. and M. Shams (2012). Evaluation of Drought Stress Effects on Yield Components and Seed Yield of Three Maize Cultivars (Zea mays L.) in Isfahan region. International Journal of Agriculture and Crop Sciences, 4(19), 1436-1439.

Mohammadi R., Amri, A. and M. Nachit (2011). Evaluation and Characterization of International Durum Wheat Nurseries under Rainfed Conditions in Iran. International Journal of Plant Breeding, 5(2), 94-100.

Mohammadi R, Armion, M. Kahrizi, D. and A. Amri (2010). Efficiency of screening techniques for evaluating durum wheat genotypes under mild drought conditions. Journal of Plant Production, 4(1), 11-24.

Mohammadia, S.A., Prasanna, B. M. and N.N. Singh (2003). Sequential path model for determining interrelationship among grain yield and related characters in maize. Crop Science, 43, 1690-1697.

Najafian G. (2009). Drought tolerance indices, their relationships and manner of application to wheat breeding programmes. In: Mohammadi R, Haghparast R (Eds) Plant Science in Iran. Middle Eastern and Russian Journal of Plant Science and Biotechnology, 3(Special Issue 1), 25-34.

Nouri A, Etminan, A. Teixeira da Silva, J.A. and R. Mohammadi (2011). Assessment of yield, yield-related traits and drought tolerance of durum wheat genotypes (Triticum turjidum var. durum Desf.). Australian Journal of Crop Science, 5(1), 8-16.

Ober E.S. (2008). Breeding for improved drought tolerance and water use efficiency in HGCA (Eds): Arable cropping in a changing climate HGCA Higham, pp 28 - 37.

Olaoye G. (2009). Evaluation of new generations of maize streak virus (msv) resistant varieties for grain yield, agronomic potential and adaptation to Southern Guinea savanna ecology of Nigeria. Journal of Tropical Agriculture, Food, Environment and Extension, 8(2), 104-109.

Ort D. and S. Long (2014). “Limits on Yields in the Corn Belt.” Science, 344, 484-85.

Rajaram S. and M. Van Ginkle (2001). Mexico, 50 years of international wheat breeding. In Bonjean A.P., and Angus W.J. (eds) The world Wheat Book, A History of Wheat Breeding, Paris, France. Lavoisier Publishing, pp 579-604.

Ribaut J.M., Jiang, C., Gonzalez-de-Leon, D., Edmeades, G.O. and D.A. Hoisington (1997). Identification of quantitative trait loci under drought conditions in tropical maize. 2. Yield components and marker-assisted selection strategies. Theoretical and Applied Genetics, 94, 887-896.

SAS Institute (2009). SAS system for Windows v. 9.3. SAS Inst. Inc., Cary, NC.

Semagn K, Beyene, Y., Babu, R., Nair, S. Gowda, M.,Das, . B., Tarekegne, A., Mugo, S., Mahuku, G., Worku, M., Warburton, M.L., Olsen, M. and B.M. Prasanna (2015). Quantitative trait loci mapping and molecular breeding for developing stress resilient maize for sub-Saharan Africa. Crop Science, 55, 1-55.

Sio-Se Mardeh A., Ahmadi, A., Poustini, K. and V. Mohammadi (2006). Evaluation of drought resistance indices under various environmental conditions. Field Crop Research, 98, 222-229.

Tadesse L., Mekbib, F., Wakjira, A. and Z. Tadele (2018). Correlation and path coefficient analysis of yield and quality components of garden cress (Lepidium sativum L.) genotypes in Ethiopia. Journal of Plant Breeding and Crop Science, 10(10), 290-297.

Talabi, A.O., Badu-Apraku, B. and M.A.B. Fakorede. (2017). Genetic variances and relationship among traits of an early-maturing maize population under drought-stress and low N environ¬ments. Crop Science, 57, 681-692.

Tardieu F. and R. Tuberosa (2010). Dissection and modeling of abiotic stress tolerance in plants. Current Opinion in Plant Biology, 13, 206-212.

Ti-da G.E., Fang-Gong, S.U.I. and B.A. Ping (2006). Effects of water stress on the protective enzymes and lipid peroxidation in roots and leaves of summer maize. Agricultural Science China, 5, 291-298.

Venuprasad R., Lafitte, H.R. and G.N. Atlin (2007). Response to direct selection for grain yield under drought stress in rice. Crop Science, 47, 285-293.

Williams A.P. and C. Funk. (2011). A westward extension of the warm pool leads to a westward extension of the Walker circulation, drying eastern Africa. Climate Dynamics, 37, 2417-2430.

Wright, S. (1921). Correlation and Causation. Journal of Agricultural Research, 20, 557-585.

Xoconostle-Cazares B, Ramirez-Ortega, F.A., Flores-Elenes, L. and R. Ruiz Medrano (2011). Drought tolerance in crop plants. American Journal of Plant Physiology. ISSN 1557- 4539

Zheng J., Wu, A.Z., A.Z. Zheng, A.Z., Wang, Y.F., Cai, R., Shen, X.F., Xu, R.R., Liu, P., Kong, L.J. and S.T. Dong (2009). QTL mapping of maize (Zea mays) stay-green traits and their relationship to yield. Plant Breeding, 128, 54-62.

Ziyomo C. and R. Bernardo (2013). Drought tolerance in maize: indirect selection through secondary traits versus genome wide selection. Crop Science, 53, 1269-12.



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