ASSESSMENT OF INTER-TRAIT RELATIONSHIP AND IDENTIFICATION OF KEY SELECTION TRAITS FOR DROUGHT TOLERANCE IN MAIZE (ZEA MAYS L.) INBRED LINES UNDER WATER-STRESS CONDITIONS

Authors

  • S.D. ZAKARIYA Department of Plant Science, Institute for Agricultural Research, Ahmadu Bello University, Zaria, Kaduna State, Nigeria.
  • M. OYEKUNLE
  • I.S USMAN
  • A.M ABUBAKAR
  • A.I. EBINI
  • H.A. ABDULSALAMI

DOI:

https://doi.org/10.33003/jaat.2026.1202.19

Keywords:

index value, path–coefficient analysis,, correlation,, yield-related traits,, Zea mays L.

Abstract

Drought is a major constraint on crop production especially in maize. It significantly reduces productivity, affecting the livelihoods of millions and the overall economy. Malnutrition due to lack of essential nutrients like Vitamin A is another major challenge in many African countries. Breeding for pro-vitamin A drought-tolerant maize varieties is crucial to address these. Knowledge and understanding of interrelationships between grain yield and yield-related traits would ensure progress from selection in maize breeding programs through the use of appropriate selection indices. 107 pro-vitamin A maize inbred lines along with 3 testers were screened for drought tolerance in Samaru and Bagauda in 2020/2021 dry season to assess the relationship between grain yield and yield-related traits. The experiments were laid out in a 10 x 11 alpha lattice design and replicated two times using single-row plot of 5m long.  Inbred lines with high tolerant index values were identified; SLMP-59 has the highest index value (18.06) with a low yield reduction percentage of 38.07% making it the best drought response. The inbred SLMP-3 turns out to be most drought susceptible with drought index value of -12.59 and yield reduction of 83.39% The negative genotypic association of days to pollen (rg = -0.80**) and days to silking (rg = -0.79**) and phenotypic association of days to pollen (rp = -0.97***) and days to silking (rp = -0.98***) with grain yield implies that these traits are not co-inherited together with grain yield and that short anthesis silking interval period would increase grain yield due to the synchronization of pollen shedding and silking emergence. Traits associated with ear aspect are the most reliable traits for indirect selection for grain yield improvement under drought condition.

References

Adeniji, S.A., Alimi, K.G., Nassir, A.L., Olayiwola, M.O., Ariyo, O.J. (2020). Assessment of genetic diversity and inter-trait relationships in Maize (Zea mays L). Nigerian Journal of Genetics 34 (1): 118-127.

Ajala, S.O., Olaniyan, A.B., Olayiwola, M.O., Job, A.O. (2018). Yield improvement in maize for tolerance to low nitrogen. Plant Breeding, 137: 118–126. https://doi.org/org.ez35/10.1111/pbr.12568dsvb

Al-Tabbal J.A, Al-Fraihat A.H. (2012). Genetic variation, heritability, phenotypic and genotypic correlation studies for yield and yield components in promising barley genotypes. Journal of Agricultural Science. 4:3.

Badu-Apraku B, Abamu FJ, Menkir A, Fakorede MAB, Obeng-Antwi K, The C, (2003). Genotype by environment interactions in the regional early maize variety trials in west and central Africa. Maydica, 48: 93–104.

Badu-Apraku B, Fakorede MAB, Menkir A, Kamara AY, Adam A, (2004). Effect of drought screening methodology on genetic variances and covariances in pool 16 DT maize population. Journal of Agricultura Science, 142: 445–452.

Badu-Apraku B, Akinwale RO, Ajala SO, Menkir A, Fakorede MAB, Oyekunle M, (2011a). Relationships among traits of tropical early maize cultivars in contrasting environments. Agronomy Journal, 103: 717–729.

Badu-Apraku B, Fakorede MAB, Oyekunle M, Akinwale RO, (2011b). Selection of extra-early maize inbreds under low N and drought at flowering and grain-filling for hybrid production. Maydica, 56: 29–41.

Badu-Apraku B, Oyekunle M, (2012). Genetic analysis of grain yield and other traits of extra-early yellow maize inbreds and hybrid performance under contrasting environments. Field Crops Research, 129: 99–110.

Badu-Apraku, B., Oyekunle, M., Akinwale, R. O., & Aderounmu, M. (2013). Combining ability ahnd genetic diversity of extra-early white maize inbreds under stress and nonstress environments. Crop Science, 53(1), 9–26. https://doi.org/10.2135/cropsci2012.06.0381

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

Bänziger, M., Edmeades, G. O., Beck, D., & Bellon, M. (2000). Breeding for drought and nitrogen stress tolerance in maize: from theory to practice. Mexico, D.F.: CIMMYT, 68.

Board JE, Kang MS, Harville BG, (1997). Path analyses identify indirect selection criteria for yield of late-planted soybean. Crop Science, 37: 879–884.

Denmead OT, Shaw RH, (1960). The effects of soil moisture stress at different stages of growth on the development and the yield of corn. Agronomy Journal, 52: 272– 274

Dewey, J.R., and K.H. Lu. (1959). A correlation and path co-effi¬cient analysis of components of crested wheat seed produc¬tion. Agronomy Journal, 51:515–518. doi:10.2134/agronj1959.00021962005100090002x

Edmeades GO, Bänziger M, Chapman SC, Ribaut JM, Bolanos J, (1995). Recent advances in breeding for drought tolerance in maize. In: Badu-Apraku B, Fakorede MAB, Ouedraogo M, Carsky RJ, Menkir A (Eds.), Proceedings of regional maize workshop. May 28- June 2, 1995. IITA, Cotonou, Benin Republic pp 24-41.

Fakorede MAB, Badu-Apraku B, Kamara AY, Menkir A, Ajala SO, (2003). Maize revolution in West and Central African: an overview. In: Badu-Apraku B, Fakorede MAB, Ouedraogo M, Carsky RJ, Menkir A (Eds.), Proceedings of a Regional Maize Workshop. May 28–June 2, 1995, IITA–Cotonou, Benin Republic. WECAMAN/IITA, Ibadan, Nigeria, pp. 3–15.

Hailegebrial, K., Getachew, A., Legesse, W. and Yemane, T. (2015). Correlation and Path Coefficient Analysis of Grain Yield and Yield Related Traits in Maize (Zea mays L.) Hybrid, at Bako. Ethiopia Journal of Biology, Agriculture and Healthcare. 5(15) 3195-3208.

Hussain N, Rahman B., Faisal, K. (2016) Phenotypic and Genotypic Association between Maturity and Yield Traits in Maize (Zea mays L.) Hybrids. African Journal of Agriculture and Food Security. 4(3):157-160.

Kumar G.P., Reddy V, N., Kumar S.S., Rao P.V. (2014). Genetic Variability, Heritability and Genetic Advance Studies in Newly Developed Maize Genotypes (Zea mays L.). International Journal of Biological Science. 2(1):272-275.

Lafitte HR, Edmeades GO, (1994). Association between traits in tropical maize inbred lines and their hybrids under high and low soil nitrogen. Maydica, 40: 259– 267.

M. Saleh, A.U. Izge, M. U. Sabo, U. M. Buba and A. S. Fagam (2022). Principal component analysis in inbred of maize (Zea mays L.) in a diallel cross. Direct Research Journal of Agriculture and Food Science, 10 (1): 22-31. DOI:https://doi.org/10.26765/DRJAFS18853398.www.directresearchpublisher.org

Menkir A, Akintunde AO, (2001). Evaluation of the performance of maize hybrids, improved open-pollinated and farmers’ local varieties under well watered and drought stress conditions. Maydica, 46: 227–238.

Menkir A, Badu-Apraku B, The C, Adepoju A, (2003). Evaluation of heterotic patterns of IITA’s lowland white maize inbred lines. Maydica, 48: 161–170.

Meseka SK, Menkir A, Ibrahim AES, Ajala SO, (2006). Genetic analysis of performance of maize inbred lines selected for tolerance to drought under low nitrogen. Maydica, 51: 487–495.

Moghaddam M, Ehdaie B, Waines JG, (1998). Genetic variation for interrelationships among agronomic traits in landraces of bread wheat from southwestern Iran. Journal of Genetics and Breeding, 52: 73–81.

Nataraj V., Shahi J., Agarwal V. (2014). Correlation and Path Coefficient Analysis in Certain Inbred Genotypes of Maize (Zea mays L.) at Varanasi. International Journal of Innovative Research and Development. 3(1)14-17.

Ne Smith DS, Ritchie JT, (1992). Effects of water-deficits during tassel emergence on development and yield components of maize (Zea mays L.). Field Crops Research, 28: 251–256.

Oyekunle M, Badu-Apraku B, Hearne S, Franco J, (2015). Genetic diversity of tropical early-maturing maize inbreds and their performance in hybrid combinations under drought and optimum growing. Field Crop Research, 170: 55-65.

P. B. Italia, A.U. Izge, M. U. Sabo, U. M. Buba & A. S. Fagam (2022). Genetic analysis among elite Nigerian open-pollinated inbred lines of maize (Zea mays L.) for grain yield and other yield components. Direct Research Journal of Agriculture & Food Science, 10 (1): 11-21. DOI:https://doi.org/10.26765/DRJAFS18853398.www.directresearchpublisher.org

Pandey, Y., R. P. Vyas, J. Kumar, L. Singh, H. C. Singh, P. C. Yadav and Vishwanath, (2017). Heritability, Correlation and Path Coefficient Analysis for Determining Interrelationship Among Grain Yield and Related Characters in Maize (Zea mays L.). International Journal of Pure Applied Biosciences. 5(2):595-603.

Pavan, R., Lohithaswa, H. C., Wali, M. C., Prakash, G. and Shekara, B. G. (2011). Correlation and Path Coefficient Analysis of Grain Yield and Yield Contributing Traits in Single Cross Hybrids of Maize. Elecronic Journal of Plant Breeding. 2(2):253-257.

Saminu, Z., M. Oyekunle, A. M. Abubakar, I. E. Ahmed, (2021). Correlation between grain yield and physiological traits in the evaluation of drought tolerance of maize (Zea mays L.) inbred lines. Proceedings of the genetic society of Nigeria. Theme: genetics as a solution to environment, food security, health and sustainable economic development in the post pandemic era. 10th -14th October, 2021. Pp. 500-511.

Samonte SOPB, Wilson LT, McClung AM, (1998). Path analyses of yield and yield-related traits of fifteen diverse rice genotypes. Crop Science, 38: 1130–1136.

SAS Institute, (2011). Statistical Analysis Software (SAS) User's Guide. SAS Institute, Cary, NC (2011)

Sharma, S. K., Gill, M., & Singh, R. (2018). Genetic diversity in maize inbreds using yield and quality traits. Journal of Maize Research and Development, 34(1), 67–76.

Silva A.A., Tardin F.D., Rotta G.W., and Baldoni A.B., (2016). Characterization of Biomass Sorghum Cultivars Aiming to Generate Energy for the North Region of Mato Grosso, Brazil. Nativa. 4:175-178.http://dx.doi.org/10.14583/2317670.v04n03a11.

Talabi, A.O., B. Badu-Apraku, and M.A.B. Fakorede. (2017). Genetic variances and relationship among traits of an early-maturing maize population under drought-stress and low nitrogen environments. Crop Science, 57:681–692. doi:10.2135/cropsci2016.03.0177

Tanksley, S. D., & McCouch, S. R. (1997). Seed banks and molecular maps: Unlocking genetic potential from the wild. Science, 277(5329), 1063–1066.

Wright, D. M., Harrison, S. A., & Wang, C. (2020). Challenges and strategies for multivariate selection in genomic prediction models. Frontiers in Genetics, 11, 595.

Xu, Y., Li, P., Zou, C., Lu, Y., Xie, C., Zhang, X., Prasanna, B. M., & Olsen, M. S. (2017). Enhancing genetic gain in the era of molecular breeding. Journal of Experimental Botany, 68(11), 2641–2666. https://doi.org/10.1093/jxb/erx135

Yan W, Tinker NA, (2005). An integrated system of biplot analysis for displaying, interpreting, and exploring genotype by environment interactions. Crop Science, 45: 1004–1016.

Zeeshan, M., Ahsan, M., Arshad, W., Ali, S., Hussain, M. and Khan, M. I. (2013). Estimate of Correlated Responses for Some Polygenic Parameters in Yellow Maize (Zea mays L.) Hybrids. International Journal of Advance Research. 1(5), 24-29. Retrieved from http//www.journalijar.com.

Zhang, H., Li, J., & Wang, Z. (2021). Genetic diversity and heterotic grouping in elite maize germplasm using agronomic traits and SNP markers. Crop Science, 61(2), 1012–1023.

Zorana, S., Aleksandra, N., Ivica, D. M., and Bojan, J. (2011). Correlation and Path Analysis of Grain Yield and Morphological Traits in Test-cross Populations of Maize. Pakistan Journal of Botany. 43(3):1729-1731.

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Published

2026-09-03

How to Cite

ASSESSMENT OF INTER-TRAIT RELATIONSHIP AND IDENTIFICATION OF KEY SELECTION TRAITS FOR DROUGHT TOLERANCE IN MAIZE (ZEA MAYS L.) INBRED LINES UNDER WATER-STRESS CONDITIONS. (2026). FUDMA Journal of Agriculture and Agricultural Technology, 12(2), 165-177. https://doi.org/10.33003/jaat.2026.1202.19

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