Molecular characterization and multi-environmental evaluation of field corn (Zea mays) inbreds for kernel traits
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Keywords:
AMMI analysis, Gene based markers, Kernel size, Kernel weight, Molecular diversityAbstract
Kernel size and kernel weight are important yield attributing traits in maize (Zea mays L.). Though yield hascomplex inheritance, understanding and improvement of yield per se becomes relatively easy, when maize breedingis targeted for genetic enhancement of yield component traits. In the present investigation, a set of 45 tropical fieldcorn inbred lines were evaluated under three environments and at different location for kernel length, kernel thicknessand kernel weight traits. In a given location, environmental influence on the expression of these traits were negligibleas it was evident by exhibition of high heritability (broad sense) for the traits under study, however pooled effect ofenvironments showed some interactions. Based on the AMMI stability value, the inbred lines AI 04 followed by AI 37,AI 18, AI 25 and AI 35 were selected as highly stable genotypes for its yield per se. Inbred lines were characterizedusing gene-based markers linked to kernel traits. It was observed that molecular markers rightly classified the inbredlines into different groups based on their trait means. Furthermore, the makers, umc1890 and umc1120 were putativelylinked to kernel weight and kernel thickness respectively. These markers may be utilized for identification of suitabledonor and genetic improvement of kernel traits driven maize improvement program.Downloads
References
Anderson J A, Churchill G A, Autrique J E, Tanksley S D and Sorrells M E. 1993. Optimizing parental selection for genetic linkage maps. Genome 36: 181–86. DOI: https://doi.org/10.1139/g93-024
Bocianowski J, Niemann J and Nowosad K. 2019a. Genotype-by-environment interaction for seed quality traits in interspecific cross-derived Brassica lines using additive main effects and multiplicative interaction model. Euphytica 215: 7. DOI: https://doi.org/10.1007/s10681-019-2515-1
Bocianowski J, Nowosad K and Tomkowiak A. 2019. Genotype – environment interaction for seed yield of maize hybrids and lines using the AMMI model. Maydica 13(64): 1–8
Botstein D, White R L, Skolnick M, and Davis R W. 1980. Construction of a genetic linkage map in man using restriction fragment length polymorphisms. American Journal of Human Genetics. 32: 314–31.
Burton W G and Devane E H. 1953. Estimating heritability in tall fescue (Festuca arundinacea) from replicated clonal material. Agronomy Journal 45: 478–81. DOI: https://doi.org/10.2134/agronj1953.00021962004500100005x
Chen J, Zhang L, Liu S, Li Z, Huang R and Li Y. 2016. The genetic basis of natural variation in kernel size and related traits using a four-way cross population in maize. Plos one 11(4): 153428. DOI: https://doi.org/10.1371/journal.pone.0153428
Mikic S, Kondic-Spika A, Brbaklic L, Stanisavljevic D, Trkulja D, Tomicic M, Nastasic A, Kobiljski B, Prodanovic S and Momirovic G S. 2016. Multiple marker-traits associations for maize agronomic traits. Chilean Journal of Agricultural Research 76(3): 1–7. DOI: https://doi.org/10.4067/S0718-58392016000300006
Nowosad K, Liersch A, Popławska W and Bocianowski J. 2016. Genotype by environment interaction for seed yield in rapeseed (Brassica napus L.) using additive main effects and multiplicative interaction model. Euphytica 208: 187–94. DOI: https://doi.org/10.1007/s10681-015-1620-z
Oyekunle M A, Menkir H, Mani G, Olaoye I S, Usman S G, Ado U S, Abdullahi H O, Ahmed L B, Hassan R O, Abdulmalik H and Abubakar. 2017. Stability analysis of maize cultivars adapted to tropical environments using AMMI analysis. Cereal Research Communication 45(2): 336–45. DOI: https://doi.org/10.1556/0806.44.2016.054
Peiffer J A, Romay M C, Gore M A, Flint-Garcia S A, Zhang Z, Millard M J, Gardner C A C, McMullen M D, Holland J B, Bradbury P J and Buckler E S. 2014. The genetic architecture of maize height. Genetics 196(4): 1337–56. DOI: https://doi.org/10.1534/genetics.113.159152
Rafique M, Malhi A R, Altaf M, Saleem S and Khakwani K. 2018. Cluster analysis and genetic diversity of maize inbred lines. International Journal of Agricultural Innovation and Research 6(5): 1473–2319.
Rohlf F J. 1997. NTSYSpc: Numerical Taxonomy and Multivariate Analysis System, version 201. Department of Ecology and Evolution, State University of New York.
Saghai-Maroof M A, Soliman K M, Jorgensen R A and Allard R W.1984. Ribosomal DNA spacer length polymorphisms in barley: mendelian inheritance, chromosomal location, and population dynamics. Proceedings of National Academy of Sciences USA. 81: 8014–18. DOI: https://doi.org/10.1073/pnas.81.24.8014
Xu M, Jiang L, Ge M, Zhao H and Zhang T. 2015. Analysis of heterosis and quantitative trait loci for kernel shape related traits using triple testcross population in maize. Plos one 10 (4): 124779. DOI: https://doi.org/10.1371/journal.pone.0124779
Yan W. 2001, GGE biplot: a Windows application for graphical analysis of multi-environment trial data and other types of two-way data. Agronomy Journal 93: 1111–18. DOI: https://doi.org/10.2134/agronj2001.9351111x
Zhang X, Hirsch C N, Sekhon R S, de Leon N and Kaeppler S M. 2016. Evidence for maternal control of kernel size in maize from phenotypic and transcriptional analysis. Journal of Experimental Botany 67: 1907–17. DOI: https://doi.org/10.1093/jxb/erw006
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