Genetic diversity of exotic white maize genotypes through principal component and cluster analysis for yield-related traits
Keywords:
White maize, Genetic diversity, D2 statistics, Cluster analysis, Principal component analysisAbstract
Genetic variation is a fundamental requirement in crop improvement programs. The study evaluated 17 white maize genotypes to analyze genetic diversity across 13 yield-related parameters at the farm of Sher-e-Bangla Agricultural University, Dhaka, Bangladesh. Substantial genetic variation was observed among the traits of interest, and the first three principal components had eigenvalues greater than 1, accounting for 87.64% of the total variation. The cluster phylogeny classified the genotypes into five clusters, with genotypes between clusters I and V, followed by clusters I and II, showing the highest inter-cluster distance, indicating that genotypes in these clusters were more diverse than others. Comparatively, genotypes in cluster V showed short plant height, whereas clusters I and II showed the highest yield-contributing performance. Collectively, genotype CLTHW15008 from cluster I and genotypes CLTHW15004, CLTHW15005, CLTHW15006, CLTHW15011, CLTHW15001, and CLTHW15015 from cluster II could be selected as potential parents to develop vigorous maize hybrids.
Bangladesh J. Bot. 55(3): 539-545, 2026 (September)
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© Bangladesh Botanical Society
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