Assessment of Genetic Divergence in Soybean (Glycine max [L.] Merrill) Using Mahalanobis D² Statistics and Principal Component Analysis

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Significant genetic divergence was observed among 92 soybean genotypes, indicating varied yield potential.
Mahalanobis D² analysis revealed eight distinct clusters, with biological yield and plant height as major contributors.
Principal Component Analysis accounted for 72.18% of total variation, facilitating trait prioritization for breeding.
Clusters identified as potential sources for hybridization may enhance soybean productivity in varied environments.

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This analysis identifies key traits affecting phenotypic variability in soybean, suggesting improvements for yield and biomass.

Jhariya et al. (2025) studied this question.

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