Genetic diversity and cluster analysis of dolichos bean (Lablab purpureus L.) in the Bundelkhand region using multivariate statistical techniques
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https://doi.org/10.58993/ijh/2025.82.2.4Keywords:
Genotypes, heatmap, ward’s clustering, PCA, tocher clustering, crop improvementIssue
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Copyright (c) 2025 Arjun singh, Ajai Kumar Panday, Maneesh Panday, Gourav Sharma, Siddesh S, Sajeel Ahamad, Devesh Kumar, Rutuja Nale, Awani Kumar Singh

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Dolichos bean is a nutritionally and agronomically important legume with significant genetic variability. This study assessed the genetic diversity among 21 genotypes from the Bundelkhand region using Principal Component Analysis (PCA) and hierarchical clustering under a Randomized Block Design (RBD). PCA revealed that the first three principal components accounted for 67.85% of the total variance, with PC1 contributing 32.41%, PC2 21.73%, and PC3 13.71%. Hierarchical clustering grouped genotypes into five distinct clusters, with the highest inter-cluster distance (5698.57) observed between cluster 4 and cluster 5, indicating high genetic divergence. Cluster 5 exhibited superior pod yield traits, while cluster 3 recorded the highest dry matter content (42.47%) and seed weight (26.73 g), making them valuable for breeding programs. These findings highlight the genetic diversity in dolichos bean and provide valuable insights for breeding high-yielding and stress-tolerant cultivars. The study supports sustainable genetic improvement programs in India, particularly in the Bundelkhand region.Abstract
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