Genetic diversity and cluster analysis of dolichos bean (Lablab purpureus L.) in the Bundelkhand region using multivariate statistical techniques

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Published

2025-06-30

DOI:

https://doi.org/10.58993/ijh/2025.82.2.4

Keywords:

Genotypes, heatmap, ward’s clustering, PCA, tocher clustering, crop improvement
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Issue

Vol. 82 No. 02 (2025): Indian Journal of Horticulture

Section

Research Articles

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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

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This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Authors

  • Arjun singh Department of Vegetable Science, Rani Lakshmi Bai Central Agricultural University, Jhansi 284003, Uttar Pradesh, India https://orcid.org/0009-0001-8852-5180
  • Ajai Kumar Panday Department of Vegetable Science, Rani Lakshmi Bai Central Agricultural University, Jhansi 284003, Uttar Pradesh, India
  • Maneesh Panday Department of Vegetable Science, Rani Lakshmi Bai Central Agricultural University, Jhansi 284003, Uttar Pradesh, India
  • Gourav Sharma Department of Floriculture and Landscaping, Rani Lakshmi Bai Central Agricultural University, Jhansi, Uttar Pradesh, India, 284003
  • Rutuja Nale Department of Fruit Science, Rani Lakshmi Bai Central Agricultural University, Jhansi, Uttar Pradesh, India, 284003
  • Sajeel Ahamad Division of Food Science & Postharvest Technology, ICAR- Indian Agriculture Research Institute, Pusa, New Delhi, India,110012
  • Devesh Kumar Division of Food Science & Postharvest Technology, ICAR- Indian Agriculture Research Institute, Pusa, New Delhi, India,110012
  • Awani Kumar Singh Centre for Protected Cultivation Technology, ICAR-Indian Agricultural Research Institute, New Delhi, India, 110 012

Abstract

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.

How to Cite

singh, A., Ajai Kumar Panday, Maneesh Panday, Gourav Sharma, Rutuja Nale, Sajeel Ahamad, … Awani Kumar Singh. (2025). Genetic diversity and cluster analysis of dolichos bean (Lablab purpureus L.) in the Bundelkhand region using multivariate statistical techniques. Indian Journal of Horticulture, 82(02), 147–154. https://doi.org/10.58993/ijh/2025.82.2.4

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