Multivariate Analysis of Genetic Diversity in Mung Bean [Vigna radiata (L.) Wilczek] Using Mahalanobis Statistic

Mung bean is a significant pulse crop in India, known for its high protein content, ranging from 25-28%. Understanding the genetic diversity within mung bean populations is essential for identifying genotypes that can enhance crop improvement and for the effective utilization of available genetic resources. This study aimed to evaluate the extent and patterns of morphological diversity among various mung bean genotypes and to determine the key traits contributing to genetic diversity using multivariate analysis. The present study was conducted at Norman E. Borlaug Crop Research Centre, G. B. Pant University of Agriculture and Technology, Pantnagar, Uttarakhand, India, during the kharif season of 2023. Using Mahalanobis D2 statistics, 40 mung bean genotypes were grouped into 9 distinct clusters. Cluster I was the largest, comprising 15 genotypes, followed by Cluster II with 11 genotypes. Clusters IV with 4 genotypes. Cluster V and Cluster VII each had 3 genotypes; and Clusters III, VI, VIII and IX each contained a single genotype. The greatest inter-cluster distance was observed between Cluster VII and Cluster VIII (17.12), indicating that genotypes (PM 15-12, PM 5, IPM 2-14) and (Vamban 2) can be hybridized together to produce significant genetic diversity in segregating generation among the genotypes included in these clusters. Therefore, the substantial genetic distance observed within and among the clusters should be leveraged by selecting and crossing the most genetically divergent parents in future mung bean breeding programmes.

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Publication Details

Journal
International Journal of Plant & Soil Science
Published
2024-08-23
DOI
https://doi.org/10.9734/ijpss/2024/v36i84945
Citations
1
Primary Topic
Agricultural pest management studies
Type
article
Field-Weighted Citation Impact
0.60
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article

Multivariate Analysis of Genetic Diversity in Mung Bean [Vigna radiata (L.) Wilczek] Using Mahalanobis Statistic

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1 citations
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article

Multivariate Analysis of Genetic Diversity in Mung Bean [Vigna radiata (L.) Wilczek] Using Mahalanobis Statistic

Kumari Pragati, Sanjay Kumar Verma, Shubham Kumawat, Anupriya Rana, Anju Arora, Ashish Bhatt, Ayushi Mehra, R.K. Panwar, Deepak Singh Chauhan
article en
1 citations

Abstract

Mung bean is a significant pulse crop in India, known for its high protein content, ranging from 25-28%. Understanding the genetic diversity within mung bean populations is essential for identifying genotypes that can enhance crop improvement and for the effective utilization of available genetic resources. This study aimed to evaluate the extent and patterns of morphological diversity among various mung bean genotypes and to determine the key traits contributing to genetic diversity using multivariate analysis. The present study was conducted at Norman E. Borlaug Crop Research Centre, G. B. Pant University of Agriculture and Technology, Pantnagar, Uttarakhand, India, during the kharif season of 2023. Using Mahalanobis D2 statistics, 40 mung bean genotypes were grouped into 9 distinct clusters. Cluster I was the largest, comprising 15 genotypes, followed by Cluster II with 11 genotypes. Clusters IV with 4 genotypes. Cluster V and Cluster VII each had 3 genotypes; and Clusters III, VI, VIII and IX each contained a single genotype. The greatest inter-cluster distance was observed between Cluster VII and Cluster VIII (17.12), indicating that genotypes (PM 15-12, PM 5, IPM 2-14) and (Vamban 2) can be hybridized together to produce significant genetic diversity in segregating generation among the genotypes included in these clusters. Therefore, the substantial genetic distance observed within and among the clusters should be leveraged by selecting and crossing the most genetically divergent parents in future mung bean breeding programmes.

International Journal of Plant & Soil ScienceVol. 36(8)
Govind Ballabh Pant University of Agriculture and Technology (IN)
Zero hunger
Openalex Percentile: Top 22%
Agricultural pest management studies
0.60
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