Multivariate Analysis of Genetic Diversity in Mung Bean [Vigna radiata (L.) Wilczek] Using Mahalanobis Statistic
Deepak Singh Chauhan
Department of Genetics and Plant Breeding, G. B. Pant University of Agriculture and Technology, Pantnagar - 263145, India.
Sanjay Kumar Verma
*
Department of Genetics and Plant Breeding, G. B. Pant University of Agriculture and Technology, Pantnagar - 263145, India.
Ravindra Kumar Panwar
Department of Genetics and Plant Breeding, G. B. Pant University of Agriculture and Technology, Pantnagar - 263145, India.
Anju Arora
Department of Genetics and Plant Breeding, G. B. Pant University of Agriculture and Technology, Pantnagar - 263145, India.
Kumari Pragati
Department of Genetics and Plant Breeding, G. B. Pant University of Agriculture and Technology, Pantnagar - 263145, India.
Ashish Bhatt
Department of Genetics and Plant Breeding, G. B. Pant University of Agriculture and Technology, Pantnagar - 263145, India.
Shubham Kumawat
Department of Genetics and Plant Breeding, G. B. Pant University of Agriculture and Technology, Pantnagar - 263145, India.
Anupriya Rana
Department of Genetics and Plant Breeding, G. B. Pant University of Agriculture and Technology, Pantnagar - 263145, India.
Ayushi Mehra
Department of Genetics and Plant Breeding, G. B. Pant University of Agriculture and Technology, Pantnagar - 263145, India.
*Author to whom correspondence should be addressed.
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.
Keywords: Cluster, genetic diversity, mahalanobis D2 statistics, multivariate