Multivariate Analysis of Genetic Divergence in Lentil (Lens culinaris Medik.) Based on D\(^2\) and Principal Component Analysis
Anjali Dubey *
Genetics and Plant Breeding, College of Agriculture, JNKVV, Jabalpur, M.P., India.
Stuti Sharma
Genetics and Plant Breeding, College of Agriculture, JNKVV, Jabalpur, M.P., India.
Shikha Upadhyay
Genetics and Plant Breeding, College of Agriculture, JNKVV, Jabalpur, M.P., India.
Ekansh Raghuwanshi
Genetics and Plant Breeding, College of Agriculture, JNKVV, Jabalpur, M.P., India.
Yogendra Singh
Genetics and Plant Breeding, College of Agriculture, JNKVV, Jabalpur, M.P., India.
Prashant Namdeo
Seed Technology Center, JNKVV, Jabalpur, M.P., India.
Jhilick Banerjee
Genetics and Plant Breeding, College of Agriculture, JNKVV, Jabalpur, M.P., India.
*Author to whom correspondence should be addressed.
Abstract
Evaluating genetic diversity is essential for successful crop improvement and the efficient use of genetic resources. The present investigation was carried out on a set of forty-two lentil (Lens culinaris Medik.) genotypes (including 2 checks, IPL-316 and JL-3) to evaluate genetic divergence using multivariate approaches, namely Mahalanobis D² statistics and Principal Component Analysis (PCA) during rabi 2024-25 at seed breeding farm, JNKVV, Jabalpur. Forty-two lentil genotypes were grouped into seven clusters. Biological yield per plant shows maximum contribution towards genetic diversity while days to flower initiation shows minimum. Maximum intra cluster distance was shown by Cluster IV (D2 = 349.87) while Cluster III and VII (3614.10) showed highest inter cluster value. Maximum genotypes were under cluster II (20 genotypes). Cluster VI and VII observed high cluster mean values for most of the yield attributing traits. Only five of the thirteen Principal components (PCs) had an Eigen value greater than one, explained 72.148% of total variability among lentil genotypes. Genotypes MPL 94, PL 4, IC 315944, LH 82-6, PL 32, IC 283384, SUBRITA and MPL 4 were found diverse based on D2 statistics and principal component analysis.
Keywords: Lentil, genetic diversity, Mahalanobis D2, principal component analysis, cluster analysis