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Research Article Open access CC BY 4.0

Multivariate Analysis of Genetic Divergence in Lentil (Lens culinaris Medik.) Based on D\(^2\) and Principal Component Analysis

Anjali Dubey, Stuti Sharma, Shikha Upadhyay, Ekansh Raghuwanshi, Yogendra Singh, Prashant Namdeo, Jhilick Banerjee

Journal of Advances in Biology & Biotechnology · pp. 551–560 · Published 14 Mar 2026

10.9734/jabb/2026/v29i33759

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.

Lentil genetic diversity Mahalanobis D2 principal component analysis cluster analysis

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