Vol. 10, Issue 10 (2021)

Author(s):
Akoju Saikrishna, Arunkumar B, Hasan Khan, Kuchanur PH and Ayyanagouda Patil

Abstract:
Thirty-eight genotypes of Indian mustard [Brassica juncea (L.) Czern & Coss.] were evaluated to estimate the genetic diversity with respect to seed yield and yield components traits during rabi season, 2019. Mahalanobis D² statistics grouped 38 genotypes into seven different clusters with uneven distribution of the genotypes with 22 genotypes grouped in cluster I. Cluster II, cluster IV, cluster V, cluster VI and cluster VII had the null value for intra-cluster distance because of single genotype. D² analysis revealed that test weight followed by days to 50% flowering and days to physiological maturity contributed maximum towards total diversity. Inter-cluster distance was found maximum between cluster V and cluster VII which signifies that genotypes are highly divergent. Similarly, intra-cluster distance was also found maximum in cluster I followed by cluster III. Principal component analysis revealed four major components possessed more than one eigen-value indicated that the components containing the observable traits are the major cause for the genetic diversity. The PC scores revealed that number of siliquae per plant contributed maximum to the variation for PC 1, days to 50% flowering for PC 2, Plant height for PC 3 and test weight for PC 4. The above results indicated that these genotypes have maximum genetic diversity and useful for developing many segregants through crossing programme by using maximum diverse genotypes.