Pages: 344-348DOI: 10.56228/JART.2022.47315

Date of Publication: 31-Dec-2022

Evaluation of Genetic Variation in Indian mustard (Brassica Juncea L Czern and Coss) Using Multivariate Techniques

Author: Poonam Godara, Shrawan Kumar and Darvinder Kumar

Category: Agricultural Engineering

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Abstract:

A set of 310 lines of Indian mustard (Brassica juncea L Czern and Coss) were analysed for cluster and principal component analysis (PCA). PCA identified four principal components which explained 65.13% of total variability among the 310 genotypes. Hierarchical cluster analysis grouped 310 genotypes into 3 clusters. Cluster1 included maximum number of 155 genotypes and clusters 3 had the lowest number of 43 genotypes. The grouping pattern of genotypes obtained by cluster analysis and PCA plots was almost similar.

Keywords: Indian mustard genotypes, cluster analysis, principal component analysis.