Genetic diversity analysis using agro-morphological traits of Brassica juncea subspecies rugosa (Paharirai) from North-Eastern Himalayan region

DOI: 10.37992/2022.1303.106

  • Ankur Adhikari,
  • Himanshu Punetha and Usha Pant

Abstract

Twenty genotypes of Brassica juncea subspecies rugosa were grown in a randomized block design (RBD) for assessment of diversity using Mahalanobis D2 and Principal component statistics. Genetic diversity plays an important role in plant breeding because hybrids between parents of diverse origin generally displayed greater heterosis than those between closely related. Geographical diversity may not be the only factor responsible for causing diversification, thus focus should be laid on selecting the parents based on genetic diversity rather than geographical diversity. The Eigenvalue of the first principal component was accounted for 7.46 of variation.  The first six principal components axes explained 88.79 per cent of the variation, suggesting considerable diversity among the genotypes for all the characters on the basis of D2 analysis the genotypes were grouped into four clusters. Based on cluster analysis the results revealed maximum inter-cluster distance (41.68) between cluster II and IV followed by cluster I and IV, thereby paving the chance for them to be used in hybridization breeding programs. As per the biplot, the most stable genotypes are IC-399826, IC-338751, IC-338535, and IC-399839. The outcome of the study indicated that the genotypes having greater genetic diversity will be useful for developing segregants by utilizing in crossing programmes.

Keywords: Pahari rai, D2 Mahalanobis, Genetic diversity, Principal component analysis

Published
30-09-2022
How to Cite
Ankur Adhikari, Himanshu Punetha and Usha Pant

Genetic diversity analysis using agro-morphological traits of Brassica juncea subspecies rugosa Paharirai from North-Eastern Himalayan region

. 2022. Electronic Journal of Plant Breeding, 13 3, 790-799. Retrieved from https://www.ejplantbreeding.org/index.php/EJPB/article/view/4186
Issue
Vol 13 No 3 (2022): EJPB
Section
Research Article

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