Title: Genetic variability, correlation, diversity, path coefficients and principal component analysis in Indian mustard

Authors: Sumanta Prasad Chand; Sandip Debnath; Mehdi Rahimi; Shampa Purakayastha; Sanghamitra Rout

Addresses: Department of Genetics and Plant Breeding, Institute of Agriculture, Visva-Bharati University, Sriniketan, West Bengal, 731236, India ' Department of Genetics and Plant Breeding, Institute of Agriculture, Visva-Bharati University, Sriniketan, West Bengal, 731236, India ' Department of Biotechnology, Institute of Science and High Technology and Environmental Sciences, Graduate University of Advanced Technology, Kerman, 7631885356, Iran ' Department of Genetics and Plant Breeding and Seed Science and Technology, Centurion University of Technology and Management, Paralekhamumdi, Gajapati, Odisha, 761211, India ' Department of Genetics and Plant Breeding and Seed Science and Technology, Centurion University of Technology and Management, Paralekhamumdi, Gajapati, Odisha, 761211, India

Abstract: After soybean and palm, Brassica species are the third-most significant oilseed crops in the world. Globally, Indian mustard (Brassica juncea L.) is used as an oilseed, a vegetable, and a condiment. The 70 different genotypes of Indian mustard were grown at the farm of Visva-Bharati University's Institute of Agriculture using an RCBD with three replications in 2017-2018 and 2018-2019 to investigate genetic variability, cause and effect relationship and diversity. The findings demonstrated that environmental factors contribute to the development of characteristics because the PCV values were higher than the GCV values. The direct impact of seed yield per plant on oil production per plant was highly positive (0.551). Using Tocher's technique, the 70 genotypes were divided into eight groups. The mustard accessions' PCA revealed a varied pattern of grouping. The main genetic factors that caused genetic divergence were the oil yield per plant, seed yield per plant, number of siliqua on branches and number of siliqua per plant.

Keywords: Brassica juncea; cluster; variance; path; Tocher's method; Mahalanobis D² statistic; principal component analysis.

DOI: 10.1504/IJCBDD.2023.134613

International Journal of Computational Biology and Drug Design, 2023 Vol.15 No.6, pp.445 - 462

Received: 12 Dec 2022
Accepted: 06 Apr 2023
Published online: 31 Oct 2023 *

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