Multivariate analysis and role of direct–indirect effect for yield and its component traits in bread wheat (Triticum aestivum L.)

  • Vikrant Khare

Abstract

The present study was carried out in a randomized block design with twenty-three diverse wheat (Triticum aestivum L.) genotypes. The experiment was conducted at Lok Bharti Wheat Research Centre, Bhavnagar Gujarat. Diversity analysis was done through D2 and principal component analysis and the role of direct-indirect effect for yield and its component traits were estimated. Grain yield is influenced by the heading days, the number of tillers per meter, the number of grains per spike, thousand kernel weight and harvest index thus, selection of these traits would be effective. The highest inter-cluster distance was observed between clusters XI and X thus, genotypes that fall into these clusters showed wide genetic diversity and could be utilized in hybridization. The first three principal components accounted for 82.0 % of the total variability. The information obtained from this study is useful for parent selection in future wheat hybridization.

Keywords:  Wheat, Diversity, Path coefficient and Principal component

Published
01-07-2022
How to Cite
Khare, V. (2022). Multivariate analysis and role of direct–indirect effect for yield and its component traits in bread wheat (Triticum aestivum L.). Electronic Journal of Plant Breeding, 13(2), 447-454. Retrieved from https://ejplantbreeding.org/index.php/EJPB/article/view/4181
Section
Research Article