Estimates of Genetic Variability, Correlation and Path Analysis in Indian Mustard [Brassica juncea (L.) Czern & Coss]

Bharat Chaudhary

Department of Genetics and Plant Breeding, Sam Higginbottom University of Agriculture, Technology and Sciences, Prayagraj, India.

G. Roopa Lavanya

Department of Genetics and Plant Breeding, Sam Higginbottom University of Agriculture, Technology and Sciences, Prayagraj, India.

Ajay Pal Yadav *

Department of Genetics and Plant Breeding, Sam Higginbottom University of Agriculture, Technology and Sciences, Prayagraj, India.

Deepak Kumar Prajapati

Department of Genetics and Plant Breeding, Sam Higginbottom University of Agriculture, Technology and Sciences, Prayagraj, India.

*Author to whom correspondence should be addressed.


Abstract

The Present investigation was undertaken to study the genetic variability, correlation and path analysis of twelve quantitative traits in Twenty Indian mustard (Brassica juncea L.) lines. The experiment material was evaluated in a randomized block design with three replications. The analysis of variance showed significant difference among genotype for all the characters. Results from the study indicated that heritability was high for all traits studied. Genotypic coefficient of variation (GCV) and phenotypic coefficient of variation (PCV) were low to medium for all the traits studied and genetic advance as percent of mean showed low to high values for most of the traits studied. Path coefficient at phenotypic and genotypic level revealed direct positive effect on seed yield per plant for about 50% of the traits studied. The significance for these results and their basis for selection of improved Indian mustard lines for further breeding in the program were discussed.

Keywords: Genetic advancement, genetic variability, heritability, correlation, path coefficient


How to Cite

Chaudhary , Bharat, G. Roopa Lavanya, Ajay Pal Yadav, and Deepak Kumar Prajapati. 2023. “Estimates of Genetic Variability, Correlation and Path Analysis in Indian Mustard [Brassica Juncea (L.) Czern & Coss]”. International Journal of Plant & Soil Science 35 (18):1081-89. https://doi.org/10.9734/ijpss/2023/v35i183373.