Toll Free Helpline (India): 1800 1234 070

Rest of World: +91-9810852116

Free Publication Certificate

Vol. 12, Issue 8 (2023)

Genetic variability, correlation and path coefficient analysis in tomato (Solanum lycopersicum L.)

Author(s):
Divya Kadyan, Prashant Srivastav, Jitendra Kumar and Harendra Singh
Abstract:
The present investigation was conducted at Experimental Field, Doon PG College of Agriculture and Allied Sciences, Dehradun. Seven genotypes of tomato were evaluated to study variation, correlation and path coefficient analysis and yield traits, during winter season 2022-2023. The experiment was carried out in Randomized Block Design with three replications. Analysis of variance (ANOVA) revealed highly significant difference among genotypes for all characters indicating high degree of variability. The estimates of phenotypic variation (PCV) were higher than the genotypic variation (GCV) for all traits. High PCV and GCV recorded for number of fruit per plant followed by fruit yield per plant and number of fruit per cluster. Correlation indicated Fruit yield per plant had highly significant and positive correlation with average fruit weight followed by number of cluster per plant, number of primary branches per plant. Path analysis revealed direct positive effect exerted by number of fruits per plant, average fruit weight, number of primary branches per plant, number of clusters per plant and plant height; and negative direct effect exerted by diameter of fruit per plant and number of fruits per cluster.
Pages: 2325-2329  |  509 Views  326 Downloads


The Pharma Innovation Journal
How to cite this article:
Divya Kadyan, Prashant Srivastav, Jitendra Kumar, Harendra Singh. Genetic variability, correlation and path coefficient analysis in tomato (Solanum lycopersicum L.). Pharma Innovation 2023;12(8):2325-2329.

Call for book chapter