2025, Vol. 8, Issue 4, Part G

author(s)
Kajal Bhardwaj, Anuj Sohi and Aman Deep Ranga

abstract
An experiment was conducted during the Monsoon season of 2020 to determine the relationship between grain yield and yield contributing traits in okra (Abelmoschus esculentus L. Moench). Twenty different genotypes were collected from Krishi Vigyan Kendra (KVK). Three replications of the experiment were carried out in Jawali, District Kangra, Himachal Pradesh, using a randomised complete block design. A wide variation among the genotypes for yield and contributing traits was manifested upon mean analysis. This variation indicated a great extent of genetic diversity among all the genotypes and provided opportunities for genetic improvement in okra. Path coefficient analysis indicates the direct and indirect causal relationships between multiple variables within a hypothesised model the genotypic and phenotypic path coefficients analysis revealed that the number of fruits (0.888), (0.948), respectively, had the highest direct positive effect on total yield per plant. Based on Mahalanobis D square analysis, all the genotypes were grouped into seven clusters and cluster I was the biggest accommodating 7 genotypes. The genotypes from clusters III, IV and VII can be used in the hybridisation programme because of presence of high variability.