Ecology, Environment and Conservation Paper

CORRELATION AND PATH ANALYSIS FOR QUANTITATIVE TRAITS IN GREENGRAM

Aseem Amitabha Mohanty, Rajesh Kumar Kar, Banshidhar Pradhan, Tapash Kumar Mishra, Subhashree Das, Asit Prasad Dash, Biswajit Lenka, Hansaraj Pradhan, Dibyabharati Sahu, Chinmayee Behera, Alankrita Mishra and Gopalina Maity

Abstract

The present study was carried out during the summer, 2021 to study the association among the characters and to determine the direct and indirect effects of different yield attributes on seed yield among thirty greengram genotypes. The experiment was laid out in randomized block design (RBD) with three replications. The analysis of variance showed significant variation among the test genotypes for all the traits studied. Association among the characters was studied by correlation coefficients analysis, and path analysis was carried out to determine the direct and indirect effects of different yield attributes on seed yield among thirty greengram genotypes. The association study result indicated close correspondences between phenotypic and genotypic correlation coefficients (direction remaining the same), indicating an almost negligible masking effect of environment on character association and, thus, providing reliability of selection at the phenotypic level. The characters like plant height, number of clusters per plant, number of pods per plant, pod length, number of seeds per pod, and 100-seed weight exhibited a significant positive correlation with seed yield per plant both at phenotypic and genotypic levels, indicating their importance for genetic improvement of productivity in greengram. The path analysis revealed that the number of pods per plant, days to maturity, and 100-seed weight are the most prominent characters contributing directly to seed yield. Also, characters viz., plant height, number of clusters per plant, pod length, and number of seeds per pod were found to contribute indirectly through different component traits for seed yield. These characters could be considered important yield attributes for practicing selection in greengram.