Vol. 7, Issue 11, Part A (2025)

The present study was conducted to explore genetic divergence among 30 greengram genotypes during the kharif 2024 season at the Research Farm, Faculty of Agriculture, Tantia University, Sriganganagar. These genotypes were sown in randomized block design with three replications. Data were recorded for eleven yield and yield contributing traits. Genetic divergence analysis using D² statistics grouped thirty greengram genotypes into eight distinct clusters, indicating considerable genetic diversity. Cluster II comprised the highest number of genotypes (10). The highest intra-cluster distance was observed in Cluster III, while the greatest inter-cluster distance occurred between Clusters IV and VI, suggesting these as ideal individuals for hybridization to exploit heterosis. Cluster IV exhibited superior mean performance for various traits, making it a valuable parent for breeding programs. These findings provide a useful framework for the selection of diverse and promising genotypes in greengram improvement programmes.