A field experiment was conducted at Research Farm of Kisan (P.G.) College, Simbhaoli, Hapur (UP), India during Rabi 2022-23 with 20 diverse genotypes of bread wheat to estimate the genetic variability, correlation, path coefficient and genetic divergence analysis for yield and yield related traits. The analysis of variance showed highly significant differences among the genotypes for all the characters. The highest estimates of the phenotypic coefficient of variation (PCV) and genotypic coefficient of variation (GCV) were observed grain yield/plant, tillers/plant, harvest index and grains/spike. Grain yield/plant, tillers/plant and harvest index showed high heritability coupled with high genetic advance as percent of mean indicating the influence of additive gene effects. Grain yield/plant exhibited highly significant and positive correlation with spikelets/spike followed by harvest index, grains/spike, spike length, tillers/plant, and days to maturity and biological yield/plant. Harvest index exhibited maximum direct effect on grain yield/plant followed by biological yield/plant and grains/spike. Grains/spike followed by days to maturity, spike length, spikelets/spike and tillers/plant showed maximum positive indirect effect on grain yield/plant via, biological yield/plant. Based on D2 values, all the 20 genotypes were grouped in 5 clusters. Cluster I possessing maximum (7) genotypes followed by cluster II, V, IV and III. The maximum intra-cluster distance was found for cluster IV and minimum for cluster III. The highest inter-cluster distance was observed between cluster III and IV whereas lowest inter-cluster distance was observed between cluster II and V. Hence, the genotypes belonging to cluster pairs having large inter-cluster distances can be utilized in crop improvement programmes and for the development of high yielding varieties.
