Vol. 9, Issue 1, Part K (2025)

Present study was conducted to study the genetic variability, correlation and path analysis for seed yield and its attributing traits among 56 genotypes (10 parent + 45 crosses +1 check entry Radha) during rabi 2021-2022 at the Research Farm of BRD P. G. College, Deoria. The experiment was carried out using a randomized block design (RBD) with three replications. The analysis of variance (ANOVA) showed significant differences for nearly all the traits being investigated, suggesting that there is a substantial amount of variation among the different genotypes for traits such as DFF, DFP, and DTM, PHT (cm), PBP, SI, and SYP (g). The highest GCV along with a high genetic advance was observed for the trait, SHC per seed, followed by HI (%), while SHI and PP demonstrate the important role of genetics in the expression of these traits. Meanwhile, the traits SHC and SHI showed high PCV values, indicating that the environment also plays a crucial role in character expression. The highest heritability was noted for the traits SBP, followed by SYP (g), and SI (g). Furthermore, almost all traits displayed high heritability values, suggesting that selection for these traits would be beneficial for genetic enhancement through crossing. Genotypic correlation analysis revealed significant positive correlations between Days to 50% Flowering and other traits including Primary Branches per Plant, Seed Index, and Seed Hydration Index. Significant relationships were also identified between Days to 50% Podding and Seed Germination, Seed Hydration Index, and Days to Maturity. Path coefficient analysis further underscored the direct and indirect effects of various traits on seed yield, providing valuable insights for chickpea breeding programs aimed at improving productivity through indirect selection of highly heritable traits. These results offer critical information for effective selection strategies and boosting yield potential in chickpea breeding.