Aug 2026· Journal of Applied Life Sciences International· 0 citations
Abstract
The study assessed the magnitude of genetic variability and character association for seed yield and its contributing traits in urdbean (Vigna mungo (L.) Hepper) genotypes. Thirty-five genotypes of urdbean were evaluated in a Randomised Block Design with three replications, and observations were recorded for thirteen quantitative traits. Analysis of variance revealed highly significant differences among the genotypes for all the studied traits, confirming the presence of substantial variability among the evaluated genotypes. The genotypic coefficient of variation (GCV) was highest for seed yield per plant (33.62%), followed by harvest index (28.53%) and number of pods per plant (21.87%). Broad-sense heritability ranged from 55.20% for pod length to 89.72% for seed yield per plant. High heritability accompanied by high genetic advance as a percentage of the mean was observed for seed yield per plant, harvest index and number of pods per plant, indicating better prospects for selection. Seed yield per plant showed significant positive genotypic correlations with harvest index (0.949), number of clusters per plant (0.885), number of pods per plant (0.877), biological yield per plant (0.661), number of seeds per pod (0.590) and pod length (0.505). Harvest index had the highest direct effect on seed yield per plant, followed by biological yield per plant. These results indicate that traits with high genetic variability and strong associations with seed yield can be prioritised in selection to improve urdbean productivity.
Genetic variability and reliable heritability estimates are prerequisites for effective selection in plant breeding. This study assessed heritability and trait correlations for yield and yield-related characters in ten safflower (Carthamus tinctorius L.) genotypes. The experiment was carried out during the Rabi season...
Benazir Unar, Abdul Ghaffar Shar, Bisma Wassan et al.· Kashmir Journal of Academic...· 0 citations
The present investigation was undertaken to assess genetic variability among thirty rice (Oryza sativa L.) genotypes and to identify reliable indirect selection criteria for grain yield through correlation and path coefficient analysis. Thirty genotypes were evaluated in a randomised block design with three replication...
Anwesha Dey, G. M. Lal, Shashank Mishra· International Journal of Pla...· 0 citations
The study evaluated genetic parameters, character associations, and path coefficients in F₃ populations of mungbean [Vigna radiata (L.) Wilczek] grown during kharif 2022 at SKN College of Agriculture, Jobner. Four F₃ populations and their five parents were assessed in a randomised block design with three replications....
Ramji Lal Kumawat, Manohar Ram, Dalip et al.· Journal of Experimental Agri...· 0 citations
Effective genetic improvement of grass pea (Lathyrus sativus L.) depends on the amount of useful variation present in yield-associated characters and on their expected response to selection. The study quantified genetic variability, broad-sense heritability, and genetic advance for twelve quantitative characters in 21...
Gangishetti Ranjithkumar, S. Debnath· Journal of Advances in Biolo...· 0 citations
During the Rabi season of 2022-23, 18 broad bean (Vicia faba L.) genotypes obtained from ICAR-IIVR, Varanasi, were assessed for 18 agronomic and nutritional traits at Research Farm-1, Department of Horticulture, Babasaheb Bhimrao Ambedkar University, Lucknow. The trial followed a randomised block design with three repl...
Dilkush Meena, Deepa H. Dwivedi, Kaustubh Y. Deshmukh et al.· Journal of Experimental Agri...· 0 citations
The present investigation was conducted to assess genetic variability and genetic divergence among 40 sesame (Sesamum indicum L.) genotypes for yield and yield-related traits. The experiment was carried out at Agricultural College Farm, Naira, Srikakulam, Andhra Pradesh, during summer 2025–26 using a randomized block d...
V. Rajani, B. Spandana, L. Suryanarayana et al.· Journal of Advances in Biolo...· 0 citations
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