Genetic Variability, Heritability and Genetic Advance for Yield and It’s Components Traits in Maintainer Lines of Rice (Oryza sativa L.)
R. Hyndhavi, S. Madhusudhan Reddy, L. Krishna, SNCVL Pushpavalli
Journal of Experimental Agriculture International · pp. 6–16 · Published 5 Aug 2025
10.9734/jeai/2025/v47i83643Abstract
Aim: To study the variability, heritability and genetic advance for yield and its components traits for selecting better yield attributes for improvement of maintainer lines. Study Design: Randomized block design. Place and Duration of Study: Institute of Rice Research, ARI, Rajendranagar, Hyderabad, Telangana, during the kharif season in 2024. Methodology: The study involved 28 maintainer lines and two checks. Sown in nursery and transplanted with spacing of 30 cm x15 cm after 25 days. Observations were recorded on agro- morphological characters. Statistical analysis was conducted using INDOSTAT software for the analysis of variance for variability, heritability and genetic advance. Results: Analysis of variance reveled that there was a significant variation (p < 0.01) among genotypes for all traits. Number of grains per panicle (35.23%, 33.21%), 1000- grain weight (24.60%, 24.17%), grain yield per plant (27.41%, 26.44%) had shown highest PCV% and GCV % than the other traits under study. The results of heritability ranged from 32% in panicle length to 97% in days to 50% flowering. Higher heritability (> 80 %) was shown by all traits except panicle length. High heritability coupled with high genetic advance as percent mean (> 20 %) was shown by number of productive tillers, number of grains per panicle, 1000 grain weight, grain yield, stigma length, kernel length, kernel breadth, kernel L/B ratio than the other traits under study which is useful in the selection process. Conclusion: The traits such as number of productive tillers, number of grains per panicle, 1000 grain weight, grain yield, stigma length, kernel length, kernel breadth, kernel L/B ratio showed high heritability (> 80 %) with high genetic advance (> 20%) indicating that selection for these traits are effective for selection of better maintainer lines.
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