Evaluation of Genetic Variability for Yield and Associated Traits in Breeding Lines Derived from the Cross RNR-15048 × Tunga

Abstract

Aims: To evaluate the genetic variability of 45 rice breeding lines for 12 quantitative and 2 qualitative traits, aiming to identify and enhance traits that contribute to improved crop yield and nutritional quality in rice. Study Design:  The experiment was carried out in Randomised Complete Block Design with two replications. Place and Duration of Study: During kharif 2023 at Agricultural and Horticultural Research Station, Kathalagere, Davangere. Methodology: The research utilized 45 breeding lines resulting from the cross RNR15048 × Tunga, sourced from the Department of Genetics and Plant Breeding, College of Agriculture Shimoga, along with 5 checks. Data was recorded and analyzed statistically using R software. Results: The significant differences among the breeding lines identified through the analysis of variance highlight the potential for selecting superior genotypes within the studied rice breeding lines. High to moderate values of the genotypic coefficient of variation (GCV) and phenotypic coefficient of variation (PCV) suggest that there is substantial genetic diversity for the traits evaluated, indicating a promising opportunity for genetic improvement through selective breeding. Conclusion: The findings of this study highlight the importance of focusing yield improvement programs on specific traits, including plant height, number of tillers per plant, productive tillers per plant, grains per panicle, filled grains per panicle, test weight, protein content, and overall grain yield. Emphasizing these traits is essential for enhancing the productivity and nutritional value of rice, ultimately supporting food security efforts.