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NAAS Journal
International Journal of Biology Sciences

Vol. 7, Issue 1, Part C (2025)

Genetic studies for estimation of yield determinants in advance breeding lines of rice (Oryza sativa L.)

Author(s):

Vilash Bharti, Ravindra Kumar Verma, Abhinav Sao and Sweta Soni

Abstract:

The current study evaluated 53 (49+4) rice genotypes during Kharif, 2023 for seed yield and its component traits at Rice Research unit Farm, Department of Genetics and Plant Breeding, IGKV, Raipur. The experiment was conducted in Randomized Block Design with in two replications to calculate correlation and path analysis. Grain yield per plant demonstrated a significant positive correlation with several traits, including days to 50 flowering, effective tiller per plant, number of spikelets per panicle, number of filled spikelets per panicle, 1000 seed weight (g) and harvest index. This suggests that selecting genotypes based on these characteristics would be rewarding for improving grain yield, as they have complementary effects on yield outcomes. Days to 50 flowering, effective tiller per plant, number of filled spikelets per panicle and 1000 seed weight exhibit a direct positive effect on grain yield per plant. This indicates that selecting genotypes based on these traits will lead to an increase in grain yield per plant.

Pages: 156-160  |  62 Views  16 Downloads


International Journal of Biology Sciences
How to cite this article:
Vilash Bharti, Ravindra Kumar Verma, Abhinav Sao and Sweta Soni. Genetic studies for estimation of yield determinants in advance breeding lines of rice (Oryza sativa L.). Int. J. Biol. Sci. 2025;7(1):156-160. DOI: 10.33545/26649926.2025.v7.i1c.283
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