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Vol. 12, Issue 2 (2023)

Assessment of genetic variability for grain yield and its components in fine rice (Oryza sativa L.)

Author(s):
SA Chendake, RL Kunkerkar, SS Desai, SS Chavan, RV Dhopavkar and KS Sarak
Abstract:
The current field experiment was carried out during the Kharif 2021 at the Education and Research Farm, Department of Agricultural Botany, College of Agriculture, Dapoli, Ratnagiri, with the goal of estimating the genetic variability for yield and yield-attributing character. Genotype differences were significant for each of the twenty-one traits being studied, according to the analysis of variance in the current experiment, which revealed that genotypes reported wide range of variation. A wide range of variation were observed in the characters like days to appearance of first flower, days to 50% flowering, plant height, number of filled spikelet per panicle, number of unfilled spikelet per panicle, total number spikelet per panicle. For the characteristics, tillers per plant, unfilled spikelet per panicle, straw yield per plant, iron, zinc, grain yield per plant and protein have higher phenotypic and genotypic coefficients of variation estimates were detected. This implies that the genotypes used in the study have a varied genetic background, and selection for these qualities may help the genetic improvement of crops. Number of tillers per plant, number of unfilled spikelet per panicle, straw yield per plant, grain breadth, test weight, l/b ratio, zinc, iron, protein, plant height, grain length, amylose, total number of spikelet per panicle, number of filled spikelet per panicle, spikelet fertility, grain yield per plant, panicle length, and days to 50% flowering all had high heritability estimates and high genetic advance estimates as a percentage of the mean. Based on the findings of the current study, it can be concluded that additive gene action predominates and that genotypes exhibit considerable genetic variability for all of the yield-related traits under consideration.
Pages: 802-806  |  263 Views  162 Downloads


The Pharma Innovation Journal
How to cite this article:
SA Chendake, RL Kunkerkar, SS Desai, SS Chavan, RV Dhopavkar, KS Sarak. Assessment of genetic variability for grain yield and its components in fine rice (Oryza sativa L.). Pharma Innovation 2023;12(2):802-806.

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