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Vol. 12, Issue 2 (2023)

Genetic variability analysis for grain yield and its attributing traits among the aromatic rice (Oryza sativa L.) genotypes of Chhattisgarh region

Author(s):
Khemlata Thakur, Abhinav Sao and Krishna Tandekar
Abstract:
The variability analysis showed the presence of highly significant variations for all the listed genotypes tested under the research experiment. Phenotypic coefficient of variation for all the traits under investigation was found higher than their corresponding genotypic coefficient of variation, indicating masking effect of environment in the expression of traits. High heritability was reported in plant height (cm), days to 50% flowering, 1000 seed weight (g), total number of spikelets per panicle, number of filled spikelets per panicle, grain yield per plant (g), effective tillers per plant, harvest index (%), and spikelet fertility%. High degree of the genetic advance as a percent of mean observed for the characters 1000 seed weight (g), total number of spikelets per panicle, number of filled spikelets per panicle, effective tillers per plant, grain yield per plant (g), biological yield per plant (g), Plant height (cm) and harvest index (%). High heritability coupled with the high genetic advance as a percent of mean was reported for the traits 1000 seed weight (g), total number of spikelets per panicle, number of filled spikelets per panicle, grain yield per plant (g), effective tillers per plant and plant height (cm) indicating that the expression of such characters controlled by the additive gene action and thus simple selection will be effective for the improvement of this character.
Pages: 264-269  |  250 Views  110 Downloads


The Pharma Innovation Journal
How to cite this article:
Khemlata Thakur, Abhinav Sao, Krishna Tandekar. Genetic variability analysis for grain yield and its attributing traits among the aromatic rice (Oryza sativa L.) genotypes of Chhattisgarh region. Pharma Innovation 2023;12(2):264-269. DOI: 10.22271/tpi.2023.v12.i2d.18430

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