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Vol. 6, Issue 11 (2017)

Genetic variability, correlation and path analyses for selection in elite breeding materials of rice (Oryza sativa L.) genotypes in Madhya Pradesh

Author(s):
L Gour, GK Koutu, SK Singh, DD Patel, A Shrivastava and Y Singh
Abstract:

The present investigation was conducted to estimate genetic parameters such as genotypic coefficient of variation (GCV), phenotypic coefficient of variation (PCV), heritability and genetic advance (GA) along with correlations and path coefficients from data collected on 83 rice genotypes. Analysis of variance indicated significant differences among the genotypes for different morphological characters. High GCV and PCV were observed for grain yield per plant, Panicle weight/plant, Biological yield/plant, Filled spikletes/plant, 1000 seed weight, Harvest index, Number of tillers/plant, where as moderate GCV and PCV was observed for Plant height. High heritability coupled with high genetic advance as percent of mean were observed for grain yield per plant, panicle weight/plant, biological yield/plant, filled spikletes/plant, harvest index, 1000 seed weight, number of tillers/plant, panicle length/plant, where as high heritability coupled with moderate genetic advance as percent of mean for days to 50% flowering and days to maturity. The filled spikletes/plant, harvest index, biological yield per plant showed high genetic advance that helped in effective and reliable selection through these characters for crop improvement. Grain yield per plant showed positive association with panicle weight/plant, biological yield/plant, number of tillers/plant and Harvest index, while, negative association with plant height. The biological yield per plant had maximum direct effect on grain yield/plant followed by panicle length/plant, harvest index, filled spikletes/plant, panicle length/plant and days to maturity. Hence, biological yield per plant, harvest index and number of seeds per plant are identified as key traits for developing high yielding genotypes of rice for future breeding programme.
Pages: 693-696  |  912 Views  111 Downloads


The Pharma Innovation Journal
How to cite this article:
L Gour, GK Koutu, SK Singh, DD Patel, A Shrivastava, Y Singh. Genetic variability, correlation and path analyses for selection in elite breeding materials of rice (Oryza sativa L.) genotypes in Madhya Pradesh. Pharma Innovation 2017;6(11):693-696.

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