International Journal of Chemical Studies
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P-ISSN: 2349-8528, E-ISSN: 2321-4902   |   Impact Factor: GIF: 0.565

Vol. 8, Issue 4 (2020)

Estimation of genetic parameter for yield components and quality traits in Rice (Oryza sativa L.)


Author(s): Anuj Kuma, Janeshwar Prasad, Shiv Kumar, Sarvendra Singh, AS Jeena and MC Upreti

Abstract: The experiment was conducted to assess genetic variability, heritability and genetic advance for yield components and quality parameters among thirty aromatic rice genotypes. High PCV and GCV for Grain weight per plant, days to 50% flowering, tillers per plant, number of grains per panicle, grain weight per panicle, breadth increase ratio after cooking, kernel breadth after cooking, L:B ratio and water absorb by 10 g kernel suggested ample scope of selection for these traits. In this study, preponderance of additive genetic control was revealed as high heritability and high genetic advance were observed for grain yield along with 18 yield components and qualitycharacters. SKG 2017-51 was exhibited high mean values for quality characters along with dwarfness, high 100 grain weight and 100 kernel weight, suggesting its use in future breeding programme as a donor. SKG 2017-84, SKG 2017-78, SKG 2017-81 and SKG 2017-85 were also identified as donor for high grain weight per plant, high hulling (%), minimum kernel breadth before cooking (fine grain) and high tillers per plant, respectively.

DOI: 10.22271/chemi.2020.v8.i4l.9792

Pages: 1369-1372  |  495 Views  79 Downloads

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How to cite this article:
Anuj Kuma, Janeshwar Prasad, Shiv Kumar, Sarvendra Singh, AS Jeena, MC Upreti. Estimation of genetic parameter for yield components and quality traits in Rice (Oryza sativa L.). Int J Chem Stud 2020;8(4):1369-1372. DOI: 10.22271/chemi.2020.v8.i4l.9792
 

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