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

International Journal of Chemical Studies · 2020 · Vol. 8(4) · pp. 1369–1372
Anuj KumaJaneshwar PrasadShiv KumarSarvendra SinghA.S. JeenaMC 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.

GABA and Rice ResearchRice Cultivation and Yield ImprovementGenetics and Plant BreedingHeritabilityPanicleOryza sativaBiologyGrain yieldAgronomyYield (engineering)Test weightGrain qualityHorticulture
Citations
0
FWCI
0.00
field-weighted impact
References
9
Percentile
5%
vs. same field & year
References
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Soil Science Society of America Journal · 1956 · 710 citations
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Biometrics · 1982 · 21,753 citations
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Estimation of genetic parameter for yield components and quality traits in Rice (Oryza sativa L.) · Scinovex