Genetic Variability, Correlation and Path Analysis of Different Hill-Rice (Oryza Sativa) Genotypes

Genetic Variability, Correlation and Path Analysis of Different Hill-Rice (Oryza Sativa) Genotypes

Namrata Acharya

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Subarna Sharma Acharya

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Ankur Poudel

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Narayan Neupane

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Genetic Variability, Correlation and Path Analysis of Different Hill-Rice (Oryza Sativa) Genotypes

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Abstract

Rice (Oryza sativa), a staple food crop is central to the lives of people around the world. Present production of rice will not suffice rapidly increasing population as the area for production is decreasing. This necessitate to increase the productivity of rice through crop improvement. In order to identify suitable traits that contribute for crop improvement through the estimation of genetic variability, correlation and path coefficient analysis an experiment on eleven rice genotypes was conducted in randomized complete block design (RCBD) with three replications under irrigated condition at Institute of Agriculture and Animal science, Lamjung. Analysis of Variance revealed that genotypes under study differed significantly for all the traits under study which implies that genotypes constitute a pool of germplasm with adequate variability. The phenotypic coefficient of variation (PCV) values were higher than genotypic coefficient of variation (GCV), revealing lower influence of environment in character expression. High heritability coupled with high genetic advance and moderate GCV were observed for leaf area, number of effective tillers per m 2 and days to 50% flowering.

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

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Not applicable for this article.

How to Cite This Article

Namrata Acharya. 2019. \u201cGenetic Variability, Correlation and Path Analysis of Different Hill-Rice (Oryza Sativa) Genotypes\u201d. Global Journal of Science Frontier Research - D: Agriculture & Veterinary GJSFR-D Volume 19 (GJSFR Volume 19 Issue D4).

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GJSFR Volume 19 Issue D4

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Journal Specifications

Crossref Journal DOI 10.17406/GJSFR

Print ISSN 0975-5896

e-ISSN 2249-4626

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GJSFR-D Classification FOR Code: 060499

Submission ReceivedSeptember 30, 2019
Peer Review Double Blind
Handling Editor
Accepted October 24, 2019
Published November 5, 2019

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v1.2

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November 12, 2019

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