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International Journal of Current Microbiology and Applied Sciences (IJCMAS)
IJCMAS is now DOI (CrossRef) registered Research Journal. The DOIs are assigned to all published IJCMAS Articles.
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National Academy of Agricultural Sciences (NAAS)
NAAS Score: *5.38 (2020)
[Effective from January 1, 2020]
For more details click here

ICV 2018: 95.39
Index Copernicus ICI Journals Master List 2018 - IJCMAS--ICV 2018: 95.39
For more details click here

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Original Research Articles

PRINT ISSN : 2319-7692
Online ISSN : 2319-7706
Issues : 12 per year
Publisher : Excellent Publishers
Email : editorijcmas@gmail.com / submit@ijcmas.com
Editor-in-chief: Dr.M.Prakash
Index Copernicus ICV 2018: 95.39
NAAS RATING 2020: 5.38

Int.J.Curr.Microbiol.App.Sci.2020.9(7): 3845-3851
DOI: https://doi.org/10.20546/ijcmas.2020.907.450


Assessment of Correlation and Path Coefficient Analysis for Yield and it’s Attributing Traits in Rice (Oryza sativa L.) Genotypes
Deepak Meena1, Manoj Kumar1*, Sandhya1, N. R. Koli1, Yamini Tak2 and Ashok Kumar Meena1
1Department of Genetics and Plant Breeding,
2Department of Biochemistry, Agriculture University Kota, India
*Corresponding author
Abstract:

Present investigation was carried out to examine the association and path analysis for grain yield and its attributing traits in 25 rice genotypes. The result of character association revealed that number of productive tillers per plant (rp 0.881 & rp 0.993) exhibited highly significant and positive correlation with grain yield per plant followed by 1000-grains weight (rp 0.607 & rg 0.645), panicle length (rp 0.369 & rg 0.459), plant height (rp 0.284 & rg 0.409), days to maturity (rp 0.293 & rg 0.325) and days to 50 per cent flowering (rp 0.294 & rg 0.308) at phenotypic as well as genotypic level respectively proving that grain yield could be enhanced by selecting genotypes containing higher values for these attributes. The path analysis result showed that the maximum direct positive effect on the grain yield per plant was exerted by number of productive tillers per plant followed by 1000-grain weight, panicle length, plant height, days to maturity and days to 50 percent flowering. These characters also exhibited prominent role as indirect effects of most component traits on grain yield per plant hence these traits should be considered as an essential selection criteria toward optimizing crop yield.


Keywords: Correlation and Path Coefficient Analysis, Rice (Oryza sativa L.)
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How to cite this article:

Deepak Meena, Manoj Kumar, Sandhya, N. R. Koli, Yamini Tak and Ashok Kumar Meena. 2020. Assessment of Correlation and Path Coefficient Analysis for Yield and it’s Attributing Traits in Rice (Oryza sativa L.) Genotypes.Int.J.Curr.Microbiol.App.Sci. 9(7): 3845-3851. doi: https://doi.org/10.20546/ijcmas.2020.907.450