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International Journal of Current Microbiology and Applied Sciences (IJCMAS)
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Original Research Articles                      Volume : 6, Issue:9, September, 2017

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.2017.6(9): 1757-1763
DOI: https://doi.org/10.20546/ijcmas.2017.609.217


Studies on Correlation and Path Coefficient Analysis in Rice (Oryza Sativa L.)
C.A. Sowmiya* and M. Venkatesan
Department of Genetics & Plant Breeding, Faculty of Agriculture, Annamalai University, Annamalai Nagar – 608 002, Tamil Nadu, India
*Corresponding author
Abstract:

The experiment was carried out to explore correlation and path coefficient analysis in 48 rice genotypes for nine characters viz., days to first flower, plant height, number of tillers per plant, number of panicles per plant, number of grains per panicle, panicle length, thousand grain weight, grain L/B ratio and grain yield per plant. The genotypic correlation coefficients showed higher magnitude than phenotypic correlation coefficients which indicated masking or modifying effect of environment. The genetic correlation revealed that grain yield per plant had strong negative and significant association with days to first flower at both genotypic and phenotypic levels. So it could be inferred that grain yield and days to first flower could be used as selection criteria for the improvement of grain yield per plant. Scrutiny in path analysis indicated that maximum direct effect on grain yield was exhibited by number of panicles per plant. Hence the trait should be taken in account of breeding programme to develop the maximum of threshold yield obtaining new rice varieties or hybrids.


Keywords: Genotypic correlation coefficient, Phenotypic correlation coefficient and path analysis.

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How to cite this article:

Sowmiya, C.A. and Venkatesan, M. 2017. Studies on Correlation and Path Coefficient Analysis in Rice (Oryza Sativa L.).Int.J.Curr.Microbiol.App.Sci. 6(9): 1757-1763. doi: https://doi.org/10.20546/ijcmas.2017.609.217
Copyright: This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike license.

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