International Journal of Current Microbiology and Applied Sciences (IJCMAS)
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Original Research Articles                      Volume : 7, Issue:7, July, 2018

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

Int.J.Curr.Microbiol.App.Sci.2018.7(7): 177-187

Correlation and Path Coefficient Analysis in Rice (Oryza sativa L.) for Sodicity Tolerance
Hamsa Poorna Prakash1, O.P. Verma1, Amit Kumar Chaudhary1 and Mohammad Amir2
1Department of Genetics and Plant Breeding, Seed Technology Section
2Department of Genetics and Plant Breeding, Narendra Deva University of Agriculture and Technology, Narendra Nagar, Kumarganj, Faizabad -224-229 (Uttar Pradesh), India
*Corresponding author

The present investigation entitled “Correlation and Path coefficient analysis in Rice for sodicity tolerance” comprised of 7 lines and 3 testers recommended for sodic soil. Crosses were made in “line x tester mating design (Kempthorne, 1957). Thus 21 crosses (F1’s) were produced during 2015. The values of average degree of dominance greater than unity (>1) in addition to predictability ratio (<1) along with higher values of σ2 SCA than σ2 GCA revealed existence of over dominance for all the traits. Tester effect is higher than Line effect for all traits confirming predominant role of non-additive gene action in the inheritance of all the characters studied. Grain yield per plant showed highly significant and positive correlation with plant height, flag leaf area, panicle bearing tillers per plant, panicle length, grains per panicle, 1000 grain weight and biological yield per plant. Path analysis showed that, the high positive direct effects on grain yield per plant were exerted by biological yield per plant followed by harvest index. Hence, these traits should be emphasized during selection of rice genotypes under sodic soil.

Keywords: Rice, Correlation, Direct and indirect effect (path), Sodic

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How to cite this article:

Hamsa Poorna Prakash, O.P. Verma, Amit Kumar Chaudhary and Mohammad Amir. 2018. Correlation and Path Coefficient Analysis in Rice (Oryza sativa L.) for Sodicity Tolerance.Int.J.Curr.Microbiol.App.Sci. 7(7): 177-187. doi:
Copyright: This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike license.