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International Journal of Current Microbiology and Applied Sciences (IJCMAS)
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Original Research Articles                      Volume : 7, Issue:11, November, 2018

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.2018.7(11): 3566-3572
DOI: https://doi.org/10.20546/ijcmas.2018.711.409


Character Association and Path Co-Efficient Analysis Studies for Yield and its Contributing Traits in Groundnut (Arachis hypogaea L.)
R.S. Ganvit* and P. K. Jagtap
Department of Genetics and Plant Breeding and Niger Research Station, Vanarasi, Navsari Agricultural University, Navsari, Gujarat, India
*Corresponding author
Abstract:

Correlation studies revealed that the genotypic correlations were higher than their corresponding phenotypic correlation for all the characters and the depended trait pod yield per plant was significantly and positively correlated at both phenotypic and genotypic levels with number of mature pods per plant, kernel yield per plant, shelling percent and days to 50% flowering.Path coefficient analysis revealed that kernel yield per plant, number of mature pods per plant exhibited high and positive direct effects on pod yield per plant. Whereas, 100 kernel weight, plant height, days to 50 % flowering exhibited low and positive direct effects towards pod yield.These findings suggested that emphasis should be given on these traits for selecting elite genotypes and further breeding programme.


Keywords: Correlation coefficient, Association, Direct and Indirect effects, cleistogamous, Groundnut

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How to cite this article:

Ganvit R. S. and Jagtap P. K. 2018. Character Association and Path Co-Efficient Analysis Studies for Yield and Its Contributing Traits in Groundnut (Arachis hypogaea L.).Int.J.Curr.Microbiol.App.Sci. 7(11): 3566-3572. doi: https://doi.org/10.20546/ijcmas.2018.711.409
Copyright: This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike license.

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