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International Journal of Current Microbiology and Applied Sciences (IJCMAS)
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Original Research Articles                      Volume : 8, Issue:8, August, 2019

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.2019.8(8): 1011-1018
DOI: https://doi.org/10.20546/ijcmas.2019.808.117


Character Association and Path Analysis Studies in Vegetable Soybean (Glycine max L.)
N. Shilpashree1*, S. Nirmala Devi2, P. Anitha2 and P. Indira2
1College of Horticulture, Vellanikkara, KAU, Thrissur, India
2Department of Vegetable Science, Kerala Agricultural University, Thrissur-650562, India
*Corresponding author
Abstract:

The investigations on Character association and path analysis studies in vegetable soybean (Glycine max L.) revealed that green pod yield per plant was significantly and positively correlated with number of pods per plant, number of harvests, vitamin C content and calcium content at genotypic and phenotypic correlation levels. Hence direct selection for these traits will lead to the selection of high yielding genotypes of vegetable soybean. Path analysis of data revealed that number of pods per plant showed highest direct positive effect on green pod yield per plant followed by pod weight, days to first harvest and pod length. Plant height, days to vegetable maturity and pod width had direct negative effect on green pod yield per plant at genotypic and phenotypic levels.


Keywords: Vegetable soybean, Genotypic correlation, Phenotypic correlation, Path analysis, Green pod yield per plant

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How to cite this article:

Shilpashree, N., S. Nirmala Devi, P. Anitha and Indira, P. 2019. Character Association and Path Analysis Studies in Vegetable Soybean (Glycine max L.).Int.J.Curr.Microbiol.App.Sci. 8(8): 1011-1018. doi: https://doi.org/10.20546/ijcmas.2019.808.117
Copyright: This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike license.

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