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International Journal of Current Microbiology and Applied Sciences (IJCMAS)
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Original Research Articles                      Volume : 7, Issue:9, September, 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(9): 1232-1239
DOI: https://doi.org/10.20546/ijcmas.2018.709.147


Correlation and Path Analysis in Soybean [Glycine max (L.) Merrill]
G.C. Shekar*, Pushpendra, M. Prasanth, H. Lokesha, M. Mahadeva Swamy, K. Lokesh, P.K. Shrotia and Kamendra Singh
College of Agriculture, Kalaburagi, UAS, Raichur-585 101, Karnataka, India
*Corresponding author
Abstract:

The present investigation on study of correlation and path analysis was carried out in soybean cv, PK 1092 treated with three doses of gamma rays (20 kR 30 kR and 40 kR) and three concentrations of Ethyl methane sulphonate (EMS) (0.05%, 0.10% and 0.15%) and their combinations in M2 generation for twelve quantitative characters. The seed yield per plant had strong positive association with number of pods per plant, number of seeds per pod, total day matters weight (g) per plant, harvest index, seed yield efficiency, oil content and protein content at both genotypic and phenotypic level. The characters days to 50% flowering, day to maturity, number of pods per plant, number of seeds per pod, total days matter weight (g/plant), harvest index, 100 seed weight, oil content and protein content had positive direct effect on seed yield per plant at genotypic level. The selection based on number of pods per plant, number of seed per pod, total day matter per plant, harvest index, seed yield efficiency and 100 seed weight could help in genetic improvement of seed yield per plant in soybean population under study.


Keywords: Soybean, Correlation, Path analysis, Seed yield and Gamma rays

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How to cite this article:

Shekar, G.C., Pushpendra, M. Prasanth, H. Lokesha, M. Mahadeva Swamy, K. Lokesh, P.K. Shrotia and Kamendra Singh. 2018. Correlation and Path Analysis in Soybean [Glycine max (L.) Merrill].Int.J.Curr.Microbiol.App.Sci. 7(9): 1232-1239. doi: https://doi.org/10.20546/ijcmas.2018.709.147
Copyright: This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike license.

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