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International Journal of Current Microbiology and Applied Sciences (IJCMAS)
IJCMAS is now DOI (CrossRef) registered Research Journal. The DOIs are assigned to all published IJCMAS Articles.
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National Academy of Agricultural Sciences (NAAS)
NAAS Score: *5.38 (2019)
[Effective from January 1, 2019]
For more details click here

ICV 2018: 95.39
Index Copernicus ICI Journals Master List 2017 - IJCMAS--ICV 2018: 95.39
For more details click here

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Original Research Articles

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.2020.9(3): 2445-2451
DOI: https://doi.org/10.20546/ijcmas.2020.903.280


Correlation and Path Coefficient Analysis of Grain Yield and its Growth Components in Soybean (Glycine max. L.)
Agashe Nehatai Wamanrao1*, Vinod Kumarand Dronkumar Meshram3
1Department of Mathematics, Statistics & Computer Science, G. B. Pant University of Agriculture and Technology, Pantnagar, Uttarakhand, India
2Department of Agronomy, Dr.PanjabraoDeshmukhKrishiVidyapeeth Akola, India
*Corresponding author
Abstract:

In this paper, correlation and path coefficient analysis for finding all possible relationships between grain yield and plant growth components have been carried out. The plant growth components are not only individually correlated with yield, but also correlated among themselves. The inter-character correlations among grain yield (GY), number of grain per plant (NG), number of pods per plant (NP), leaf area index (LAI), plant height (PH), weight of grain per plant (WG), number of branches per plant and biological yield (BY) were measured for this study. The correlation analysis reveals that the number of pods per plant (0.649**), the number of grains per plant (0.592**) and the number of branches per plant (0.798**) are significantly correlated with grain yield. Among the causal characters, the number of branches per plant exhibits the highest direct positive effect (0.797) with grain yield. Finally, it is concluded that the number of grain per plant, number of branches per plant and number of pods per plant should be considered as indices for selecting high yielding soybean variety.


Keywords: Correlation; Path Coefficient; Biological yield
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How to cite this article:

Agashe Nehatai Wamanrao, Vinod Kumar and Dronkumar Meshram. 2020. Correlation and Path Coefficient Analysis of Grain Yield and its Growth Components in Soybean (Glycine max. L.).Int.J.Curr.Microbiol.App.Sci. 9(3): 2445-2451. doi: https://doi.org/10.20546/ijcmas.2020.903.280