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International Journal of Current Microbiology and Applied Sciences (IJCMAS)
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Original Research Articles                      Volume : 8, Issue:12, December, 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(12): 296-303
DOI: https://doi.org/10.20546/ijcmas.2019.812.041


Study on Correlation and Path Analysis for Yield and Yield Components in Cowpea [Vigna unguiculata (L.) Walp]
P. D. Waghmare*, U. B. Pethe and G. R. Sabale
Dr. Balasaheb Sawant Konkan Krishi Vidyapeeth, Dapoli (MS), India
*Corresponding author
Abstract:

The present experiment was carried out on correlation and path analysis in cowpea [Vigna unguiculata (L.) Walp.] during 2016-17. The study was consists 30 genotypes of cowpea using randomized block design with two replications. The phenotypic and genotypic correlation coefficient revealed that seed yield per plant was significantly and positively correlated with dry matter yield per plant (0.8502), harvest index (0.8082), 100 seed weight (0.6377), number of pods per plant (0.4413) and number of seeds per pod (0.2815). However, plant height (-0.0022) showed significantly and negatively correlated with seed yield per plant. The character pod length (-0.2377) showed negative non-significantly correlated with seed yield per plant. Path coefficient analysis of different yield and yield contributing traits on number of pods per plant, number of seeds per pod, pod length (cm), hundred seed weight (g) and harvest index (%) exhibited positive direct effects on seed yield per plant these characters play a major role in recombination breeding and suggested that direct selection based on these traits will be rewarded for crop improvement of cowpea.


Keywords: Cowpea, Genotypes, Correlation, Path co-efficient analysis

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How to cite this article:

Waghmare, P. D., U. B. Pethe and Sabale, G. R. 2019. Study on Correlation and Path Analysis for Yield and Yield Components in Cowpea [Vigna unguiculata (L.) Walp].Int.J.Curr.Microbiol.App.Sci. 8(12): 296-303. doi: https://doi.org/10.20546/ijcmas.2019.812.041
Copyright: This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike license.

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