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International Journal of Current Microbiology and Applied Sciences (IJCMAS)
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Original Research Articles                      Volume : 10, Issue:1, January, 2021

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.2021.10(1): 372-381
DOI: https://doi.org/10.20546/ijcmas.2021.1001.046


Studies on Correlation and Path Coefficient Analysis for Quantitative Traits in Blackgram (Vigna mungo L. Hepper)
Aman Mishra* and G. R. Lavanya
Department of Genetics and Plant Breeding, Sam Higginbottom University of Agriculture Technology & Sciences, Prayagraj, Uttar Pradesh, India
*Corresponding author
Abstract:

The present investigation was carried out with 22 genotypes during zaid2019 at Experimentation Centre, Department of Genetics and Plant Breeding, Naini Agricultural Institute, Sam Higginbottom University of Agriculture Technology and Science, Prayagraj. The genotypes were planted in Randomized Block Design with three replications with an aim to determine genetic variability, correlation, direct and indirect relationship between yield and its component characters. Mean squares due to genotypes for all the characters were highly significant as revealed from ANOVA indicating substantial amount of genetic variability among the genotypes under study. Mean performance results have shown that genotypes KU-719, KU88-9-1, Shekhar-1 followed by Azad-1 showed better performance for seed yield. Moderate to high GCV, PCV and heritability is coupled with high genetic advance as per cent of mean were being observed for plant height, number of clusters per plant, number of pods per plant, harvest index, seed index and seed yield per plant. Seed yield is significantly and positively correlated with number of clusters per plant, number of pods per plant and harvest index at phenotypic level. Path coefficient analysis revealed that maximum positive direct effect on seed yield per plant was exhibited by number of pods per plant followed by harvest index. Therefore simultaneous selection for pods per plant, harvest index and number of clusters per plant is suggested for improvement of grain yield per plant in blackgram.


Keywords: Blackgram, GCV, PCV, Heritability, Genetic advance, Correlation and Path Coefficient Analysis

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How to cite this article:

Aman Mishra and Lavanya, G. R. 2021. Studies on Correlation and Path Coefficient Analysis for Quantitative Traits in Blackgram (Vigna mungo L. Hepper).Int.J.Curr.Microbiol.App.Sci. 10(1): 372-381. doi: https://doi.org/10.20546/ijcmas.2021.1001.046
Copyright: This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike license.

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