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International Journal of Current Microbiology and Applied Sciences (IJCMAS)
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Original Research Articles                      Volume : 7, Issue:8, August, 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(8): 612-621
DOI: https://doi.org/10.20546/ijcmas.2018.708.066


Correlation and Path Analysis for Yield and Yield Components in Blackgram [Vigna mungo (L.) Hepper]
Nikhil A. Suryawanshi, Gabrial M. Lal and Suyog D. Warkad
Department of Genetics and Plant Breeding, Naini Agriculture Institute, Sam Higginbottom University of Agriculture, Technology and Sciences, Allahabad-211007 (U.P.), India
*Corresponding author
Abstract:

The experimental material was consisting of 31 Black gram genotypes, check as T-9, during kharif 2017. The experiment was laid out in Randomised Complete Block Design with 3 replications at field experimentation centre of Department of Genetics and Plant Breeding, Sam Higginbottom University of Agriculture, Technology & Sciences. The observations were logged on five randomly taken plants to each treatment and replication for 13 quantitative characters viz. days to 50% flowering, days to 50% pod setting, plant height, number of primary branches per plant, clusters per plant, pods per plant, pod length, seeds per pod, days to maturity, seed index, biological yield, harvest index and seed yield to estimate the variability, heritability and genetic advance as % mean, character association and path analysis. High heritability coupled with high genetic advance as percent of mean was recorded for seed yield per plant represents simple selection is effective to improve these characters. The correlations revealed that harvest index and plant height have the significant positive association with the seed yield per plant at both genotypic and phenotypic levels. The path analysis revealed that the harvest index, biological yield, days to 50 % flowering and seed per pod had shown the true relationship with seed yield by establishing the positive correlations and direct effects at both genotypic and phenotypic levels.


Keywords: Black gram [Vigna mungo (L.) Hepper], Genetic variability, Correlation, Path analysis

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How to cite this article:

Nikhil A. Suryawanshi, Gabrial M. Lal and Suyog D. Warkad. 2018. Correlation and Path Analysis for Yield and Yield Components in Blackgram [Vigna mungo (L.) Hepper].Int.J.Curr.Microbiol.App.Sci. 7(8): 612-621. doi: https://doi.org/10.20546/ijcmas.2018.708.066
Copyright: This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike license.

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