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International Journal of Current Microbiology and Applied Sciences (IJCMAS)
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Original Research Articles                      Volume : 7, Issue:3, March, 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(3): 883-890
DOI: https://doi.org/10.20546/ijcmas.2018.703.103


Genetic Variability, Correlation and Path Coefficient Analysis in the Indian Mustard (Brassica juncea L. Czern and Coss) Varieties Grown in Chitrakoot, India
Sandeep Dawar, Navin Kumar* and S.P. Mishra
Department of Crop Science, MGCGV, Chitrakoot, Satna MP, India
*Corresponding author
Abstract:

The present research was carried out to determine the selection criteria for yield improvement in selected genotypes of Indian mustard. Thirty genotypes were sown at MGCGV farm Chitrakoot to evaluate the mean and component of variability, correlation and path analysis for yield and various yield components. The correlation coefficient of the seed yield per plant (g.) had significant and positive correlation with plant height; number of primary branch, total no. of siliqua per plant and 1000-seed weight at genotypic level. Path coefficient analysis revealed that, the highest positive direct effect on seed yield (g) was exhibited by total no. of siliqua per plant, plant height, 1000-seed weight, Number of primary branches and number of seed per siliqua had direct positive contribution towards seed yield per plant. For mustard breeding seed per plant is variable with maximum potential of selection for seed yield improvement because this traits possessed high heritability significant positive correlation and maximum positive direct effects with yield.


Keywords: Genotypes. Heritability, Variability, Breeding

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How to cite this article:

vInt.J.Curr.Microbiol.App.Sci. 7(3): 883-890. doi: https://doi.org/10.20546/ijcmas.2018.703.103
Copyright: This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike license.

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