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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(1): 2556-2563
DOI: https://doi.org/10.20546/ijcmas.2020.901.290


Genetic variability and Trait association studies in Indian mustard (Brassica juncea L. Czern & Coss)
Anand Lakra, Girish Tantuway*, Aditi Eliza Tirkey and Kartikeya Srivastava
Department of Genetics and Plant Breeding, Institute of Agricultural Sciences, Banaras Hindu University, Varanasi- 221005
*Corresponding author
Abstract:

The basic requirement for crop improvement program is existence of genetic variability for selection of superior genotypes. For efficient indirect selection of complex characters it is important to know the association between traits. With the aim to study the genetic variability and correlation between traits among thirty Indian mustard genotypes, these genotypes were evaluated in Randomized Block Design during Rabi 2016-2017. Study revealed that number of secondary branches, seed yield per plant and seed yield per plot exhibited high to moderate GCV accompanied with high to moderate PCV indicating that selection may be effective based on these traits. High to moderate heritability with high to moderate genetic advance was found for number of secondary branches and number of siliqua per plant. Correlation studies indicated seed yield per plot showed positive and significant correlation with days to 50% flowering, days to maturity, number of siliqua per plant, length of siliqua and number of seeds per siliqua. The path coefficient analysis revealed that seed yield per plot, days to 50% flowering and plant height has positive direct effect on seed yield per plant which suggests that direct selection for these traits can be done for improvement of yield.


Keywords: Heritability, genotypic correlation, phenotypic correlation and path analysis
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How to cite this article:

Anand Lakra, Girish Tantuway, Aditi Eliza Tirkey and Kartikeya Srivastava. 2020. Genetic variability and Trait association studies in Indian mustard (Brassica juncea L. Czern & Coss). Int.J.Curr.Microbiol.App.Sci. 9(1): 2556-2563. doi: https://doi.org/10.20546/ijcmas.2020.901.290