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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 (2020)
[Effective from January 1, 2020]
For more details click here

ICV 2018: 95.39
Index Copernicus ICI Journals Master List 2018 - IJCMAS--ICV 2018: 95.39
For more details click here

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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(6): 314-321
DOI: https://doi.org/10.20546/ijcmas.2020.906.041


Genetic Variability, Correlation and Path coefficient Analysis for Yield and Yield Attributing Traits in Advanced Breeding Lines (ABLs) of Green Gram [Vigna radiata (L.)Wilczek] in F6 Generation
L. S. Abhisheka1* and Suma C. Mogali2
1Department of Genetics and Plant Breeding
2AICRP on MULLaRP, Main Agricultural Station, College of Agriculture, University of Agricultural Sciences, Dharwad- 580005, Karnataka, India
*Corresponding author
Abstract:

Hundred and ten Advanced Breeding Lines (ABLs) derived from fourteen families of green gram in F6 generation were evaluated in augmented design during summer-2019 for estimation of genetic variability, heritability, genetic advance, correlation and path coefficient analysis for yield and yield attributing traits. High genotypic coefficient of variation and phenotypic coefficient of variation were recorded for number of pods per plant and seed yield per plant. High heritability and high genetic advance under mean were recorded for plant height, number of branches per plant, number of pods per cluster, number of pods per plant, hundred seed weight and seed yield per plant. The characters, number of pods per plant and hundred seed weight had highest positive direct effect and also had high positive correlation on seed yield. Thus these are the most important and reliable characters which can be utilized in direct selection for improving the seed yield.


Keywords: Genetic variability, correlation coefficient, path analysis, green gram, advanced breeding lines
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How to cite this article:

Abhisheka, L. S. and Suma C. Mogali. 2020. Genetic Variability, Correlation and Path coefficient Analysis for Yield and Yield Attributing Traits in Advanced Breeding Lines (ABLs) of Green Gram [Vigna radiata (L.)Wilczek] in F6 Generation.Int.J.Curr.Microbiol.App.Sci. 9(6): 314-321. doi: https://doi.org/10.20546/ijcmas.2020.906.041