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International Journal of Current Microbiology and Applied Sciences (IJCMAS)
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Original Research Articles                      Volume : 8, Issue:12, December, 2019

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.2019.8(12): 2341-2352
DOI: https://doi.org/10.20546/ijcmas.2019.812.276


Genetic Variability, Correlation and Path Coefficient Analysis in Chickpea (Cicer arietinum L.) for Yield and its Component Traits
Sanjay Kumar1*, B. G. Suresh1, Anand Kumar2 and G. R. Lavanya1
1Department of Genetics and Plant Breeding, Sam Higginbottom University of Agriculture, Technology and Sciences, Allahabad, U.P.-211007, India
2Bihar Agricultural University, Sabour (Bhagalpur)-813210, India
*Corresponding author
Abstract:

The present experiment was carried out at field experimentation centre site of the Genetics and Plant Breeding, Naini Agricultural Institute, Sam Higginbottom University of Agriculture, Technology and Sciences, Allahabad to study about genetic variability, correlation and path analysis in fifty chickpea germplasm during Rabi, 2017-18. The analysis of variance revealed significant differences among the genotypes for all the characters under the study, indicating a high degree of variability present in the material. The values of PCV were found greater than GCV for all the traits studied indicating environmental factors influencing the characters. High PCV and GCV were observed for effective pods per plant (36.41% and 34.38%) followed by total number of pods per plant (34.85% and 32.70%) and seed index (29.98% and 29.78%) indicated large extent of genetic variability for these traits in the material. High heritability were recorded by seed index (98.61%) followed by harvest index (90.81%), effective pods per plant (89.14%), total number of pods per plant (88.01%), secondary branches per plant (84.42%), primary branches per plant (84.31%) and plant height (81.03%).High heritability along with high genetic advance was observed for the traits, viz., effective pods per plant, total number of pods per plant, seed index, primary branches per plant and secondary branches per plant indicated that the characters were mostly governed by additive gene effects. So direct selection of these characters based on phenotypic expression by simple selection method would be effective due to accumulation of more additive genes leading to further improvement. Grain yield per plant showed positive significant genotypic and phenotypic correlations with biological yield/plant, seed index, harvest index, effective pod/plant, total number of pods/plant and secondary branches per plant whereas significant negative correlations with days to 50% flowering respectively. At the both phenotypic and genotypic levels, biological yield per plant, harvest index, days to maturity, chlorophyll index and plant height had direct positive effect on grain yield per plant had given the highest contribution on yield per plant. So the utmost importance should be given to these characters during the selection for yield improvement in chickpea.


Keywords: Cicer arietinum L., Genetic variability, Correlation, Path analysis and grain yield

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How to cite this article:

Sanjay Kumar, B. G. Suresh, Anand Kumar and Lavanya, G. R. 2019. Genetic Variability, Correlation and Path Coefficient Analysis in Chickpea (Cicer arietinum L.) for Yield and its Component Traits.Int.J.Curr.Microbiol.App.Sci. 8(12): 2341-2352. doi: https://doi.org/10.20546/ijcmas.2019.812.276
Copyright: This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike license.

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