Vol. 7, Special Issue 6 (2019)
Genetic variability, correlation and path coefficient analysis for yield and its component traits in chickpea (Cicer arietinum L.)
Author(s): Anand Kumar, Anil Kumar, Ravi Ranjan Kumar, Sanjay Kumar, Satyendra, Kumari Rajani and PK Singh
Abstract: The present study was aimed to estimate the extent of genetic variability for yield & its components traits, genetic association, path coefficient analysis in forty-five genotypes of chickpea (Cicer arietinum L.). The experiment was conducted at Pulse research farm, Bhitti, Bihar Agricultural University, Sabour during Rabi season 2018-19. High values of phenotypic and genotypic coefficients of variation were noticed for 100 seed weight and number of pods per plant. The genotypic coefficient of variation obtained for yield and its attributing traits ranged from 0.46-26.09. Moderate genotypic coefficient of variation was observed number of pods per plant, grain yield per plot and plant height. Phenotypic coefficient of variation was recorded highest for 100 seed weight followed by number of pods per plant and grain yield per plot. High heritability was recorded for days to 50% flowering, 100 seed weight and number of pods per plant. High heritability coupled with high genetic advance was recorded by 100 seed weight, number of pods per plant and grain yield per plot. High genetic advance indicated that, additive genes govern these characters and selection will be rewarding for improvement of these traits. Correlation analysis revealed that grain yield exhibited significant and positive correlation with number of pods per plant and while it showed significant and negative association with days to maturity. Path analysis revealed that number of pods per plant, plant height and days to 50% flowering had highest direct positive effect on grain yield. The present study has clearly indicated the need for giving due weight age to 100 seed weight, number of pods per plant for improving yield in chickpea. The above mention traits should be given due emphasis for future chickpea genetic improvement because they possess high genetic variance, heritability coupled with high genetic correlation among themselves which may yield high genetic advance under proper selection pressure in a breeding programme.
Pages: 837-840 | 525 Views 113 Downloads
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How to cite this article:
Anand Kumar, Anil Kumar, Ravi Ranjan Kumar, Sanjay Kumar, Satyendra, Kumari Rajani and PK Singh. Genetic variability, correlation and path coefficient analysis for yield and its component traits in chickpea (Cicer arietinum L.). International Journal of Chemical Studies. 2019; 7(6): 837-840.
