Genetic Variability and Association Study for Quantitative Traits in Chickpea (Cicer arietinum L.) Genotypes
SHORT COMMUNICATION
184 / 133
Keywords:
Variability,, Correlation, GCV, PCV, Path analysisAbstract
A comprehensive assessment of genetic variability, traits association and direct contribution to yield was conducted at Rajasthan Agricultural Research Institute Durgapura, Jaipur across diverse chickpea genotypes to identify key determinants for yield improvement. Significant genotypic differences were observed for all traits underscoring substantial genetic variability and the scope for selection. The analysis revealed that traits such as grain yield and pods per plant possessed high genetic variability while moderate variability was noted for flowering time, plant height, maturity and test weight. Phenotypic variation exceeded genotypic variation for all traits highlighting the role of environmental factors; however, the narrow gap between them for most traits suggests that environmental influence was limited, making these traits reliable for selection. High broad-sense heritability estimates for the majority of traits, coupled with moderate to high genetic advance, indicated a predominant role of additive gene action, thus making direct selection effective for improving key traits associated with yield. Correlation analysis revealed positive association of yield with flowering time, plant height, maturity and pods per plant while negative association was observed with plant stand at harvest. Path coefficient analysis provided deeper insights into the nature of trait-yield relationships. Flowering time, pods per plant and test weight exerted strong direct positive effects on yield suggesting their strategic importance in breeding programs. Conversely, maturity, plant height and plant stand at harvest showed negative direct effects, indicating potential yield penalties associated with these traits. The relatively low residual effect highlights the robustness of the model, confirming that the selected traits effectively explain the majority of yield variation and offer promising avenues for genetic enhancement in chickpea.
Downloads
References
Ahmad, F., Gaur, P. M., & Croser, J. 2005. Chickpea (Cicer arietinum L.). In: Genetic resources, chromosome engineering, and crop improvement- grain legumes, 1: 187-217.
Al-Jibouri, H.A., Miller, P.A. and Robinson, H.F. 1958. Genetic and environmental variance and covariance in an upland cotton cross of inter specific origin. Agronomy Journal, 50:633-637.
Anonymous, 2025. Commissionerate of Agriculture, Rajasthan, Jaipur
Bhanu Nishant A., Singh M.N., Tharu Rajendra, Saroj S.K. 2017. Genetic variability, correlation and path coefficient analysis for quantitative traits in chickpea genotypes. Indian Journal of Agricultural Research, 51(5): 425–430.
Burton, G.W. and Devane, E.M. 1953. Estimating heritability in tall festuca from replicated clonal material. Agronomy Journal, 45: 478-481.
Dewey, D.R. and Lu, K.H. 1959. A correlation and path coefficient of components of crested wheat grass seed production. Agronomy Journal,51: 515-518.
Gaur, A. K., Verma, S. K., & Panwar, R. K. 2020. Estimation of genetic variability and character association for development of selection criteria in pigeonpea [Cajanus cajan (L.) Millspaugh]. International Journal of Chemical Studies, 8(2): 391-394
Gautam, A., Panwar, R. K., Verma, S. K., Arora, A., Gaur, A.K. and Chauhan, C. 2021. Assessment of Genetic Variability Parameters for Yield and its Components in Chickpea (Cicer arietinum L.). Biological Forum – An International Journal 13(2): 651-655.
Kumar, A., Mishra, P.K., & Verma, S. 2023. Assessment of genetic variability, correlation and path coefficient analysis for yield and its attributing traits in chickpea (Cicer arietinum L.). The Pharma Innovation Journal, 12(3): 4851–4859.
Pal, D., Verma, S. K., Panwar, R. K., Arora, A., & Gaur, A. 2018. Correlation and path analysis studies in advance lines of pigeonpea [Cajanus cajan (L.) Millspaugh] under different environments. International Journal of Current Microbiology and Applied Sciences, 7(4): 378-389.
Saroj, S.K., Tharu, R., & Singh, M. 2023. Correlation Studies and Diversity Analysis in Chickpea (Cicer arietinum L.) Cultivars for Seed Yield and Associated Traits. Environment and Ecology, 41(3): 1328–1333.
Sharma, R., Kaur, M., & Yadav, R. 2022. Genetic variability, correlation and path coefficient analysis for quantitative traits in chickpea (Cicer arietinum L.) genotypes. International Journal of Environment and Climate Change, 12(11): 3641–3649.
Singh, C., Singh, P. and Singh, R. 2009. Modern techniquesof raising field crops, 195.
Singh, P. K., Nath, S., Dubey, S., Mishra, P. And Kushwaha, C. 2023. Genetic Divergence on Chickpea (Cicer arietinum L.) Genotypes Grown under Late Sown Conditions. International Journal of Environment and Climate change. 13:(7). 637-645.
Tharu, R., Nishant, B., & Saroj, S.K. 2021. Genetic variability, correlation and path coefficient analysis for quantitative traits in chickpea (Cicer arietinum L.) genotypes. International Journal of Botany Studies, 6(5): 324–330.
Ullah, A., Farooq, M., Nadeem, F., Rehman, A., Hussain, M.,Nawaz, A. and Naveed, M. 2020. Zinc application in combination with zinc solubilizing Enterobacter sp.MN17 improved productivity, profitability, zincefficiency, and quality of desi chickpea. Journal ofSoil Science and Plant Nutrition,20(4): 2133-2144.
Verma, S. K., Bisht, C., Gaur, A. K., & Chandra, D. 2018. Study on Some Genetic Parameters for Yield and Related Traits in Pigeonpea [Cajanus cajan (L.) Millspaugh] Genotypes. Chemical Science Review and Letters. 7(25): 70-76.
Downloads
Submitted
Published
Issue
Section
License
Copyright (c) 2025 S K Jain, Omprakash, Ritu Sharma, Vaibhav Sharma, Babu Lal Dhaka

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.






