Multivariate analysis in chickpea (Cicer arietinum L.) genotypes
Keywords:
Chickpea, Correlation, Multivariate analysis, VariabilityAbstract
The present study evaluated 30 chickpea (Cicer arietinum L.) genotypes for assessing genetic variability, trait associations and diversity analysis. The significant genotypic differences were observed for most traits, indicating substantial genetic variability, except for primary branches per plant. Days to 50% flowering showed a significant positive correlation with days to maturity and a negative correlation with hundred seed weight and biological yield per plant. Path coefficient analysis identified harvest index as having the most substantial positive direct effect on seed yield per plant, followed by biological yield per plant. Genetic diversity assessment grouped the genotypes into five clusters, indicating considerable genetic divergence. Cluster V, the largest, contained 16 genotypes and exhibited superior mean values for plant height, number of pods per plant, hundred seed weight, harvest index and seed yield per plant. The maximum inter-cluster distance was observed between Clusters IV and V, suggesting use of genotypes from these diverse clusters in crossing for obtaining transgressive segregants.
References
Al-Jibouri HA, Miller PA and Robinson HF. 1958. Genotypic and environmental variances and covariances in an upland cotton cross. Agronomy Journal 50: 633-637.
Chetariya CP, Pithia MS, Pheirim R, Mehandi S, Pampaniya AG and Barad SH. 2023. Genetic variability and stability of Desi chickpea (Cicer arietinum L.) genotypes under late sown terminal heat stress conditions. Electronic Journal of Plant Breeding 14(4): 1433-1445.
Dawane DB, Wankhade VR and Kurundkar BP. 2020. Genetic variability, heritability and correlation studies in chickpea (Cicer arietinum L.). Journal of Pharmacognosy and Phytochemistry 9(5): 2588-2591.
Directorate of Pulses Development, Ministry of Agriculture & Farmers Welfare. (2024). Crop-wise area, production and productivity of pulses from 2021-22 to 2022-23 (DPD/Pub./TR/47/2023-24). Government of India
de Mendiburu, F. 2021. agricolae: Statistical procedures for agricultural research (Version 1.4.0) [R package]. https://CRAN.R-project.org/package=agricolae
Dewey DR and Lu KH. 1959. A correlation and path coefficient analysis of components of crested wheatgrass seed production. Agronomy Journal 51(9): 515-518.
Eker T. 2022. Association studies of yield and yield components in chickpea (Cicer arietinum L.) under rainfed conditions. Legume Research 45(2): 157-162.
FAO. 2016. Pulses: Nutritious seeds for a sustainable future. Food and Agriculture Organization of the United Nations. https://www.fao.org/3/i5528e/ i5528e.pdf
Hagberg AA, Schult DA and Swart PJ. 2008. Exploring network structure, dynamics, and function using NetworkX. Proceedings of the 7th Python in Science Conference (SciPy2008), 11-15. https://doi.
org/10.25080/Majora-7b98e3ed-00e
Hailu F, Alamerew S and Fikre A. 2021. Correlation and path coefficient analysis for grain yield and related traits in kabuli chickpea (Cicer arietinum L.). Advances in Crop Science and Technology 9(4): 249-256.
Hunter JD. 2007. Matplotlib: A 2D graphics environment. Computing in Science and Engineering, 9(3): 90-95. https://doi.org/10.1109/MCSE.2007.55
Hussain S, Deka AM, Choudhury MR, Taye RR and Khan P. 2025. Genetic Variability and Character Association for Yield and Yield Related Traits in Rajmah (Phaseolus
ulgaris L.) Landraces of Barak Valley of Assam. Journal of Food Legumes 38(1): 151-57.
Kumar R, Sharma SK and Kumar M. 2021. Genetic divergence and combining ability studies in chickpea (Cicer arietinum L.). Legume Research 44(1): 123-129.
Kumar S, Sharma S and Chaturvedi SK. 2023. Strategic traits for improving yield under abiotic stress in chickpea. Frontiers in Plant Science 14(1): 120-126.
McKinney W. 2010. Data structures for statistical computing in Python. Proceedings of the 9th Python in Science Conference 51-56. https://doi.org/10.25080/ Majora-92bf1922-00a
Mehandi S and Mishra SP. 2023. Genetic Diversity and Population Structure Analyses in Mungbean (Vigna radiata L. Wilczek). Journal of Food Chemistry and Nanotechnology 9(S1): 316-322.
Ministry of Agriculture and Farmers Welfare. 2023. Agricultural Statistics at a Glance 2023. Government of India. https://agricoop.nic.in
Mudryj AN, Yu N and Aukema HM. 2014. Nutritional and health benefits of pulses. Applied Physiology, Nutrition, and Metabolism 39(11): 1197-1204.
Naik BNK and Mehandi S. 2025. Heterosis and Combining Ability Study for Yield Contributing Traits in Chickpea (Cicer arietinum L.). Journal of Food Chemistry and Nanotechnology 11(S1): 54-58.
Olivoto T and Lucio AD. 2020. metan: An R package for multi-environment trial analysis. Methods in Ecology and Evolution 11(6): 783-789. https://doi. org/10.1111/2041-210X.13384
Panse VG and Sukhatme PV. 1985. Statistical Methods for Agricultural Workers. ICAR, New Delhi.
Praween N, Kumar Y, Sikarwar RS, Basu PS, Bharadwaj C, Mondal B and Dixit GP. 2024. Genetic analysis of chickpea (Cicer arietinum L.) genotypes for seed yield under changing cropping environments. Journal of Food Legumes 37(4): 373-382.
Rao CR. 1952. Advanced Statistical Methods in Biometric Research. John Wiley and Sons, New York.
Rosseel Y. 2012. lavaan: An R package for structural equation modeling. Journal of Statistical Software 48(2): 1-36. https://doi.org/10.18637/jss.v048.i02
Singh A, Shrivastav AK, Singh N, Parmar GB, Tiwari S, Tiwari YK, Mondal B, Jha UC, Katiyar PK, Tripathi S, Singh NP, Singh GP, Dixit G. 2024. Characterization
and identification of unique genotypes for agro economic traits in chickpea. Journal of Food Legumes 37(4): 367-372.
Singh AK, Meena RS and Kumar S. 2022. Chickpea breeding for yield and climate resilience: A review. Legume Research 45(5): 567-574.
Singh D and Narayan P. 2020. Heterosis and combining ability studies in chickpea for seed yield and its components. International Journal of Current Microbiology and Applied Sciences 9(2): 2411-2418.
Singh RK, Verma A, Meena RP and Singh SP. 2022. Analysis of yield contributing traits and correlation in chickpea under late sown conditions. Journal of Food Legumes 35(1): 59-63.
Singh U. (1985). Nutritional quality of chickpea (Cicer arietinum L.): Current status and future research needs. Journal of Food Science and Technology 22(6): 384-398.
Tengse VS, Ghodke, PV and Bhave SG. 2022. Correlation and path analysis studies in chickpea (Cicer arietinum L.). Legume Research 45(1): 89-93.
Tiwari A, Pandey M and Yadav R. 2021. Character association and path analysis studies in chickpea (Cicer arietinum L.). Journal of Pharmacognosy and Phytochemistry 10(2): 1118-1121.
Tocher KD. 1954. The grouping of means in the analysis of variance. Biometrics 10: 187-192.
Toker C, Lluch C, Tejera, NA, Serraj, R and Siddique KHM. 2007. Abiotic stresses in chickpea: Physiological and agronomic approaches. Field Crops Research 104(1-3): 1-12.
Varshney RK, Thudi M, Nayak SN, Gaur PM, Kashiwagi J, Krishnamurthy L and Cook DR. 2013. Genetic dissection of drought tolerance in chickpea (Cicer arietinum L.). Theoretical and Applied Genetics 126(5): 1241-1257.
Vij V and Singh AK. 2021. Correlation and path analysis for yield and its contributing traits in chickpea (Cicer arietinum L.) under heat stress conditions. International Journal of Current Microbiology and Applied Sciences 10(4): 185-193.
Wright S. 1921. Correlation and causation. Journal of Agricultural Research 20: 557-585.
Zohary D, Hopf M and Weiss E. 2012. Domestication of plants in the Old World (4th ed.). Oxford University Press.
