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Fifty-six desi chickpea (Cicer arietinum L.) advance breeding lines were evaluated in order to explore the possibility of genetic divergence for yield and its contributing traits using Mahalanobis’s D2 Statistics and Principal Component Analysis. High estimates of heritability, genetic advance, GCV and PCV were recorded for seed yield per plant (92.2%, 12.4%, 37.1% and 38.7%), biological yield per plant (88.1%, 21.9%, 29.1% and 31.0%) and harvest index (87.3%, 25.0%, 22.7% and 24.3%). All the test genotypes were sort into five discrete clusters. Biological yield/plant (23.5%), days to maturity (17.3%), harvest index (14.6%), seed yield/plant (11.3%), total number of pods/plant (7.4%) and 100 seed weight (6.49%) were found to have highest percentage contributions to genetic diversity in the present research. The first six principal components (PC1 19.7%, PC 16.2%, PC3 11.2%, PC4 9.69%, PC5 7.2% and PC6 6.69%) could explain 70.68% of the total of the interaction variation and have Eigen value more than one.  Genotypes JG 2016-1411, JG 2016-9605, JG 2017-46, ICCV 16105, ICCV 16109, ICCV 16112 and ICCV 16116 were present in more than one PCs hence contributed maximum towards yield and can be used in various breeding programmes for yield improvement. 


Genetic divergence Heritability D2 analysis PCA

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Babbar, A., Kujur, M. J., Sharma , P., Chaudhary, B., Patel, M., & Shakya, A. (2023). Elucidating genetic diversity and variability in Chickpea (Cicer arietinum L.) using yield attribution traits. Environment Conservation Journal, 24(4), 140–147.


  1. Babbar, A., Pandey, S., & Singh, R. (2015). Genetic studies on chickpea genotypes grown in late sown under rice fallow conditions of Madhya Pradesh. Electronic Journal of Plant Breeding, 6(3), 738-748.
  2. Bankoliya, M., Yadav, V., Kumar, A., Amrate, P., & Bhatt, J. (2022). The Resistance screening and in-vitro efficacy of fungicides for the management of dry root rot of chickpea caused by Rhizoctonia bataticola. Environment Conservation Journal, 23(3), 8–13. DOI:
  3. Brejda, J. J., Moorman, T. B., Karlen, D. L., & Dao, T. H. (2000). Identification of regional soil quality factors and indicators. I. Central and Southern High- Plains. Soil Science Society of America Journal, 64, 2115-2124. DOI:
  4. Dehal, I. B., Kalia, R., & Kumar, B. (2016). Genetic estimates and path coefficient analysis in chickpea under normal and late sown environments. Legume Research, 39(4), 510-516. DOI:
  5. Dhuria, N., & Babbar, A. (2015). Assessment of genetic variability and traits association in kabuli chickpea (Cicer arietinum L.). Progressive Research – An International Journal, 10(1), 455-458.
  6. Gaur, P. (2021). Can India sustain high growth of pulses production? Journal of Food Legumes, 34(1), 1-3.
  7. Jakhar, D. S., Singh, R., & Kamble, M. S. (2016). Genetic diversity studies in chickpea (Cicer arietinum L.) in Kolhapur region of Maharashtra. Bangaladesh Journal of Botany, 45(3), 459-464.
  8. Johnson, H. W., Robinson, H. F., & Comstock, R. E., (1955). Estimates of genetic and environmental variability in soybeans. Agronomy Journal, 47, 314-318. DOI:
  9. Kujur, M. J., Bilaiya, S. K., Mehta, A. K. & Meena, V. (2017). Genetic divergence in fodder ricebean (Vigna umbellata). Forage research 43(2), 106-109.
  10. Meena, H. P., Kumar, J., & Ramesh, M. (2014). Evaluation of the reaction of chickpea (Cicer arietinum L.) Genotypes to drought conditions using various stress tolerance indices. Legume Research, 37(5), 453-459. DOI:
  11. Mohammed, A., Tesso, B., Ojiewo, C., & Ahmed, S. (2019). Assessment of genetic variability and heritability of agronomic traits in Ethiopian chickpea (Cicer arietinum L.) Landraces. Black sea journal of agriculture, 2(1), 10-15.
  12. Pandey, A., Gupta, S., Kumar, A., Thongbam, P. D., & Pattanayak, A. (2013). Genetic divergence, path coefficient and cluster analysis of chickpea (Cicer arietinum) cultivars, in the mid-altitudes of Meghalaya. Indian Journal of Agricultural Sciences, 83(12), 1300-1304.
  13. Patil, R., Viswanatha, K. P., Upadhyaya, H. D., Lokesha, R., Khan, H., Gururaj, S., & Somasekhar. (2020). Genetic diversity, association and principle component analyses for agronomical and quality traits in genomic selection training population of groundnut (Arachis hypogaeaL.).Indian Journal of Genetics and Plant Breeding, 80(3), 282-290. DOI:
  14. Ramanappa, T. M., Chandrashekara, K., & Nuthan, D. (2013). Analysis of Variability for Economically Important Traits in Chickpea (Cicer arietinum L.). Internationa Journal of Research in Applied, Natural and Social Science, 1(3), 133-140.
  15. Shivwanshi, R., & Babbar, A. (2019). Genetic divergence analysis in chickpea germplasm. Legume Research, 42(5), 715-718. DOI:
  16. Shrivastava, A., Babbar, A., Prakash, V., Tripathi, N., & Iquebal, M. A. (2012). Genetic and molecular diversity analysis of chickpea (Cicer arietinum L.) genotypes grown under rice fallow condition. Journal of Food Legumes, 25(2), 147-149.
  17. Swarup, V., & hougule, D. S. (1962). Studies on genetic variability in soghum. Indian Journal of Genetics and Plant Breeding 22, 31-39.