Chickpea is multipurpose plant originated in the south east Turkey and Syria. The objective of the study was to asses magnitude of genetic divergence for trait of interst using Mahalanobis’s D2statistics, agronomic performance and nutritional content of protein, zinc and iron at Sirinka, Jari and Kobo locations under rainfed condition in 2018 growing season using simple lattice design. Single location analysis of variance showed highly significant difference (P<0.01) among the tested genotypes for all traits except pod length and number of leaf let per leaf at Jari and secondary branch and number of leaf let per leaf at Sirinka, indicating the presence of genetic variability and combined analysis of variance also revealed that genotype by environment interaction had highly significant difference (P<0.01) among the tested genotypes except number of seed perpod and number ofleaf let per leaf. The crude protein content ranged from 13.9 - 19, 15.5 - 21, 18 - 24%; iron from 1.6 - 10.8, 1.39 - 10.98, 1.4 - 13; and zinc from 1.3 - 3.67, 1.51 - 3.64, 0.9 - 4.69 mg/100g at Jari, Sirinka and Kobo, respectively; this also indicated variation among genotypes. Grain yield, hundred seed weight, biomass yield, primary branch, secondary branch, iron and zinc at Jari; hundred seed weight, Grain yield, biomass and iron at Sirinka; and hundred seed weight, grain yield, biomass, secondary branch, zinc and iron at Kobo had high values of heritability and genetic advance as percentage of the mean and are the most important traits which could be easily improved through selection. Correlation of grain yield with biomass and harvest index was positive and highly significant both at genotypic and phenotypic level for both locations. A positive and significant correlation between iron and zinc suggesting that genetic factors for increasing iron and zinc are co-segregating. Biomass and harvest index exerted strong direct effects on yield at the three locations, implying that these traits could be used as indirect selection criteria to improve seed yield in chickpea. Cluster analysis based on Euclidian distance grouped the genotypes into six (Jari), six (Sirinka), five (Kobo) clusters for quantitative (18) traits. Genetic divergence analysis using the D2 distance revealed that maximum distance (133.3),(186.6) and (176.7), was observed between clusters IV and V, I and V and III and V at Jari, Sirinka and Kobo, respectively. Principal component analysis resulted in five (Sirinka and Jari) and six (Kobo) principal components (PCs) with eigenvalues greater than unity accounted for about 69.51, 69.83 and 74.46% of the total variation at Jari, Sirinka and Kobo, respectively with respect to the 18 traits. Genotypes with high level of protein IE-16 - 121, IE-16 – 091 and IE-16 – 044 for Jari; local check, IE-16 – 121 and IE-16 – 091 for Sirinka and IE-16 – 078, IE-16 – 133 and ICC- 1882 for Kobo. For zinc DZ-2012-ck-20115-16-0058, IE-16 – 044 and ICCV – 96836 for Jari; Dalota, ICCV – 96836 and IE- 16 – 148 for Sirinka and IE-16 – 080, ICCV – 96836 and MABC-18 for Kobo; for iron DZ-10-11, DZ-2012- CK-0277 and IE-16 – 080 for Jari; ICCV-4918, DZ-2012-CK-240 and DZ-2012-ck-20115-16-0058 for Sirinka; ICC-1205, ICCV-96836 and DZ-2012-CK-0231 for Kobo, could be used as a gene source in future quality breeding work. Key words: Chickpea, cluster analysis, correlation, genotypes, nutrtion, seed yield