Extended Abstract Background: Chickpea (Cicer arietinum L.) is a legume grown in cool season areas. It is one of the main sources of protein and energy and plays a major role in improving soil fertility. Peas are divided into two classes, Desi and Kabali. The Desi seed is smaller, wrinkled, and darker while Kabli has a lighter, whiter seed color, larger seed size, and smooth surface. The chickpea yield is 1199 kg per hectare in America, 1261 kg per hectare in India, and 409 kg per hectare in Iran. Until 2005, this plant was called an orphan plant due to the insufficient genetic resources in chickpeas, but the plant was known as a plant with a rich genomic resource after many efforts at national and international levels. Further studies on chickpea genetic diversity are important to improve the yield. Chickpeas have plenty of diversity in different geographical regions, and the genetic pattern and the amount of variation within and between these populations should be known to progress breeding programs and effectively use these germplasm collections. The evaluation of genotypes faces two key challenges. The first is the genotype-environment interaction, and the second is the interaction between the studied traits. This study aimed to investigate the genetic diversity in the Desi chickpea germplasm under autumn cultivation conditions, analyze the relationships of morphological-agronomical traits, and select superior genotypes in terms of all morphological-agronomical traits. Methods: This study was conducted on 416 genotypes, including 335 landrace of Iran, 1 ICARDA genotype, and 78 ICRISAT genotypes, along with two checks named Kaka and Pirouz cultivars in the experimental farm of the Dryland Agricultural Research Institute (Kermanshah). The cultivars were evaluated in terms of morphological-agronomic traits, including the number of days to flowering, the number of main branches, the number of secondary branches, the number of pods per plant, plant height, the end number of days to maturity, seed yield, and 100-seed weight (HSW). The experiment was conducted during 2020-2021 under autumn sowing conditions and as an augmentation based on a randomized complete block design with nine blocks. The variance, heritability, and genetic advance were analyzed with the R software packages (augmentedRCBD). The R software package (metan) and (GGEBiplotGUI) were used for the biplot analysis of the genotype by trait. Data were grouped using the K-mean algorithm, single method, and Euclidean distance with R software. The R software package (NbClust) was used to calculate the number of appropriate groups resulting from the cluster analysis. Using the R software package (metan) with the selection index (MGIDI), the top genotypes were ranked based on several traits. Results: The results of the analysis of variance were significant for the number of days to maturity, HSW, and plant height. The highest and the lowest coefficients of variation belonged to the number of secondary branches and days to maturity, respectively. The plant height and HSW traits had high values of heritability and genetic advancement. According to the results of the genotype by trait biplot, genotypes 148, 327, 391, and 277 were in the best conditions in terms of HSW, days to maturity, plant height, and days to flowering. Genotypes 6, 400, 18, 42, 26, 168, 15, and 2 were in the best conditions for the number of pods per plant, seed yield, the number of main branches, and the number of secondary branches per plant. According to the findings of the genotype by trait biplot, most of the selected genotypes were from the landrace of the Iranian chickpea. Clustering was performed using the K-means method, which divided the genotypes into two groups. In the second group, genotypes 6, 18, 148, 327, and 91 had more distances (according to the center of the group) than the other genotypes. Then, 62 genotypes were ranked as the best genotypes in terms of all traits using the MGIDI index. Conclusion: The high genetic diversity of the traits studied in this research indicates the possibility of selection among the genotypes. Plant height and HSW traits have high heritability and genetic advance values, indicating the additive effects of the gene. In studies of the Desi chickpea populations, the breeding method of selection can be used to improve these traits. According to the biplot results, the number of pods per plant had important effects on seed yield in autumn sowing conditions, and it is important in terms of selecting genotypes related to the desired traits. On the other hand, the weight of HSW had a high correlation with the plant height in the Desi chickpea, which is very important in the mechanical harvesting of chickpeas. The superior genotypes selected in this research can be used as parents in future breeding programs of the Desi chickpea under autumn cultivation conditions.