Wheat is the major source of energy, protein and fibers in human nutrition and is the most important crop in the world. Wild relatives of cultivated wheats are potential sources of valuable genetic materials for wheat improvement. This study was conducted to assess genetic diversity of 31 wheat accessions belonging to Triticum and Aegilops species using morphological traits and AFLP marker. The used genotypes of Triticum species included four synthetic hexaploid wheat, two bread and one durum wheat cultivars. Wild species had two hexaploid, five tetraploid and sixteen diploid accessions. Twenty-six morphological traits comprising awn color, glum color, grain color, anther color, leaf based color, auricl color, culm color, tip leaf necrosis, leaf waxiness, hairy glum, hairy flag leaf, hairy node, pubescence, hairy peduncle, hairy leaf, hairy spike neck, hairy auricle, hairy inter node, days to jointing, days to heading, awn length, glum length, plant height, flag leaf length were used. Fourteen primer combinations ( Mse I: Pst I), were used in AFLP procedure. Considerable diversity was observed for morphological traits in wheat accessions. Cluster analysis was performed with Dice coefficient followed by UPGMA algorithm and revealed eight major groups. Group 2 had the highest number of accessions while groups 3, 4 and 7 contained the least number of accessions. From view point of diversity within group, second and fifth group each of which having three different species were the most diverse groups. Similarity coefficients possessed a range of 0.18 to 1 and an average of 0.54. Greatest Two accessions of T. monococcum . boeoticum were the most related having coefficient of similarity of 1 and Ae. cylindrical and T. dicocoides species were the most distantly related. In an average molecular experiment, similarity coefficients possessed a range of 0.12 to 0.57. The highest genetic similarity (0.57), observed between two species of Ae. crassa , and the least one(0.11) was between Ae. glabra and T. monococcum that collected from Lorestan province. Cluster analysis was performed using Jaccard similarity coefficient followed by UPGMA algorithm and revealed two major groups. First group, included T. monococcum, T. dicoccum, and T. dicoccoides species that contained forty-one percentage of total accessions. Second group included whole of Aegilops accessions, synthetic wheats and wheat cultivars. Finally, cluster analysis was performed with combining AFLP marker and morphological traits data applying in same matrixand differentiated genotypes into two major groups. First group, included T. monococcum, T. dicoccum, and T. dicoccoides species and the remaining accessions located in the second group. Furthermore, cutting cluster in 0.32