Wheat is one of the most important crops that produces more than 700 million tons and made significant amount of energy and protein needed by mankind. Given the ever-increasing population, efforts to improve the quality and quantity of wheat products are of particular importance. One of the most important basic requirements for breeding of wheat is available of genetic diversity, in which the evaluation of genetic diversity is important. For this purpose, 26 different genotypes including bread wheat, durum wheat and triticale genotypes were used in this study. This research was carried out in two parts: genetic diversity assessment and evaluation of grain quality traits. In the first part, microsatellite markers (SSRs) were used to evaluate the genetic diversity. Out of 44 pairs of primers used in the present study, 18 primers have a good polymorphism and have been analyzed. The results of this analysis showed that the primer Xcfa2076 followed up by Xwmc17 and Xwmc177 primers were more successful than other primers in detecting the genetic distance of the genotypes studied. On average, the PIC content of the used primers was 0.412, which is considered as moderate one. The results of cluster analysis with NTSYS pc 2.02 software with UPGMA procedure divided the genotypes examined into five groups, which supported by the results of the principal coordinates analysis (PCoA). The analysis of the primary coordinates for SSR markers showed that the first two components justify 57.41% of the total variation. The results of the second experiment in relation to grain quality traits such as protein content, Zeleny sedimentation value, water absorption, grain hardness, flour moisture and rapid mix test (RMT) were investigated. It should be noted that the samples of the seeds used in the second experiment were grown in two sites of Asheghabad, Isfahan and research farm of Isfahan University of Technology located in Lavark, Najaf-Abad. Results of comband analysis of variance showed a significant difference between the genotypes indicating presence of genetic diversity for grain quality traits. The results of mean comparisons quality traits showed that Long Spike 5 genotype was the superior genotype. In order to obtain a clearer picture of the diversity of traits, principle of components analysis was performed. Finally, clustering for each area was done by Ward method using Euclidean coefficient. Keywords : Wheat, Quality, Genetic diversity, Molecular marker, Genetic distance.