In this study, we estimated genetic similarities and relationships among 46 maize inbred lines based on the allelic variability detected. One SSR primer was chosen from each corn chromosome and totally ten primers were assayed using the sample of 46 inbreds. The amplified products were separated using 6% polyacrylamide gel with 7 M urea under denaturing conditions. They were visualized by staining with silver nitrate and the gels were scored based on the presence or absence of bands. Polymorphism information content (PIC) for each SSR marker was determined. The number of alleles per locus ranged from 3 to 14. The 69 alleles identified served as raw data for estimating genetic similarities among those lines using the NTSYS program. The ten primers revealed 73% polymorphism rate. The 46 inbreds were clustered based on the matrix of genetic similarities (Jaccard)using the Complete Clustering algorithm. Cluster analysis placed the inbred lines in three clusters. The results showed that the microsattelite marker has a high degree of polymorphism that allows efficient identification of maize genotypes which could be used in determining heterotic groups and estimation of heterosis in hybrid production.