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Knowledge about the amount of genetic diversity and understanding relationship between species and landraces is an important step in plant germplasm conservation. In this study, within and between genetic diversity of 17 dill landraces (Anethum graveolens L.) from different areas of Iran was evaluated using five ISSR markers. In total, 29 polymorphic bands were generated. The average of polymorphism was 54.7%. The highest and the lowest values of Polymorphic Information Contents were 0.46 for ((CA)₈G primer) and 0.40 for ((AG)₈T primer), respectively, and with an average of 0.43. Based on the highest and the lowest indices of Polymorphic Loci (0.392 and 0.248), expected heterozygosity (93.10 and 62.07) and shannon's Information Index (0.567 and 0.360) between all populations, the highest and lowest genetic diversity was detected among Ardebil and Azarshahr genotypes, respectively. The genetic dissimilarity matrix showed that Sari and Kerman populations had the highest genetic distance and Ardabil and Borazjan populations had the lowest ones. Partitioning variations within and between populations, using an analysis of molecular variance (AMOVA), showed that 12% of the total genetic variation existed between growing regions. Cluster analysis based on UPGMA method showed a poor relationship between genetic distance and the geographical grouping of dills.

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In order to select the best parents for crossings, plant breeders seek varieties or genotypes with highest genetic dissimilarities. This can be achieved by measuring the similarities among genotypes, using multivariate analysis methods such as cluster analysis. This study aimed to group 50 aerobic and lowland rice genotypes based on biochemical characteristics including Iron, Zinc, Manganese and protein, and their linked DNA markers. According to the cluster analysis results using Ward method, the genotypes were assigned to four groups. The third group, as the smallest group including three genotypes (IR82635-B-B-82-2, Caiapo, and Gohar), had the highest value for these micronutrients. Their mean value for Iron, Zinc, Manganese, and protein were 32.39, 34.15, 25.66 mg/kg and 6.71%, respectively. Also, all genotypes were classified into two main groups based on microsatellite markers information, that according to QTL mapping studies these markers were identified as linked to elements. So, the most of non-local genotypes and aerobic rice cultivars were assigned in a separate group. The correlation between Euclidean distance of elements and protein matrix and genetic similarity matrix (Nie) using Mental correlation test was estimated significant (p<0.01) that can be evidence of a genetic relationship between the SSR markers and genome controlling regions of elements in this population.