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Knowledge about the amount of genetic diversity and understanding relationship between genotypes are important steps in plant germplasm conservation and breeding activities. In this study, the genetic diversity among 106 sunflower lines was assessed by 30 microsatellite primers. A total of 71 alleles were detected. Number of alleles in microssatellite loci ranged from 2 to 4 with the average number of 2.207 alleles per locus. The effective number of alleles ranged from 1.058 in locus ORS718 to 3.147 in locus HA3040. The average number of effective alleles was 1.641. The mean of PIC value was 0.344. Based on allele number and PIC value, SSR loci such as HA3040 and ORS733 are considered appropriate markers for studying genetic diversity in oily sunflower. Based on the results of cluster analysis using Jaccard's similarity coefficient and complete algorithm, the lines were grouped into four groups. Nineteen six out of 106 genotypes were grouped according to their origins (research centers). The highest and lowest Nei genetic distances were 0.21 and 0.004 between “NOVARTIS and HUNGARY” and “SPII with ENSAT and INRA-MONTPOL” groups, respectively. Analysis of the population structure revealed 5 subpopulations in the studied panel. The results show that the assignment of lines to subpopulations is not concordance with their geographical distribution pattern. The genetic diversity and distance revealed by SSR markers can be used in oily sunflower crossing and breeding programs

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Oilseed rape (Brassica nupus L), a member of Brassicaceae family, is an important crop regarding oil production worldwide. Brassicaceae is an economically important family of flowering plants with about 350 genera and more than 3000 species. Eleven pairs of single sequence repeat (SSR) primers were used to identify the genetic diversity among 21 oilseed rape genotypes. Results of SSR molecular marker analysis revealed that SSR primers produced a total number of 76 scorable bands of which 46 (60.5%) bands were polymorphics. The average number of bands for each primer and genotype was 6.9 and 3.6, respectively. Both CB10036B and Na10A09 primers produced 10 and Cb10403 primer produced 4 polymorphic bands, respectively. UPGMA cluster analysis based on Dice similarity matrix showed that Zarfam and Gerinimo genotypes had the highest (0.99%) and Licord and KS-11 genotypes had the lowest (0.72%) similarity. Both Iranian and foreign genotypes were grouped together in one major cluster, indicating presumably they may have the same origin and/or common pedigree. Results of AMOVA analysis within and between groups (spring – Autumn) revealed that almost 97% of total genetic diversity belonged to within group genotypes. 

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water stress and, in this regard, it is necessary to improve rice cultivars to tolerance to environmental stresses. In this research 154 recombinant inbred lines (F9) derived from a cross between Shah-Pasand and IR28 in three conditions (non-stress, osmotic stress -0.3 and -0.6 Mpa induced through polyethylene glycol-6000) were evaluated as a factorial experiment in randomized complete block design. In addition, for molecular polymorphism experiment, 110 SSR and EST-SSR markers were assessed on parents of population and among them, 41 markers identified which had proper polymorphism between two parents. The regression analysis between germination components and molecular markers revealed the most coefficient of determination were found in RM211 for allometric coefficient (17%) under non-stress, RMES10-1 for Plumule dry weight (18%) under -0.3 MPa; and RM273 for germination uniformity (22.7%) under -0.6 MPa. RM3496, RM452, and RMES6-1 in three conditions had the most number of significant relationships with six, three and eight traits, respectively, and they can be a suitable candidate for simultaneous improvement of several traits in breeding programs of marker-assisted selection. In addition, after the identification of significant markers associated with germination components, the closest genes to these markers were identified using bioinformatic analysis, and the analysis of their expression were performed by rice transcriptome database. According to the results, the maximum gene expression pattern under drought stress and under non-stress conditions were related to loci LOC_Os01g57220 and LOC_Os01g26039, respectively and this information could be applied in breeding programs.