Estimating Genetic Similarity in Sesame Accessions Based on Morphological, Agronomic, and Molecular Descriptors

Authors:Deacon Gilliam, Jasmin Youn


Grouping methods are the most commonly used, as long as they can add criteria that show similarity in behavior patterns related to character sets according to certain criteria. In this study, we used a multivariate method to estimate the genetic similarity of sesame germplasm based on morphology, agronomy and molecular descriptors. For the analysis, 36 sesame deposits in the Embrapa genebank were used. Five plants (morphological variables) selected in the center row after germination and about 60 days out of about 90 days (agronomic variables) were evaluated. As shown in the results, molecular markers and morphological agronomic markers can effectively estimate the variability between sesame germplasm, and can identify the most similar markers (ABG 591, ABG 616, ABG 649, ABG 141, and ABG 688) and have the largest differences (ABG 648 and ABG 200) genotypes.

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