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Yield Evaluation and Genetic Variability Assessment in Sesame (Sesamum Indicum L.) Mutant Population Using Morphological Characters and Simple Sequence Repeat (SSR) Markers| Abstract
ISSN: 2329-8863

Advances in Crop Science and Technology
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  • Research Article   
  • Adv Crop Sci Tech 12: 656,

Yield Evaluation and Genetic Variability Assessment in Sesame (Sesamum Indicum L.) Mutant Population Using Morphological Characters and Simple Sequence Repeat (SSR) Markers

Dagmawi Belete Asfaw1* and Tamene Milkessa Jiru2
1Academic and researcher at Dilla University, Ethiopia
2Institute of Biotechnology University of Gondar, Ethiopia
*Corresponding Author : Dagmawi Belete Asfaw, Academic and researcher at Dilla University, Ethiopia, Email: dbelete392@gmail.com

Received Date: Jan 02, 2024 / Published Date: Jan 30, 2024

Abstract

he assessment of genetic variability is of utmost importance in crop improvement and the conservation of genetic resources. In the current study, two high-yielding sesame cultivars, namely SI 10 and SI 04, were subjected to treatment with ethyl methane sulphonate (EMS) mutagens. Four different concentrations of EMS (0.5%, 1.0%, 1.5%, and 2.0%) were applied to both cultivars. In this study we aimed to evaluate the genetic variability in a mutant population of sesame (Sesamum indicum L.) by employing morphological characters and Simple Sequence Repeat (SSR) markers. The morphological data collected were analyzed using R 4.2.2 software. Analysis of variance revealed significant differences (P=0.05) among most of the morphological traits. Notably, the mutant lines C1P18 SI 10, C3P06 SI 10, C4P10 SI 04, C4P13 SI 04, C1P10 SI 04, C1P18 SI 10, and C2P02 SI 10 exhibited the highest production of capsules per plant and seeds per capsule, indirectly indicating their potential as superior yielders. Furthermore, molecular genetic variation was assessed using twenty-eight SSR markers that were widely distributed across the sesame genome to characterize the mutants. Seventeen out of the 28 primers exhibited polymorphism. Cluster analyses, employing the Euclidean similarity test and a complete link clustering method, were performed to construct a dendrogram based on the morphological data. The mutants were clustered into two major groups and two minor groups. In contrast, the SSR marker-based dendrogram clustering resulted in the discovery of two major clusters, A and B, with a similarity index of 79%. The mutants from both genotypes displayed a diversity range of 10-20% based on the SSR markers, whereas morphological characterization revealed a diversity range of 10 to 51.2%. This study concluded that SSR markers provided a more accurate representation of the true variability in the mutants compared to morphological characterization. Moreover, the use of a lower concentration of EMS (0.5%), which does not cause chromosomal damage, appeared to be more effective in increasing variability in sesame. In summary, this study highlighted the importance of assessing genetic variability in sesame mutants using both morphological and molecular approaches. The findings shed light on the potential for improving sesame crops through the selection of promising mutants and the utilization of SSR markers for accurate characterization of genetic diversity

Citation: Asfaw DB, Jiru TM (2024) Yield Evaluation and Genetic VariabilityAssessment in Sesame (Sesamum Indicum L.) Mutant Population UsingMorphological Characters and Simple Sequence Repeat (SSR) Markers. Adv CropSci Tech 12: 656.

Copyright: © 2024 Asfaw DB, et al. This is an open-access article distributed underthe terms of the Creative Commons Attribution License, which permits unrestricteduse, distribution, and reproduction in any medium, provided the original author andsource are credited.

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