Towards the Selection of Superior Sesame Lines Based on Genetic and Phenotypic Characterisation for Uganda

Walter Okello-Anyanga, Karin Hansel-Hohl, Agnes Burg, Stephan Gaubitzer, Patrick R. Rubaihayo, Johann Vollmann, Paul T. Gibson, Silvia Fluch, Eva M. Sehr

Abstract


Understanding agricultural biodiversity is critical to formulate breeding strategies for crop improvement and it impacts both, conservation and collection activities. Especially germplasm collections serve as valuable resources, thus, their adequate characterisation is of utmost importance. Although Uganda ranks seventh in African sesame production, meagre research was conducted to determine the current genetic diversity among its germplasm. Therefore, in the present study part of the sesame germplasm conserved at the National Semi-Arid Resources Research Institute (NaSARRI) in Uganda focusing on 85 established lines was genetically and phenotypically characterised. Population genetic and structure analyses revealed rather a low extend of genetic diversity (expected heterozygosity [HE], or gene diversity [D]) ranging from 0 to 0.38 per entry, but a high extend of admixture within and between entries. This decrease of heterozygosity is supported by a fixation index (FST) of 0.530, indicating a medium genetic differentiation among entries. The analysis of quantitative and qualitative agromorphological traits revealed a great inter-trait variability among the entries and further indicated a certain conservation of some of the traits reflecting the geographic origin of the analysed entries. Based on both, the genetic and phenotypic characterisation, a selection of 26 superior entries is proposed, which may form a valuable basis both for farmers and breeders.


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DOI: https://doi.org/10.5539/jas.v9n9p13

Copyright (c) 2017 Walter Okello-Anyanga, Karin Hansel-Hohl, Agnes Burg, Stephan Gaubitzer, Patrick R. Rubaihayo, Patrick Okori, Johann Vollmann, Paul T. Gibson, Silvia Fluch, Eva M. Sehr

License URL: http://creativecommons.org/licenses/by/4.0

Journal of Agricultural Science   ISSN 1916-9752 (Print)   ISSN 1916-9760 (Online)  E-mail: jas@ccsenet.org

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