Genetic Diversity, Population Structure and Subset Development in a Sesbania sesban Collection

cg.authorship.typesCGIAR and advanced research instituteen
cg.contributor.affiliationInternational Livestock Research Instituteen
cg.contributor.affiliationUniversity of Floridaen
cg.contributor.affiliationPacific Communityen
cg.contributor.crpLivestock
cg.contributor.crpGenebanks
cg.creator.identifierChris Jones: 0000-0001-9096-9728en
cg.creator.identifierAlemayehu Teressa Negawo: 0000-0001-8974-5321en
cg.creator.identifierErmias Haile: 0000-0003-4391-6185en
cg.creator.identifierAlice Muchugi: 0000-0002-8901-1376en
cg.creator.identifierMeki Muktar: 0000-0003-4750-8031en
cg.identifier.doihttps://doi.org/10.3390/plants12010013en
cg.issn2223-7747en
cg.issue1en
cg.journalPlantsen
cg.subject.ilriAGRICULTUREen
cg.subject.ilriANIMAL FEEDINGen
cg.subject.ilriFEEDSen
cg.subject.ilriFODDERen
cg.subject.ilriFORAGESen
cg.volume12en
dc.contributor.authorNegawo, Alemayehu T.en
dc.contributor.authorAkinmade, Habib Olumideen
dc.contributor.authorMuktar, Meki S.en
dc.contributor.authorHabte, Ermiasen
dc.contributor.authorAssefa, Yilikalen
dc.contributor.authorMuchugi, Aliceen
dc.contributor.authorSartie, Alieuen
dc.contributor.authorJones, Christopher S.en
dc.date.accessioned2023-01-04T12:38:08Zen
dc.date.available2023-01-04T12:38:08Zen
dc.identifier.urihttps://hdl.handle.net/10568/126549
dc.titleGenetic Diversity, Population Structure and Subset Development in a Sesbania sesban Collectionen
dcterms.abstractSesbania sesban (L.) Merr. is a multipurpose legume tree grown primarily for fodder and forage in the tropical and subtropical world. In this study, the Sesbania sesban collection maintained in the International Livestock Research Institute (ILRI) forage Genebank was studied using genome-wide markers generated on the DArTseq platform. Genotyping produced 84,673 and 60,626 SNP and SilicoDArT markers with a mean polymorphic information content of 0.153 and 0.123, respectively. From the generated markers, 7587 and 15,031 highly informative SNP and SilicoDArT markers, respectively, were filtered and used for genetic diversity analysis and subset development. Analysis of molecular variance (AMOVA) revealed higher variability ‘within’ (52.73% for SNP markers and 67.36% for SilicoDArT markers) than ‘between’ accessions. Hierarchical cluster analysis showed the presence of four main clusters in the collection. Mantel correlation analysis showed a lack of relationship between genetic variation of the germplasm and their geographical origin. A representative subset of 34 accessions containing germplasm from diverse origins and agro-ecologies was developed using SNP markers. The genetic diversity information generated in this study could be used for marker-assisted screening for stress tolerance, gap analysis and identification and acquisition of new distinct genotype(s) to broaden the genetic basis of the collection for future improvement programs to develop high-yielding, stress-tolerant varieties for enhancing food and environmental security in crop–livestock-based production systems.en
dcterms.accessRightsOpen Access
dcterms.audienceScientistsen
dcterms.available2022-12-20en
dcterms.bibliographicCitationNegawo, A.T., Akinmade, H.O., Muktar, M.S.; Habte, E., Assefa, Y., Muchugi, A., Sartie, A.M. and Jones, C.S. 2023. Genetic Diversity, Population Structure and Subset Development in a Sesbania sesban Collection. Plants 2023, 12, 13en
dcterms.issued2022-12-20en
dcterms.languageen
dcterms.licenseCC-BY-4.0
dcterms.publisherMDPIen
dcterms.subjectdartseqen
dcterms.subjectgenetic diversityen
dcterms.subjectsesbania sesbanen
dcterms.subjectsubseten
dcterms.typeJournal Article

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