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Analysis of population structure and genetic diversity in a Southern African soybean collection based on single nucleotide polymorphism markers

dc.contributor.authorTsindi, A.
dc.contributor.authorEleblu, J.S.Y.
dc.contributor.authorGasura, E.
dc.contributor.authorMushoriwa, H.
dc.contributor.authorTongoona, P.
dc.contributor.authorDanquah, E.
dc.contributor.authorMwadzingeni, L.
dc.contributor.authorZikhali, M.
dc.contributor.authorZiramba, E.
dc.contributor.authorMabuyaye, G.
dc.contributor.authorDerera, J.
dc.date.accessioned2023-07-04T15:01:15Z
dc.date.available2023-07-04T15:01:15Z
dc.date.issued2023
dc.identifier.citationTsindi, A., Eleblu, J.S.Y., Gasura, E., Mushoriwa, H., Tongoona, P., Danquah, E., ... & Derera, J. (2023). Analysis of population structure and genetic diversity in a Southern African soybean collection based on single nucleotide polymorphism markers. CABI Agriculture and Bioscience, 4(1): 15, 1-14.
dc.identifier.issn2662-4044
dc.identifier.urihttps://hdl.handle.net/20.500.12478/8225
dc.description.abstractSoybean is an emerging strategic crop for nutrition, food security, and livestock feed in Africa, but improvement of its productivity is hampered by low genetic diversity. There is need for broadening the tropical germplasm base through incorporation and introgression of temperate germplasm in Southern Africa breeding programs. Therefore, this study was conducted to determine the population structure and molecular diversity among 180 temperate and 30 tropical soybean accessions using single nucleotide polymorphism (SNP) markers. The results revealed very low levels of molecular diversity among the 210 lines with implications for the breeding strategy. Low fixation index (FST) value of 0.06 was observed, indicating low genetic differences among populations. This suggests high genetic exchange among different lines due to global germplasm sharing. Inference based on three tools, such as the Evanno method, silhouette plots and UPMGA phylogenetic tree showed the existence of three sub-populations. The UPMGA tree showed that the first sub-cluster is composed of three genotypes, the second cluster has two genotypes, while the rest of the genotypes constituted the third cluster. The third cluster revealed low variation among most genotypes. Negligible differences were observed among some of the lines, such as Tachiyukata and Yougestu, indicating sharing of common parental backgrounds. However large phenotypic differences were observed among the accessions suggesting that there is potential for their utilization in the breeding programs. Rapid phenotyping revealed grain yield potential ranging from one to five tons per hectare for the 200 non-genetically modified accessions. Findings from this study will inform the crossing strategy for the subtropical soybean breeding programs. Innovation strategies for improving genetic variability in the germplasm collection, such as investments in pre-breeding, increasing the geographic sources of introductions and exploitation of mutation breeding would be recommended to enhance genetic gain.
dc.description.sponsorshipGerman Academic Exchange Service
dc.format.extent1-14
dc.language.isoen
dc.subjectGlycine Max
dc.subjectBiodiversity
dc.subjectPhenotyping
dc.subjectPopulation Structure
dc.subjectSingle Nucleotide Polymorphism
dc.subjectGrain Legumes
dc.subjectSoybeans
dc.titleAnalysis of population structure and genetic diversity in a Southern African soybean collection based on single nucleotide polymorphism markers
dc.typeJournal Article
cg.contributor.crpGrain Legumes
cg.contributor.affiliationUniversity of Ghana
cg.contributor.affiliationUniversity of Zimbabwe
cg.contributor.affiliationInternational Crops Research Institute for the Semi-Arid Tropics
cg.contributor.affiliationSeed Co Limited, Rattray Arnold Research Station, Zimbabwe
cg.contributor.affiliationInternational Institute of Tropical Agriculture
cg.coverage.regionAfrica
cg.coverage.regionSouthern Africa
cg.coverage.countryZimbabwe
cg.coverage.hubHeadquarters and Western Africa Hub
cg.researchthemeBiotech and Plant Breeding
cg.identifier.bibtexciteidTSINDI:2023
cg.isijournalISI Journal
cg.authorship.typesCGIAR and developing country institute
cg.iitasubjectAgronomy
cg.iitasubjectBiodiversity
cg.iitasubjectFood Security
cg.iitasubjectGrain Legumes
cg.iitasubjectPlant Breeding
cg.iitasubjectPlant Production
cg.iitasubjectSoybean
cg.journalCABI Agriculture and Bioscience
cg.notesOpen Access Journal; Published online: 30 May 2023
cg.accessibilitystatusOpen Access
cg.reviewstatusPeer Review
cg.usagerightslicenseCreative Commons Attribution 4.0 (CC BY 0.0)
cg.targetaudienceScientists
cg.identifier.doihttps://doi.org/10.1186/s43170-023-00158-2
cg.iitaauthor.identifierJohn Derera: 0000-0003-3715-0689
cg.futureupdate.requiredNo
cg.identifier.issue1: 15
cg.identifier.volume4


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