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dc.contributor.authorShaibu, A.S.
dc.contributor.authorIbrahim, H.
dc.contributor.authorMiko, Z.L.
dc.contributor.authorMohammed, I.B.
dc.contributor.authorMohammed, S.G.
dc.contributor.authorYusuf, H.L.
dc.contributor.authorKamara, A.
dc.contributor.authorOmoigui, L.
dc.contributor.authorKarikari, B.
dc.date.accessioned2022-05-20T15:29:01Z
dc.date.available2022-05-20T15:29:01Z
dc.date.issued2022
dc.identifier.citationShaibu, A.S., Ibrahim, H., Miko, Z.L., Mohammed, I.B., Mohammed, S.G., Yusuf, H.L., ... & Karikari, B. (2021). Assessment of the genetic structure and diversity of soybean (Glycine max L.) germplasm using diversity array technology and single nucleotide polymorphism markers. Plants, 11(1), 1-13.
dc.identifier.issn2223-7747
dc.identifier.urihttps://hdl.handle.net/20.500.12478/7473
dc.description.abstractKnowledge of the genetic structure and diversity of germplasm collections is crucial for sustainable genetic improvement through hybridization programs and rapid adaptation to changing breeding objectives. The objective of this study was to determine the genetic diversity and population structure of 281 International Institute of Tropical Agriculture (IITA) soybean accessions using diversity array technology (DArT) and single nucleotide polymorphism (SNP) markers for the efficient utilization of these accessions. From the results, the SNP and DArT markers were well distributed across the 20 soybean chromosomes. The cluster and principal component analyses revealed the genetic diversity among the 281 accessions by grouping them into two stratifications, a grouping that was also evident from the population structure analysis, which divided the 281 accessions into two distinct groups. The analysis of molecular variance revealed that 97% and 98% of the genetic variances using SNP and DArT markers, respectively, were within the population. Genetic diversity indices such as Shannon’s diversity index, diversity and unbiased diversity revealed the diversity among the different populations of the soybean accessions. The SNP and DArT markers used provided similar information on the structure, diversity and polymorphism of the accessions, which indicates the applicability of the DArT marker in genetic diversity studies. Our study provides information about the genetic structure and diversity of the IITA soybean accessions that will allow for the efficient utilization of these accessions in soybean improvement programs, especially in Africa.
dc.description.sponsorshipNigerian Tertiary Education Trust Fund
dc.format.extent1-13
dc.language.isoen
dc.subjectGenetic Diversity
dc.subjectPopulation Structure
dc.subjectSoybeans
dc.subjectDna
dc.subjectSingle Nucleotide Polymorphism
dc.subjectAfrica
dc.titleAssessment of the genetic structure and diversity of soybean (Glycine max L.) germplasm using diversity array technology and single nucleotide polymorphism markers
dc.typeJournal Article
cg.contributor.crpGrain Legumes
cg.contributor.crpMaize
cg.contributor.affiliationBayero University Kano
cg.contributor.affiliationInternational Institute of Tropical Agriculture
cg.contributor.affiliationUniversity for Development Studies, Ghana
cg.coverage.regionAfrica
cg.coverage.regionWest Africa
cg.coverage.countryNigeria
cg.coverage.hubHeadquarters and Western Africa Hub
cg.researchthemePlant Production and Health
cg.identifier.bibtexciteidSHAIBU:2022
cg.isijournalISI Journal
cg.authorship.typesCGIAR and developing country institute
cg.iitasubjectAgronomy
cg.iitasubjectFood Security
cg.iitasubjectGrain Legumes
cg.iitasubjectPlant Breeding
cg.iitasubjectPlant Health
cg.iitasubjectPlant Production
cg.iitasubjectSoybean
cg.journalPlants
cg.notesOpen Access Journal; Published online: 26 Dec 2021
cg.accessibilitystatusOpen Access
cg.reviewstatusPeer Review
cg.usagerightslicenseCreative Commons Attribution 4.0 (CC BY 0.0)
cg.targetaudienceScientists
cg.identifier.doihttps://dx.doi.org/10.3390/plants11010068
cg.iitaauthor.identifierAlpha Kamara: 0000-0002-1844-2574
cg.iitaauthor.identifierLucky Omoigui: 0000-0001-8473-2775
cg.futureupdate.requiredNo
cg.identifier.issue1
cg.identifier.volume11


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