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Genetic diversity, population structure and key phenotypic traits driving variation within soyabean (Glycine max) collection in Ghana

dc.contributor.authorDenwar, N.N.
dc.contributor.authorAwuku, F.J.
dc.contributor.authorDiers, B.
dc.contributor.authorAddae‐Frimpomaah, F.
dc.contributor.authorChigeza, G.
dc.contributor.authorOteng‐Frimpong, R.
dc.contributor.authorPuozaa, D.K.
dc.contributor.authorBarnor, M.T.
dc.date.accessioned2019-12-04T11:33:46Z
dc.date.available2019-12-04T11:33:46Z
dc.date.issued2019
dc.identifier.citationDenwar, N.N., Awuku, F.J., Diers, B., Addae‐Frimpomaah, F., Chigeza, G., Oteng‐Frimpong, R., ... & Barnor, M.T. (2019). Genetic diversity, population structure and key phenotypic traits driving variation within soyabean (Glycine max) collection in Ghana. Plant Breeding, 1-11.
dc.identifier.issn0179-9541
dc.identifier.urihttps://hdl.handle.net/20.500.12478/5801
dc.descriptionPublished online: 30 April 2019
dc.description.abstractSoybean [Glycine max (L.) Merrill] is an important oilseed crop worldwide and it has recently become the crop of interest in Ghana. In this study, 142 soybean accessions were genotyped with 34 SSR markers and concurrently evaluated for five quantitative and two qualitative phenotypic traits. Twenty‐nine of the SSR markers were polymorphic with mean allele number of 5.3, polymorphic information content (PIC) of 0.51 and gene diversity of 0.55. Molecular analysis based on unweighted paired group arithmetic mean (UPGMA) clustering and principal coordinate analysis (PCoA) was similar in explaining the extent of diversity within the accessions. Structure analysis placed most of the accessions into two subpopulations with 18 (12.7%) as admixtures. Principal component analysis (PCA) based on phenotypic traits revealed two clusters. Both UPGMA clustering‐based SSR data and PCA from phenotypic data showed similar results. The assembled germplasm is genetically diverse with high variation in flowering and maturity period, and key yield components which could be exploited in developing superior varieties well adapted to Ghana and West Africa.
dc.description.sponsorshipUnited States Agency for International Development
dc.format.extent1-11
dc.language.isoen
dc.rightsCopyrighted; all rights reserved
dc.subjectGenes
dc.subjectGermplasm
dc.subjectMaturity
dc.subjectPopulation Structure
dc.subjectSoybeans
dc.subjectGenotypes
dc.subjectSsrna Viruses
dc.subjectGenetic Diversity
dc.subjectPhenotypic Variation
dc.titleGenetic diversity, population structure and key phenotypic traits driving variation within soyabean (Glycine max) collection in Ghana
dc.typeJournal Article
dc.description.versionPeer Review
cg.contributor.affiliationCouncil for Scientific and Industrial Research, Ghana
cg.contributor.affiliationUniversity of Illinois
cg.contributor.affiliationInternational Institute of Tropical Agriculture
cg.contributor.affiliationWest Africa Centre for Crop Improvement
cg.coverage.regionAfrica
cg.coverage.regionWest Africa
cg.coverage.countryGhana
cg.creator.identifierGodfree Chigeza: 0000-0002-9235-0694
cg.isijournalISI Journal
cg.authorship.typesCGIAR and developing country institute
cg.iitasubjectGenetic Improvement
cg.iitasubjectGrain Legumes
cg.iitasubjectPlant Genetic Resources
cg.iitasubjectSoybean
cg.journalPlant Breeding
cg.howpublishedFormally Published
cg.accessibilitystatusLimited Access
local.dspaceid105192
cg.targetaudienceScientists
cg.identifier.doihttps://dx.doi.org/10.1111/pbr.12700


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