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dc.contributor.authorStanley, A.
dc.contributor.authorMenkir, A.
dc.contributor.authorAgre, P.
dc.contributor.authorIfie, B.
dc.contributor.authorTongoona, P.
dc.contributor.authorUnachukwu, N.
dc.contributor.authorMeseka, S.
dc.contributor.authorMengesha Abera, W.
dc.contributor.authorGedil, M.
dc.date.accessioned2021-01-22T11:38:56Z
dc.date.available2021-01-22T11:38:56Z
dc.date.issued2020
dc.identifier.citationStanley, A., Menkir, A., Agre, P., Ifie, B., Tongoona, P., Unachukwu, N., ... & Gedil, M. (2020). Genetic diversity and population structure of maize inbred lines with varying levels of resistance to striga hermonthica using agronomic trait-based and SNP markers. Plants, 9(9), 1223: 1-18.
dc.identifier.issn2223-7747
dc.identifier.urihttps://hdl.handle.net/20.500.12478/7017
dc.description.abstractStriga hermonthica is a serious biotic stress limiting maize production in sub-Saharan Africa. The limited information on the patterns of genetic diversity among maize inbred lines derived from source germplasm with mixed genetic backgrounds limits the development of inbred lines, hybrids, and synthetics with durable resistance to S. hermonthica. This study was conducted to assess the level of genetic diversity in a panel of 150 diverse maize inbred lines using agronomic and molecular data and also to infer the population structure among the inbred lines. Ten Striga-resistance-related traits were used for the phenotypic characterization, and 16,735 high-quality single-nucleotide polymorphisms (SNPs), identified by genotyping-by-sequencing (GBS), were used for molecular diversity. The phenotypic and molecular hierarchical cluster analyses grouped the inbred lines into five clusters, respectively. However, the grouping patterns between the phenotypic and molecular hierarchical cluster analyses were inconsistent due to non-overlapping information between the phenotypic and molecular data. The correlation between the phenotypic and molecular diversity matrices was very low (0.001), which is in agreement with the inconsistencies observed between the clusters formed by the phenotypic and molecular diversity analyses. The joint phenotypic and genotypic diversity matrices grouped the inbred lines into three groups based on their reaction patterns to S. hermonthica, and this was able to exploit a broad estimate of the actual diversity among the inbred lines. The joint analysis shows an invaluable insight for measuring genetic diversity in the evaluated materials. The result indicates that wide genetic variability exists among the inbred lines and that the joint diversity analysis can be utilized to reliably assign the inbred lines into heterotic groups and also to enhance the level of resistance to Striga in new maize varieties.
dc.description.sponsorshipDeutscher Akademischer Austauschdienst
dc.description.sponsorshipBill & Melinda Gates Foundation
dc.format.extent1-18
dc.language.isoen
dc.subjectGenetic Diversity
dc.subjectPopulation Structure
dc.subjectMaize
dc.subjectMarker Assisted Selection
dc.subjectStriga Hermonthica
dc.subjectSubsaharan Africa
dc.subjectInbred Lines
dc.titleGenetic diversity and population structure of maize inbred lines with varying levels of resistance to striga hermonthica using agronomic trait-based and SNP markers
dc.typeJournal Article
cg.contributor.crpMaize
cg.contributor.crpRoots, Tubers and Bananas
cg.contributor.affiliationUniversity of Ghana
cg.contributor.affiliationInternational Institute of Tropical Agriculture
cg.coverage.regionAfrica
cg.coverage.regionWest Africa
cg.coverage.countryNigeria
cg.coverage.hubHeadquarters and Western Africa Hub
cg.researchthemeBiotech and Plant Breeding
cg.identifier.bibtexciteidSTANLEY:2020
cg.isijournalISI Journal
cg.authorship.typesCGIAR and developing country institute
cg.iitasubjectAgronomy
cg.iitasubjectDisease Control
cg.iitasubjectFood Security
cg.iitasubjectGenetic Improvement
cg.iitasubjectMaize
cg.iitasubjectPlant Breeding
cg.iitasubjectPlant Diseases
cg.iitasubjectPlant Production
cg.iitasubjectSmallholder Farmers
cg.journalPlants
cg.notesOpen Access Journal; Published online: 17 Sept 2020
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/plants9091223
cg.iitaauthor.identifierAbebe Menkir: 0000-0002-5907-9177
cg.iitaauthor.identifierPaterne AGRE: 0000-0003-1231-2530
cg.iitaauthor.identifierSILVESTRO MESEKA: 0000-0003-1004-2450
cg.iitaauthor.identifierWende Mengesha: 0000-0002-2239-7323
cg.iitaauthor.identifierMelaku Gedil: 0000-0002-6258-6014
cg.futureupdate.requiredNo


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