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Association analysis for resistance to Striga hermonthica in diverse tropical maize inbred lines

dc.contributor.authorStanley, A.E.
dc.contributor.authorMenkir, A.
dc.contributor.authorIfie, B.E.
dc.contributor.authorAgre, A.P.
dc.contributor.authorUnachukwu, N.N.
dc.contributor.authorMeseka, S.K.
dc.contributor.authorMengesha Abera, W.
dc.contributor.authorBossey, B.
dc.contributor.authorKwadwo, O.
dc.contributor.authorTongoona, P.
dc.contributor.authorOladejo, O.
dc.contributor.authorSneller, C.
dc.contributor.authorGedil, M.
dc.date.accessioned2022-03-07T11:59:34Z
dc.date.available2022-03-07T11:59:34Z
dc.date.issued2021-12-17
dc.identifier.citationStanley, A.E., Menkir, A., Ifie, B.E., Agre, A.P., Unachukwu, N.N., Meseka, S.K., ... & Gedil, M. (2021). Association analysis for resistance to Striga hermonthica in diverse tropical maize inbred lines. Scientific Reports, 11(1): 24193, 1-14.
dc.identifier.issn2045-2322
dc.identifier.urihttps://hdl.handle.net/20.500.12478/7378
dc.description.abstractStriga hermonthica is a widespread, destructive parasitic plant that causes substantial yield loss to maize productivity in sub-Saharan Africa. Under severe Striga infestation, yield losses can range from 60 to 100% resulting in abandonment of farmers’ lands. Diverse methods have been proposed for Striga management; however, host plant resistance was considered the most effective and affordable to small-scale famers. Thus, conducting a genome-wide association study to identify quantitative trait nucleotides controlling S. hermonthica resistance and mining of relevant candidate genes will expedite the improvement of Striga resistance breeding through marker-assisted breeding. For this study, 150 diverse maize inbred lines were evaluated under Striga infested and non-infested conditions for two years and genotyped using the genotyping-by-sequencing platform. Heritability estimates of Striga damage ratings, emerged Striga plants and grain yield, hereafter referred to as Striga resistance-related traits, were high under Striga infested condition. The mixed linear model (MLM) identifed thirty SNPs associated with the three Striga resistance-related traits based on the multi-locus approaches (mrMLM, FASTmrMLM, FASTmrEMMA and pLARmEB). These SNPs explained up to 14% of the total phenotypic variation. Under non-infested condition, four SNPs were associated with grain yield, and these SNPs explained up to 17% of the total phenotypic variation. Gene annotation of significant SNPs identified candidate genes (Leucine-rich repeats, putative disease resistance protein and VQ proteins) with functions related to plant growth, development, and defense mechanisms. The marker-effect prediction was able to identify alleles responsible for predicting high yield and low Striga damage rating in the breeding panel. This study provides valuable insight for marker validation and deployment for Striga resistance breeding in maize.
dc.description.sponsorshipDeutscher Akademischer Austauschdienst (DAAD)
dc.description.sponsorshipAfrica Centres of Excellence for Development Impact (ACE)
dc.description.sponsorshipBill and Melinda Gates Foundation
dc.format.extent1-14
dc.language.isoen
dc.subjectParasitic Plants
dc.subjectDrought
dc.subjectYields
dc.subjectFarmers
dc.subjectGenes
dc.subjectBreeding
dc.subjectGenotypes
dc.subjectMaize
dc.subjectStriga Hermonthica
dc.subjectPlant Growth
dc.subjectWeeds
dc.titleAssociation analysis for resistance to Striga hermonthica in diverse tropical maize inbred lines
dc.typeJournal Article
cg.contributor.crpMaize
cg.contributor.crpRoots, Tubers and Bananas
cg.contributor.affiliationInternational Institute of Tropical Agriculture
cg.contributor.affiliationUniversity of Ghana
cg.contributor.affiliationUniversity of KwaZulu-Natal
cg.contributor.affiliationInternational Livestock Research Institute
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:2021
cg.isijournalISI Journal
cg.authorship.typesCGIAR and developing country institute
cg.iitasubjectAgronomy
cg.iitasubjectFood Security
cg.iitasubjectGenetic Improvement
cg.iitasubjectLivelihoods
cg.iitasubjectMaize
cg.iitasubjectPests of Plants
cg.iitasubjectPlant Breeding
cg.iitasubjectPlant Diseases
cg.iitasubjectPlant Genetic Resources
cg.iitasubjectPlant Production
cg.iitasubjectSmallholder Farmers
cg.iitasubjectSoil Fertility
cg.iitasubjectWeeds
cg.journalScientific Reports
cg.notesOpen Access Journal; Published online: 17 Dec 2021
cg.accessibilitystatusOpen Access
cg.reviewstatusInternal Review
cg.usagerightslicenseCreative Commons Attribution 4.0 (CC BY 0.0)
cg.targetaudienceScientists
cg.identifier.doihttps://dx.doi.org/10.1038/s41598-021-03566-4
cg.iitaauthor.identifier0000-0002-5907-9177
cg.iitaauthor.identifier0000-0003-1231-2530
cg.iitaauthor.identifier0000-0003-1004-2450
cg.iitaauthor.identifier0000-0002-2239-7323
cg.iitaauthor.identifier0000-0002-6258-6014
cg.futureupdate.requiredNo
cg.identifier.issue24193
cg.identifier.volume11


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