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

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dc.creatorStanley, A.E.
dc.creatorMenkir, A.
dc.creatorIfie, B.E.
dc.creatorAgre, A.P.
dc.creatorUnachukwu, N.N.
dc.creatorMeseka, S.K.
dc.creatorMengesha Abera, W.
dc.creatorBossey, B.
dc.creatorKwadwo, O.
dc.creatorTongoona, Pangirayi
dc.creatorOladejo, O.
dc.creatorSneller, C.
dc.creatorGedil, Melaku A
dc.date2021-12-17
dc.date2022-03-07T09:38:27Z
dc.date2022-03-07T09:38:27Z
dc.date.accessioned2026-06-27T15:59:34Z
dc.descriptionStriga 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 is 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.formatapplication/pdf
dc.identifierhttps://hdl.handle.net/10568/118344
dc.identifier.urihttp://hdl.handle.net/123456789/119460
dc.languageen
dc.publisherSpringer
dc.rightsOpen Access
dc.sourceStanley, 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.subjectparasitic plants
dc.subjectyields
dc.subjectfarmers
dc.subjectweeds
dc.subjectsoil
dc.subjectgenes
dc.subjectbreeding
dc.subjectseeds
dc.subjectgenotypes
dc.subjectstriga hermonthica
dc.subjectplant growth
dc.subjectmaize
dc.titleAssociation analysis for resistance to Striga hermonthica in diverse tropical maize inbred lines
dc.typeJournal Article

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Instituto Internacional de Agricultura Tropical (IITA)