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dc.contributor.authorBadu-Apraku, B.
dc.contributor.authorAdewale, S.A.
dc.contributor.authorAgre, P.A.
dc.contributor.authorGedil, M.
dc.contributor.authorToyinbo, J.O.
dc.contributor.authorAsiedu, R.
dc.date.accessioned2022-09-08T09:23:30Z
dc.date.available2022-09-08T09:23:30Z
dc.date.issued2020
dc.identifier.citationBadu-Apraku, B., Adewale, S., Paterne, A.A., Gedil, M., Toyinbo, J. & Asiedu, R. (2020). Identification of QTLs for grain yield and other traits in tropical maize under Striga infestation. PloS One, 15(9), e0239205: 1-20.
dc.identifier.issn1932-6203
dc.identifier.urihttps://hdl.handle.net/20.500.12478/7721
dc.description.abstractStriga is an important biotic factor limiting maize production in sub-Saharan Africa and can cause yield losses as high as 100%. Marker-assisted selection (MAS) approaches hold a great potential for improving Striga resistance but requires identification and use of markers associated with Striga resistance for adequate genetic gains from selection. However, there is no report on the discovery of quantitative trait loci (QTL) for resistance to Striga in maize under artificial field infestation. In the present study, 198 BC1S1 families obtained from a cross involving TZEEI 29 (Striga resistant inbred line) and TZEEI 23 (Striga susceptible inbred line) plus the two parental lines were screened under artificial Striga-infested conditions at two Striga-endemic locations in Nigeria in 2018, to identify QTL associated with Striga resistance indicator traits, including grain yield, ears per plant, Striga damage and number of emerged Striga plants. Genetic map was constructed using 1,386 DArTseq markers distributed across the 10 maize chromosomes, covering 2076 cM of the total genome with a mean spacing of 0.11 cM between the markers. Using composite interval mapping (CIM), fourteen QTL were identified for key Striga resistance/tolerance indicator traits: 3 QTL for grain yield, 4 for ears per plant and 7 for Striga damage at 10 weeks after planting (WAP), across environments. Putative candidate genes which encode major transcription factor families WRKY, bHLH, AP2-EREBPs, MYB, and bZIP involved in plant defense signaling were detected for Striga resistance/tolerance indicator traits. The QTL detected in the present study would be useful for rapid transfer of Striga resistance/tolerance genes into Striga susceptible but high yielding maize genotypes using MAS approaches after validation. Further studies on validation of the QTL in different genetic backgrounds and in different environments would help verify their reproducibility and effective use in breeding for Striga resistance/tolerance.
dc.description.sponsorshipBill & Melinda Gates Foundation
dc.format.extent1-20
dc.language.isoen
dc.subjectMaize
dc.subjectFood Security
dc.subjectNutrition
dc.subjectStriga Hermonthica
dc.subjectQuantitative Trait Loci
dc.subjectYields
dc.titleIdentification of QTLs for grain yield and other traits in tropical maize under Striga infestation
dc.typeJournal Article
cg.contributor.crpMaize
cg.contributor.crpRoots, Tubers and Bananas
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.bibtexciteidBADUAPRAKU:2020c
cg.isijournalISI Journal
cg.authorship.typesCGIAR Single Centre
cg.iitasubjectAgronomy
cg.iitasubjectMaize
cg.iitasubjectPlant Breeding
cg.iitasubjectPlant Diseases
cg.iitasubjectPlant Production
cg.journalPLOS ONE
cg.notesPublished online: 14 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/10.1371/journal.pone.0239205
cg.iitaauthor.identifierBAFFOUR BADU-APRAKU: 0000-0003-0113-5487
cg.iitaauthor.identifierPaterne AGRE: 0000-0003-1231-2530
cg.iitaauthor.identifierMelaku Gedil: 0000-0002-6258-6014
cg.iitaauthor.identifierRobert Asiedu: 0000-0001-8943-2376
cg.futureupdate.requiredNo
cg.identifier.issue9
cg.identifier.volume15


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