| dc.contributor.author | Badu-Apraku, B. |
| dc.contributor.author | Adewale, S.A. |
| dc.contributor.author | Agre, P.A. |
| dc.contributor.author | Gedil, M. |
| dc.contributor.author | Toyinbo, J.O. |
| dc.contributor.author | Asiedu, R. |
| dc.date.accessioned | 2022-09-08T09:23:30Z |
| dc.date.available | 2022-09-08T09:23:30Z |
| dc.date.issued | 2020 |
| dc.identifier.citation | Badu-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.issn | 1932-6203 |
| dc.identifier.uri | https://hdl.handle.net/20.500.12478/7721 |
| dc.description.abstract | Striga 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.sponsorship | Bill & Melinda Gates Foundation |
| dc.format.extent | 1-20 |
| dc.language.iso | en |
| dc.subject | Maize |
| dc.subject | Food Security |
| dc.subject | Nutrition |
| dc.subject | Striga Hermonthica |
| dc.subject | Quantitative Trait Loci |
| dc.subject | Yields |
| dc.title | Identification of QTLs for grain yield and other traits in tropical maize under Striga infestation |
| dc.type | Journal Article |
| cg.contributor.crp | Maize |
| cg.contributor.crp | Roots, Tubers and Bananas |
| cg.contributor.affiliation | International Institute of Tropical Agriculture |
| cg.coverage.region | Africa |
| cg.coverage.region | West Africa |
| cg.coverage.country | Nigeria |
| cg.coverage.hub | Headquarters and Western Africa Hub |
| cg.researchtheme | Biotech and Plant Breeding |
| cg.identifier.bibtexciteid | BADUAPRAKU:2020c |
| cg.isijournal | ISI Journal |
| cg.authorship.types | CGIAR Single Centre |
| cg.iitasubject | Agronomy |
| cg.iitasubject | Maize |
| cg.iitasubject | Plant Breeding |
| cg.iitasubject | Plant Diseases |
| cg.iitasubject | Plant Production |
| cg.journal | PLOS ONE |
| cg.notes | Published online: 14 Sept 2020 |
| cg.accessibilitystatus | Open Access |
| cg.reviewstatus | Peer Review |
| cg.usagerightslicense | Creative Commons Attribution 4.0 (CC BY 0.0) |
| cg.targetaudience | Scientists |
| cg.identifier.doi | https://dx.doi.org/10.1371/journal.pone.0239205 |
| cg.iitaauthor.identifier | BAFFOUR BADU-APRAKU: 0000-0003-0113-5487 |
| cg.iitaauthor.identifier | Paterne AGRE: 0000-0003-1231-2530 |
| cg.iitaauthor.identifier | Melaku Gedil: 0000-0002-6258-6014 |
| cg.iitaauthor.identifier | Robert Asiedu: 0000-0001-8943-2376 |
| cg.futureupdate.required | No |
| cg.identifier.issue | 9 |
| cg.identifier.volume | 15 |
