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dc.contributor.authorYacoubou, A.M.
dc.contributor.authorWallis, Z.N.
dc.contributor.authorMenkir, A.
dc.contributor.authorZinsou, V.A.
dc.contributor.authorOnzo, A.
dc.contributor.authorGarcia‐Oliveira, A.L.
dc.contributor.authorMeseka, S.
dc.contributor.authorMengesha Abera, W.
dc.contributor.authorGedil, M.
dc.contributor.authorAgre, P.
dc.date.accessioned2022-09-19T09:51:18Z
dc.date.available2022-09-19T09:51:18Z
dc.date.issued2021-04
dc.identifier.citationYacoubou, A.M., Wallis, Z.N., Menkir, A., Zinsou, V.A., Onzo, A., Garcia‐Oliveira, A.L., ... & Agre, P. (2021). Breeding maize (Zea mays) for striga resistance: past, current and prospects in sub‐Saharan Africa. Plant Breeding, 140(2), 195-210.
dc.identifier.issn0179-9541
dc.identifier.urihttps://hdl.handle.net/20.500.12478/7768
dc.description.abstractStriga hermonthica, causes up to 100% yield loss in maize production in Sub‐Saharan Africa. Developing Striga‐resistant maize cultivars could be a major component of integrated Striga management strategies. This paper presents a comprehensive overview of maize breeding activities related to Striga resistance and its management. Scientific surveys have revealed that conventional breeding strategies have been used more than molecular breeding strategies in maize improvement for Striga resistance. Striga resistance genes are still under study in the International Institute for Tropical Agriculture (IITA) maize breeding programme. There is also a need to discover QTL and molecular markers associated with such genes to improve Striga resistance in maize. Marker Assistance Breeding is expected to increase maize breeding efficiency with complex traits such as resistance towards Striga because of the complex nature of the host‐parasite relationship and its intersection with other environmental factors. Conventional alongside molecular tools and technical controls are promising methods to effectively assess Striga in Sub‐Saharan Africa.
dc.description.sponsorshipBill & Melinda Gates Foundation
dc.format.extent195-210
dc.language.isoen
dc.subjectBreeding
dc.subjectMaize
dc.subjectQuantitative Trait Loci
dc.subjectDisease Resistance
dc.subjectStriga Hermonthica
dc.subjectNigeria
dc.titleBreeding maize (Zea mays) for striga resistance: past, current and prospects in sub-Saharan Africa
dc.typeJournal Article
cg.contributor.crpMaize
cg.contributor.affiliationUniversité de Parakou
cg.contributor.affiliationInternational Institute of Tropical Agriculture
cg.contributor.affiliationInstitut National des Recherches Agricoles du Bénin
cg.contributor.affiliationInternational Maize and Wheat Improvement Center
cg.coverage.regionAfrica
cg.coverage.regionWest Africa
cg.coverage.countryNigeria
cg.coverage.hubHeadquarters and Western Africa Hub
cg.researchthemeBiotech and Plant Breeding
cg.identifier.bibtexciteidYACOUBOU:2021
cg.isijournalISI Journal
cg.authorship.typesCGIAR and developing country institute
cg.iitasubjectAgronomy
cg.iitasubjectDisease Control
cg.iitasubjectFood Security
cg.iitasubjectMaize
cg.iitasubjectPlant Breeding
cg.iitasubjectPlant Production
cg.journalPlant Breeding
cg.notesPublished online: 01 Mar 2021
cg.accessibilitystatusOpen Access
cg.reviewstatusPeer Review
cg.usagerightslicenseCreative Commons Attribution 4.0 (CC BY 0.0)
cg.targetaudienceScientists
cg.identifier.doihttps://dx.doi.org/10.1111/pbr.12896
cg.iitaauthor.identifierAbebe Menkir: 0000-0002-5907-9177
cg.iitaauthor.identifierGarcia-Oliveira AL: 0000-0001-8561-4172
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.iitaauthor.identifierPaterne AGRE: 0000-0003-1231-2530
cg.futureupdate.requiredNo
cg.identifier.issue2
cg.identifier.volume140
cg.contributor.acknowledgementsLaboratoire de Phytotechnie, d'Amélioration et de Protection des Plantes (LaPAPP), Département des Sciences et Techniques de Production Végétale, Faculté d'Agronomie de l'Université de Parakou and the Stress Tolerant Maize for Africa Project are highly acknowledged. The authors express their appreciation to all scientist involved in the improvement of this manuscript. We acknowledge financial support for the Bill and Melinda Gates Foundation.


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