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Efficacy of maize inbred testers with varying levels of resistance to Striga for classifying Striga-resistant yellow-maize lines into heterotic groups

dc.contributor.authorZebire, D.
dc.contributor.authorMenkir, A.
dc.contributor.authorAdetimirin, V.
dc.contributor.authorMengesha Abera, W.
dc.contributor.authorMeseka, S.K.
dc.contributor.authorGedil, M.
dc.date.accessioned2023-01-16T11:17:31Z
dc.date.available2023-01-16T11:17:31Z
dc.date.issued2021-09-23
dc.identifier.citationZebire, D., Menkir, A., Adetimirin, V., Mengesha, W., Meseka, S.K. & Gedil, M. (2021). Efficacy of maize inbred testers with varying levels of resistance to Striga for classifying Striga-resistant yellow-maize lines into heterotic groups. Journal of Crop Improvement, 36(4), 473-493.
dc.identifier.issn1542-7528
dc.identifier.urihttps://hdl.handle.net/20.500.12478/8003
dc.description.abstractIdentifying efficient testers for separating maize (Zea mays L.) inbred lines into heterotic groups can facilitate the development of superior hybrids. Striga-resistant yellow-maize inbred lines developed at the International Institute of Tropical Agriculture (IITA) do not have well established heterotic groups. This study was conducted to identify efficient testers for classifying yellow-maize inbred lines into heterotic groups. Thirty Striga-resistant inbred lines were crossed with three testers having varying levels of resistance to Striga. A trial comprising 90 testcrosses and two hybrid checks was conducted at two locations in Nigeria for 2 years under Striga-infested and non-infested conditions. The approach that involved specific combining ability (SCA) effects and mean grain yields was found to be more efficient than the heterotic group’s specific and general combining ability (HSGCA) grouping method in separating the 30 inbred lines into three heterotic groups. The tolerant and resistant testers were highly efficient in grouping the inbred lines into heterotic groups under Striga-infested and non-infested conditions using the two approaches. Striga-resistant yellow inbred lines assigned to two of the three major heterotic groups could be used as parents for developing superior hybrids and/or synthetics and for generating source populations for developing new maize inbred lines.
dc.description.sponsorshipAfrican Union
dc.description.sponsorshipBill & Melinda Gates Foundation
dc.format.extent473-493
dc.language.isoen
dc.subjectMaize
dc.subjectStriga Hermonthica
dc.subjectDisease Resistance
dc.subjectHybrids
dc.subjectVarieties
dc.titleEfficacy of maize inbred testers with varying levels of resistance to Striga for classifying Striga-resistant yellow-maize lines into heterotic groups
dc.typeJournal Article
cg.contributor.crpMaize
cg.contributor.affiliationInternational Institute of Tropical Agriculture
cg.contributor.affiliationUniversity of Ibadan
cg.contributor.affiliationArba Minch University
cg.coverage.regionAfrica
cg.coverage.regionWest Africa
cg.coverage.countryNigeria
cg.coverage.hubHeadquarters and Western Africa Hub
cg.researchthemeBiotech and Plant Breeding
cg.identifier.bibtexciteidZEBIRE:2021a
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.journalJournal of Crop Improvement
cg.notesPublished online: 23 Sep 2021
cg.accessibilitystatusLimited Access
cg.reviewstatusPeer Review
cg.usagerightslicenseCopyrighted; all rights reserved
cg.targetaudienceScientists
cg.identifier.doihttps://dx.doi.org/10.1080/15427528.2021.1979156
cg.iitaauthor.identifierAbebe Menkir: 0000-0002-5907-9177
cg.iitaauthor.identifierWende Mengesha: 0000-0002-2239-7323
cg.iitaauthor.identifierSILVESTRO MESEKA: 0000-0003-1004-2450
cg.iitaauthor.identifierMelaku Gedil: 0000-0002-6258-6014
cg.futureupdate.requiredNo
cg.identifier.issue4
cg.identifier.volume36
cg.contributor.acknowledgementsWe acknowledge the support of technical and data management staff of the Maize Improvement Program of IITA in field operations and data analysis.


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