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Identification of QTLs for grain yield and other traits in tropical maize under high and low soil-nitrogen environments.

dc.contributor.authorRibeiro, P.F.
dc.contributor.authorBadu-Apraku, B.
dc.contributor.authorGracen, V.E.
dc.contributor.authorDanquah, E.Y.
dc.contributor.authorGarcía Oliveira, A.L.
dc.contributor.authorAsante, M.D.
dc.contributor.authorAfriyie-Debrah, Charles
dc.contributor.authorGedil, M.
dc.date.accessioned2019-12-04T11:11:04Z
dc.date.available2019-12-04T11:11:04Z
dc.date.issued2017
dc.identifier.citationRibeiro, P.F., Badu-Apraku, B., Gracen, V.E., Danquah, E.Y., Garcia-Oliveira, A.L., Asante, M.D., ...& Gedil, M. (2017). Identification of QTLs for grain yield and other traits in tropical maize under high and low soil-nitrogen environments. Crop Science, 1-35.
dc.identifier.issn0011-183X
dc.identifier.urihttps://hdl.handle.net/20.500.12478/2340
dc.descriptionArticle purchased; Published online: 03 Nov 2017
dc.description.abstractLow soil Nitrogen (low-N) is one of the most important abiotic stresses responsible for significant yield losses in maize (Zea mays. L.). The development and commercialization of low N tolerant genotypes can contribute to improved food security in developing countries. However, selection for low N tolerance is difficult because it is a complex trait with strong interaction between genotypes and environments. Marker assisted breeding holds great promise for improving such complex traits more efficiently in less time, but requires markers associated with the trait of interest. In this study, 150 BC2F1 families of CML 444 x CML 494 were evaluated at two location for two consecutive seasons to identify SNP markers associated with quantitative trait loci (QTLs) for yield and other agronomic traits under low- and high-N environments. A total of 13 QTLs were identified with 158 SNP markers, of which nine and four QTLs were detected under low- and high-N environments, respectively. Five QTLs one each for grain yield (qgy-1), days to silking (qdts-1) and anthesis- silking interval (qasi-6), and two for stay green characteristic (qsg-1 and qsg-4) were close to their adjacent markers, with an interval of 0.7 to 5.2 cM between them and explained phenotypic variance of 9 to 21%. These QTLs would be invaluable for rapid introgression of genomic regions into maize populations using marker assisted selection (MAS) approaches. However, further validation of these QTLs is needed before use in MAS.
dc.description.sponsorshipAlliance for a Green Revolution in Africa
dc.description.sponsorshipBill & Melinda Gates Foundation
dc.format.extent1-35
dc.language.isoen
dc.subjectMaize
dc.subjectFood Security
dc.subjectAbiotic Stress
dc.subjectSoil Nitrogen
dc.subjectYield
dc.subjectQuantitative Trait Locus
dc.subjectMarker Assisted Selection
dc.titleIdentification of QTLs for grain yield and other traits in tropical maize under high and low soil-nitrogen environments.
dc.typeJournal Article
dc.description.versionPeer Review
cg.contributor.crpGrain Legumes
cg.contributor.crpMaize
cg.contributor.crpRoots, Tubers and Bananas
cg.contributor.affiliationCouncil for Scientific and Industrial Research, Ghana
cg.contributor.affiliationInternational Institute of Tropical Agriculture
cg.contributor.affiliationUniversity of Ghana
cg.coverage.regionAfrica
cg.coverage.regionWest Africa
cg.coverage.countryGhana
cg.isijournalISI Journal
cg.authorship.typesCGIAR and developing country institute
cg.iitasubjectGenetic Improvement
cg.iitasubjectIntegrated Soil Fertility Management
cg.iitasubjectMaize
cg.iitasubjectPlant Genetic Resources
cg.iitasubjectSoil Fertility
cg.iitasubjectSoil Health
cg.journalCrop Science
cg.howpublishedFormally Published
cg.accessibilitystatusOpen Access
local.dspaceid92193
cg.targetaudienceScientists
cg.identifier.doihttp://dx.doi.org/10.2135/cropsci2017.02.0117


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