Mapping QTL for grain yield and plant traits in a tropical maize population

dc.creatorLima, MDA
dc.creatorde Souza, CL
dc.creatorBento, DAV
dc.creatorde Souza, AP
dc.creatorCarlini-Garcia, LA
dc.date2006
dc.dateAPR
dc.date2014-11-20T01:04:39Z
dc.date2015-11-26T17:10:57Z
dc.date2014-11-20T01:04:39Z
dc.date2015-11-26T17:10:57Z
dc.date.accessioned2018-03-28T23:59:30Z
dc.date.available2018-03-28T23:59:30Z
dc.identifierMolecular Breeding. Springer, v. 17, n. 3, n. 227, n. 239, 2006.
dc.identifier1380-3743
dc.identifier1572-9788
dc.identifierWOS:000236974100005
dc.identifier10.1007/s11032-005-5679-4
dc.identifierhttp://www.repositorio.unicamp.br/jspui/handle/REPOSIP/53228
dc.identifierhttp://www.repositorio.unicamp.br/handle/REPOSIP/53228
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/53228
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1280987
dc.descriptionThe vast majority of reported QTL mapping for maize (Zea mays L.) traits are from temperate germplasm and, also, QTL by environment interaction (QTL x E) has not been thoroughly evaluated and analyzed in most of these papers. The maize growing areas in tropical regions are more prone to environmental variability than in temperate areas, and, therefore, genotype by environment interaction is of great concern for maize breeders. The objectives of this study were to map QTL and to test their interaction with environments for several traits in a tropical maize population. Two-hundred and fifty-six F-2:3 families evaluated in five environments, a genetic map with 139 microsatellites markers, and the multiple-environment joint analysis (mCIM) were used to map QTL and to test QTL x E interaction. Sixteen, eight, six, six, nine, and two QTL were mapped for grain yield, ears per plant, plant lodging, plant height, ear height, and number of leaves, respectively. Most of these QTL interacted significantly with environments, most of them displayed overdominance for all traits, and genetic correlated traits had a low number of QTL mapped in the same genomic regions. Few of the QTL mapped had already been reported in both temperate and tropical germplasm. The low number of stable QTL across environments imposes additional challenges to design marker-assisted selection in tropical areas, unless the breeding programs could be directed towards specific target areas.
dc.description17
dc.description3
dc.description227
dc.description239
dc.languageen
dc.publisherSpringer
dc.publisherDordrecht
dc.publisherHolanda
dc.relationMolecular Breeding
dc.relationMol. Breed.
dc.rightsfechado
dc.rightshttp://www.springer.com/open+access/authors+rights?SGWID=0-176704-12-683201-0
dc.sourceWeb of Science
dc.subjectmicrosatellites
dc.subjectQTL mapping
dc.subjectQTL x environment
dc.subjecttropical maize
dc.subjectZea mays L.
dc.subjectMarker-assisted Selection
dc.subjectGenomic Regions
dc.subjectInbred Lines
dc.subjectNonstress Environments
dc.subjectTestcross Performance
dc.subjectGenetic Variance
dc.subjectComplex Traits
dc.subjectDry Matter
dc.subjectLoci
dc.subjectIdentification
dc.titleMapping QTL for grain yield and plant traits in a tropical maize population
dc.typeArtículos de revistas


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