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QTLs identification for characteristics of the root system in upland rice through DNA microarray

dc.contributor.authorRios Terra, Thiago Gledson
dc.contributor.authorRodrigues, Haroldo Silva
dc.contributor.authorNakano Rangel, Paulo Hideo
dc.contributor.authorTomaz, Rafael Simoes [UNESP]
dc.contributor.authorCruz, Cosme Damiao
dc.contributor.authorBorem, Aluizio
dc.contributor.institutionUniv Fed Tocantins
dc.contributor.institutionUniversidade Federal de Viçosa (UFV)
dc.contributor.institutionEmpresa Brasileira de Pesquisa Agropecuária (EMBRAPA)
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2018-11-26T15:31:06Z
dc.date.available2018-11-26T15:31:06Z
dc.date.issued2016-10-01
dc.description.abstractThe aim of this work is the construction of a genetic map and identification of quantitative trait loci (QTLs) that control characteristics of the root system of rice. We evaluated a F-2:3 population composed of 150 families from the cross between the varieties IAC 165 x BRS Primavera. Genotyping was performed in the F-2 population using 3,742 SNP (Single Nucleotide Polymorphism) markers. The evaluation of the root system in the F-3 population was performed through a large-scale phenotyping method based on image generation with a CI-600 root scanner and on quantification through the WinRhizo (R) software. The experiment was arranged in a randomized block design with three replications performed under greenhouse. The variables analyzed were root length, root surface area and root volume at the depths of 5 to 25 cm and 25 to 45 cm. The SNP markers analysis allowed the construction of the genetic map with a full length of 1424 cM. The linkage group with the largest coverage area was number 3 with 270 cM (100 SNPs), followed by linkage group 1 with 249 cM (170 SNPs) and linkage group 2 with 163 cM (99 SNPs). The genetic analysis allowed the detection of QTLs for all the characteristics.en
dc.description.affiliationUniv Fed Tocantins, Gurupi, Tocantins, Brazil
dc.description.affiliationUniv Fed Vicosa, Dept Fitotecnia, Vicosa, MG, Brazil
dc.description.affiliationEmbrapa Arroz & Feijao, Santo Antonio De Goias, Go, Brazil
dc.description.affiliationUniv Estadual Paulista, Dracena, SP, Brazil
dc.description.affiliationUniv Fed Vicosa, Dept Biol Geral, Vicosa, MG, Brazil
dc.description.affiliationUnespUniv Estadual Paulista, Dracena, SP, Brazil
dc.format.extent457-466
dc.identifierhttp://dx.doi.org/10.4025/actasciagron.v38i4.30534
dc.identifier.citationActa Scientiarum-agronomy. Maringa: Univ Estadual Maringa, Pro-reitoria Pesquisa Pos-graduacao, v. 38, n. 4, p. 457-466, 2016.
dc.identifier.doi10.4025/actasciagron.v38i4.30534
dc.identifier.fileS1807-86212016000400457.pdf
dc.identifier.issn1807-8621
dc.identifier.lattes7689901086405263
dc.identifier.orcid0000-0002-5700-5983
dc.identifier.scieloS1807-86212016000400457
dc.identifier.urihttp://hdl.handle.net/11449/159051
dc.identifier.wosWOS:000382491400006
dc.language.isoeng
dc.publisherUniv Estadual Maringa, Pro-reitoria Pesquisa Pos-graduacao
dc.relation.ispartofActa Scientiarum-agronomy
dc.rights.accessRightsAcesso abertopt
dc.sourceWeb of Science
dc.subjectgenomic
dc.subjectOryza sativa L.
dc.subjectDNA chip
dc.subjectQTL mapping
dc.subjectabiotic stress
dc.titleQTLs identification for characteristics of the root system in upland rice through DNA microarrayen
dc.typeArtigopt
dcterms.rightsHolderUniv Estadual Maringa, Pro-reitoria Pesquisa Pos-graduacao
dspace.entity.typePublication
unesp.author.lattes7689901086405263[4]
unesp.author.orcid0000-0002-5700-5983[4]
unesp.campusUniversidade Estadual Paulista (UNESP), Faculdade de Ciências Agrárias e Tecnológicas, Dracenapt

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