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dc.contributor.authorNones, K.
dc.contributor.authorLedur, M. C.
dc.contributor.authorZanella, E. L.
dc.contributor.authorKlein, C.
dc.contributor.authorPinto, L. F. B.
dc.contributor.authorMoura, Ana Silvia Alves Meira Tavares [UNESP]
dc.contributor.authorRuy, D. C.
dc.contributor.authorBaron, E. E.
dc.contributor.authorAmbo, M.
dc.contributor.authorCampos, R. L. R.
dc.contributor.authorBoschiero, C. [UNESP]
dc.contributor.authorBurt, D. W.
dc.contributor.authorCoutinho, L. L.
dc.identifier.citationAnimal Genetics. Hoboken: Wiley-blackwell, v. 43, n. 5, p. 570-576, 2012.
dc.description.abstractMajor objectives of the poultry industry are to increase meat production and to reduce carcass fatness, mainly abdominal fat. Information on growth performance and carcass composition are important for the selection of leaner meat chickens. To enhance our understanding of the genetic architecture underlying the chemical composition of chicken carcasses, an F2 population developed from a broiler similar to X similar to layer cross was used to map quantitative trait loci (QTL) affecting protein, fat, water and ash contents in chicken carcasses. Two genetic models were applied in the QTL analysis: the line-cross and the half-sib models, both using the regression interval mapping method. Six significant and five suggestive QTL were mapped in the line-cross analysis, and four significant and six suggestive QTL were mapped in the half-sib analysis. A total of eleven QTL were mapped for fat (ether extract), five for protein, four for ash and one for water contents in the carcass using both analyses. No study to date has reported QTL for carcass chemical composition in chickens. Some QTL mapped here for carcass fat content match, as expected, QTL regions previously associated with abdominal fat in the same or in different populations, and novel QTL for protein, ash and water contents in the carcass are presented here. The results described here also reinforce the need for fine mapping and to perform multi-trait analyses to better understand the genetic architecture of these traits.en
dc.description.sponsorshipFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.description.sponsorshipConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.description.sponsorshipCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
dc.description.sponsorshipBBSRC (UK)
dc.description.sponsorshipEmpresa Brasileira de Pesquisa Agropecuária (EMBRAPA)
dc.relation.ispartofAnimal Genetics
dc.sourceWeb of Science
dc.titleQuantitative trait loci associated with chemical composition of the chicken carcassen
dc.contributor.institutionUniversidade de São Paulo (USP)
dc.contributor.institutionEmpresa Brasileira de Pesquisa Agropecuária (EMBRAPA)
dc.contributor.institutionUniv Passo Fundo
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.contributor.institutionUniv Edinburgh
dc.description.affiliationESALQ USP, Lab Biotecnol Anim, Dept Zootecnia, BR-13418900 Piracicaba, SP, Brazil
dc.description.affiliationEmpresa Brasileira de Pesquisa Agropecuária (EMBRAPA) Suinos & Aves, BR-89700000 Concordia, SC, Brazil
dc.description.affiliationUniv Passo Fundo, BR-99001970 Passo Fundo, RS, Brazil
dc.description.affiliationUniv Estadual Paulista UNESP FMVZ, Dept Prod Anim, BR-18618000 Botucatu, SP, Brazil
dc.description.affiliationUniv Edinburgh, Sch Vet Studies, Roslin Inst & Royal Dick, Div Genet & Genom Midlothian, Edinburgh EH25 9PS, Midlothian, Scotland
dc.description.affiliationUnespUniv Estadual Paulista UNESP FMVZ, Dept Prod Anim, BR-18618000 Botucatu, SP, Brazil
dc.rights.accessRightsAcesso restrito
unesp.campusUniversidade Estadual Paulista (UNESP), Faculdade de Medicina Veterinária e Zootecnia, Botucatupt[5][11][2][6][13][12]
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