Response surface models to predict broiler performance and applications for economic analysis

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dc.contributor.authorFaria Filho, DE
dc.contributor.authorRosa, PS
dc.contributor.authorTorres, KAA [UNESP]
dc.contributor.authorMacari, Marcos [UNESP]
dc.contributor.authorFurlan, Renato Luis [UNESP]
dc.contributor.institutionUniversidade Federal de Minas Gerais (UFMG)
dc.contributor.institutionEmpresa Brasileira de Pesquisa Agropecuária (EMBRAPA)
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2014-05-20T13:15:45Z
dc.date.available2014-05-20T13:15:45Z
dc.date.issued2008-06-01
dc.description.abstractA study was carried out to elaborate response surface models using broiler performance data recovered from literature in order to predict performance and elaborate economic analyses. Nineteen studies published between 1995 and 2005 were retrieved using the systematic literature review method. Weight gain and feed conversion data were collected from eight studies that fulfilled the pre-established inclusion criteria, and a response surface model was adjusted using crude protein, environmental temperature, and age as independent variables. The models produced for weight gain (r² = 0.93) and feed conversion (r² = 0.85) were accurate, precise, and not biased. Protein levels, environmental temperature and age showed linear and quadratic effects on weight gain and feed conversion. There was no interaction between protein level and environmental temperature. Age and crude protein showed interaction for weight gain and feed conversion, whereas interaction between age and temperature was detected only for weight gain. It was possible to perform economic analyses to determine maximum profit as a function of the variables that were included in the model. It was concluded that the response surface models are effective to predict the performance of broiler chickens and allow the elaboration of economic analyses to optimize profit.en
dc.description.affiliationUniversidade Federal de Minas Gerais Instituto de Ciências Agrárias Setor Acadêmico de Zootecnia
dc.description.affiliationEmpresa Brasileira de Pesquisa Agropecuária (EMBRAPA) Suínos e Aves
dc.description.affiliationUniversidade Estadual Paulista Faculdade de Ciências Agrárias e Veterinárias Departamento de Morfologia e Fisiologia Animal
dc.description.affiliationUnespUniversidade Estadual Paulista Faculdade de Ciências Agrárias e Veterinárias Departamento de Morfologia e Fisiologia Animal
dc.format.extent139-141
dc.identifierhttp://dx.doi.org/10.1590/S1516-635X2008000200009
dc.identifier.citationRevista Brasileira de Ciência Avícola. Fundação APINCO de Ciência e Tecnologia Avícolas, v. 10, n. 2, p. 139-141, 2008.
dc.identifier.doi10.1590/S1516-635X2008000200009
dc.identifier.fileS1516-635X2008000200009.pdf
dc.identifier.issn1516-635X
dc.identifier.lattes5713558572926669
dc.identifier.lattes0806409484159642
dc.identifier.orcid0000-0001-9549-0329
dc.identifier.scieloS1516-635X2008000200009
dc.identifier.urihttp://hdl.handle.net/11449/2801
dc.identifier.wosWOS:000259783200009
dc.language.isoeng
dc.publisherFundação APINCO de Ciência e Tecnologia Avícolas
dc.relation.ispartofRevista Brasileira de Ciência Avícola
dc.relation.ispartofjcr0.463
dc.rights.accessRightsAcesso aberto
dc.sourceSciELO
dc.subjectCrude proteinen
dc.subjectenvironmental temperatureen
dc.subjectRegression analysisen
dc.subjectresponse surfaceen
dc.subjectslaughter ageen
dc.subjectsystematic literature reviewen
dc.titleResponse surface models to predict broiler performance and applications for economic analysisen
dc.typeArtigo
dcterms.licensehttp://www.scielo.br/revistas/rbca/paboutj.htm
unesp.author.lattes5713558572926669
unesp.author.lattes0806409484159642[5]
unesp.author.orcid0000-0002-6850-7145[4]
unesp.author.orcid0000-0001-9549-0329[5]
unesp.campusUniversidade Estadual Paulista (Unesp), Faculdade de Ciências Agrárias e Veterinárias, Jaboticabalpt

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Artigos - Morfologia e Fisiologia Animal - FCAV