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dc.contributor.authorScalez, D. C. B.
dc.contributor.authorFragomeni, B. O.
dc.contributor.authorPassafaro, T. L.
dc.contributor.authorPereira, I. G.
dc.contributor.authorToral, F. L. B.
dc.date.accessioned2014-12-03T13:08:59Z
dc.date.available2014-12-03T13:08:59Z
dc.date.issued2014-03-01
dc.identifierhttp://dx.doi.org/10.1017/S1751731113002334
dc.identifier.citationAnimal. Cambridge: Cambridge Univ Press, v. 8, n. 3, p. 370-378, 2014.
dc.identifier.issn1751-7311
dc.identifier.urihttp://hdl.handle.net/11449/111786
dc.description.abstractThe use of polynomial functions to describe the average growth trajectory and covariance functions of Nellore and MA (21/32 Charolais+11/32 Nellore) young bulls in performance tests was studied. The average growth trajectories and additive genetic and permanent environmental covariance functions were fit with Legendre (linear through quintic) and quadratic B-spline (with two to four intervals) polynomials. In general, the Legendre and quadratic B-spline models that included more covariance parameters provided a better fit with the data. When comparing models with the same number of parameters, the quadratic B-spline provided a better fit than the Legendre polynomials. The quadratic B-spline with four intervals provided the best fit for the Nellore and MA groups. The fitting of random regression models with different types of polynomials (Legendre polynomials or B-spline) affected neither the genetic parameters estimates nor the ranking of the Nellore young bulls. However, fitting different type of polynomials affected the genetic parameters estimates and the ranking of the MA young bulls. Parsimonious Legendre or quadratic B-spline models could be used for genetic evaluation of body weight of Nellore young bulls in performance tests, whereas these parsimonious models were less efficient for animals of the MA genetic group owing to limited data at the extreme ages.en
dc.description.sponsorshipPro-Reitoria de Pesquisa/Universidade Federal de Minas Gerais
dc.description.sponsorshipFundação de Amparo à Pesquisa do Estado de Minas Gerais (FAPEMIG)
dc.description.sponsorshipConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.description.sponsorshipCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
dc.format.extent370-378
dc.language.isoeng
dc.publisherCambridge University Press
dc.relation.ispartofAnimal
dc.sourceWeb of Science
dc.subjectbeef cattleen
dc.subjectrandom regressionen
dc.subjectlegendreen
dc.subjectB-splinesen
dc.titlePolynomials to model the growth of young bulls in performance testsen
dc.typeArtigo
dcterms.licensehttp://journals.cambridge.org/action/displaySpecialPage?pageId=4676
dcterms.rightsHolderCambridge Univ Press
dc.contributor.institutionUniv Fed Mato Grosso
dc.contributor.institutionUniversidade Federal de Minas Gerais (UFMG)
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.description.affiliationUniv Fed Mato Grosso, Fac Agron Med Vet & Zootecnia, BR-78060900 Cuiaba, MT, Brazil
dc.description.affiliationUniv Fed Minas Gerais DZOO EV UFMG, Dept Zootecnia, Escola Vet, BR-31270901 Belo Horizonte, MG, Brazil
dc.description.affiliationFaculdade de Ciências Agrárias e Veterinárias, Universidade Estadual Paulista – Campus de Jaboticabal, Via de acesso Prof. Paulo Donato Castellane, CEP 14884-900, Jaboticabal/SP
dc.description.affiliationUnespFaculdade de Ciências Agrárias e Veterinárias, Universidade Estadual Paulista – Campus de Jaboticabal, Via de acesso Prof. Paulo Donato Castellane, CEP 14884-900, Jaboticabal/SP
dc.identifier.doi10.1017/S1751731113002334
dc.identifier.wosWOS:000332516100004
dc.rights.accessRightsAcesso restrito
dc.description.sponsorshipIdFAPEMIG: PPM-00456-11
dc.description.sponsorshipIdCNPq: 502401/2009-5
unesp.author.orcid0000-0002-6798-0758[5]
dc.relation.ispartofjcr1.870
dc.relation.ispartofsjr0,842
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