Mixed nonlinear models in ruminal in situ degradability trials

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dc.contributor.authorde Medeiros, Simone Daniela Sartorio
dc.contributor.authorde Lima, César Gonçalves
dc.contributor.authorSavian, Taciana Villela
dc.contributor.authorMalheiros, Euclides Braga [UNESP]
dc.contributor.authorWerner, Simone Silmara
dc.contributor.institutionUniversidade Federal de Santa Catarina (UFSC)
dc.contributor.institutionUniversidade de São Paulo (USP)
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.contributor.institutionEPAGRI
dc.date.accessioned2021-06-25T11:08:26Z
dc.date.available2021-06-25T11:08:26Z
dc.date.issued2020-01-01
dc.description.abstractClassical methods of analysis of nonlinear models are widely used in studies of ruminal degradation kinetics. As this type of study involves repeated measurements in the same experimental unit, the use of mixed nonlinear models (MNLM) is proposed, in order to solve problems of heterogeneity of variances of the responses, correlation among repeated measurements and consequent lack of sphericity in the covariance matrix. The aims of this work are to present an evaluation of the applicability of MNLM in the estimation of parameters to describe the in situ ruminal degradation kinetics of the dry matter of Tifton 85 hay and to compare the results with those obtained from the usual analysis in two-phases. The steers used in the trial were fed diets composed of three different combinations of roughage and concentrate and two hays with different nutritional qualities. The proposed approach was proven as effective as the traditional one for estimating model parameters. However, it adequately models the correlation among the longitudinal data, which can affect the estimates obtained, the standard error associated with them and potentially change the results of the inferences. It is quite attractive when the research seeks to understand the behavior of the process of food degradation throughout the incubation times.en
dc.description.affiliationCentro Tecnológico INE/UFSC - Trindade
dc.description.affiliationFaculdade de Zootecnia e Engenharia de Alimentos ZAB/USP
dc.description.affiliationEscola Superior de Agricultura “Luiz de Queiroz” LCE/USP
dc.description.affiliationFaculdade de Ciências Agrárias e Veterinárias UNESP
dc.description.affiliationEmpresa de Pesquisa Agropecuária e Extensão Rural de Santa Catarina EPAGRI
dc.description.affiliationUnespFaculdade de Ciências Agrárias e Veterinárias UNESP
dc.identifierhttp://dx.doi.org/10.1590/1809-6891v21e-57596
dc.identifier.citationCiencia Animal Brasileira, v. 21.
dc.identifier.doi10.1590/1809-6891v21e-57596
dc.identifier.fileS1809-68912020000100216.pdf
dc.identifier.issn1809-6891
dc.identifier.issn1518-2797
dc.identifier.scieloS1809-68912020000100216
dc.identifier.scopus2-s2.0-85097245948
dc.identifier.urihttp://hdl.handle.net/11449/208217
dc.language.isoeng
dc.relation.ispartofCiencia Animal Brasileira
dc.rights.accessRightsAcesso aberto
dc.sourceScopus
dc.subjectCovariance matrix
dc.subjectDry matter
dc.subjectLongitudinal data
dc.subjectRandom effects
dc.subjectRuminal degradation kinetics
dc.titleMixed nonlinear models in ruminal in situ degradability trialsen
dc.titleModelos não lineares mistos em ensaios de degradabilidade ruminal in situpt
dc.typeArtigo

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