TY - JOUR
T1 - The transit of external markers throughout the ruminant digestive tract
T2 - 1. The fitting quality of models to marker profiles in feces using an information-theoretic approach
AU - Rohem Júnior, Nardele Moreno
AU - Silva, Marcelo Cabral da
AU - Abreu, Matheus Lima Corrêa
AU - Oliveira, Jhone Gleison de
AU - Glória, Leonardo Siqueira
AU - Tedeschi, Luis Orlindo
AU - Vieira, Ricardo Augusto Mendonça
N1 - Funding Information:
The Coordena??o de Aperfei?oamento de Pessoal de N?vel Superior - Brazil (CAPES) - Finance Code 001, financed this study in part. Ricardo Vieira thanks the grants provided by the Conselho Nacional de Desenvolvimento Cient?fico e Tecnol?gico ? CNPq (304920/2015-0) and Funda??o Carlos Chagas Filho de Amparo ? Pesquisa do Estado do Rio de Janeiro ? FAPERJ (E-26/203.063/2016). We also thank the technical assistance with ICP analyses provided by Almir Ribeiro de Carvalho J?nior (UENF) and Dr. Mirton Jos? Frota Morenz (EMBRAPA ? Gado de Leite).
Funding Information:
The Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - Brazil (CAPES) - Finance Code 001, financed this study in part. Ricardo Vieira thanks the grants provided by the Conselho Nacional de Desenvolvimento Científico e Tecnológico – CNPq ( 304920/2015-0 ) and Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro – FAPERJ ( E-26/203.063/2016 ). We also thank the technical assistance with ICP analyses provided by Almir Ribeiro de Carvalho Júnior (UENF) and Dr. Mirton José Frota Morenz (EMBRAPA – Gado de Leite).
Publisher Copyright:
© 2020 Elsevier B.V.
PY - 2020/3
Y1 - 2020/3
N2 - We used the information-theoretic (I–T) approach to evaluate the quality of fit of nonlinear mixed-effects models fitted to fecal profiles of the particulate markers Cr and La, and Co-EDTA as a fluid marker pulse dosed to cattle and sheep. Experiments with dry and lactating dairy cows, steers, and sheep fed tropical forages including corn silage ad libitum or at multiples of maintenance were the sources of the fecal marker profiles. We fit nonlinear compartmental models of one (GN), two (GNG1), or multiple compartments (MC) to those markers by animal species/category. The animal was the random effect introduced in the nonlinear mixed-effects model. Variance and correlation functions accounted for heterogeneity of variance. The model averaging technique was necessary to summarize inferences from the fit of the several compartmental models according to the I–T approach. Some models presented an overall excellent fit, with model probabilities ≥0.9. This probability threshold leaves a low level of uncertainty for choosing such models to represent reality, given the data, and for those fits, there was no need for model averaging. For many profiles, however, there was a need for model averaging to improve predictive accuracy. The Cr-fiber and Co-EDTA travelled at different transit times (τ) in steers; however, the confidence intervals for τ overlapped for dry, lactating cows, and sheep. Chromium-labeled forage particles remained within retention segments during overlapping residence times for steers, sheep and dry cows, whereas Cr-labelled forage fiber and La-labelled concentrate fiber segregate with respect to residence times for sheep. The liquid phase Co-EDTA marker for lactating cows had the shortest residence times if compared to other markers fed to dry cows, steers, and sheep. The total mean residence times of Cr-labelled particles were shorter for lactating cows, intermediate for dry cows and sheep, and were longer for steers. The I–T approach was useful for selecting models within the nonlinear mixed models' framework, by combining the ability of different models to fit marker excretion profiles, and by combining the predictive powers of the fitted models by averaging solutions whenever necessary.
AB - We used the information-theoretic (I–T) approach to evaluate the quality of fit of nonlinear mixed-effects models fitted to fecal profiles of the particulate markers Cr and La, and Co-EDTA as a fluid marker pulse dosed to cattle and sheep. Experiments with dry and lactating dairy cows, steers, and sheep fed tropical forages including corn silage ad libitum or at multiples of maintenance were the sources of the fecal marker profiles. We fit nonlinear compartmental models of one (GN), two (GNG1), or multiple compartments (MC) to those markers by animal species/category. The animal was the random effect introduced in the nonlinear mixed-effects model. Variance and correlation functions accounted for heterogeneity of variance. The model averaging technique was necessary to summarize inferences from the fit of the several compartmental models according to the I–T approach. Some models presented an overall excellent fit, with model probabilities ≥0.9. This probability threshold leaves a low level of uncertainty for choosing such models to represent reality, given the data, and for those fits, there was no need for model averaging. For many profiles, however, there was a need for model averaging to improve predictive accuracy. The Cr-fiber and Co-EDTA travelled at different transit times (τ) in steers; however, the confidence intervals for τ overlapped for dry, lactating cows, and sheep. Chromium-labeled forage particles remained within retention segments during overlapping residence times for steers, sheep and dry cows, whereas Cr-labelled forage fiber and La-labelled concentrate fiber segregate with respect to residence times for sheep. The liquid phase Co-EDTA marker for lactating cows had the shortest residence times if compared to other markers fed to dry cows, steers, and sheep. The total mean residence times of Cr-labelled particles were shorter for lactating cows, intermediate for dry cows and sheep, and were longer for steers. The I–T approach was useful for selecting models within the nonlinear mixed models' framework, by combining the ability of different models to fit marker excretion profiles, and by combining the predictive powers of the fitted models by averaging solutions whenever necessary.
KW - Fluid markers
KW - Nonlinear mixed-effects models
KW - Particulate markers
KW - Passage kinetics
U2 - 10.1016/j.anifeedsci.2020.114407
DO - 10.1016/j.anifeedsci.2020.114407
M3 - Journal article
AN - SCOPUS:85078402363
SN - 0377-8401
VL - 261
JO - Animal Feed Science and Technology
JF - Animal Feed Science and Technology
M1 - 114407
ER -