2020
DOI: 10.1016/j.anifeedsci.2020.114420
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The transit of external markers throughout the ruminant digestive tract: 2. The estimation of fiber digestibility, ruminoreticular fill, and related biases

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Cited by 9 publications
(5 citation statements)
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“…Therefore, the models under the independence and homoscedasticity assumptions were fitted with an autoregressive correlation function (corCAR1) to challenge independence, and with a power-of-the-mean variance function (VarPower) to challenge homoscedasticity, or even by both (Pinheiro & Bates, 2000). The fit quality of the models was evaluated based on the information-theoretic (I-T) approach (Burnham, Anderson, & Huyvaert, 2011), with special reference to a nonlinear model selection framework (Vieira et al, 2020).…”
Section: Discussionmentioning
confidence: 99%
“…Therefore, the models under the independence and homoscedasticity assumptions were fitted with an autoregressive correlation function (corCAR1) to challenge independence, and with a power-of-the-mean variance function (VarPower) to challenge homoscedasticity, or even by both (Pinheiro & Bates, 2000). The fit quality of the models was evaluated based on the information-theoretic (I-T) approach (Burnham, Anderson, & Huyvaert, 2011), with special reference to a nonlinear model selection framework (Vieira et al, 2020).…”
Section: Discussionmentioning
confidence: 99%
“…Environmental conditions generated by year-to-year variations exert greater influence over the fibrous (aNDFom) content of the whole-corn crop than genotypes do (Kruse et al, 2008). This is important because both corn silage concentration and aNDFom quality affect intake (Oba and Allen, 1999;Tjardes et al, 2002;Huhtanen et al, 2008a;Vieira et al, 2008bVieira et al, , 2020. Because productive animals generally have an increased demand for nutrients, including fiber for rumen health (Van Soest, 1994), the selection of corn hybrids with higher nutritional values can provide more energy that is useful to the animal (digestible and metabolizable energies), especially when the aNDFom content constrains intake (Van Soest, 1994;Mertens, 2010;Akins and Shaver, 2014; a AICc r -Akaike information criterion corrected for small samples; Δ r -Akaike difference; w r -model probability; ER r -evidence ratio; and number of parameters (Θ r ) of the r-th model combination.…”
Section: Discussionmentioning
confidence: 99%
“…Differences regarding feed efficiency for milk production from cows fed silage made with nutrientdense, brown midrib, or dual-purpose corn hybrids are difficult to detect for some corn types cultivated in America; nonetheless, the phenotypic variation about fiber digestibility correlates to fiber quality, e.g., low lignin contents in brown midrib corn hybrids (Akins and Shaver, 2014). These are further evidences that the relationship between dietary aNDFom content and its digestibility is not constant (Van Soest, 1967;Huhtanen et al, 2006), and measures of fiber digestibility are necessary for predicting animal performance (Van Soest et al, 1992;Oba and Allen, 1999;Huhtanen et al, 2008b;Vieira et al, 2008bVieira et al, , 2020. However, we warn the readers that we biased our fiber results to some extent, because at the time we performed the fiber analyses, there were no Berzelius beakers without spouts in our laboratory (Silva et al, 2018).…”
Section: Discussionmentioning
confidence: 99%
“…The model fitted with the variance function in equation 17 challenges the fitted one based on the traditional homoscedastic assumption described by equation 16. Parameter ω is the intercept of the VarConstPower function (equation 18), which allowed modeling the variances when |g(Θ m , t ijk )| = 0 or equal to a baseline or background value, and when the variance scales to the mean for |g(Θ m , t ijk )| > 0 or greater than a baseline value (Pinheiro and Bates, 2000;Rohem Júnior et al, 2020;Vieira et al, 2020). The fit of the model with the first-order autoregressive correlation structure given by equation 19 challenges the traditional assumption of independent time records on the same subject (Vonesh, 2012); this was accomplished by fitting the corCAR1 function of nlme package (Pinheiro and Bates, 2000).…”
Section: Model Fitting: First-step Predictionmentioning
confidence: 99%
“…The development of tools from theories of nonlinear mixed-effects models and generalized linear mixed-effects models (Pinheiro and Bates, 2000;Littell et al, 2006;Vonesh, 2012;Stroup, 2013) has provided instruments to describe several nonlinear phenomena in animal science (Zanton and Heinrichs, 2009;Strathe et al, 2010;Albertini et al, 2012;Araujo et al, 2015;Vieira et al, 2018Vieira et al, , 2020Rohem Júnior et al, 2020). The information-theoretic approach (I-T) provides the elements for evaluating the quality of fit of models by aiming at their predictive powers (Buckland et al, 1997;Sober, 2002;Burnham and Anderson, 2004;Burnham et al, 2011a).…”
Section: Introductionmentioning
confidence: 99%