2011
DOI: 10.1590/s1516-35982011000700018
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Abstract: RESUMO -Foram utilizados 10.238 registros semanais de produção de leite no dia do controle leiteiro provenientes de 388 primeiras lactações de cabras da raça Saanen visando comparar diferentes modelos de regressão aleatória (MRA).Primeiramente, foram comparados cinco modelos, cujos termos exponenciais da função de Wilmink assumiram os seguintes valores -0,0350; -0,0500; -0,0565; -0,0680 e -0,1000 (W0350, W0500, W0565, W0680 e W1000, respectivamente), Palavras-chave: função de Wilmink, leite, modelagem, produçã… Show more

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Cited by 11 publications
(6 citation statements)
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“…The most frequently used methods for genetically evaluating milk-related traits are based on test-day (TD) records and random regression models (RRM; Schaeffer et al, 2000;Oliveira et al, 2016Oliveira et al, , 2019a. The RRM have been applied to various dairy species, including dairy goats (Menezes et al, 2011;Silva et al, 2013;Brito et al, 2018), dairy cattle (Freitas et al, 2020a), dairy sheep (Komprej et al, 2013), and dairy buffalo (Tonhati et al, 2008;Aspilcueta-Borquis et al, 2013;Hurtado-lugo et al, 2013). In multiple-trait settings, RRM are especially interesting because they enable the identification of time periods that yield the most favorably correlated genetic responses.…”
Section: Introductionmentioning
confidence: 99%
“…The most frequently used methods for genetically evaluating milk-related traits are based on test-day (TD) records and random regression models (RRM; Schaeffer et al, 2000;Oliveira et al, 2016Oliveira et al, , 2019a. The RRM have been applied to various dairy species, including dairy goats (Menezes et al, 2011;Silva et al, 2013;Brito et al, 2018), dairy cattle (Freitas et al, 2020a), dairy sheep (Komprej et al, 2013), and dairy buffalo (Tonhati et al, 2008;Aspilcueta-Borquis et al, 2013;Hurtado-lugo et al, 2013). In multiple-trait settings, RRM are especially interesting because they enable the identification of time periods that yield the most favorably correlated genetic responses.…”
Section: Introductionmentioning
confidence: 99%
“…Menezes et al (2008a), working with Saanen goats, tested different adaptations of the Wilmink model, while Menezes et al (2010) compared the two best models using the Wilmink function with four models using Legendre orthogonal polynomials (LOP). The authors found that the best model, in relation to all of the criteria evaluated, was the one that used LOP with a third order for the fixed curve, a fourth order for the curve of additive genetic variance, and a sixth order for the permanent environmental curve in addition to considering six classes of residual variance.…”
Section: Introductionmentioning
confidence: 99%
“…In this case, there was the application of the models with global spatial effects, which considers the special correlation structure in a parameter before including it in the regression model, so as to identify the best model of spatial regression to be used, these being the spatial lag model (SLM), which assigns spatial self-correlation to the dependent variable, or the spatial error mode (SEM) which assigns the self-correlation to the mistake. The definition of the best model was based on the comparison of the lowest value within the Akaike information criterion (AIC), which establishes the maximum value of the logarithm of the probability, and the number of parameters of the model [27]. …”
Section: Methodsmentioning
confidence: 99%