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Reis Filho,João Cruz; Toral,Fábio Luiz Buranelo; Verneque,Rui da Silva; Vercesi Filho,Anibal Eugênio; Torres,Robledo de Almeida; Euclydes,Ricardo Frederico. |
Test-day records of milk yields from the first three lactations were used to verify consequences of incorporation of lactation with non-conventional drying-off causes in genetic evaluation of Gyr dairy cattle. The first file (File1) was composed of test-day records of lactations with conventional drying-off causes. In the second file (File2), the test-day records of lactations with non-conventional drying-off causes were included, such as drying-off by death or separation of the calf, disease, death or sale of cow, and removal of cow from milking control. Data were analyzed by mixed models, using an autoregressive process to adjust the random effects of long-term and short-term environment. The inclusion of test-day records from lactations with... |
Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Autoregressive; Consistency; Database; Environmental; Genetic parameters. |
Ano: 2012 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-35982012000900008 |
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Pereira,Janser Moura; Muniz,Joel Augusto; Silva,Carlos Alberto. |
This work was carried out to evaluate the statistical properties of eight nonlinear models used to predict nitrogen mineralization in soils of the Southern Minas Gerais State, Brazil. The parameter estimations for nonlinear models with and without structure of autoregressive errors was made by the least squares method. First, a structure of second order autoregressive errors, AR(2) was considered for all nonlinear models and then the significance of the autocorrelation parameters was verified. Among the models, the Juma presented an autocorrelation of second order, and the model of Broadbent presented one of first order. In summary, these models presented significant autocorrelation parameters. To estimate the parameters of nonlinear models, the SAS... |
Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Autoregressive; Estimators properties; Mineralized nitrogen; Variance; Covariance matrices. |
Ano: 2005 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162005000400014 |
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