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| Silveira,Fernanda Gomes da; Silva,Fabyano Fonseca e; Carneiro,Paulo Luiz Souza; Malhado,Carlos Henrique Mendes; Muniz,Joel Augusto. |
| Este estudo teve como objetivo utilizar a análise de agrupamento para classificar modelos de regressão não-lineares usados para descrever a curva de crescimento de ovinos cruzados, tendo em vista os resultados de diferentes avaliadores de qualidade de ajuste. Para tanto, utilizaram-se dados de peso-idade dos seguintes cruzamentos entre raças de ovinos de corte: Dorper x Morada Nova, Dorper x Rabo Largo e Dorper x Santa Inês. Após a indicação do melhor modelo, objetivou-se ainda aplicar a técnica de identidade de modelos a fim de identificar o cruzamento mais produtivo. Foram ajustados doze modelos não-lineares, cuja qualidade de ajuste foi medida pelo coeficiente de determinação ajustado, critérios de informação de Akaike e Bayesiano, erro quadrático médio... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Classificação multivariada; Identidade de modelos; Ovis aries. |
| Ano: 2011 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782011000400024 |
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| Silveira,Fernanda Gomes da; Duarte,Darlene Ana Souza; Chaves,Lucas Monteiro; Silva,Fabyano Fonseca e; Filho,Ivan Carvalho; Duarte,Marcio de Souza; Lopes,Paulo Sávio; Guimarães,Simone Eliza Facioni. |
| ABSTRACT: The main application of genomic selection (GS) is the early identification of genetically superior animals for traits difficult-to-measure or lately evaluated, such as meat pH (measured after slaughter). Because the number of markers in GS is generally larger than the number of genotyped animals and these markers are highly correlated owing to linkage disequilibrium, statistical methods based on dimensionality reduction have been proposed. Among them, the partial least squares (PLS) technique stands out, because of its simplicity and high predictive accuracy. However, choosing the optimal number of components remains a relevant issue for PLS applications. Thus, we applied PLS (and principal component and traditional multiple regression)... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: SNP; Genomic prediction; Meat quality. |
| Ano: 2017 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782017000100652 |
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| Souza,Laaina de Andrade; Carneiro,Paulo Luiz Souza; Malhado,Carlos Henrique Mendes; Silva,Fabyano Fonseca e; Silveira,Fernanda Gomes da. |
| In the present study, alternative and traditional nonlinear models to describe growth curves of Morada Nova sheep reared in the state of Bahia, Brazil, were applied. The nonlinear models were: Schnute, Mitscherlich, Gompertz, Logistic, Meloun I Meloun II, III Meloun, Gamito and Meloun IV. The model adjustment was evaluated by using: Adjusted Coefficient of Determination (R²aj), Akaike Information Criterion (AIC), Bayesian Information Criterion (BIC), Mean Squared Error of Prediction (MEP) and Coefficient of Determination of Prediction (R²p). The selection of the best model was based on cluster analysis, using the evaluators as variables. Six out of the nine tested models converged, while Meloun I and Meloun IV were equally effective in explaining animal... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Cluster analysis; Growth curve; Naturalized breed. |
| Ano: 2013 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-35982013000900007 |
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