Search Results - "Glória, L.S."

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    The ontogenetic allometry of body morphology and chemical composition in dairy goat wethers by Vieira, R. A. M., Rohem Júnior, N. M., Gomes, R. S., Oliveira, T. S., Bendia, L. C. R., Azevedo, F. H. V., Barbosa, D. L., Glória, L. S., Rodrigues, M. T.

    Published in Animal (Cambridge, England) (01-03-2018)
    “…We studied the ontogenetic growth of goat wethers (castrated male goats) of the Saanen and Swiss Alpine breeds based on a large range of intraspecific body…”
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    Avaliação do modelo NRC para predição do consumo de matéria seca por vacas leiteiras manejadas em pastos tropicais by Fernandes, A.M., Mello, B.L.B., Glória, L.S., Oliveira, T.S., Camilo, M.G., Baffa, D.F., Bernardo, S.E.E., Cordeiro, C.C.

    “…RESUMO Objetivou-se avaliar o poder preditivo do modelo do National Research Council (NRC) para gado leiteiro em estimar o consumo de matéria seca (CMS) por…”
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    Comparison of dimensionality reduction methods to predict genomic breeding values for carcass traits in pigs by Azevedo, C F, Nascimento, M, Silva, F F, Resende, M D V, Lopes, P S, Guimarães, S E F, Glória, L S

    Published in Genetics and molecular research (09-10-2015)
    “…A significant contribution of molecular genetics is the direct use of DNA information to identify genetically superior individuals. With this approach,…”
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    Genomic selection for slaughter age in pigs using the Cox frailty model by Santos, V S, Martins Filho, S, Resende, M D V, Azevedo, C F, Lopes, P S, Guimarães, S E F, Glória, L S, Silva, F F

    Published in Genetics and molecular research (19-10-2015)
    “…The aim of this study was to compare genomic selection methodologies using a linear mixed model and the Cox survival model. We used data from an F2 population…”
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    Bayesian forecasting of temporal gene expression by using an autoregressive panel data approach by Nascimento, M, E Silva, F F, Sáfadi, T, Nascimento, A C C, Barroso, L M A, Glória, L S, de S Carvalho, B

    Published in Genetics and molecular research (01-01-2016)
    “…We propose and evaluate a novel approach for forecasting gene expression over non-observed times in longitudinal trials under a Bayesian viewpoint. One of the…”
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