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Animal : an International Journal of Animal Bioscience|October 12, 2018
Using quantile regression methodology to evaluate changes in the shape of growth curves in pigs selected for increased feed efficiency based on residual feed intakeM Nascimento, A C C Nascimento, J C M Dekkers, et al.Genetics and Molecular Research : GMR|June 21, 2016
Bayesian forecasting of temporal gene expression by using an autoregressive panel data approachM Nascimento, F F E Silva, T Sáfadi, et al.Genetics and Molecular Research : GMR|November 8, 2016
Using artificial neural networks to select upright cowpea (Vigna unguiculata) genotypes with high productivity and phenotypic stabilityL M A Barroso, P E Teodoro, M Nascimento, et al.Genetics and Molecular Research : GMR|March 25, 2017
Regularized quantile regression applied to genome-enabled prediction of quantitative traitsM Nascimento, F F E Silva, M D V de Resende, et al.Journal of Animal Science and Biotechnology|July 14, 2017
Regularized quantile regression for SNP marker estimation of pig growth curvesL M A Barroso, M Nascimento, A C C Nascimento, et al.British Poultry Science|October 24, 2019
Genetic evaluation for latent variables derived from factor analysis in broilersJ T Paiva, H R Oliveira, M Nascimento, et al.Genetics and Molecular Research : GMR|June 21, 2016
Factor analysis applied to genome prediction for high-dimensional phenotypes in pigsF R F Teixeira, M Nascimento, A C C Nascimento, et al.Pageof 1