Nascimento ACC - Search Results

1

Using quantile regression methodology to evaluate changes in the shape of growth curves in pigs selected for increased feed efficiency based on residual feed intake.

Nascimento M, Nascimento ACC, Dekkers JCM, Serão NVL. Nascimento M, et al. Among authors: nascimento acc. Animal. 2019 May;13(5):1009-1019. doi: 10.1017/S1751731118002616. Epub 2018 Oct 11. Animal. 2019. PMID: 30306885 Free article.

2

Regularized quantile regression for SNP marker estimation of pig growth curves.

Barroso LMA, Nascimento M, Nascimento ACC, Silva FF, Serão NVL, Cruz CD, Resende MDV, Silva FL, Azevedo CF, Lopes PS, Guimarães SEF. Barroso LMA, et al. Among authors: nascimento acc, nascimento m. J Anim Sci Biotechnol. 2017 Jul 11;8:59. doi: 10.1186/s40104-017-0187-z. eCollection 2017. J Anim Sci Biotechnol. 2017. PMID: 28702191 Free PMC article.

3

Regularized quantile regression applied to genome-enabled prediction of quantitative traits.

Nascimento M, E Silva FF, de Resende MD, Cruz CD, Nascimento AC, Viana JM, Azevedo CF, Barroso LM. Nascimento M, et al. Genet Mol Res. 2017 Mar 22;16(1). doi: 10.4238/gmr16019538. Genet Mol Res. 2017. PMID: 28340274 Free article.

4

Factor analysis applied to genome prediction for high-dimensional phenotypes in pigs.

Teixeira FR, Nascimento M, Nascimento AC, E Silva FF, Cruz CD, Azevedo CF, Paixão DM, Barroso LM, Verardo LL, de Resende MD, Guimarães SE, Lopes PS. Teixeira FR, et al. Genet Mol Res. 2016 May 13;15(2). doi: 10.4238/gmr.15028231. Genet Mol Res. 2016. PMID: 27323029 Free article.

5

Genetic evaluation for latent variables derived from factor analysis in broilers.

Paiva JT, Oliveira HR, Nascimento M, Nascimento ACC, Silva HT, Henriques RF, Lopes PS, Silva FF, Veroneze R, Ferraz JBS, Eler JP, Mattos EC, Gaya LG. Paiva JT, et al. Among authors: nascimento acc. Br Poult Sci. 2020 Feb;61(1):3-9. doi: 10.1080/00071668.2019.1680801. Epub 2019 Nov 4. Br Poult Sci. 2020. PMID: 31640404

6

Using artificial neural networks to select upright cowpea (Vigna unguiculata) genotypes with high productivity and phenotypic stability.

Barroso LM, Teodoro PE, Nascimento M, Torres FE, Nascimento AC, Azevedo CF, Teixeira FR. Barroso LM, et al. Genet Mol Res. 2016 Nov 3;15(4). doi: 10.4238/gmr15049049. Genet Mol Res. 2016. PMID: 27820651 Free article.

7

Bayesian forecasting of temporal gene expression by using an autoregressive panel data approach.

Nascimento M, E Silva FF, Sáfadi T, Nascimento AC, Barroso LM, Glória LS, de S Carvalho B. Nascimento M, et al. Genet Mol Res. 2016 Jun 20;15(2). doi: 10.4238/gmr.15027299. Genet Mol Res. 2016. PMID: 27323205 Free article.

8

Genomic prediction in multi-environment trials in maize using statistical and machine learning methods.

Barreto CAV, das Graças Dias KO, de Sousa IC, Azevedo CF, Nascimento ACC, Guimarães LJM, Guimarães CT, Pastina MM, Nascimento M. Barreto CAV, et al. Among authors: nascimento acc. Sci Rep. 2024 Jan 11;14(1):1062. doi: 10.1038/s41598-024-51792-3. Sci Rep. 2024. PMID: 38212638 Free PMC article.

9

Using visual scores for genomic prediction of complex traits in breeding programs.

Azevedo CF, Ferrão LFV, Benevenuto J, de Resende MDV, Nascimento M, Nascimento ACC, Munoz PR. Azevedo CF, et al. Among authors: nascimento acc. Theor Appl Genet. 2023 Dec 15;137(1):9. doi: 10.1007/s00122-023-04512-w. Theor Appl Genet. 2023. PMID: 38102495

10

Population size in QTL detection using quantile regression in genome-wide association studies.

Oliveira GF, Nascimento ACC, Azevedo CF, de Oliveira Celeri M, Barroso LMA, de Castro Sant'Anna I, Viana JMS, de Resende MDV, Nascimento M. Oliveira GF, et al. Among authors: nascimento acc. Sci Rep. 2023 Jun 13;13(1):9585. doi: 10.1038/s41598-023-36730-z. Sci Rep. 2023. PMID: 37311810 Free PMC article.

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