Search Results - "Barroso, L M A"

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  1. 1

    Regularized quantile regression for SNP marker estimation of pig growth curves by Barroso, L M A, Nascimento, M, Nascimento, A C C, Silva, F F, Serão, N V L, Cruz, C D, Resende, M D V, Silva, F L, Azevedo, C F, Lopes, P S, Guimarães, S E F

    “…Background: Genomic growth curves are generally defined only in terms of population mean; an alternative approach that has not yet been exploited in genomic…”
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    Journal Article
  2. 2

    Bayesian approach increases accuracy when selecting cowpea genotypes with high adaptability and phenotypic stability by Barroso, L M A, Teodoro, P E, Nascimento, M, Torres, F E, Dos Santos, A, Corrêa, A M, Sagrilo, E, Corrêa, C C G, Silva, F A, Ceccon, G

    Published in Genetics and molecular research (11-03-2016)
    “…This study aimed to verify that a Bayesian approach could be used for the selection of upright cowpea genotypes with high adaptability and phenotypic…”
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    Journal Article
  3. 3

    Artificial intelligence in the selection of common bean genotypes with high phenotypic stability by Corrêa, A M, Teodoro, P E, Gonçalves, M C, Barroso, L M A, Nascimento, M, Santos, A, Torres, F E

    Published in Genetics and molecular research (01-01-2016)
    “…Artificial neural networks have been used for various purposes in plant breeding, including use in the investigation of genotype x environment interactions…”
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    Journal Article
  4. 4

    Adaptability and phenotypic stability of common bean genotypes through Bayesian inference by Corrêa, A M, Teodoro, P E, Gonçalves, M C, Barroso, L M A, Nascimento, M, Santos, A, Torres, F E

    Published in Genetics and molecular research (01-01-2016)
    “…This study used Bayesian inference to investigate the genotype x environment interaction in common bean grown in Mato Grosso do Sul State, and it also…”
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  5. 5

    Measurements of experimental precision for trials with cowpea (Vigna unguiculata L. Walp.) genotypes by Teodoro, P E, Torres, F E, Santos, A D, Corrêa, A M, Nascimento, M, Barroso, L M A, Ceccon, G

    Published in Genetics and molecular research (01-01-2016)
    “…The aim of this study was to evaluate the suitability of statistics as experimental precision degree measures for trials with cowpea (Vigna unguiculata L…”
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  6. 6

    Factor analysis applied to genome prediction for high-dimensional phenotypes in pigs by Teixeira, F R F, Nascimento, M, Nascimento, A C C, E Silva, F F, Cruz, C D, Azevedo, C F, Paixão, D M, Barroso, L M A, Verardo, L L, de Resende, M D V, Guimarães, S E F, Lopes, P S

    Published in Genetics and molecular research (13-05-2016)
    “…The aim of the present study was to propose and evaluate the use of factor analysis (FA) in obtaining latent variables (factors) that represent a set of pig…”
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  7. 7

    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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  8. 8

    Regularized quantile regression applied to genome-enabled prediction of quantitative traits by Nascimento, M, E Silva, F F, de Resende, M D V, Cruz, C D, Nascimento, A C C, Viana, J M S, Azevedo, C F, Barroso, L M A

    Published in Genetics and molecular research (22-03-2017)
    “…Genomic selection (GS) is a variant of marker-assisted selection, in which genetic markers covering the whole genome predict individual genetic merits for…”
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  9. 9

    Using artificial neural networks to select upright cowpea (Vigna unguiculata) genotypes with high productivity and phenotypic stability by Barroso, L M A, Teodoro, P E, Nascimento, M, Torres, F E, Nascimento, A C C, Azevedo, C F, Teixeira, F R F

    Published in Genetics and molecular research (03-11-2016)
    “…Cowpea (Vigna unguiculata) is grown in three Brazilian regions: the Midwest, North, and Northeast, and is consumed by people on low incomes. It is important to…”
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    Journal Article