Výsledky vyhledávání - "L. M. A. Barroso"

Akademický článek

Regularized quantile regression for SNP marker estimation of pig growth curves

Autor: L. M. A. Barroso, M. Nascimento, A. C. C. Nascimento, F. F. Silva, N. V. L. Serão, C. D. Cruz, M. D. V. Resende, F. L. Silva, C. F. Azevedo, P. S. Lopes, S. E. F. Guimarães

Publikováno v: Journal of Animal Science and Biotechnology, Vol 8, Iss 1, Pp 1-9 (2017)

Abstract Background Genomic growth curves are generally defined only in terms of population mean; an alternative approach that has not yet been exploited in genomic analyses of growth curves is the Quantile Regression (QR). This methodology allows fo

Externí odkaz: https://doaj.org/article/74f661a843e742368e2d13874ed06153

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Regularized quantile regression for SNP marker estimation of pig growth curves

Autor: Ana Carolina Campana Nascimento, Laís Mayara Azevedo Barroso, Marcos Deon Vilela de Resende, Fabyano Fonseca e Silva, Simone Eliza Facioni Guimarães, Felipe Lopes da Silva, Nick V. L. Serão, Cosme Damião Cruz, Camila Ferreira Azevedo, Paulo Sávio Lopes, Moysés Nascimento

Publikováno v: Journal of Animal Science and Biotechnology, Vol 8, Iss 1, Pp 1-9 (2017)
Journal of Animal Science and Biotechnology
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA-Alice)
Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron:EMBRAPA

Background: Genomic growth curves are generally defined only in terms of population mean; an alternative approach that has not yet been exploited in genomic analyses of growth curves is the Quantile Regression (QR). This methodology allows for the es

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::75b3fb158e45702704cbb971047ebbcd
http://link.springer.com/article/10.1186/s40104-017-0187-z

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

Autor: Cosme Damião Cruz, F. F. e Silva, Paulo Sávio Lopes, Simone Eliza Facioni Guimarães, D. M. Paixão, Laís Mayara Azevedo Barroso, Ana Carolina Campana Nascimento, L.L. Verardo, F. R. F. Teixeira, Moysés Nascimento, M. D. V. de Resende, Camila Ferreira Azevedo

Publikováno v: Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA-Alice)
Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron:EMBRAPA
LOCUS Repositório Institucional da UFV
Universidade Federal de Viçosa (UFV)
instacron:UFV

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 traits simultaneously, for use in genome-wide selection (GWS) studies. We used crosses betwee

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5c276718c0610d939c10767a85e0f12e
http://www.alice.cnptia.embrapa.br/alice/handle/doc/1047516

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Bayesian approach increases accuracy when selecting cowpea genotypes with high adaptability and phenotypic stability

Autor: Paulo Eduardo Teodoro, A. dos Santos, A. M. Correa, Francilene Amaral da Silva, Edvaldo Sagrilo, Laís Mayara Azevedo Barroso, Gessi Ceccon, Moysés Nascimento, Francisco Eduardo Torres, Clibas Correa

This study aimed to verify that a Bayesian approach could be used for the selection of upright cowpea genotypes with high adaptability and phenotypic stability, and the study also evaluated the efficiency of using informative and minimally informativ

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4478d473a8fc847012b3d0c776e0af78
http://www.alice.cnptia.embrapa.br/alice/handle/doc/1041259

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