| |
|
|
 | Acesso ao texto completo restrito à biblioteca da Embrapa Florestas. Para informações adicionais entre em contato com cnpf.biblioteca@embrapa.br. |
|
Registro Completo |
|
Biblioteca(s): |
Embrapa Florestas. |
|
Data corrente: |
17/11/2011 |
|
Data da última atualização: |
11/10/2017 |
|
Tipo da produção científica: |
Nota Técnica/Nota Científica |
|
Autoria: |
SILVA, F. F.; VARONA, L.; RESENDE, M. D. V. de; BUENO FILHO, J. S. S.; ROSA, G. J. M.; VIANA, J. M. S. |
|
Afiliação: |
Fabyano Fonseca Silva, UFV; Luis Varona, Universidad de Zaragoza; MARCOS DEON VILELA DE RESENDE, CNPF; Júlio Sílvio S. Bueno Filho, UFLA; Guilherme J. M. Rosa, University of Wisconsin; José Marcelo Soriano Viana, UFV. |
|
Título: |
A note on accuracy of Bayesian LASSO regression in GWS. |
|
Ano de publicação: |
2011 |
|
Fonte/Imprenta: |
Livestock Science, v. 142, p. 310-314, 2011. |
|
DOI: |
10.1016/j.livsci.2011.09.010 |
|
Idioma: |
Inglês |
|
Notas: |
Short communication. |
|
Conteúdo: |
Several genome wide selection (GWS) statistical methods have been proposed in the last years, and among these stands out the Bayesian LASSO (BL), which is a penalized regression method based on the regularization parameter (?) estimates. In general, the posterior mean values for ? are those that minimize the residual sum of squares (RSS) while controlling the L1 norm (absolute values) of the regression coefficients. However, another option is to use fixed values of ?, which is independent of this minimization process. Nevertheless, the most important aim of GWS is to make predictions about genomic breeding values (GBV=u) for individuals that have not been measured directly for the trait, and for this reason the parameter to maximize should be the accuracy (ru; ?u ). Thus, a question can arise as to whether such estimated ? values that minimize RSS are the same as that which maximize ru; ?u . In order to answer this question, this paper aims to provide methodological and computational resources in order to evaluate the influence of BL regularization parameter estimates on the correlation between true and estimated GBV (accuracy) depending on genetic structure of the target trait (few or many QTLs and low or medium heritability). In general, it is possible to report, on average, that GBV prediction is robust in relation to the ? estimation, since the different values for ? lead to similar accuracy values. Moreover, the fixed ? values grid request high computational costs, implying that the random ? method is more attractive, since it is much faster to use just one Gibbs sampler run, while the grid must to use one run for each fixed ? value. MenosSeveral genome wide selection (GWS) statistical methods have been proposed in the last years, and among these stands out the Bayesian LASSO (BL), which is a penalized regression method based on the regularization parameter (?) estimates. In general, the posterior mean values for ? are those that minimize the residual sum of squares (RSS) while controlling the L1 norm (absolute values) of the regression coefficients. However, another option is to use fixed values of ?, which is independent of this minimization process. Nevertheless, the most important aim of GWS is to make predictions about genomic breeding values (GBV=u) for individuals that have not been measured directly for the trait, and for this reason the parameter to maximize should be the accuracy (ru; ?u ). Thus, a question can arise as to whether such estimated ? values that minimize RSS are the same as that which maximize ru; ?u . In order to answer this question, this paper aims to provide methodological and computational resources in order to evaluate the influence of BL regularization parameter estimates on the correlation between true and estimated GBV (accuracy) depending on genetic structure of the target trait (few or many QTLs and low or medium heritability). In general, it is possible to report, on average, that GBV prediction is robust in relation to the ? estimation, since the different values for ? lead to similar accuracy values. Moreover, the fixed ? values grid request high computational costs, impl... Mostrar Tudo |
|
Palavras-Chave: |
Genome wide selection; Penalized regression; SNP markers. |
|
Categoria do assunto: |
-- |
|
Marc: |
LEADER 02366naa a2200241 a 4500
001 1906248
005 2017-10-11
008 2011 bl uuuu u00u1 u #d
024 7 $a10.1016/j.livsci.2011.09.010$2DOI
100 1 $aSILVA, F. F.
245 $aA note on accuracy of Bayesian LASSO regression in GWS.$h[electronic resource]
260 $c2011
500 $aShort communication.
520 $aSeveral genome wide selection (GWS) statistical methods have been proposed in the last years, and among these stands out the Bayesian LASSO (BL), which is a penalized regression method based on the regularization parameter (?) estimates. In general, the posterior mean values for ? are those that minimize the residual sum of squares (RSS) while controlling the L1 norm (absolute values) of the regression coefficients. However, another option is to use fixed values of ?, which is independent of this minimization process. Nevertheless, the most important aim of GWS is to make predictions about genomic breeding values (GBV=u) for individuals that have not been measured directly for the trait, and for this reason the parameter to maximize should be the accuracy (ru; ?u ). Thus, a question can arise as to whether such estimated ? values that minimize RSS are the same as that which maximize ru; ?u . In order to answer this question, this paper aims to provide methodological and computational resources in order to evaluate the influence of BL regularization parameter estimates on the correlation between true and estimated GBV (accuracy) depending on genetic structure of the target trait (few or many QTLs and low or medium heritability). In general, it is possible to report, on average, that GBV prediction is robust in relation to the ? estimation, since the different values for ? lead to similar accuracy values. Moreover, the fixed ? values grid request high computational costs, implying that the random ? method is more attractive, since it is much faster to use just one Gibbs sampler run, while the grid must to use one run for each fixed ? value.
653 $aGenome wide selection
653 $aPenalized regression
653 $aSNP markers
700 1 $aVARONA, L.
700 1 $aRESENDE, M. D. V. de
700 1 $aBUENO FILHO, J. S. S.
700 1 $aROSA, G. J. M.
700 1 $aVIANA, J. M. S.
773 $tLivestock Science$gv. 142, p. 310-314, 2011.
Download
Esconder MarcMostrar Marc Completo |
|
Registro original: |
Embrapa Florestas (CNPF) |
|
|
Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
URL |
Voltar
|
|
|
| Registros recuperados : 16 | |
| 3. |  | SILVA, R. A. da; PEREIRA, J. D. B.; LEMOS, L. do N.; SILVA, W. R. da. Espécies de Anastrepha associadas a frutíferas de expressão socioeconômica no Estado do Amapá, Brasil. Revista de Agricultura, Piracicaba, v. 85, n. 3, p. 207-217, nov./dez. 2010.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: B - 3 |
| Biblioteca(s): Embrapa Amapá. |
|    |
| 4. | | ADAIME, R.; LEMOS, L. do N.; SOUZA-FILHO, M. F. de; SAVARIS, M.; ZUCCHI, R. A. Melanoloma viatrix Hendel, 1911 (Diptera: Richardiidae). In: SANTOS, R. S.; ADAIME, R.; FAZOLIN, M.; SILVA, N. M. da (ed.). Entomologia agrícola e florestal na Amazônia: desafios e oportunidades de pesquisa. Brasília, DF: Embrapa, 2026. cap. 48, p. 453-460.| Tipo: Capítulo em Livro Técnico-Científico |
| Biblioteca(s): Embrapa Amapá. |
| |
| 8. | | LEMOS, L. do N.; LIMA, C. R.; DEUS, E. da G. de; SILVA, R. A. da; GODOY, M. J. S. Novos registros de hospedeiros para Bactrocera carambolae (Diptera: Tephritidae) no Estado do Amapá, Brasil. In: CONGRESSO BRASILEIRO DE ENTOMOLOGIA, 23., 2010, Natal. Anais... Natal: Sociedade Brasileira de Entomologia, 2010. Resumo simples.| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Amapá. |
| |
| 9. | | ADAIME, R.; LIMA, A. L.; JESUS, C. R. de; LEMOS, L. do N.; SOUZA-FILHO, M. F. de; CASTILHO, A. P. Bactrocera carambolae Drew & Hancock, 1994 (Diptera: Tephritidae). In: SANTOS, R. S.; ADAIME, R.; FAZOLIN, M.; SILVA, N. M. da (ed.). Entomologia agrícola e florestal na Amazônia: desafios e oportunidades de pesquisa. Brasília, DF: Embrapa, 2026. cap. 12, p. 101-126.| Tipo: Capítulo em Livro Técnico-Científico |
| Biblioteca(s): Embrapa Amapá; Embrapa Pecuária Sul. |
| |
| 10. | | COSTA, J. V. T. A.; SOUSA, M. do S. M. de; SOUZA-FILHO, M. F. de; LEMOS, L. do N.; PANTOJA, E. V.; NAVA, D. E.; ADAIME, R. First record of papaya as host of carambola fruit fly in Brazil. Entomological Communications, v. 6, ec06024, 2024.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: C - 0 |
| Biblioteca(s): Embrapa Amapá; Embrapa Clima Temperado. |
| |
| 11. | | ADAIME, R.; LEMOS, L. do N.; BELO, A. P. D.; ANJOS, I. L. dos; SOUZA-FILHO, M. F. de; SAVARIS, M.; ZUCCHI, R. A. Melanoloma viatrix Hendel (Diptera, Richardiidae): New Pest of Pineapple Plantations in the North of Brazil. Neotropical Entomology, v. 53, p. 1002-1008, 2024.| Tipo: Nota Técnica/Nota Científica |
| Biblioteca(s): Embrapa Amapá. |
|  |
| 13. | | LEMOS, L. do N.; DEUS, E. da G. de; NASCIMENTO, D. B.; JESUS-BARROS, C. R. de; COSTA-NETO, S. V. da; ADAIME, R. Species of Anastrepha (Diptera: Tephritidae), their host plants, and parasitoids in small fruit production areas in the State of Amapá, Brazil. Florida Entomologist, v. 100, n. 2, p. 403-410, June, 2017.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: B - 1 |
| Biblioteca(s): Embrapa Amapá. |
| |
| 14. | | LEMOS, L. do N.; SILVA, R. A. da; JESUS, C. R. de; SILVA, W. R. da; DEUS, E. da G.; NASCIMENTO, D. B. do; SOUZA FILHO, M. F. de. Índice de infestação de taperebá (Spondias mombin) por Anastrepha spp. (Dip., Tephritidae) em quatro municípios do estado do Amapá. In: CONGRESSO BRASILEIRO DE ENTOMOLOGIA, 22., 2008, Uberlândia. Ciência, tecnologia e inovação: resumos. Viçosa: UFV, 2008. 1 CD-ROM. Resumo 1541-2.| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Amapá. |
| |
| 15. | | BELO, A. P. D.; ROCHA, L. M. da S.; CORRÊA, J. M. G.; FERREIRA, R. M. dos A.; COSTA-NETO, S. V. da; SOUSA, M. do S. M. de; ADAIME, R.; LEMOS, L. do N. New host plants records of Bactrocera carambolae Drew & Hancock, 1994 and Anastrepha spp. (Diptera: Tephritidae) in Brazil. Entomological Communications, v. 2, ec02036, 2020.| Tipo: Nota Técnica/Nota Científica |
| Biblioteca(s): Embrapa Amapá. |
| |
| 16. | | SOUSA, M. do S. M. de; DEUS, E. de; LIMA, A. L.; JESUS, C. R. de; COSTA NETO, S. V. da; LEMOS, L. do N.; MALHADO, A. C. M.; LADLE, R. J.; ADAIME, R. Spondias mombin as a reservoir of fruit fly parasitoid populations in the Eastern Amazon: an undervalued ecosystem service. PeerJ, Jun. p. 1-23, 2021.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
| Biblioteca(s): Embrapa Amapá. |
| |
| Registros recuperados : 16 | |
|
| Expressão de busca inválida. Verifique!!! |
|
|
