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Registro Completo |
Biblioteca(s): |
Embrapa Suínos e Aves. |
Data corrente: |
02/12/2015 |
Data da última atualização: |
15/04/2019 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Autoria: |
FREITAS, M. S. de; FREITAS, L. S.; WEBER, T.; YAMAKI, M; CANTAO, M. E.; PEIXOTO, J. de O.; LEDUR, M. C. |
Afiliação: |
MARCELO SILVA DE FREITAS, BRF; LUCIANA SALLES FREITAS, BRF; BRF; BRF; MAURICIO EGIDIO CANTAO, CNPSA; JANE DE OLIVEIRA PEIXOTO, CNPSA; MONICA CORREA LEDUR, CNPSA. |
Título: |
Comparison of iterated single-step and Bayesian regressions on genomic evaluations for age at 100 kg in swine. |
Ano de publicação: |
2015 |
Fonte/Imprenta: |
Journal of Animal Science, v. 93, n. 10, p. 4675-4683, 2015. |
DOI: |
10.2527/jas.2014-8842 |
Idioma: |
Inglês |
Conteúdo: |
Abstract: The effects of modified single-step genomic best linear unbiased prediction (ssGBLUP) iterations on GEBV and SNP were investigated using 85,388 age at 100 kg phenotypes from the BRF SA breeding program Landrace pure line animals, off-tested between 2002 and 2013. Pedigree data comprised animals born between 1999 and 2013. A total of 1,068 animals were assigned to the training population, in which all of them had genotypes, original and corrected age at 100 kg phenotypes, and weighted deregressed proof records. A total of 100 genotyped animals, with high accuracy age at 100 kg estimated breeding values, were assigned to the validation population. After applying the quality control workflow, a set of 41,042 SNP was used for the analysis. Standard and modified ssGBLUP, BayesC?, and Bayesian Lasso were compared, and their predictive abilities were accessed by approximate true and GEBV correlations. Modified ssGBLUP iteration effects on SNP estimates and GEBV were relevant, in which assigned differential weights and shrinkage caused important losses on ssGBLUP predictive ability for age at 100 kg GEBV. Even though ssGBLUP accuracy can be equal or better than the compared Bayesian methods, additional gains can be obtained by correctly identifying the number of iterations required for best ssGBLUP performance. |
Thesagro: |
Melhoramento genético animal; Suíno. |
Thesaurus Nal: |
Molecular genetics; Swine. |
Categoria do assunto: |
-- |
Marc: |
LEADER 02100naa a2200253 a 4500 001 2030401 005 2019-04-15 008 2015 bl uuuu u00u1 u #d 024 7 $a10.2527/jas.2014-8842$2DOI 100 1 $aFREITAS, M. S. de 245 $aComparison of iterated single-step and Bayesian regressions on genomic evaluations for age at 100 kg in swine.$h[electronic resource] 260 $c2015 520 $aAbstract: The effects of modified single-step genomic best linear unbiased prediction (ssGBLUP) iterations on GEBV and SNP were investigated using 85,388 age at 100 kg phenotypes from the BRF SA breeding program Landrace pure line animals, off-tested between 2002 and 2013. Pedigree data comprised animals born between 1999 and 2013. A total of 1,068 animals were assigned to the training population, in which all of them had genotypes, original and corrected age at 100 kg phenotypes, and weighted deregressed proof records. A total of 100 genotyped animals, with high accuracy age at 100 kg estimated breeding values, were assigned to the validation population. After applying the quality control workflow, a set of 41,042 SNP was used for the analysis. Standard and modified ssGBLUP, BayesC?, and Bayesian Lasso were compared, and their predictive abilities were accessed by approximate true and GEBV correlations. Modified ssGBLUP iteration effects on SNP estimates and GEBV were relevant, in which assigned differential weights and shrinkage caused important losses on ssGBLUP predictive ability for age at 100 kg GEBV. Even though ssGBLUP accuracy can be equal or better than the compared Bayesian methods, additional gains can be obtained by correctly identifying the number of iterations required for best ssGBLUP performance. 650 $aMolecular genetics 650 $aSwine 650 $aMelhoramento genético animal 650 $aSuíno 700 1 $aFREITAS, L. S. 700 1 $aWEBER, T. 700 1 $aYAMAKI, M 700 1 $aCANTAO, M. E. 700 1 $aPEIXOTO, J. de O. 700 1 $aLEDUR, M. C. 773 $tJournal of Animal Science$gv. 93, n. 10, p. 4675-4683, 2015.
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Registro original: |
Embrapa Suínos e Aves (CNPSA) |
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Biblioteca(s): |
Embrapa Meio-Norte. |
Data corrente: |
21/08/2017 |
Data da última atualização: |
21/08/2017 |
Tipo da produção científica: |
Folder/Folheto/Cartilha |
Autoria: |
ROCHA, M. de M.; ALMEIDA, M. J. de O.; SILVA, K. J. D. e; NEVES, A. C. das. |
Afiliação: |
MAURISRAEL DE MOURA ROCHA, CPAMN; MARCOS JACOB DE OLIVEIRA ALMEIDA, CPAMN; KAESEL JACKSON DAMASCENO E SILVA, CPAMN; ADAO CABRAL DAS NEVES, CPAMN. |
Título: |
BioFORT: saúde na mesa do brasileiro. |
Ano de publicação: |
2014 |
Fonte/Imprenta: |
Teresina: Embrapa Meio-Norte, 2014. |
Descrição Física: |
1 folder. |
Idioma: |
Português |
Palavras-Chave: |
Alimento biofortificado. |
Thesagro: |
Feijão de Corda; Vigna Unguiculata. |
Categoria do assunto: |
F Plantas e Produtos de Origem Vegetal |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/162838/1/BioFort.pdf
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Marc: |
LEADER 00520nam a2200181 a 4500 001 2074213 005 2017-08-21 008 2014 bl uuuu u0uu1 u #d 100 1 $aROCHA, M. de M. 245 $aBioFORT$bsaúde na mesa do brasileiro.$h[electronic resource] 260 $aTeresina: Embrapa Meio-Norte$c2014 300 $c1 folder. 650 $aFeijão de Corda 650 $aVigna Unguiculata 653 $aAlimento biofortificado 700 1 $aALMEIDA, M. J. de O. 700 1 $aSILVA, K. J. D. e 700 1 $aNEVES, A. C. das
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