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 | Acesso ao texto completo restrito à biblioteca da Embrapa Pecuária Sul. Para informações adicionais entre em contato com cppsul.biblioteca@embrapa.br. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Pecuária Sul. |
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Data corrente: |
08/01/2019 |
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Data da última atualização: |
08/01/2019 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
PICCOLI, M. L.; BRITO, L. F.; BRACCINI, J.; BRITO, F. V.; CARDOSO, F. F.; COBUCI, J. A.; SARGOLZAEI, M.; SCHENKEL, F. S. |
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Afiliação: |
Mario L. Piccoli, UFRGS; Luiz F. Brito, University of Guelph; José Braccini, UFRGS; Fernanda V. Brito, GenSys; FERNANDO FLORES CARDOSO, CPPSUL; Jaime A. Cobuci, UFRGS; Mehdi Sargolzaei, University of Guelph; Flávio S. Schenkel, University of Guelph. |
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Título: |
A comprehensive comparison between single- and two-step GBLUP methods in a simulated beef cattle population. |
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Ano de publicação: |
2018 |
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Fonte/Imprenta: |
Canadian Journal of Animal Science, v. 98, n. 3, p. 565-575, Sept. 2018. |
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DOI: |
dx.doi.org/10.1139/cjas-2017-0176 |
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Idioma: |
Inglês |
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Conteúdo: |
The statistical methods used in the genetic evaluations are a key component of the process and can be best compared by using simulated data. The latter is especially true in grazing beef cattle production systems, where the number of proven bulls with highly reliable estimated breeding values is limited to allow for a trustworthy validation of genomic predictions. Therefore, we simulated data for 4980 beef cattle aiming to compare single-step genomic best linear unbiased prediction (ssGBLUP), which simultaneously incorporates pedigree, phenotypic, and genomic data into genomic evaluations, and two-step GBLUP (tsGBLUP) procedures and genomic estimated breeding values (GEBVs) blending methods. The greatest increases in GEBV accuracies compared with the parents? average estimated breeding values (EBVPA) were 0.364 and 0.341 for ssGBLUP and tsGBLUP, respectively. Direct genomic value and GEBV accuracies when using ssGBLUP and tsGBLUP procedures were similar, except for the GEBV accuracies using Hayes? blending method in tsGBLUP. There was no significant or slight bias in genomic predictions from ssGBLUP or tsGBLUP (using VanRaden?s blending method), indicating that these predictions are on the same scale compared with the true breeding values. Overall, genetic evaluations including genomic information resulted in gains in accuracy >100% compared with the EBVPA. In addition, there were no significant differences between the selected animals (10% males and 50% females) by using ssGBLUP or tsGBLUP. MenosThe statistical methods used in the genetic evaluations are a key component of the process and can be best compared by using simulated data. The latter is especially true in grazing beef cattle production systems, where the number of proven bulls with highly reliable estimated breeding values is limited to allow for a trustworthy validation of genomic predictions. Therefore, we simulated data for 4980 beef cattle aiming to compare single-step genomic best linear unbiased prediction (ssGBLUP), which simultaneously incorporates pedigree, phenotypic, and genomic data into genomic evaluations, and two-step GBLUP (tsGBLUP) procedures and genomic estimated breeding values (GEBVs) blending methods. The greatest increases in GEBV accuracies compared with the parents? average estimated breeding values (EBVPA) were 0.364 and 0.341 for ssGBLUP and tsGBLUP, respectively. Direct genomic value and GEBV accuracies when using ssGBLUP and tsGBLUP procedures were similar, except for the GEBV accuracies using Hayes? blending method in tsGBLUP. There was no significant or slight bias in genomic predictions from ssGBLUP or tsGBLUP (using VanRaden?s blending method), indicating that these predictions are on the same scale compared with the true breeding values. Overall, genetic evaluations including genomic information resulted in gains in accuracy >100% compared with the EBVPA. In addition, there were no significant differences between the selected animals (10% males and 50% females) by using ss... Mostrar Tudo |
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Thesagro: |
Gado de Corte; Genoma; Melhoramento Genético Animal; Seleção. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 02337naa a2200265 a 4500
001 2103229
005 2019-01-08
008 2018 bl uuuu u00u1 u #d
024 7 $adx.doi.org/10.1139/cjas-2017-0176$2DOI
100 1 $aPICCOLI, M. L.
245 $aA comprehensive comparison between single- and two-step GBLUP methods in a simulated beef cattle population.$h[electronic resource]
260 $c2018
520 $aThe statistical methods used in the genetic evaluations are a key component of the process and can be best compared by using simulated data. The latter is especially true in grazing beef cattle production systems, where the number of proven bulls with highly reliable estimated breeding values is limited to allow for a trustworthy validation of genomic predictions. Therefore, we simulated data for 4980 beef cattle aiming to compare single-step genomic best linear unbiased prediction (ssGBLUP), which simultaneously incorporates pedigree, phenotypic, and genomic data into genomic evaluations, and two-step GBLUP (tsGBLUP) procedures and genomic estimated breeding values (GEBVs) blending methods. The greatest increases in GEBV accuracies compared with the parents? average estimated breeding values (EBVPA) were 0.364 and 0.341 for ssGBLUP and tsGBLUP, respectively. Direct genomic value and GEBV accuracies when using ssGBLUP and tsGBLUP procedures were similar, except for the GEBV accuracies using Hayes? blending method in tsGBLUP. There was no significant or slight bias in genomic predictions from ssGBLUP or tsGBLUP (using VanRaden?s blending method), indicating that these predictions are on the same scale compared with the true breeding values. Overall, genetic evaluations including genomic information resulted in gains in accuracy >100% compared with the EBVPA. In addition, there were no significant differences between the selected animals (10% males and 50% females) by using ssGBLUP or tsGBLUP.
650 $aGado de Corte
650 $aGenoma
650 $aMelhoramento Genético Animal
650 $aSeleção
700 1 $aBRITO, L. F.
700 1 $aBRACCINI, J.
700 1 $aBRITO, F. V.
700 1 $aCARDOSO, F. F.
700 1 $aCOBUCI, J. A.
700 1 $aSARGOLZAEI, M.
700 1 $aSCHENKEL, F. S.
773 $tCanadian Journal of Animal Science$gv. 98, n. 3, p. 565-575, Sept. 2018.
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Registro original: |
Embrapa Pecuária Sul (CPPSUL) |
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Registro Completo
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Biblioteca(s): |
Embrapa Hortaliças. |
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Data corrente: |
16/04/2008 |
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Data da última atualização: |
25/11/2010 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
Nacional - A |
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Autoria: |
MATTOS, L. M.; MORETTI, C. L.; CHITARRA, A. B.; PRADO, M. E. T. |
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Afiliação: |
Leonora Mansur Mattos, Embrapa Hortaliças; Celso Luiz Moretti, Embrapa Hortaliças; Admilson B. Chitarra, Ufla; Mônica E. T. Prado, Ufla. |
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Título: |
Qualidade de alface crespa minimamente processada armazenada sob refrigeração em dois sistema de embalagem. |
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Ano de publicação: |
2007 |
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Fonte/Imprenta: |
Horticultura Brasileira, Brasília, DF, v. 25, n. 4, p. 504-508. out./dez. 2007. |
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Idioma: |
Português |
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Palavras-Chave: |
Acidez titulável; Produto minimamente processado; Vida útil; Vida-de-prateleira. |
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Thesagro: |
Alface; Cor; Embalagem; Escurecimento; Lactuca Sativa; Processamento Mínimo. |
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Categoria do assunto: |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/23733/1/mattosqualidade.pdf
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Marc: |
LEADER 00802naa a2200265 a 4500
001 1780663
005 2010-11-25
008 2007 bl uuuu u00u1 u #d
100 1 $aMATTOS, L. M.
245 $aQualidade de alface crespa minimamente processada armazenada sob refrigeração em dois sistema de embalagem.
260 $c2007
650 $aAlface
650 $aCor
650 $aEmbalagem
650 $aEscurecimento
650 $aLactuca Sativa
650 $aProcessamento Mínimo
653 $aAcidez titulável
653 $aProduto minimamente processado
653 $aVida útil
653 $aVida-de-prateleira
700 1 $aMORETTI, C. L.
700 1 $aCHITARRA, A. B.
700 1 $aPRADO, M. E. T.
773 $tHorticultura Brasileira, Brasília, DF$gv. 25, n. 4, p. 504-508. out./dez. 2007.
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Embrapa Hortaliças (CNPH) |
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