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Registro Completo |
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Biblioteca(s): |
Embrapa Gado de Corte. |
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Data corrente: |
16/12/2009 |
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Data da última atualização: |
08/04/2020 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
NOBRE, P. R. C.; ROSA, A. do N.; SILVA, L. O. C. da. |
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Afiliação: |
PAULO ROBERTO COSTA NOBRE, GENEPLUS; ANTONIO DO NASCIMENTO ROSA, CNPGC; LUIZ OTAVIO CAMPOS DA SILVA, CNPGC. |
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Título: |
Genetic evaluation for large data sets by random regression models in Nellore cattle. |
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Ano de publicação: |
2009 |
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Fonte/Imprenta: |
Arquivo Brasileiro de Medicina Veterinária e Zootecnia, Belo Horizonte, v. 61, n.4, p. 959-967, ago. 2009. |
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Idioma: |
Inglês |
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Notas: |
Título em português: Avaliação genética para grandes massas de dados por meio de modelos de regressão aleatória em gado Nelore. |
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Conteúdo: |
Expected progeny differences (EPD) of Nellore cattle estimated by random regression model (RRM) and multiple trait model (MTM) were compared. Genetic evaluation data included 3,819,895 records of up nine sequential weights of 963,227 animals measured at ages ranging from one day (birth weight) to 733 days. Traits considered were weights at birth, ten to 110-day old, 102 to 202-day old, 193 to 293-day old, 283 to 383-day old, 376 to 476-day old, 551 to 651-day old, and 633 to 733-day old. Seven data samples were created. Because the parameters estimates biologically were better, two of them were chosen: one with 84,426 records and another with 72,040. Records preadjusted to a fixed age were analyzed by a MTM, which included the effects of contemporary group, age of dam class, additive direct, additive maternal, and maternal permanent environment. Analyses were carried out by REML, with five traits at a time. The RRM included the effects of age of animal, contemporary group, age of dam class, additive direct, permanent environment, additive maternal, and maternal permanent environment. Different degree of Legendre polynomials were used to describe random effects. MTM estimated covariance components and genetic parameters for weight at birth and sequential weights and RRM for all ages. Due to the fact that correlation among the estimates EPD from MTM and all the tested RM were not equal to 1.0, it is not possible to recommend RRM to genetic evaluation to large data sets. |
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Palavras-Chave: |
Bovino de corte; Nelore; Regressão aleatória. |
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Thesagro: |
Melhoramento Genético Animal. |
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Categoria do assunto: |
L Ciência Animal e Produtos de Origem Animal |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/212231/1/Genetic-evaluation-for-large-data.pdf
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Marc: |
LEADER 02266naa a2200205 a 4500
001 1578158
005 2020-04-08
008 2009 bl uuuu u00u1 u #d
100 1 $aNOBRE, P. R. C.
245 $aGenetic evaluation for large data sets by random regression models in Nellore cattle.
260 $c2009
500 $aTítulo em português: Avaliação genética para grandes massas de dados por meio de modelos de regressão aleatória em gado Nelore.
520 $aExpected progeny differences (EPD) of Nellore cattle estimated by random regression model (RRM) and multiple trait model (MTM) were compared. Genetic evaluation data included 3,819,895 records of up nine sequential weights of 963,227 animals measured at ages ranging from one day (birth weight) to 733 days. Traits considered were weights at birth, ten to 110-day old, 102 to 202-day old, 193 to 293-day old, 283 to 383-day old, 376 to 476-day old, 551 to 651-day old, and 633 to 733-day old. Seven data samples were created. Because the parameters estimates biologically were better, two of them were chosen: one with 84,426 records and another with 72,040. Records preadjusted to a fixed age were analyzed by a MTM, which included the effects of contemporary group, age of dam class, additive direct, additive maternal, and maternal permanent environment. Analyses were carried out by REML, with five traits at a time. The RRM included the effects of age of animal, contemporary group, age of dam class, additive direct, permanent environment, additive maternal, and maternal permanent environment. Different degree of Legendre polynomials were used to describe random effects. MTM estimated covariance components and genetic parameters for weight at birth and sequential weights and RRM for all ages. Due to the fact that correlation among the estimates EPD from MTM and all the tested RM were not equal to 1.0, it is not possible to recommend RRM to genetic evaluation to large data sets.
650 $aMelhoramento Genético Animal
653 $aBovino de corte
653 $aNelore
653 $aRegressão aleatória
700 1 $aROSA, A. do N.
700 1 $aSILVA, L. O. C. da
773 $tArquivo Brasileiro de Medicina Veterinária e Zootecnia, Belo Horizonte$gv. 61, n.4, p. 959-967, ago. 2009.
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Registro original: |
Embrapa Gado de Corte (CNPGC) |
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Registro Completo
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Biblioteca(s): |
Embrapa Cerrados. |
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Data corrente: |
26/08/2020 |
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Data da última atualização: |
26/08/2020 |
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Tipo da produção científica: |
Circular Técnica |
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Autoria: |
SOUZA, K. W. de; PULROLNIK, K.; GUIMARAES JUNIOR, R.; MARCHAO, R. L.; VILELA, L.; CARVALHO, A. M. de; MACIEL, G. A.; MORAES NETO, S. P. de; OLIVEIRA, A. D. de. |
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Afiliação: |
KLEBERSON WORSLLEY DE SOUZA, CPAC; KARINA PULROLNIK, CPAC; ROBERTO GUIMARAES JUNIOR, CPAC; ROBELIO LEANDRO MARCHAO, CPAC; LOURIVAL VILELA, CPAC; ARMINDA MOREIRA DE CARVALHO, CPAC; GIOVANA ALCANTARA MACIEL, CPAC; SEBASTIAO PIRES DE MORAES NETO, CPAC; ALEXSANDRA DUARTE DE OLIVEIRA, CPAC. |
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Título: |
Offsetting greenhouse gas (GHG) emissions through croplivestock-forest integration. |
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Ano de publicação: |
2020 |
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Fonte/Imprenta: |
Planaltina, DF: Embrapa Cerrados, 2020. 13 p. |
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Páginas: |
13 p. |
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Série: |
(Embrapa Cerrados. Circular Técnica, 43). |
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Idioma: |
Português |
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Palavras-Chave: |
ILPF; Integração lavoura pecuária floresta. |
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Thesagro: |
Efeito Estufa; Gás; Pecuária. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/215587/1/CT-43-Kleberson-Worslley.pdf
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Marc: |
LEADER 00843nam a2200277 a 4500
001 2124567
005 2020-08-26
008 2020 bl uuuu u0uu1 u #d
100 1 $aSOUZA, K. W. de
245 $aOffsetting greenhouse gas (GHG) emissions through croplivestock-forest integration.$h[electronic resource]
260 $aPlanaltina, DF: Embrapa Cerrados, 2020. 13 p.$c2020
300 $a13 p.
490 $a(Embrapa Cerrados. Circular Técnica, 43).
650 $aEfeito Estufa
650 $aGás
650 $aPecuária
653 $aILPF
653 $aIntegração lavoura pecuária floresta
700 1 $aPULROLNIK, K.
700 1 $aGUIMARAES JUNIOR, R.
700 1 $aMARCHAO, R. L.
700 1 $aVILELA, L.
700 1 $aCARVALHO, A. M. de
700 1 $aMACIEL, G. A.
700 1 $aMORAES NETO, S. P. de
700 1 $aOLIVEIRA, A. D. de
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