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 | Acesso ao texto completo restrito à biblioteca da Embrapa Gado de Leite. Para informações adicionais entre em contato com cnpgl.biblioteca@embrapa.br. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Gado de Leite. |
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Data corrente: |
12/04/2013 |
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Data da última atualização: |
09/02/2024 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
SANTOS, D. J. A.; PEIXOTO, M. G. C. D.; BORQUIS, R. R. A.; VERNEQUE, R. da S.; PANETTO, J. C. do C.; TONHATI, H. |
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Afiliação: |
D. J. A. SANTOS, UNESP; MARIA GABRIELA CAMPOLINA D PEIXOTO, CNPGL; R. R. ASPILCUETA BORQUIS, UNESP; RUI DA SILVA VERNEQUE, CNPGL; JOAO CLAUDIO DO CARMO PANETTO, CNPGL; H. TONHATI, UNESP. |
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Título: |
Comparison of random regression models to estimate genetic parameters for milk production in guzerat (Bos indicus) cows. |
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Ano de publicação: |
2013 |
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Fonte/Imprenta: |
Genetics and Molecular Research, v. 12, n. 1, p. 143-153, 2013. |
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DOI: |
https://doi.org/10.4238/2013.January.24.6 |
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Idioma: |
Inglês |
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Conteúdo: |
Random regression models have been widely used to estimate genetic parameters that influence milk production in Bos taurus breeds, and more recently in B. indicus breeds. With the aim of finding appropriate random regression model to analyze milk yield, different parametric functions were compared, applied to 20,524 test-day milk yield records of 2816 first-lactation Guzerat (B. indicus) cows in Brazilian herds. The records were analyzed by random regression models whose random effects were additive genetic, permanent environmental and residual, and whose fixed effects were contemporary group, the covariable cow age at calving (linear and quadratic effects), and the herd lactation curve. The additive genetic and permanent environmental effects were modeled by the Wilmink function, a modified Wilmink function (with the second term divided by 100), a function that combined third-order Legendre polynomials with the last term of the Wilmink function, and the Ali and Schaeffer function. The residual variances were modeled by means of 1, 4, 6, or 10 heterogeneous classes, with the exception of the last term of the Wilmink function, for which there were 1, 3, 6, or 10 classes. The models gave similar hereditability estimates, ranging from 0.20 to 0.33. Genetic correlations between adjacent records were high values (0.83-0.99), but they declined when the interval between the test-day records increased, and were negative between the first and last records. The model employing the Ali and Schaeffer function with six residual variance classes was the most suitable for fitting the data. Random regression models have been widely used to estimate genetic parameters that influence milk production in Bos taurus breeds, and more recently in B. indicus breeds. With the aim of finding appropriate random regression model to analyze milk yield, different parametric functions were compared, applied to 20,524 test-day milk yield records of 2816 first-lactation Guzerat (B. indicus) cows in Brazilian herds. The records were analyzed by random regression models whose random effects were additive genetic, permanent environmental and residual, and whose fixed effects were contemporary group, the covariable cow age at calving (linear and quadratic effects), and the herd lactation curve. The additive genetic and permanent environmental effects were modeled by the Wilmink function, a modified Wilmink function (with the second term divided by 100), a function that combined third-order Legendre polynomials with the last term of the Wilmink function, and the Ali and Schaeffer function. The residual variances were modeled by means of 1, 4, 6, or 10 heterogeneous classes, with the exception of the last term of the Wilmink function, for which there were 1, 3, 6, or 10 classes. The models gave similar hereditability estimates, ranging from 0.20 to 0.33. Genetic correlations between adjacent records were high values (0.83-0.99), but they declined when the interval between the test-day records increased, and were negative between the first and last records. The model employing the Ali and Schaeffer function with six residual variance classes was the most suitable for fitting the data. MenosRandom regression models have been widely used to estimate genetic parameters that influence milk production in Bos taurus breeds, and more recently in B. indicus breeds. With the aim of finding appropriate random regression model to analyze milk yield, different parametric functions were compared, applied to 20,524 test-day milk yield records of 2816 first-lactation Guzerat (B. indicus) cows in Brazilian herds. The records were analyzed by random regression models whose random effects were additive genetic, permanent environmental and residual, and whose fixed effects were contemporary group, the covariable cow age at calving (linear and quadratic effects), and the herd lactation curve. The additive genetic and permanent environmental effects were modeled by the Wilmink function, a modified Wilmink function (with the second term divided by 100), a function that combined third-order Legendre polynomials with the last term of the Wilmink function, and the Ali and Schaeffer function. The residual variances were modeled by means of 1, 4, 6, or 10 heterogeneous classes, with the exception of the last term of the Wilmink function, for which there were 1, 3, 6, or 10 classes. The models gave similar hereditability estimates, ranging from 0.20 to 0.33. Genetic correlations between adjacent records were high values (0.83-0.99), but they declined when the interval between the test-day records increased, and were negative between the first and last records. The model employing the Ali... Mostrar Tudo |
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Palavras-Chave: |
Função de covariância; Funções paramétricas; Teste do dia-a produção de leite. |
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Thesaurus Nal: |
zebu. |
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Categoria do assunto: |
G Melhoramento Genético |
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Marc: |
LEADER 04023naa a2200241 a 4500
001 1955810
005 2024-02-09
008 2013 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.4238/2013.January.24.6$2DOI
100 1 $aSANTOS, D. J. A.
245 $aComparison of random regression models to estimate genetic parameters for milk production in guzerat (Bos indicus) cows.$h[electronic resource]
260 $c2013
520 $aRandom regression models have been widely used to estimate genetic parameters that influence milk production in Bos taurus breeds, and more recently in B. indicus breeds. With the aim of finding appropriate random regression model to analyze milk yield, different parametric functions were compared, applied to 20,524 test-day milk yield records of 2816 first-lactation Guzerat (B. indicus) cows in Brazilian herds. The records were analyzed by random regression models whose random effects were additive genetic, permanent environmental and residual, and whose fixed effects were contemporary group, the covariable cow age at calving (linear and quadratic effects), and the herd lactation curve. The additive genetic and permanent environmental effects were modeled by the Wilmink function, a modified Wilmink function (with the second term divided by 100), a function that combined third-order Legendre polynomials with the last term of the Wilmink function, and the Ali and Schaeffer function. The residual variances were modeled by means of 1, 4, 6, or 10 heterogeneous classes, with the exception of the last term of the Wilmink function, for which there were 1, 3, 6, or 10 classes. The models gave similar hereditability estimates, ranging from 0.20 to 0.33. Genetic correlations between adjacent records were high values (0.83-0.99), but they declined when the interval between the test-day records increased, and were negative between the first and last records. The model employing the Ali and Schaeffer function with six residual variance classes was the most suitable for fitting the data. Random regression models have been widely used to estimate genetic parameters that influence milk production in Bos taurus breeds, and more recently in B. indicus breeds. With the aim of finding appropriate random regression model to analyze milk yield, different parametric functions were compared, applied to 20,524 test-day milk yield records of 2816 first-lactation Guzerat (B. indicus) cows in Brazilian herds. The records were analyzed by random regression models whose random effects were additive genetic, permanent environmental and residual, and whose fixed effects were contemporary group, the covariable cow age at calving (linear and quadratic effects), and the herd lactation curve. The additive genetic and permanent environmental effects were modeled by the Wilmink function, a modified Wilmink function (with the second term divided by 100), a function that combined third-order Legendre polynomials with the last term of the Wilmink function, and the Ali and Schaeffer function. The residual variances were modeled by means of 1, 4, 6, or 10 heterogeneous classes, with the exception of the last term of the Wilmink function, for which there were 1, 3, 6, or 10 classes. The models gave similar hereditability estimates, ranging from 0.20 to 0.33. Genetic correlations between adjacent records were high values (0.83-0.99), but they declined when the interval between the test-day records increased, and were negative between the first and last records. The model employing the Ali and Schaeffer function with six residual variance classes was the most suitable for fitting the data.
650 $azebu
653 $aFunção de covariância
653 $aFunções paramétricas
653 $aTeste do dia-a produção de leite
700 1 $aPEIXOTO, M. G. C. D.
700 1 $aBORQUIS, R. R. A.
700 1 $aVERNEQUE, R. da S.
700 1 $aPANETTO, J. C. do C.
700 1 $aTONHATI, H.
773 $tGenetics and Molecular Research$gv. 12, n. 1, p. 143-153, 2013.
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Registro original: |
Embrapa Gado de Leite (CNPGL) |
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Biblioteca |
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Classificação |
Cutter |
Registro |
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Registro Completo
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Biblioteca(s): |
Embrapa Gado de Corte. |
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Data corrente: |
06/02/2018 |
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Data da última atualização: |
19/03/2019 |
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Tipo da produção científica: |
Comunicado Técnico/Recomendações Técnicas |
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Autoria: |
BARRIOS, S. C. L.; CARROMEU, C.; SILVA, M. A. I. da; SANTOS, M. F.; VALLE, C. B. do; JANK, L. |
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Afiliação: |
SANZIO CARVALHO LIMA BARRIOS, CNPGC; CAMILO CARROMEU, CNPGC; Márcio Aparecido Inácio da Silva, Faculdade de Computação da Universidade Federal do Mato Grosso do Sul; MATEUS FIGUEIREDO SANTOS, CNPGC; CACILDA BORGES DO VALLE, CNPGC; LIANA JANK, CNPGC. |
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Título: |
Pasto Certo - versão 1.0® aplicativo para dispositivos móveis sobre forrageiras tropicais. |
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Ano de publicação: |
2017 |
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Fonte/Imprenta: |
Brasília, DF: Embrapa, 2017. |
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Páginas: |
6 p. |
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Série: |
(Embrapa Gado de Corte. Comunicado técnico, 142). |
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Idioma: |
Português |
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Conteúdo: |
O Pasto Certo é um aplicativo para dispositivos móveis sobre cultivares de forrageiras tropicais lançadas pela Embrapa e outras de domínio público. A versão 1.0 do Pasto Certo é composta por 16 cultivares de forrageiras (dez de Brachiaria e seis de Panicum maximum) e 107 variáveis, que caracterizam as cultivares, agrupadas em seis categorias: identidade, morfologia, agronômico, pastejo, sistemas integrados e estádio juvenil. Esse aplicativo auxilia na identificação/diferenciação de cultivares, informa as principais recomendações e restrições de uso e compara simultaneamente diferentes cultivares para diversas características. O Aplicativo, disponível na Google Play para smartphones que possuem sistema operacional Android, é de fácil uso, gratuito, funciona off-line, permite a contribuição dos usuários e é dinâmico, sendo atualizado continuamente. Com essas funcionalidades o aplicativo Pasto Certo oferece uma solução eficiente para orientar o usuário na escolha da cultivar, sua implantação, estabelecimento e manejo correto de pastagens tropicais. |
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Palavras-Chave: |
Aplicativo; Dispositivo movel; Escolha da cultivar; Pastagem tropical. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/172223/1/Pasto-Certo-versao-1.0.pdf
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Marc: |
LEADER 01814nam a2200241 a 4500
001 2087190
005 2019-03-19
008 2017 bl uuuu u0uu1 u #d
100 1 $aBARRIOS, S. C. L.
245 $aPasto Certo - versão 1.0® aplicativo para dispositivos móveis sobre forrageiras tropicais.$h[electronic resource]
260 $aBrasília, DF: Embrapa$c2017
300 $a6 p.
490 $a(Embrapa Gado de Corte. Comunicado técnico, 142).
520 $aO Pasto Certo é um aplicativo para dispositivos móveis sobre cultivares de forrageiras tropicais lançadas pela Embrapa e outras de domínio público. A versão 1.0 do Pasto Certo é composta por 16 cultivares de forrageiras (dez de Brachiaria e seis de Panicum maximum) e 107 variáveis, que caracterizam as cultivares, agrupadas em seis categorias: identidade, morfologia, agronômico, pastejo, sistemas integrados e estádio juvenil. Esse aplicativo auxilia na identificação/diferenciação de cultivares, informa as principais recomendações e restrições de uso e compara simultaneamente diferentes cultivares para diversas características. O Aplicativo, disponível na Google Play para smartphones que possuem sistema operacional Android, é de fácil uso, gratuito, funciona off-line, permite a contribuição dos usuários e é dinâmico, sendo atualizado continuamente. Com essas funcionalidades o aplicativo Pasto Certo oferece uma solução eficiente para orientar o usuário na escolha da cultivar, sua implantação, estabelecimento e manejo correto de pastagens tropicais.
653 $aAplicativo
653 $aDispositivo movel
653 $aEscolha da cultivar
653 $aPastagem tropical
700 1 $aCARROMEU, C.
700 1 $aSILVA, M. A. I. da
700 1 $aSANTOS, M. F.
700 1 $aVALLE, C. B. do
700 1 $aJANK, L.
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