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Registro Completo |
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Biblioteca(s): |
Embrapa Amazônia Oriental; Embrapa Pecuária Sudeste. |
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Data corrente: |
14/08/2013 |
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Data da última atualização: |
12/05/2023 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
GARNERO, A. D. V.; MARCONDES, C. R.; ALBUQUERQUE, N. I. de; ARAÚJO, R. O.; PENDU, Y.; GUIMARÃES, D. A. |
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Afiliação: |
A. D. V. GARNERO, Universidade Federal do Pampa; CINTIA RIGHETTI MARCONDES, CPPSE; NATALIA INAGAKI DE ALBUQUERQUE, CPATU; R. O. ARAÚJO, Universidade de Brasília; Y. PENDU, Universidade Federal do Pará; D. A. GUIMARÃES, Universidade Federal do Pará. |
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Título: |
Growth curve of female collared peccaries (Pecari tajacu) raised in captivity in the Brazilian Amazon Region. |
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Ano de publicação: |
2013 |
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Fonte/Imprenta: |
Arquivo Brasileiro Medicina Veterinária e Zootecnia, v. 65, n. 4, p. 961-966, 2013. |
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DOI: |
https://doi.org/10.1590/S0102-09352013000400004 |
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Idioma: |
Inglês |
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Conteúdo: |
This work aims to determine the most suitable nonlinear model to describe the growth of female collared peccaries (Pecari tajacu). The monthly records of the weight of 10 captive female collared peccaries over a period of two years in the Brazilian Amazon Region were used. The growth models used were the Von Bertalanffy, Brody, Gompertz and Logistic. The parameters were estimated by using the NLIN procedure from the SAS application. The criteria used to verify the adjustment of the models were: asymptotic standard deviation (ASD); coefficient of determination (R²); average absolute residual deviation (ARD) and the asymptotic rate (AR). The Brody model and the Logistic model estimated the highest (19.44kg) and the lowest (19.18kg) asymptotic weight (A), indicating the lowest (0.0070kg/day) and the highest (0.0121kg/day) maturation rate (K). These results and the coefficients of phenotypic correlation that varied from -0.75 and -0.47 confirmed the antagonistic nature between these parameters. The Brody model estimated the lower value for ARD, a limiting factor for describing the lowest value for AR through this model. The Brody model showed the best adjustment for AR, although the other models also showed a suitable adjustment to the weight data of said species/gender. Based on the AR obtained in this work, the Brody model is recommended for adjusting the growth curve of the female collared peccaries. Depending on the estimated values, especially for K, this trait can be included in a selection index. MenosThis work aims to determine the most suitable nonlinear model to describe the growth of female collared peccaries (Pecari tajacu). The monthly records of the weight of 10 captive female collared peccaries over a period of two years in the Brazilian Amazon Region were used. The growth models used were the Von Bertalanffy, Brody, Gompertz and Logistic. The parameters were estimated by using the NLIN procedure from the SAS application. The criteria used to verify the adjustment of the models were: asymptotic standard deviation (ASD); coefficient of determination (R²); average absolute residual deviation (ARD) and the asymptotic rate (AR). The Brody model and the Logistic model estimated the highest (19.44kg) and the lowest (19.18kg) asymptotic weight (A), indicating the lowest (0.0070kg/day) and the highest (0.0121kg/day) maturation rate (K). These results and the coefficients of phenotypic correlation that varied from -0.75 and -0.47 confirmed the antagonistic nature between these parameters. The Brody model estimated the lower value for ARD, a limiting factor for describing the lowest value for AR through this model. The Brody model showed the best adjustment for AR, although the other models also showed a suitable adjustment to the weight data of said species/gender. Based on the AR obtained in this work, the Brody model is recommended for adjusting the growth curve of the female collared peccaries. Depending on the estimated values, especially for K, this trait can be inclu... Mostrar Tudo |
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Palavras-Chave: |
Asymptotic weight; Cateto; Growth rate. |
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Thesagro: |
Taxa de Crescimento. |
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Thesaurus Nal: |
nonlinear models. |
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Categoria do assunto: |
G Melhoramento Genético
L Ciência Animal e Produtos de Origem Animal |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/94297/1/PROCI-2013.00086.pdf
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/89073/1/artigo-analia.pdf
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Marc: |
LEADER 02354naa a2200253 a 4500
001 1964091
005 2023-05-12
008 2013 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1590/S0102-09352013000400004$2DOI
100 1 $aGARNERO, A. D. V.
245 $aGrowth curve of female collared peccaries (Pecari tajacu) raised in captivity in the Brazilian Amazon Region.$h[electronic resource]
260 $c2013
520 $aThis work aims to determine the most suitable nonlinear model to describe the growth of female collared peccaries (Pecari tajacu). The monthly records of the weight of 10 captive female collared peccaries over a period of two years in the Brazilian Amazon Region were used. The growth models used were the Von Bertalanffy, Brody, Gompertz and Logistic. The parameters were estimated by using the NLIN procedure from the SAS application. The criteria used to verify the adjustment of the models were: asymptotic standard deviation (ASD); coefficient of determination (R²); average absolute residual deviation (ARD) and the asymptotic rate (AR). The Brody model and the Logistic model estimated the highest (19.44kg) and the lowest (19.18kg) asymptotic weight (A), indicating the lowest (0.0070kg/day) and the highest (0.0121kg/day) maturation rate (K). These results and the coefficients of phenotypic correlation that varied from -0.75 and -0.47 confirmed the antagonistic nature between these parameters. The Brody model estimated the lower value for ARD, a limiting factor for describing the lowest value for AR through this model. The Brody model showed the best adjustment for AR, although the other models also showed a suitable adjustment to the weight data of said species/gender. Based on the AR obtained in this work, the Brody model is recommended for adjusting the growth curve of the female collared peccaries. Depending on the estimated values, especially for K, this trait can be included in a selection index.
650 $anonlinear models
650 $aTaxa de Crescimento
653 $aAsymptotic weight
653 $aCateto
653 $aGrowth rate
700 1 $aMARCONDES, C. R.
700 1 $aALBUQUERQUE, N. I. de
700 1 $aARAÚJO, R. O.
700 1 $aPENDU, Y.
700 1 $aGUIMARÃES, D. A.
773 $tArquivo Brasileiro Medicina Veterinária e Zootecnia$gv. 65, n. 4, p. 961-966, 2013.
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Registro original: |
Embrapa Pecuária Sudeste (CPPSE) |
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Registro Completo
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Biblioteca(s): |
Embrapa Agricultura Digital. |
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Data corrente: |
10/03/2014 |
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Data da última atualização: |
22/01/2020 |
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Tipo da produção científica: |
Resumo em Anais de Congresso |
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Autoria: |
SANTOS, J. W. dos; MANCINI, A. L.; BARIONI, L. G. |
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Afiliação: |
JEFFERSON WILLIAM DOS SANTOS, Fatec Americana; ADAUTO LUIZ MANCINI, CNPTIA; LUIS GUSTAVO BARIONI, CNPTIA. |
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Título: |
Um framework compacto e flexível em C++ para desenvolvimento modular de simulação de sistemas de hierarquia dinâmica. |
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Ano de publicação: |
2013 |
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Fonte/Imprenta: |
In: MOSTRA DE ESTAGIÁRIOS E BOLSISTAS DA EMBRAPA INFORMÁTICA AGROPECUÁRIA, 9., 2013, Campinas. Resumos... Brasília, DF: Embrapa, 2013. |
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Páginas: |
p. 111-114. |
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Idioma: |
Português |
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Palavras-Chave: |
Framework de simulação; Simulação de sistemas. |
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Thesaurus NAL: |
Computer software. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/98990/1/framework.pdf
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Marc: |
LEADER 00676nam a2200169 a 4500
001 1981986
005 2020-01-22
008 2013 bl uuuu u00u1 u #d
100 1 $aSANTOS, J. W. dos
245 $aUm framework compacto e flexível em C++ para desenvolvimento modular de simulação de sistemas de hierarquia dinâmica.$h[electronic resource]
260 $aIn: MOSTRA DE ESTAGIÁRIOS E BOLSISTAS DA EMBRAPA INFORMÁTICA AGROPECUÁRIA, 9., 2013, Campinas. Resumos... Brasília, DF: Embrapa$c2013
300 $ap. 111-114.
650 $aComputer software
653 $aFramework de simulação
653 $aSimulação de sistemas
700 1 $aMANCINI, A. L.
700 1 $aBARIONI, L. G.
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Embrapa Agricultura Digital (CNPTIA) |
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