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Registro Completo |
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Biblioteca(s): |
Embrapa Pecuária Sudeste. |
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Data corrente: |
22/01/2013 |
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Data da última atualização: |
16/02/2023 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
RIBEIRO, J. do S.; GONÇALVES, T. de M.; LADEIRA, M. M.; TULLIO, R. R.; CAMPOS, F. R.; BERGMANN, J. A. G.; MACHADO NETO, O. R.; CARVALHO, J. R. R. de. |
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Afiliação: |
JULIMAR DO SACRAMENTO RIBEIRO, Universidade Federal de Alagoas; TARCISIO DE MORAES GONÇALVES, Universidade Federal de Lavras; MÁRCIO MACHADO LADEIRA, Universidade Federal de Lavras; RYMER RAMIZ TULLIO, CPPSE; FABRÍCIO RODRIGUES CAMPOS, Universidade Federal de Lavras; JOSÉ AURÉLIO GARCIA BERGMANN, Universidade Federal de Minas Gerais; OTÁVIO RODRIGUES MACHADO NETO, Universidade Federal de Lavras; JOSÉ RODOLFO REIS DE CARVALHO, Universidade Federal de Lavras. |
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Título: |
Reactivity, performance, color and tenderness of meat from Zebu cattle finished in feedlot. |
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Ano de publicação: |
2012 |
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Fonte/Imprenta: |
Revista Brasileira de Zootecnia, v. 41, n. 4, p. 1009-1015, 2012. |
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Idioma: |
Inglês |
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Conteúdo: |
The objective of this study was to study the animal reactivity and correlate it with performance and meat quality of cattle finished in feedlots. A total of 20 animals of the Tabapuã breed and 20 animals of the Nellore breed were confined for 112 days: 28 days of adaptation and 84 days of data collection. Performance was determined by the average daily weight gain (ADG) and average dry matter intake (DMI) estimated through the use of indicators. On the 1st, 42nd and 84th days of the experiment, two methods were used to measure the animal reactivity: animal reactivity in mobile cage and visual reactivity during handling. The characteristics of meat quality were evaluated by the color, shear force and pH24 after slaughter (pH24). Through the study of correlation, the degree and direction of linear association on animal reactivity, performance and meat quality were established. Regression equations were generated for the parameters evaluated according to the values of animal reactivity. Correlations between mobile cage and visual reactivity were 0.77, 0.56 and 0.45 in the 1st, 2nd and 3rd evaluations, respectively. There was no correlation between animal reactivity and DMI. The correlations between ADG, pH24, and color with animal reactivity were -0.31, 0.40, 0.47 and -0.34, and -0.33 for mobile cage, 0.74, 0.71 and -0.51, for visual reactivity, respectively. The parameters of meat quality varied according to the reactivity. Undesirable values of pH24, animal reactivity and color were found when mobile cage reactivity was higher than 780, 590 and 540, respectively. In general, animals that show greater reactivity tend to have lower daily weight gain and lower meat quality. The reactivity can be used in animal breeding programs, in order to improve performance and meat quality of Zebu cattle finished in feedlot. MenosThe objective of this study was to study the animal reactivity and correlate it with performance and meat quality of cattle finished in feedlots. A total of 20 animals of the Tabapuã breed and 20 animals of the Nellore breed were confined for 112 days: 28 days of adaptation and 84 days of data collection. Performance was determined by the average daily weight gain (ADG) and average dry matter intake (DMI) estimated through the use of indicators. On the 1st, 42nd and 84th days of the experiment, two methods were used to measure the animal reactivity: animal reactivity in mobile cage and visual reactivity during handling. The characteristics of meat quality were evaluated by the color, shear force and pH24 after slaughter (pH24). Through the study of correlation, the degree and direction of linear association on animal reactivity, performance and meat quality were established. Regression equations were generated for the parameters evaluated according to the values of animal reactivity. Correlations between mobile cage and visual reactivity were 0.77, 0.56 and 0.45 in the 1st, 2nd and 3rd evaluations, respectively. There was no correlation between animal reactivity and DMI. The correlations between ADG, pH24, and color with animal reactivity were -0.31, 0.40, 0.47 and -0.34, and -0.33 for mobile cage, 0.74, 0.71 and -0.51, for visual reactivity, respectively. The parameters of meat quality varied according to the reactivity. Undesirable values of pH24, animal reactivity and col... Mostrar Tudo |
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Palavras-Chave: |
Bovine. |
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Thesaurus Nal: |
meat quality; temperament. |
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Categoria do assunto: |
L Ciência Animal e Produtos de Origem Animal |
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URL: |
https://www.alice.cnptia.embrapa.br/alice/bitstream/doc/945917/1/RymerReactivityperformance2012.pdf
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Marc: |
LEADER 02564naa a2200241 a 4500
001 1945917
005 2023-02-16
008 2012 bl uuuu u00u1 u #d
100 1 $aRIBEIRO, J. do S.
245 $aReactivity, performance, color and tenderness of meat from Zebu cattle finished in feedlot.$h[electronic resource]
260 $c2012
520 $aThe objective of this study was to study the animal reactivity and correlate it with performance and meat quality of cattle finished in feedlots. A total of 20 animals of the Tabapuã breed and 20 animals of the Nellore breed were confined for 112 days: 28 days of adaptation and 84 days of data collection. Performance was determined by the average daily weight gain (ADG) and average dry matter intake (DMI) estimated through the use of indicators. On the 1st, 42nd and 84th days of the experiment, two methods were used to measure the animal reactivity: animal reactivity in mobile cage and visual reactivity during handling. The characteristics of meat quality were evaluated by the color, shear force and pH24 after slaughter (pH24). Through the study of correlation, the degree and direction of linear association on animal reactivity, performance and meat quality were established. Regression equations were generated for the parameters evaluated according to the values of animal reactivity. Correlations between mobile cage and visual reactivity were 0.77, 0.56 and 0.45 in the 1st, 2nd and 3rd evaluations, respectively. There was no correlation between animal reactivity and DMI. The correlations between ADG, pH24, and color with animal reactivity were -0.31, 0.40, 0.47 and -0.34, and -0.33 for mobile cage, 0.74, 0.71 and -0.51, for visual reactivity, respectively. The parameters of meat quality varied according to the reactivity. Undesirable values of pH24, animal reactivity and color were found when mobile cage reactivity was higher than 780, 590 and 540, respectively. In general, animals that show greater reactivity tend to have lower daily weight gain and lower meat quality. The reactivity can be used in animal breeding programs, in order to improve performance and meat quality of Zebu cattle finished in feedlot.
650 $ameat quality
650 $atemperament
653 $aBovine
700 1 $aGONÇALVES, T. de M.
700 1 $aLADEIRA, M. M.
700 1 $aTULLIO, R. R.
700 1 $aCAMPOS, F. R.
700 1 $aBERGMANN, J. A. G.
700 1 $aMACHADO NETO, O. R.
700 1 $aCARVALHO, J. R. R. de
773 $tRevista Brasileira de Zootecnia$gv. 41, n. 4, p. 1009-1015, 2012.
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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: |
18/08/2006 |
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Data da última atualização: |
17/05/2022 |
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Tipo da produção científica: |
Resumo em Anais de Congresso |
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Autoria: |
OLIVEIRA, S. R. de M.; ALMEIDA, G. V.; SOUZA, K. R. R.; RODRIGUES, D. N.; NESHICH, G.; FALCAO, P. R. K.; YAMAGISHI, M. E. B.; SANTOS, E. H. dos; VIEIRA, F. D.; JARDINE, J. G. |
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Afiliação: |
STANLEY ROBSON DE MEDEIROS OLIVEIRA, CNPTIA; GUSTAVO V. ALMEIDA; KASSYUS R. R. SOUZA; DIEGO N. RODRIGUES; GORAN NESHICH, CNPTIA; PAULA REGINA KUSER FALCAO, CNPTIA; MICHEL EDUARDO BELEZA YAMAGISHI, CNPTIA; EDGARD HENRIQUE DOS SANTOS, CNPTIA; FÁBIO DANILO VIEIRA, CNPTIA; JOSE GILBERTO JARDINE, CNPTIA. |
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Título: |
An integrated database of structural parameters for protein analysis. |
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Ano de publicação: |
2006 |
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Fonte/Imprenta: |
In: ANNUAL INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS FOR MOLECULAR BIOLOGY, 14.; ANNUAL AB3C CONFERENCE, 2., 2006, Fortaleza. Conference Program... Fortaleza: ISCB, 2006. |
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Páginas: |
Não paginado. |
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Idioma: |
Inglês |
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Notas: |
ISMB, X-MEETING 2006. Poster B-44. Na publicação: Stanley R. M. Oliveira, Paula R. Kuser-Falcão, Edgard H. Santos. |
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Conteúdo: |
Short Abstract: STING_DB is a relational database composed of structural parameters for protein analysis operating with a collection of both publicly available data (PDB, HSSP, Prosite) and its own data (contacts, interface contacts, surface accessibility). STING_DB has over 300 parameters compiled at the single site and was implemented using free software. |
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Palavras-Chave: |
Análise da proteína; Banco de dados; Parâmetros estruturais. |
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Thesaurus NAL: |
Databases; Proteins. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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URL: |
https://www.alice.cnptia.embrapa.br/alice/bitstream/doc/3503/1/B-44-ISMB-2006.pdf
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Marc: |
LEADER 01450nam a2200301 a 4500
001 1003503
005 2022-05-17
008 2006 bl uuuu u00u1 u #d
100 1 $aOLIVEIRA, S. R. de M.
245 $aAn integrated database of structural parameters for protein analysis.$h[electronic resource]
260 $aIn: ANNUAL INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS FOR MOLECULAR BIOLOGY, 14.; ANNUAL AB3C CONFERENCE, 2., 2006, Fortaleza. Conference Program... Fortaleza: ISCB$c2006
300 $aNão paginado.
500 $aISMB, X-MEETING 2006. Poster B-44. Na publicação: Stanley R. M. Oliveira, Paula R. Kuser-Falcão, Edgard H. Santos.
520 $aShort Abstract: STING_DB is a relational database composed of structural parameters for protein analysis operating with a collection of both publicly available data (PDB, HSSP, Prosite) and its own data (contacts, interface contacts, surface accessibility). STING_DB has over 300 parameters compiled at the single site and was implemented using free software.
650 $aDatabases
650 $aProteins
653 $aAnálise da proteína
653 $aBanco de dados
653 $aParâmetros estruturais
700 1 $aALMEIDA, G. V.
700 1 $aSOUZA, K. R. R.
700 1 $aRODRIGUES, D. N.
700 1 $aNESHICH, G.
700 1 $aFALCAO, P. R. K.
700 1 $aYAMAGISHI, M. E. B.
700 1 $aSANTOS, E. H. dos
700 1 $aVIEIRA, F. D.
700 1 $aJARDINE, J. G.
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Registro original: |
Embrapa Agricultura Digital (CNPTIA) |
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