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| 1. |  | NOGUEIRA, T. O.; NASCIMENTO, R. de C.; BARBOSA, M. V. de N.; FERREIRA, G. de O.; SANTOS, C. A. F.; VITORINO, W. R. da S. Inventário do Banco de Germoplasma de Guandu da Embrapa Semiárido In: JORNADA DE INICIAÇÃO CIENTÍFICA DA EMBRAPA SEMIÁRIDO, 8., 2013, Petrolina. Anais... Petrolina: Embrapa Semiárido, 2013.| Biblioteca(s): Embrapa Semiárido. |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Pecuária Sudeste. Para informações adicionais entre em contato com cppse.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Pecuária Sudeste. |
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Data corrente: |
05/12/2017 |
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Data da última atualização: |
05/12/2017 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 1 |
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Autoria: |
BERNDT, A.; LANNA, D. P. D.; CRUZ, G. M. da; TULLIO, R. R.; SAKAMOTO, L. S.; ALENCAR, M. M. de. |
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Afiliação: |
ALEXANDRE BERNDT, CPPSE; Dante Pazzanese Duarte Lanna, ESALQ/USP; Geraldo Maria da Cruz, Pesquisador aposentado do CPPSE; RYMER RAMIZ TULLIO, CPPSE; Leandro Sannomiya Sakamoto, Bolsista/Embrapa Pecuária Sudeste; MAURICIO MELLO DE ALENCAR, CPPSE. |
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Título: |
Prediction of the chemical body composition of Nellore and crossbreed bulls. |
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Ano de publicação: |
2017 |
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Fonte/Imprenta: |
Journal of Animal Science, v. 95, n. 9, p. 3932-3939, 2017. |
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DOI: |
10.2527/jas2017.1484 |
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Idioma: |
Inglês |
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Conteúdo: |
Young Nellore and crossbreed bulls were comparatively slaughtered to generate equation models for predicting the chemical composition of the empty body and carcass from the chemical composition of the Hankins and Howe section (HH section; Hankins and Howe, 1946). Data were collected from 236 animals from different genetic groups: Nellore, one-half Canchim + one-half Nellore, one-half Angus + one-half Nellore, and one-half Simmental + one-half Nellore, with 48 baseline animals (BW range from 218 to 433 kg) and 188 animals finished in the feedlot (BW range from 356 to 618 kg). The chemical composition prediction equation model was developed for all genetic groups using stepwise regression analysis. Across all animals, the percentages of water and ether extract in the HH section were highly correlated (P < 0.001) with the percentages in the carcass (r = 0.911 and r = 0.901, respectively, for water content of the carcass [H2OC] and r = 0.921 and r = 0.921, respectively, for ether extract content of the carcass [EEC]) and empty body (r = 0.937 and r = 0.926, respectively, for water content of the empty body [H2OEB] and r = 0.935 and r = 0.939, respectively, for ether extract content of the empty body [EEEB]). The best prediction models were for the traits of empty body weight, H2OEB, EEEB, H2OC, and EEC. Determination coefficients for predicting the dependent variables obtained from the carcass composition were lower than those obtained from the empty body composition. It was concluded that the chemical composition of the empty body and the carcass can be predicted from the composition of the HH section, using a general equation for different genetic groups. MenosYoung Nellore and crossbreed bulls were comparatively slaughtered to generate equation models for predicting the chemical composition of the empty body and carcass from the chemical composition of the Hankins and Howe section (HH section; Hankins and Howe, 1946). Data were collected from 236 animals from different genetic groups: Nellore, one-half Canchim + one-half Nellore, one-half Angus + one-half Nellore, and one-half Simmental + one-half Nellore, with 48 baseline animals (BW range from 218 to 433 kg) and 188 animals finished in the feedlot (BW range from 356 to 618 kg). The chemical composition prediction equation model was developed for all genetic groups using stepwise regression analysis. Across all animals, the percentages of water and ether extract in the HH section were highly correlated (P < 0.001) with the percentages in the carcass (r = 0.911 and r = 0.901, respectively, for water content of the carcass [H2OC] and r = 0.921 and r = 0.921, respectively, for ether extract content of the carcass [EEC]) and empty body (r = 0.937 and r = 0.926, respectively, for water content of the empty body [H2OEB] and r = 0.935 and r = 0.939, respectively, for ether extract content of the empty body [EEEB]). The best prediction models were for the traits of empty body weight, H2OEB, EEEB, H2OC, and EEC. Determination coefficients for predicting the dependent variables obtained from the carcass composition were lower than those obtained from the empty body composition. It was con... Mostrar Tudo |
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Palavras-Chave: |
Comparative slaughter; Nellore crossbreed. |
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Thesaurus NAL: |
carcass composition. |
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Categoria do assunto: |
L Ciência Animal e Produtos de Origem Animal |
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Marc: |
LEADER 02372naa a2200229 a 4500
001 2081472
005 2017-12-05
008 2017 bl uuuu u00u1 u #d
024 7 $a10.2527/jas2017.1484$2DOI
100 1 $aBERNDT, A.
245 $aPrediction of the chemical body composition of Nellore and crossbreed bulls.$h[electronic resource]
260 $c2017
520 $aYoung Nellore and crossbreed bulls were comparatively slaughtered to generate equation models for predicting the chemical composition of the empty body and carcass from the chemical composition of the Hankins and Howe section (HH section; Hankins and Howe, 1946). Data were collected from 236 animals from different genetic groups: Nellore, one-half Canchim + one-half Nellore, one-half Angus + one-half Nellore, and one-half Simmental + one-half Nellore, with 48 baseline animals (BW range from 218 to 433 kg) and 188 animals finished in the feedlot (BW range from 356 to 618 kg). The chemical composition prediction equation model was developed for all genetic groups using stepwise regression analysis. Across all animals, the percentages of water and ether extract in the HH section were highly correlated (P < 0.001) with the percentages in the carcass (r = 0.911 and r = 0.901, respectively, for water content of the carcass [H2OC] and r = 0.921 and r = 0.921, respectively, for ether extract content of the carcass [EEC]) and empty body (r = 0.937 and r = 0.926, respectively, for water content of the empty body [H2OEB] and r = 0.935 and r = 0.939, respectively, for ether extract content of the empty body [EEEB]). The best prediction models were for the traits of empty body weight, H2OEB, EEEB, H2OC, and EEC. Determination coefficients for predicting the dependent variables obtained from the carcass composition were lower than those obtained from the empty body composition. It was concluded that the chemical composition of the empty body and the carcass can be predicted from the composition of the HH section, using a general equation for different genetic groups.
650 $acarcass composition
653 $aComparative slaughter
653 $aNellore crossbreed
700 1 $aLANNA, D. P. D.
700 1 $aCRUZ, G. M. da
700 1 $aTULLIO, R. R.
700 1 $aSAKAMOTO, L. S.
700 1 $aALENCAR, M. M. de
773 $tJournal of Animal Science$gv. 95, n. 9, p. 3932-3939, 2017.
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