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http://www.alice.cnptia.embrapa.br/alice/handle/doc/859721
Title: | Qualidade da carne de novilhos de corte de diferentes composições genéticas criados no Sul do Brasil. |
Authors: | CARDOSO, F. F.![]() ![]() NUNES, M. H. G. ![]() ![]() AZAMBUJA, R. de C. de ![]() ![]() GONZAGA, S. S. ![]() ![]() LEMES, J. S. ![]() ![]() OSÓRIO, M. T. M. ![]() ![]() |
Affiliation: | FERNANDO FLORES CARDOSO, CPPSUL; MARCELO HENRIQUE GIORDANO NUNES, MESTRANDO UFPEL; RODRIGO CARNEIRO DE CAMPOS DE AZAMBUJA, ACADEMICO UFPEL; SERGIO SILVEIRA GONZAGA, CPPSUL; JAQUELINE SCHNEIDER LEMES, DOUTORANDA UFPEL; MARIA TERESA MOREIRA OSÓRIO, UFPEL. |
Date Issued: | 2010 |
Citation: | In: REUNIÃO ANUAL DA SOCIEDADE BRASILEIRA ZOOTECNIA, 47., 2010, Salvador. Empreendedorismo e progresso científicos na zootecnia brasileira de vanguarda: anais. Salvador: SBZ: UFBA, 2010. |
Description: | Beef quality from steers of different genetic compositions raised in Southern Brazil This study aimed to evaluate quantitative and qualitative beef traits from steers of different genetic compositions. Data on 43 steers of five different genotypes, Angus (ANAN), Nellore (NENE), Angus x Hereford (ANHH), Angus x Nellore (ANNE) and Angus x Caracu (ANCA), slaughtered around 26 months of age, assessing beef quality aspects. The rib eye area of ANNE crosses exceeded that of ANAN and heterosis in this crossing was 15.3% (P = 0.0223). The genotype ANAN had a higher intramuscular fat percentage when compared to the ANNE and NENE groups, while the tenderness of NENE beef (7.1 kg) was lower than that of other genotypes (between 4.33 and 5.02 kg). Crossbreeding between the Angus and Nellore breeds is an alternative to increase rib eye area of beef steers, while maintaining the same level of tenderness of purebred Angus animals or their crosses with other taurine breeds. |
Thesagro: | Bovino Carne |
Type of Material: | Artigo em anais e proceedings |
Access: | openAccess |
Appears in Collections: | Artigo em anais de congresso (CPPSUL)![]() ![]() |
Files in This Item:
File | Description | Size | Format | |
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metas-2010-ffc-5824.pdf | 636.66 kB | Adobe PDF | ![]() View/Open |