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Assessing dual-energy X-ray absorptiometry prediction of intramuscular fat content in beef longissimus steaks.
Nunes, Cris Luana de Castro; Vilela, Rizielly Saraiva Reis; Schultz, Erica Beatriz; Hannas, Melissa Izabel; Chizzotti, Mario Luiz.
Afiliación
  • Nunes CLC; Department of Animal Science, Universidade Federal de Viçosa, 36570-900 Viçosa, MG, Brazil. Electronic address: cris.nunes@ufv.br.
  • Vilela RSR; Department of Animal Science, Universidade Federal de Viçosa, 36570-900 Viçosa, MG, Brazil.
  • Schultz EB; Department of Animal Science, Universidade Federal de Viçosa, 36570-900 Viçosa, MG, Brazil.
  • Hannas MI; Department of Animal Science, Universidade Federal de Viçosa, 36570-900 Viçosa, MG, Brazil.
  • Chizzotti ML; Department of Animal Science, Universidade Federal de Viçosa, 36570-900 Viçosa, MG, Brazil.
Meat Sci ; 197: 109076, 2023 Mar.
Article en En | MEDLINE | ID: mdl-36535231
This study assessed the capability of dual-energy X-ray absorptiometry (DEXA) to predict intramuscular fat (IMF) content of beef longissimus steaks against chemical IMF as the gold standard. DEXA performance of fat% prediction was assessed using a leave-one-out cross validation method among Angus and Nellore steaks, which generated a chemical fat% range of 14.05-36.82% and 2.46-7.84%, respectively, and using pooled data. There was a significant positive association between DEXA predicted fat and chemical fat content. However, higher precision was found for pooled data (R2 = 0.95, RMSECV = 1.95) and Angus (R2 = 0.75, RMSECV = 2.39) than Nellore (R2 = 0.15, RMSECV = 1.22) group. Accuracy also had the same response with average slope values close to 1 for pooled data and Angus and a lower value (0.42) for Nellore group. DEXA precisely predicts IMF content across a wide range of fat content. However, its precision and accuracy of prediction within low-fat content samples are lower than in high-fat content.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Tejido Adiposo / Carne Roja Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Animals Idioma: En Revista: Meat Sci Asunto de la revista: CIENCIAS DA NUTRICAO Año: 2023 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Tejido Adiposo / Carne Roja Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Animals Idioma: En Revista: Meat Sci Asunto de la revista: CIENCIAS DA NUTRICAO Año: 2023 Tipo del documento: Article
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