Assessing dual-energy X-ray absorptiometry prediction of intramuscular fat content in beef longissimus steaks.

Autor: 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.
Jazyk: angličtina
Zdroj: Meat science [Meat Sci] 2023 Mar; Vol. 197, pp. 109076. Date of Electronic Publication: 2022 Dec 14.
DOI: 10.1016/j.meatsci.2022.109076
Abstrakt: 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 (R 2  = 0.95, RMSECV = 1.95) and Angus (R 2  = 0.75, RMSECV = 2.39) than Nellore (R 2  = 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.
Competing Interests: Declaration of Competing Interest The authors declare no conflict of interest.
(Copyright © 2022 Elsevier Ltd. All rights reserved.)
Databáze: MEDLINE
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