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Guaranteeing Canadian lamb meat quality using near-infrared spectroscopy on intact rack

 

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Opened Access Guaranteeing Canadian lamb meat quality using near-infrared spectroscopy on intact rack
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Author: Juarez, M.
Horcada Ibáñez, Alberto Luis
Prieto, Nuria
Roberts, Jordan Cyril
Dugan, Mer
López-Campos, Óscar
Uttaro, Bethany
Larsen, Ivy L.
Hosford, Susan
Galbraith, Jayson
Aalhus, J. L
Department: Universidad de Sevilla. Departamento de Ciencias Agroforestales
Date: 2017
Published in: Canadian Journal of Animal Science, 2017 (98, (2)), 290-393.
Document type: Article
Abstract: Lamb racks from commercial carcasses were scanned using near-infrared spectroscopy. The prediction accuracies (R 2) for meat quality traits were assessed. Prediction accuracy ranged between 0.40 and 0.94. When predicted values were used to classify meat based on quality, 88.7%–95.2% of samples were correctly classified as quality guaranteed.
Cite: Juarez, M., Horcada Ibáñez, A.L., Prieto, N., Roberts, J.C., Dugan, M., López-Campos, Ó.,...,Aalhus, J.L. (2017). Guaranteeing Canadian lamb meat quality using near-infrared spectroscopy on intact rack. Canadian Journal of Animal Science, 2017 (98, (2)), 290-393.
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URI: https://hdl.handle.net/11441/76260

DOI: 10.1139

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