Artículo
Guaranteeing Canadian lamb meat quality using near-infrared spectroscopy on intact rack
Autor/es | 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, Jennifer L. |
Departamento | Universidad de Sevilla. Departamento de Ciencias Agroforestales |
Fecha de publicación | 2017 |
Fecha de depósito | 2018-06-15 |
Publicado en |
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Resumen | 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 ... 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. |
Cita | 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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