Guaranteeing Canadian lamb meat quality using near-infrared spectroscopy on intact rack
Citation
Juarez, M., Horcada, A., Prieto, N., Roberts, J.C., Dugan, M.E.R., Lopez-Campos, O, Uttaro, B., Larsen, I.L., Hosford, S., Galbraith J., Aalhus J.L. 2017 Guaranteeing Canadian lamb meat quality using near infrared spectroscopy on intact rack. Can J Anim Sci. 98: 390-393. doi:10.1139/CJAS-2017-0106
Plain language summary
Lamb racks from commercial carcasses were scanned using near infrared spectroscopy (NIRS). The predictions accuracies for meat quality traits were assessed. Prediction accuracy ranged between poor and high accuracy for the different traits. When predicted values were used to classify meat based on each quality trait, 88.7- 95.2% of samples were correctly classified as quality-guaranteed.
Abstract
© Her majesty the Queen in right of Canada 2018. Lamb racks from commercial carcasses were scanned using near-infrared spectroscopy. The prediction accuracies (R2) 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.