Cooperative Research Centre for Sheep Innovation, Armidale NSW 2350, Australia; NSW Department of Primary Industries, Centre for Red Meat and Sheep Development, Cowra NSW 2794, Australia.
Wollongbar Primary Industries Institute, NSW Department of Primary Industries, Wollongbar NSW 2477, Australia.
Meat Sci. 2020 Aug;166:108153. doi: 10.1016/j.meatsci.2020.108153. Epub 2020 Apr 18.
Intramuscular fat (IMF) content is critical in the determination of eating quality. At present the Australian lamb industry has no ability to measure IMF as carcases are not split and processing speeds of up to 15 animals per minute prohibit the use of traditional methods. Consequently, the potential for a hand-held Near- Infrared (NIR) device to predict the IMF content of lamb topside in-situ was investigated. Models demonstrated that there is an ability to predict the IMF content of topside (R = 0.58, RMSEP = 0.85) using NIR spectra collected at 24 h post-mortem and loin (R = 0.50, RMSEP = 0.91). However, the models were limited by the range and distribution of the lamb population measured. Thus, further research is required to determine whether these models can be improved by increasing the range of data in the calibration models and considering alternate methods of analysis which are suitable for skewed populations.
肌内脂肪（IMF）含量是决定食用品质的关键。目前，澳大利亚羊肉行业无法测量 IMF，因为羊体没有分割，而且每分钟多达 15 只的处理速度禁止使用传统方法。因此，研究了手持式近红外（NIR）设备在现场预测羊肉肩肉 IMF 含量的潜力。模型表明，使用死后 24 小时收集的 NIR 光谱可以预测肩肉（R = 0.58，RMSEP = 0.85）的 IMF 含量，使用腰部（R = 0.50，RMSEP = 0.91）。然而，这些模型受到所测量的羊肉群体的范围和分布的限制。因此，需要进一步研究以确定是否可以通过增加校准模型中的数据范围并考虑适合偏态群体的替代分析方法来改进这些模型。
