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Monitoring lean meat percentage predictions from optical grading probes by a commercial cutting pattern
Meat Science ( IF 7.1 ) Pub Date : 2017-11-11 , DOI: 10.1016/j.meatsci.2017.11.010
Lars Erik Gangsei , Frøydis Bjerke , Morten Røe , Ole Alvseike

The lean meat percentage (LMP) classification in Norwegian slaughterhouses is obtained by Hennessy Grading Probe 7 (HGP7), an optical tool. Even though the HGP7 method is validated frequently, there is industrial and legislative demand to reconsider the applied LMP equation, typically due to the introduction of new breeds.

A deboning pilot plant generates precise yield data using cutting and deboning stratified pork carcasses by a specific commercial cutting pattern (CCP) at an annual rate of approximately 250 slaughter pigs. This paper shows how results obtained by CCP can be used to measure LMP in pork and how these results can be used for monitoring the quality of LMP predicted by HGP7. The effect of gender, maternal- and paternal lines on validity of HGP7 predictions was evaluated. The effect of introducing a new maternal line (TN70) seems to be substantial, whereas the effects of the tested paternal lines are small to negligible.



中文翻译:

通过商业切割模式监控来自光学分级探头的瘦肉百分比预测

挪威屠宰场中的瘦肉百分比(LMP)分类是通过光学工具Hennessy Grading Probe 7(HGP7)获得的。尽管HGP7方法得到了频繁验证,但由于引入了新品种,因此仍然存在工业和法律上的要求,以重新考虑所应用的LMP方程。

去骨试验工厂通过按特定的商业切割模式(CCP)对分层的猪肉car体进行切割和去骨,以每年约250头屠宰猪的速度来生成精确的产量数据。本文展示了如何通过CCP获得的结果可用于测量猪肉中的LMP,以及如何将这些结果用于监测HGP7预测的LMP的质量。评估了性别,母系和父系对HGP7预测有效性的影响。引入新的母系(TN70)的效果似乎很明显,而测试的父系的影响很小甚至可以忽略不计。

更新日期:2017-11-11
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