Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
5792497 | Meat Science | 2012 | 6 Pages |
Longissimus dorsi samples (685) collected at four processing plants were used to develop prediction equations for meat quality with near infrared spectroscopy. Equations with R2 > 0.70 and residual prediction deviation (RPD) â¥Â 2.0 were considered as applicable for screening. One production plant showed R2 0.76 and RPD 2.05, other plants showed R2 < 0.70 and RPD < 2.0 for drip loss %. RPD values were â¤Â 2.05 for drip loss%, for colour L* â¤Â 1.82 and pH ultimate (pHu) â¤Â 1.57. Samples were grouped for drip loss%; superior (< 2.0%), moderate (2-4%), inferior (> 4.0%). 64% from the superior group and 56% from the inferior group were predicted correctly. One equation could be used for screening drip loss %. Best prediction equation for L* did not meet the requirements (R2 0.70 and RPD 1.82). pHu equation could not be used. Results suggest that prediction equations can be used for screening drip loss %.
⺠Samples measured at production plants could be used for prediction equations. ⺠The best equation for drip loss % was developed on data with the highest CV value. ⺠The results suggest that prediction equations can be used for screening drip loss %.