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| Prediction of Retail Product Weight and Percentage in Bamei Lamb |
| ZHANG Hong-bo，LI Yun，JIN Ye，YUAN Qian，JIA Xue-hui |
| 1. College of Food Science and Engineering, Inner Mongolia Agricultural University, Hohhot 010018, China；
2. Facilitation Office of Specific Animal Husbandry Program in Agricultural Areas of Wulatezhogn Banner, Bayannuor 015300, China |
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Abstract This study was conducted to establish mathematical models for quick prediction of retail product weight and percentage on lamb slaughtering line with the aim of providing references for lamb carcass grading for high-quality favorable-price purchase. Thirty Bamei lambs aged 4--8 months were selected for slaughtering, chilling and cutting. Pre-slaughter body weight （X1）, warm carcass weight （X2）, loin eye area （X3） and back meat thickness （X4） were determined. Correlation analysis and linear regression analysis were carried out with SPSS 16.0 software. A linear equation for retail product weight （Y1） or retail product percentage （Y2） as a function of pre-slaughter body weight （X1）, warm carcass weight （X2）, loin eye area （X3） was obtained as Y1= - 1.113 ＋ 1.088X2 - 0.141X1 - 0.004X3（R^2 = 0.996） and Y2 = 31.187 ＋ 2.362X2 -- 1.090X1 ＋ 0.068X3（R^2= 0.920）, respectively. It was found that both equations could be used to predict retail product weight and percentage in Bamei lamb.
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2012, Vol. 26 
