用超声波活体检测建立肉牛宰后性状的预测模型

    Establishment of prediction models of pos slaughter traits by ultrasound measurement in live cattle

    • 摘要: 为了对肉牛进行早期选择并适时屠宰,该文通过超声波活体检测技术获得6种国内常用肉牛杂交品种和本土品种(60头)8月龄、22月龄眼肌面积和背膘厚数据,集中育肥屠宰后,用50头幼龄牛和成年牛超声测定的眼肌面积、背膘厚及体重建立了成年牛宰后性状(眼肌面积、背膘厚、产肉性状(高档肉质量、后部肉质量、优质肉质量和胴体质量))的数学预测模型,并对加入体重资料前后的预测模型进行检验分析。结果表明,屠宰后眼肌面积、背膘厚预测模型的决定系数小于0.75,但产肉性状预测模型的决定系数均大于0.75,经10头牛数据验证,所有模型预测结果与实测结果无显著差异,说明利用超声波技术测得幼龄牛或成年牛的眼肌面积和背膘厚预测屠宰后眼肌面积、背膘厚和产肉性状是可行的,且加入体重的预测模型较未加入的模型更为精确。

       

      Abstract: For early selection and real-time slaughtering of beef, the ribeye muscle area(EMA)and surface fat between the 12th and 13th ribs over the longissimus muscle(RIB12)of 60 cattles when they were 8 and 22 month old were gotten by live animal ultrasound measures. The cattles were slaughtered after fatten for 14 months. Data of EMA and RIB12 measured by ultrasound system and weight of 50 cattles chosen from 60 cattles in random in 8 and 22 month old were used to establish the forecasting models of EMA, RIB12, high-grade beef, rear beef, fine-quality beef and carcass weight after slaughtered. Forecasting models with the weight data or not were detection analysis. The results show that the deciding coefficients of pos slaughter EMA, RIB12 were less than 0.75, but that of high-grade meat, rear beef, fine-quality beef and carcass weight were over 0.75. The pre slaughter traits and pos slaughter data of other 10 cattles was used to test the forecasting models. The results show that there are no significantly difference between forecasting values and measured ones. It can be concluded that it is feasible that pos slaughter EMA, RIB12 and beef production traits can be forecasted by EMA and RIB12 data measured by ultrasound system and the models with the weight data are more accurately than that without the weight data.

       

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