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An evaluation of the Hennessy Grading Probe for measuring fat depth in beef carcasses

机译:轩尼诗分级探头用于测量牛肉car体脂肪深度的评估

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Fat depth at the P8 site on the rump was measured by the cut-and-measure (CM) technique and with the Hennessy Grading Probe (HGP) on 2501 beef carcasses at 1 abattoir over a 12-month period. CM measurements that differed by more than 1 mm between the right and left sides of the carcass were discarded. A subsequent data set of 1850 carcasses was randomly divided so that 2 models could be developed to assess the general validity of the relationship between the 2 methods of measurement. Analysis of measurements of the left side of the carcasses of these 2 subsamples showed the data were not normally distributed. Removal of outliers at the 95% confidence level and also measurements at both extremes of the data range improved the symmetry of the sets of data. From each adjusted data set, regression equations were developed to predict CM measurements from HGP measurements. Linear equations were adequate for predicting CM measurements from HGP measurements, and curvilinear analysis did not improve the predictions. Compared with the curvilinear equations, the linear equations resulted in smaller differences between the 2 data sets for the predicted CM measurements over a range of HGP measurements.
机译:在12个月内,通过切分测量(CM)技术和Hennessy分级探针(HGP)在1个屠宰场的2501牛屠体上测量了臀部P8部位的脂肪深度。丢弃car体左右两侧相差超过1 mm的CM测量值。随后随机分配1850个cas体的数据集,以便开发2个模型来评估2种测量方法之间关系的一般有效性。对这两个子样本的屠体左侧测量的分析表明,数据不是正态分布的。在95%置信度水平上消除异常值,以及在数据范围的两个极端情况下进行测量,都可以改善数据集的对称性。根据每个调整后的数据集,开发了回归方程,以根据HGP测量值预测CM测量值。线性方程足以从HGP测量中预测CM测量,而曲线分析并不能改善预测结果。与曲线方程相比,线性方程在HGP测量范围内,预测CM测量的2个数据集之间的差异较小。

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    《Animal Production Science》 |1989年第6期|p.781-784|共4页
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