预测日本黑牛肉牛的胴体组成和个体胴体切块。

Prediction of carcass composition and individual carcass cuts of Japanese Black steers.

机构信息

Laboratory of Animal Husbandry Resources, Division of Applied Biosciences, Graduate School of Agriculture, Kyoto University, Sakyo-ku, Kyoto 606-8502, Japan.

National Agricultural Research Center for Western Region, Oda Division, National Agricultural Research Organization (NARO), Oda, Shimane 694-0013, Japan.

出版信息

Meat Sci. 2014 Mar;96(3):1365-70. doi: 10.1016/j.meatsci.2013.11.017. Epub 2013 Nov 23.

DOI:10.1016/j.meatsci.2013.11.017

PMID:24342188

Abstract

The objective of this study was to develop equations to predict carcass tissue weights and percentages and boneless carcass non-trimmed cut weights by using the cold carcass weight (CCW) and three other traits at the 6-7th rib section, which are routinely collected in carcass markets in Japan. Carcasses from 94 Japanese Black steers were used for the multiple regression analysis with a stepwise procedure and a novel Least Absolute Shrinkage and Selection Operator (LASSO). The accuracies of prediction (R(2)) and RMSEs for the carcass tissue and cut weights were similar between the two procedures. In contrast, LASSO appeared to be the better procedure for predicting carcass tissue percentages. The longissimus muscle area and subcutaneous fat thickness were the important predictors for the lean percentage in the stepwise procedure, and CCW was additionally selected when the LASSO procedure was used.

摘要

本研究旨在开发使用冷胴体重（CCW）和 6-7 肋部的其他三个性状来预测胴体组织重量和比例以及去骨肉非修剪切块重量的方程，这些性状在日本的胴体市场上是常规收集的。使用 94 头日本黑牛肉牛的胴体进行多元回归分析，采用逐步程序和新的最小绝对值收缩和选择算子（LASSO）。两种程序的预测准确性（R(2)）和 RMSE 对于胴体组织和切块重量相似。相比之下，LASSO 似乎是预测胴体组织比例的更好程序。在逐步程序中，腰大肌面积和皮下脂肪厚度是瘦肉百分比的重要预测因子，而在使用 LASSO 程序时，CCW 也被选择。