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Cull sow knife-separable lean con tent evaluation at harvest and lean mass contentprediction equation development

机译:杂种猪刀分离的瘦肉含量评估及瘦肉含量预测方程的开发

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摘要

The objectives of this study were to develop a prediction equation for carcass knife-separable lean within and across USDA cull sow market weight classes (MWC) and to determine carcass and individual primal cut knife separable lean content from cull sows. There were significant percent lean and fat differences in the primal cuts across USDA MWC. The two lighter USDA MWC had a greater percent carcass lean and lower percent fat compared to the two heavier MWC. In general, hot carcass weight explained the majority of carcass lean variation. Additionally, backfat was a significant variation source when predicting cull sow carcass lean. The findings support using a single lean prediction equation across MWC to assist processors when making cull sow purchasing decisions and determine the mix of animals from various USDA MWC that will meet their needs when making pork products with defined lean:fat content.
机译:这项研究的目的是为USDA母猪市场重量等级(MWC)之内和之间的car体刀可分离的瘦肉建立预测方程,并确定c体和individual体和个体初切刀可分离的瘦肉含量。在USDA MWC的原始削减中,瘦肉和脂肪差异显着。与两个较重的MWC相比,两个较轻的USDA MWC的s体瘦肉比例更高,脂肪含量较低。通常,hot体重量过高可解释大多数体瘦肉变化。此外,预测杂种猪体瘦肉时,背脂是重要的变异来源。研究结果支持在整个MWC中使用单个瘦肉预测方程式,以协助加工者制定母猪的购买决策,并确定来自各种USDA MWC的动物的混合物,这些动物将满足他们在生产具有定义的瘦肉:脂肪含量的猪肉产品时的需求。

著录项

  • 来源
    《Meat Science》 |2012年第3期|p.312-317|共6页
  • 作者单位

    Department of Animal Science, Iowa State University, Ames, IA 50011, United States;

    Department of Animal Science, Iowa State University, Ames, IA 50011-3150, United States;

    Utah Pork Producers Association, 55 East 200 North, Providence, UT 843332, United States;

    Department of Animal Science, Iowa State University, Ames, IA 50011, United States,Pig Improvement Company, 100 Bluegrass Commons Suite 2200,Hendersonville, TN 37075, United States;

  • 收录信息 美国《科学引文索引》(SCI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    cull sow; carcass composition; lean; prediction equation;

    机译:母猪体组成;靠;预测方程;

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