首页> 外文会议>International conference on simulation and modelling in the food and bio-industry >ASSESSMENT OF MUSCLE LONGISSIMUS THORACIS ET LUMBORUM INTRAMUSCULAR FAT BY ULTRASONOGRAPHY AND IMAGE ANALYSIS
【24h】

ASSESSMENT OF MUSCLE LONGISSIMUS THORACIS ET LUMBORUM INTRAMUSCULAR FAT BY ULTRASONOGRAPHY AND IMAGE ANALYSIS

机译:超声和图像分析技术对腰椎腰椎腰RAM肌内脂肪的评估

获取原文

摘要

The intramuscular fat (IMF), recognized by the consumer as marbling, has a favorable effect on meat quality and therefore is an important trait to be assessed. The objective of this work is to predict Longissimus thoracis et lumborum muscle (LM) chemical IMF from marbling traits obtained by analysis of real time ultrasonography (RTU) images. Twenty six LM samples were collected from Charolais x Holstein heifers. The RTU images were obtained from LM samples using a RTU scanner equipped with a 7.5 MHz probe. The chemical fat of IMF was determined on LM samples. The RTU images were subjected to computer image analysis to determine the characteristics of marbling flecks. Simple and multiple regressions were established between the chemical IMF (Y) and the characteristics of marbling flecks determined by RTU (X). Stepwise procedures were used to found the best fit model to predict chemical IMF. A large variation was found for the characteristics of marbling flecks. Using regression analysis it was possible to predict chemical IMF from marbling fleck area and proportion of marbling flecks (R~2=0.66 and 0.82, respectively, P<0.0001). The best fit explains 85% of chemical IMF variation. The results observed in this work suggest that RTU associated with image analysis was a valuable tool to predict chemical IMF of LM without destroying the muscle chop.
机译:消费者认为是大理石花纹的肌内脂肪(IMF)对肉质具有有利影响,因此是需要评估的重要特征。这项工作的目的是根据通过实时超声检查(RTU)图像分析获得的大理石花纹特征来预测胸最长肌和腰部肌肉(LM)化学IMF。从夏洛来牛x荷斯坦小母牛收集了26个LM样品。使用配备7.5 MHz探头的RTU扫描仪从LM样品获得RTU图像。在LM样品上测定了IMF的化学脂肪。对RTU图像进行计算机图像分析,以确定大理石斑点的特征。在化学IMF(Y)和RTU(X)确定的大理石斑点特征之间建立了简单和多元回归。使用逐步过程来找到预测化学IMF的最佳拟合模型。发现大理石花纹斑点的特性差异很大。使用回归分析可以从大理石斑点的面积和大理石斑点的比例预测化学IMF(R〜2 = 0.66和0.82,P <0.0001)。最佳拟合解释了化学IMF变化的85%。在这项工作中观察到的结果表明,与图像分析相关的RTU是预测LM的化学IMF而不破坏肌肉切碎的有价值的工具。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号