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利用视觉大理石花纹评分和化学肌内脂肪百分比预测牛肉的消费者适口性。

Prediction of consumer palatability in beef using visual marbling scores and chemical intramuscular fat percentage.

作者信息

Stewart S M, Gardner G E, McGilchrist P, Pethick D W, Polkinghorne R, Thompson J M, Tarr G

机构信息

Advanced Livestock Measurement Technologies (ALMTech), Murdoch University, College of Science, Health and Engineering, Western Australia 6150, Australia.

Advanced Livestock Measurement Technologies (ALMTech), Murdoch University, College of Science, Health and Engineering, Western Australia 6150, Australia.

出版信息

Meat Sci. 2021 Nov;181:108322. doi: 10.1016/j.meatsci.2020.108322. Epub 2020 Sep 28.

Abstract

With development of objective technologies that can predict chemical intramuscular fat percentage (IMF%), there is a need to understand the relationships between existing marbling traits, IMF% and eating quality. This study utilised historical carcass data (n = 9641 observations) from the Meat Standards Australia (MSA) industry research dataset and included MSA grading data, chemical IMF% data and weighted composite eating quality scores (MQ4). Several analyses were performed to assess the prediction of MQ4 by MSA marbling, M. longissimus thoracis et lumborum (striploin) IMF% and cut specific IMF%. Results demonstrated that there was similar precision between chemical IMF% (R = 0.32, RSE = 11.8) and MSA marbling (R = 0.28, RSE = 11.9) in the prediction of grilled 14 day aged striploin MQ4, with similar results across other cut by cook by days aged combinations. These results support the development of objective technologies that predict chemical IMF% in parallel with MSA marbling for carcass grading and the prediction of eating quality.

摘要

随着能够预测化学肌内脂肪百分比(IMF%)的客观技术的发展,有必要了解现有的大理石花纹性状、IMF%与食用品质之间的关系。本研究利用了来自澳大利亚肉类标准(MSA)行业研究数据集的历史胴体数据(n = 9641条观测值),包括MSA分级数据、化学IMF%数据和加权综合食用品质评分(MQ4)。进行了多项分析,以评估MSA大理石花纹、胸腰最长肌(里脊)IMF%和特定切块IMF%对MQ4的预测能力。结果表明,在预测14天陈化里脊的烤制MQ4时,化学IMF%(R = 0.32,RSE = 11.8)和MSA大理石花纹(R = 0.28,RSE = 11.9)的预测精度相似,在其他切块、烹饪方式和陈化天数组合中也有类似结果。这些结果支持开发与MSA大理石花纹并行预测化学IMF%的客观技术,用于胴体分级和食用品质预测。

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