Literature DB >> 33067083

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

S M Stewart1, G E Gardner2, P McGilchrist3, D W Pethick2, R Polkinghorne4, J M Thompson5, G Tarr6.   

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% (R2 = 0.32, RSE = 11.8) and MSA marbling (R2 = 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.
Copyright © 2020. Published by Elsevier Ltd.

Entities:  

Keywords:  Eating quality; IMF; M. longissimus thoracis et lumborum; Meat quality

Year:  2020        PMID: 33067083     DOI: 10.1016/j.meatsci.2020.108322

Source DB:  PubMed          Journal:  Meat Sci        ISSN: 0309-1740            Impact factor:   5.209


  3 in total

Review 1.  Quality Multiverse of Beef and Pork Meat in a Single Score.

Authors:  Sara Rajic; Stefan Simunovic; Vesna Djordjevic; Mladen Raseta; Igor Tomasevic; Ilija Djekic
Journal:  Foods       Date:  2022-04-15

2.  Association between rumen microbiota and marbling grade in Hu sheep.

Authors:  Jianghui Wang; Yukun Zhang; Xiaojuan Wang; Fadi Li; Deyin Zhang; Xiaolong Li; Yuan Zhao; Liming Zhao; Dan Xu; Jiangbo Cheng; Wenxin Li; Changchun Lin; Xiaobin Yang; Rui Zhai; Xiwen Zeng; Panpan Cui; Zongwu Ma; Jia Liu; Xiaoxue Zhang; Weimin Wang
Journal:  Front Microbiol       Date:  2022-09-21       Impact factor: 6.064

3.  A genome-wide landscape of mRNAs, lncRNAs, circRNAs and miRNAs during intramuscular adipogenesis in cattle.

Authors:  Xinran Yang; Xinhao Ma; Chugang Mei; Linsen Zan
Journal:  BMC Genomics       Date:  2022-10-06       Impact factor: 4.547

  3 in total

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