Literature DB >> 23031268

Prediction of beef eating quality in France using the Meat Standards Australia system.

I Legrand1, J-F Hocquette, R J Polkinghorne, D W Pethick.   

Abstract

An experiment was set up for (i) comparing Australian and French consumer preferences to beef and to (ii) quantify how well the Meat Standards Australia (MSA) grading model could predict the eating quality of beef in France. Six muscles from 18 Australian and 18 French cattle were tested as paired samples. In France, steaks were grilled 'medium' or 'rare', whereas in Australia 'medium' cooking was used. In total, 360 French consumers took part in the 'medium' cooking test, with each eating half Australian beef and half French beef and 180 French consumers tested the 'rare' beef. Consumers scored steaks for tenderness (tn), juiciness (ju), flavour liking (fl) and overall liking (ov). They also assigned a quality rating to each sample: 'unsatisfactory', 'satisfactory everyday quality' (3*), 'better than everyday quality' (4*) or 'premium quality' (5*). The prediction of the final ratings (3*, 4*, 5*) by the French consumers using the MSA-weighted eating quality score (0.3 tn + 0.1 ju + 0.3 fl + 0.3 ov) was over 70%, which is at least similar to the Australian experience. The boundaries between 'unsatisfactory', 3*, 4* and 5* were found to be ca. 38, 61 and 80, respectively. The differences between extreme classes are therefore slightly more important in France than in Australia. On average, even though it does not have predictive equations for bull meat, the mean predicted scores calculated by the MSA model deviated from observed values by a maximum of 5 points on a 0 to 100 scale except for the Australian oyster blade and the French topside, rump and outside (deviating by <15). Overall, the data indicate that it would be possible to manage a grading system in France as there is high agreement and consistency across consumers. The 'rare' and 'medium' results are also very similar, indicating that a common set of weightings and cut-offs can be employed.

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Year:  2012        PMID: 23031268     DOI: 10.1017/S1751731112001553

Source DB:  PubMed          Journal:  Animal        ISSN: 1751-7311            Impact factor:   3.240


  9 in total

1.  Effect of carcass fat and conformation class on consumer perception of various grilled beef muscles.

Authors:  Dominika Guzek; Dominika Głąbska; Krystyna Gutkowska; Agnieszka Wierzbicka
Journal:  J Food Sci Technol       Date:  2016-10-17       Impact factor: 2.701

2.  Current situation and future prospects for beef production in Europe - A review.

Authors:  Jean-François Hocquette; Marie-Pierre Ellies-Oury; Michel Lherm; Christele Pineau; Claus Deblitz; Linda Farmer
Journal:  Asian-Australas J Anim Sci       Date:  2018-05-24       Impact factor: 2.509

3.  From commodity, to customer, to consumer: The Australian beef industry evolution.

Authors:  Rod Polkinghorne
Journal:  Anim Front       Date:  2018-06-29

Review 4.  Predicting the Quality of Meat: Myth or Reality?

Authors:  Cécile Berri; Brigitte Picard; Bénédicte Lebret; Donato Andueza; Florence Lefèvre; Elisabeth Le Bihan-Duval; Stéphane Beauclercq; Pascal Chartrin; Antoine Vautier; Isabelle Legrand; Jean-François Hocquette
Journal:  Foods       Date:  2019-09-24

5.  Are Marbling and the Prediction of Beef Eating Quality Affected by Different Grading Sites?

Authors:  Jingjing Liu; Grzegorz Pogorzelski; Alix Neveu; Isabelle Legrand; David Pethick; Marie-Pierre Ellies-Oury; Jean-François Hocquette
Journal:  Front Vet Sci       Date:  2021-03-29

6.  Carcass Characteristics and Beef Quality of Young Grass-Fed Angus x Salers Bovines.

Authors:  Jingjing Liu; Marie-Pierre Ellies-Oury; Liselotte Pannier; Dominique Gruffat; Denis Durand; Faustine Noel; Bernard Sepchat; Isabelle Legrand; Sophie Prache; Jean-François Hocquette
Journal:  Foods       Date:  2022-08-18

Review 7.  Expression Marker-Based Strategy to Improve Beef Quality.

Authors:  Isabelle Cassar-Malek; Brigitte Picard
Journal:  ScientificWorldJournal       Date:  2016-03-15

8.  Various Statistical Approaches to Assess and Predict Carcass and Meat Quality Traits.

Authors:  Marie-Pierre Ellies-Oury; Jean-François Hocquette; Sghaier Chriki; Alexandre Conanec; Linda Farmer; Marie Chavent; Jérôme Saracco
Journal:  Foods       Date:  2020-04-22

Review 9.  Drivers of Consumer Liking for Beef, Pork, and Lamb: A Review.

Authors:  Rhonda Miller
Journal:  Foods       Date:  2020-04-03
  9 in total

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