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Untrained consumer assessment of the eating quality of beef: 1. A single composite score can predict beef quality grades

  • S. P. F. Bonny (a1) (a2), J.-F. Hocquette (a2) (a3), D. W. Pethick (a1), I. Legrand (a4), J. Wierzbicki (a5), P. Allen (a6), L. J. Farmer (a7), R. J. Polkinghorne (a8) and G. E. Gardner (a1)...


Quantifying consumer responses to beef across a broad range of demographics, nationalities and cooking methods is vitally important for any system evaluating beef eating quality. On the basis of previous work, it was expected that consumer scores would be highly accurate in determining quality grades for beef, thereby providing evidence that such a technique could be used to form the basis of and eating quality grading system for beef. Following the Australian MSA (Meat Standards Australia) testing protocols, over 19 000 consumers from Northern Ireland, Poland, Ireland, France and Australia tasted cooked beef samples, then allocated them to a quality grade; unsatisfactory, good-every-day, better-than-every-day and premium. The consumers also scored beef samples for tenderness, juiciness, flavour-liking and overall-liking. The beef was sourced from all countries involved in the study and cooked by four different cooking methods and to three different degrees of doneness, with each experimental group in the study consisting of a single cooking doneness within a cooking method for each country. For each experimental group, and for the data set as a whole, a linear discriminant function was calculated, using the four sensory scores which were used to predict the quality grade. This process was repeated using two conglomerate scores which are derived from weighting and combining the consumer sensory scores for tenderness, juiciness, flavour-liking and overall-liking, the original meat quality 4 score (oMQ4) (0.4, 0.1, 0.2, 0.3) and current meat quality 4 score (cMQ4) (0.3, 0.1, 0.3, 0.3). From the results of these analyses, the optimal weightings of the sensory scores to generate an ‘ideal meat quality 4 score (MQ4)’ for each country were calculated, and the MQ4 values that reflected the boundaries between the four quality grades were determined. The oMQ4 weightings were far more accurate in categorising European meat samples than the cMQ4 weightings, highlighting that tenderness is more important than flavour to the consumer when determining quality. The accuracy of the discriminant analysis to predict the consumer scored quality grades was similar across all consumer groups, 68%, and similar to previously reported values. These results demonstrate that this technique, as used in the MSA system, could be used to predict consumer assessment of beef eating quality and therefore to underpin a commercial eating quality guarantee for all European consumers.


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Anonymous 2008. Accessory publication: MSA sensory testing protocols. Australian Journal of Experimental Agriculture 48, 13601367.
Bonny, SPF, Gardner, GE, Pethick, DW, Legrand, I, Polkinghorne, RJ and Hocquette, J-F 2015. Biochemical measurements of beef are a good predictor of untrained consumer sensory scores across muscles. Animal 9, 179190.
Bonny, SPF, Hocquette, J-F, Pethick, DW, Farmer, LJ, Legrand, I, Wierzbicki, J, Allen, P, Polkinghorne, RJ and Gardner, GE 2016a. The variation in the eating quality of beef from different sexes and breed classes cannot be completely explained by carcass measurements. Animal 10, 987995.
Bonny, SPF, Pethick, DW, Legrand, I, Wierzbicki, J, Allen, P, Farmer, LJ, Polkinghorne, RJ, Hocquette, J-F and Gardner, GE 2016b. European conformation and fat scores have no relationship with eating quality. Animal 10, 9961006.
Bonny, SPF, Pethick, DW, Legrand, I, Wierzbicki, J, Allen, P, Farmer, LJ, Polkinghorne, RJ, Hocquette, JF and Gardner, GE 2016c. Ossification score is a better indicator of maturity related changes in eating quality than animal age. Animal 10, 718728.
Chriki, S, Renand, G, Picard, B, Micol, D, Journaux, L and Hocquette, J-F 2013. Meta-analysis of the relationships between beef tenderness and muscle characteristics. Livestock Science 155, 424434.
Farmer, LJ, Bowe, R, Troy, DJ, Bonny, SPF, Birnie, J, Dell’Orto, V, Polkinghorne, RJ, Wierzbicki, J, de Roest, K, Scollan, ND, Henchion, M, Morrison, SJ, Legrand, I, Roehe, R, Hocquette, JF and Duhem, K 2016. Report of the workshop ‘sustainable beef quality for Europe – a workshop for industry and scientists’. Viandes & Produits Carnés VPC‐2016‐32‐1‐6. pp. 1–10.
Feuz, DM, Umberger, WJ, Calkins, CR and Sitz, B 2004. U.S. consumers’ willingness to pay for flavor and tenderness in steaks as determined with an experimental auction. Journal of Agricultural and Resource Economics 29, 501516.
Hocquette, J-F, Botreau, R, Picard, B, Jacquet, A, Pethick, DW and Scollan, ND 2012. Opportunities for predicting and manipulating beef quality. Meat Science 92, 197209.
Hocquette, J-F, Legrand, I, Jurie, C, Pethick, DW and Micol, D 2011. Perception in France of the Australian system for the prediction of beef quality (Meat Standards Australia) with perspectives for the European beef sector. Animal Production Science 51, 3036.
Hocquette, J-F, Van Wezemael, L, Chriki, S, Legrand, I, Verbeke, W, Farmer, L, Scollan, ND, Polkinghorne, R, Rødbotten, R, Allen, P and Pethick, DW 2014. Modelling of beef sensory quality for a better prediction of palatability. Meat Science 97, 316322.
Huffman, KL, Miller, MF, Hoover, LC, Wu, CK, Brittin, HC and Ramsey, CB 1996. Effect of beef tenderness on consumer satisfaction with steaks consumed in the home and restaurant. Journal of Animal Science 74, 9197.
Legrand, I, Hocquette, J-F, Polkinghorne, RJ and Pethick, DW 2013. Prediction of beef eating quality in France using the Meat Standards Australia system. Animal 7, 524529.
Lorenzen, CL, Neely, TR, Miller, RK, Tatum, JD, Wise, JW, Taylor, JF, Buyck, MJ, Reagan, JO and Savell, JW 1999. Beef customer satisfaction: cooking method and degree of doneness effects on the top loin steak. Journal of Animal Science 77, 637644.
Morgan, JB, Savell, JW, Hale, DS, Miller, RK, Griffin, DB, Cross, HR and Shackelford, SD 1991. National beef tenderness survey. Journal of Animal Science 69, 32743283.
Polkinghorne, R, Thompson, JM, Watson, R, Gee, A and Porter, M 2008. Evolution of the Meat Standards Australia (MSA) beef grading system. Australian Journal of Experimental Agriculture 48, 13511359.
Polkinghorne, RJ 2006. Implementing a palatability assured critical control point (PACCP) approach to satisfy consumer demands. Meat Science 74, 180187.
Polkinghorne, RJ, Nishimura, T, Neath, KE and Watson, R 2011. Japanese consumer categorisation of beef into quality grades, based on Meat Standards Australia methodology. Animal Science Journal 82, 325333.
Polkinghorne, RJ, Nishimura, T, Neath, KE and Watson, R 2014. A comparison of Japanese and Australian consumers’ sensory perceptions of beef. Animal Science Journal 85, 6974.
Reicks, AL, Brooks, JC, Garmyn, AJ, Thompson, LD, Lyford, CL and Miller, MF 2011. Demographics and beef preferences affect consumer motivation for purchasing fresh beef steaks and roasts. Meat Science 87, 403411.
Renand, G, Picard, B, Touraille, C, Berge, P and Lepetit, J 2001. Relationships between muscle characteristics and meat quality traits of young Charolais bulls. Meat Science 59, 4960.
SAS 2002. Applied statistics and the SAS programming language. SAS Institute, Cary, NC, USA.
Thompson, J, Polkinghorne, R, Gee, A, Motiang, D, Strydom, P, Mashau, M, Ng’ambi, J, deKock, R and Burrow, H 2010. Beef palatability in the Republic of South Africa: implications for niche-marketing strategies (ACIAR Technical Reports, pp. 1–56. Australian Centre for International Agricultural Research (ACIAR), Canberra, ACT, Australia.
Thompson, JM 2002. Managing meat tenderness. Meat Science 62, 295308.
Thompson, JM, Polkinghorne, R, Hwang, IH, Gee, AM, Cho, SH, Park, BY and Lee, JM 2008. Beef quality grades as determined by Korean and Australian consumers. Australian Journal of Experimental Agriculture 48, 13801386.
Verbeke, W, Van Wezemael, L, de Barcellos, MD, Kügler, JO, Hocquette, J-F, Ueland, Ø and Grunert, KG 2010. European beef consumers’ interest in a beef eating-quality guarantee: insights from a qualitative study in four EU countries. Appetite 54, 289296.
Watson, R, Gee, A, Polkinghorne, R and Porter, M 2008a. Consumer assessment of eating quality – development of protocols for Meat Standards Australia (MSA) testing. Australian Journal of Experimental Agriculture 48, 13601367.
Watson, R, Polkinghorne, R and Thompson, JM 2008b. Development of the Meat Standards Australia (MSA) prediction model for beef palatability. Australian Journal of Experimental Agriculture 48, 13681379.


Untrained consumer assessment of the eating quality of beef: 1. A single composite score can predict beef quality grades

  • S. P. F. Bonny (a1) (a2), J.-F. Hocquette (a2) (a3), D. W. Pethick (a1), I. Legrand (a4), J. Wierzbicki (a5), P. Allen (a6), L. J. Farmer (a7), R. J. Polkinghorne (a8) and G. E. Gardner (a1)...


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