Implications

Delivering quality beef to the consumer relies upon both quantifying beef palatability and then accurately predicting that from information available at slaughter. The Meat Standards Australia (MSA) system has proved to be effective in predicting beef eating quality not only in Australia but also across a diverse range of countries and production systems in Europe. The implementation of the MSA index at the carcass level may offer new opportunities by calculating a potential ‘eating value’ for each carcass. Thus, the MSA index will give the possibility to improve eating quality through genetic selection and to reward processors and producers according to the carcass ‘eating value’, and thereby encouraging the production of better quality beef.

Prospects for an eating quality-based grading system in Europe

The beef industry is facing a changing market place, with evolving consumer demands and competition from emerging and alternative sources of protein (Bonny et al., Reference Bonny, Gardner, Pethick and Hocquette2015a). To remain competitive, the European beef industry must become more consumer-focussed, moving away from a basic, commodity type product, traded solely on price. For this to occur there must be ideological and structural changes throughout the supply chain, changing the type and amount of information flow between different sectors of the industry (Field et al., Reference Field, Lemenager, Long, Gardiner and Suttee2007). Currently, there is a disconnection between the consumer and the producer within the European Union, with no available mechanism for delivering feedback from the consumer to the producer. This was highlighted by Normand et al. (Reference Morgan, Savell, Hale, Miller, Griffin, Cross and Shackelford2014) who found no clear relationship between the selling price of beef and its tenderness in France.

The lack of clear information about eating quality has been addressed in the domestic Australian beef industry with the MSA system (Polkinghorne et al., Reference Polkinghorne, Philpott, Gee, Doljanin and Innes2008), which uses carcass and animal factors, along with stress minimisation protocols to grade beef carcasses on expected eating quality. Briefly, the system has two components: pre-slaughter guidelines and grading information, which are used to generate eating quality grades for different cut by cooking method combinations. Registered producers follow on farm requirements governing nutrition and welfare in the last 2 weeks before slaughter and supply information on animal breed to the processor. Processors follow similar pre-slaughter protocols and combine the information supplied by the producer with information collected at slaughter and at grading (after 24 h post slaughter) to generate the eating quality grades. If a similar system was implemented in the European Union, it would facilitate demand linked to eating quality and price signals enabling beef producers to receive clear messages from consumers.

One marked difference between Australia and Europe is the measurements and records available at slaughter. The European carcass grading system scores every beef carcass in Europe for fat-cover and conformation, and due to the relationship between this score and carcass fatness and yield (Indurain et al., Reference Indurain, Carr, Goni, Insausti and Beriain2009; Allais et al., Reference Allais, Leveziel, Payet-Duprat, Hocquette, Lepetit, Rousset, Denoyelle, Bernard-Capel, Journaux, Bonnot and Renand2010), the potential of this score to add value to an eating quality prediction system was investigated. In addition, while carcass maturity is estimated by ossification score in Australia, European processors have access to chronological age of each animal slaughtered. It is of interest to both industries to determine which of these measures has the strongest relationship with eating quality.

By allowing the average consumer to create the definition of beef eating quality, as is done within the MSA system, the industry can be confident that quality grades actually reflect a consumer’s eating experience (Watson et al., Reference Watson, Polkinghorne and Thompson2008a). An MSA-like quality-based grading system in Europe would reduce the variability in beef quality for consumers and provide a price signal to encourage the production of quality beef. However, for such a system to be implemented, it must be adapted to the European consumers and beef production systems. This review assesses the suitability of an MSA-like system for European consumers, and the ease with which it could be integrated into Europe, based on the existing measures, and the additional new measures that may be required. The review will also highlight the economic value of implementing a system of this type. Research into this area has been ongoing since 2005 and this paper presents the conclusions from this and other work with regards to grading beef for eating quality in the European Union. Preliminary results were presented at the 67th annual meeting of the European Association for Animal Production (Bonny et al., Reference Bonny, Gardner, Pethick, Legrand, Wierzbicki, Allen, Farmer, Polkinghorne and Hocquette2016a).

Quality in the European Union

Currently in the European Union, there is no standardised provision for beef grading on the basis of eating quality. The European carcass grading system (EUROP), which is mandatory, was never designed to give an indication of eating quality, but provides a grade for carcass conformation and fatness (Anonymous, 1982). This allows destination markets to make their own decisions on what constitutes ‘quality’, though in practice, this system has encouraged the production of high yielding, low fat carcasses, as producers respond to this price signal. The system also allows sectors to apply their own standards and requirements on top of the carcass grading system. Official quality labels (such as Label Rouge in France) and branded products such as Waitrose in the United Kingdom and Charal in France have a ‘pathways’ type approach to quality, proscribing certain production techniques in addition to minimum fatness and conformation scores (Codron et al., Reference Codron, Giraud-Héraud and Soler2005; Charal, 2013). Other labels, such as the European Protected Geographical Indication and European Protected Designation of Origin, indicate that the product comes from a certain region and/or was produced using a specific technique (Anonymous, 2017). Importantly, these European labels confer no information as to the expected eating quality of the product and only occupy around 5% of the market in France (Hocquette et al., Reference Hocquette, Jacquet, Giraud, Legrand, Sans, Mainsant and Verbeke2013) while significant variation in the quality of beef still exists in Europe, partly underpinning the continuous decline in beef consumption (FAO, 2015).

Clearly, an opportunity exists for adopting an MSA-like eating quality system in the European market. However, the existing MSA system may not be seamlessly applicable as it was designed for the Australian beef industry, and as such focusses on carcass measurements, cattle breeds and sexes that are common in Australia (Watson et al., Reference Watson, Gee, Polkinghorne and Porter2008b). Furthermore, European beef itself is derived from a diverse range of production systems and climates (Peel et al., Reference Peel, Finlayson and McMahon2007), consumers and cultures that differ markedly to those in Australia. Therefore, it is essential to investigate how these differences will influence the design of an eating quality-based grading system in Europe.

Can we guarantee eating quality for the European consumer?

Previous research has confirmed that European consumers would be responsive to an eating quality guarantee system similar to the MSA system (Verbeke et al., Reference Verbeke, Van Wezemael, de Barcellos, Kügler, Hocquette, Ueland and Grunert2010). However, the system would need to be simple and accurate as it will be competing with numerous pre-existing quality labels in the market (Hocquette et al., Reference Hocquette, Legrand, Jurie, Pethick and Micol2011). This is despite the fact that these labels are more directed to extrinsic quality traits and none really guarantees eating quality specifically. In addition, it must be questioned whether a single descriptor of eating quality would be applicable to all consumers, with the wide variety of branded products on the market targeting different consumer groups, and the diverse range of cultures that coexist within and between the different member states of the European Union,.

A consumer’s eating experience is one of the biggest determinants of repeat purchase intent, and as such, vital in maintaining, or growing market share for the beef industry (Morgan et al., 1991). Therefore, the most important goal for a grading system based on eating quality is to accurately identify beef of unsatisfactory quality. This unsatisfactory beef can then be directed away from the fresh beef market, thereby providing the consumer with a more consistent experience and more confidence in buying beef. The risk of a consumer having a negative eating experience with beef was investigated by Bonny et al. (Reference Bonny, Pethick, Legrand, Wierzbicki, Allen, Farmer, Polkinghorne, Hocquette and Gardner2017b) who analysed consumer scores of over 19 000 samples from 22 different muscles of European beef in France, Poland, Ireland and Northern Ireland. It was found that the chances of a consumer having a negative eating experience was on average 26%, though this varied by cut and cooking method. The same experiment found that, with a single score, unsatisfactory beef could be identified with 80% accuracy. If this beef could be identified before sale, then the chances of a consumer having a negative eating experience would decrease from around 25% to 7% (Figure 1). This alone would be hugely beneficial to the European beef industry.

Figure 1

Proportions of beef samples allocated to each quality grade by untrained consumers before and after all samples which were predicted as unsatisfactory were removed. Adapted from Bonny et al. (Reference Bonny, Gardner, Pethick, Legrand, Wierzbicki, Allen, Farmer, Polkinghorne and Hocquette2016a).

When determining quality grades for European consumers, tenderness was slightly more important than flavour liking, and much more important than juiciness, though this did vary between countries (Bonny et al., Reference Bonny, Pethick, Legrand, Wierzbicki, Allen, Farmer, Polkinghorne, Hocquette and Gardner2017b). The relative importance of the sensory attributes of beef in determining quality grades has shifted slightly in Australia over the last decade. This is evidenced by the evolution of the weightings for tenderness, juiciness, flavour liking and overall liking, used in the MSA system, in which the relative weighting for tenderness (previously 0.4) has decreased to 0.3, the same as that applied to flavour and overall liking (previously 0.2 and 0.3) (Watson et al., Reference Watson, Polkinghorne and Thompson2008a; Thompson et al., Reference Thompson, Polkinghorne, Gee, Motiang, Strydom, Mashau, Ng’ambi, deKock and Burrow2010). It is possible that the MSA system itself is responsible for this reduced weighting, with the controls imposed reducing the variation in tenderness evidenced within Australian beef at the point of consumption. On this basis, the relative importance of the other descriptors (i.e. flavour and juiciness) would be enhanced. Understanding the relative contribution of different traits to the evaluation of eating quality by consumers would allow the development of successful, high-value, niche products in the beef industry. This highlights the importance of continued consumer testing to ensure the grades remain linked to consumer expectations (Watson et al., Reference Watson, Polkinghorne and Thompson2008a; Thompson et al., Reference Thompson, Polkinghorne, Gee, Motiang, Strydom, Mashau, Ng’ambi, deKock and Burrow2010).

Consumer scores were also consistent between different European demographic groups (Bonny et al., Reference Bonny, Pethick, Legrand, Wierzbicki, Allen, Farmer, Polkinghorne, Hocquette and Gardner2017a and Reference Bonny, Pethick, Legrand, Wierzbicki, Allen, Farmer, Polkinghorne, Hocquette and Gardner2017b), similar to previous work in other countries (Hwang et al., Reference Hwang, Polkinghorne, Lee and Thompson2008; Watson et al., Reference Watson, Polkinghorne and Thompson2008a; Thompson et al., Reference Thompson, Polkinghorne, Gee, Motiang, Strydom, Mashau, Ng’ambi, deKock and Burrow2010). As was seen in Australia, Bonny et al. (Reference Bonny, Pethick, Legrand, Wierzbicki, Allen, Farmer, Polkinghorne, Hocquette and Gardner2017a) found that the biggest influence on sensory scores across Europe was how important consumers considered red meat in their diet. Consumers considering meat more important scored beef more favourably than consumers who considered red meat as less important in their diet. However, the differences found were small, between 1 and 3 points out of 100. These small differences are unlikely to affect the accuracy of a grading system based on eating quality. This demonstrates that a single grading system could accurately categorise beef into quality grades for the entire market, serving consumers across all demographic categories. However, further work in additional countries, such as new collaborative partners in Italy and Spain, will help to characterise these relationships in different cultural groups.

Ease of adoption of an eating quality-based grading system in Europe

Previous experience with the implementation of the MSA system in Australia has shown that an eating quality-focussed grading system needs to be demand-driven, starting with retailers, before significant commercial advantages can be made throughout the supply chain (Polkinghorne et al., Reference Polkinghorne, Philpott, Gee, Doljanin and Innes2008). This is because, ultimately, consumer demand for quality beef is expressed through sales at retail. It is also the initial source of price signals. Price differentials at retail will drive increased demand for this product from processors who will ultimately pass this value back to producers as they compete more strongly for the cattle that deliver this premium quality meat. This process was seen during the development of the Australian MSA system, which now commands an average AUD$ 0.32/kg premium for MSA-graded carcasses, which delivered a total of AUD$ 185 million extra to Australian farmers in 2014/2015 (MLA, 2016). However, the notion that the MSA system can be directly implemented in the European Union would be naïve, particularly given that this system has been specifically designed for Australian cattle and local production systems. The Australian production system and cattle breeds are, in many ways, quite different to those present in the European industry. Nevertheless, several studies have shown that MSA, with or without some adaptation, can be applied to European beef and improve eating quality (Farmer et al., Reference Farmer, Devlin, Gault, Gee, Gordon, Moss, Polkinghorne, Thompson, Tolland and Tollerton2009; Hocquette et al., Reference Hocquette, Legrand, Jurie, Pethick and Micol2011; Legrand et al., Reference Legrand, Hocquette, Polkinghorne and Pethick2013). This highlights the fact that there are many relevant areas of overlap between the two industries and opportunities for new grading measurements.

Relevance of existing measures of eating quality in Europe

Around the time of slaughter, there is a wide array of information available to producers and processors within the European Union, and some of this information has the potential to add precision and accuracy to an eating quality-based grading system. One example of routinely collected information is the European carcase grading scores (conformation and fatness) which are recorded on every carcass slaughtered in the European Union (Anonymous, 2009). Furthermore, all carcasses have a ‘European passport’ which includes information about breed, sex and chronological age with a precision of 1 day (Anonymous, 2009). Investigating this information was prioritised as there is evidence that breed and sex affect the eating quality of beef (Dransfield et al., Reference Dransfield, Martin, Bauchart, Abouelkaram, Lepetit, Culioli, Jurie and Picard2003). In addition, there were some concerns that the EUROP conformation score might have a negative relationship with eating quality due to the positive relationship between this score and lean meat yield (Oliver et al., Reference Normand, Rubat, Evrat-Georgel, Turin and Denoyelle2010).

Whilst correlated with yield, Bonny et al. (Reference Bonny, Hocquette, Pethick, Farmer, Legrand, Wierzbicki, Allen, Polkinghorne and Gardner2016c) demonstrated that the European conformation score had no relationship with eating quality, confirming other results (Guzek et al., Reference Guzek, Glabska, Pogorzelski, Kozan, Pietras, Konarska, Sakowska, Glabski, Pogorzelska, Barszczewski and Wierzbicka2013). On this basis, the last 30 years of selection to optimise conformation and fat scores are unlikely to have impacted eating quality, although this may have affected eating quality by reducing marbling. Importantly, this means that the continued use of these scores for carcass classification and price reporting will not contradict efforts to improve the eating quality of beef. However, this also indicates that the European carcase grading system will not help to predict eating quality.

The vast majority of the data underpinning the MSA system comes from steers or heifers of British breeds (Bos taurus) such as Aberdeen-Angus and Hereford, or Bos indicus, or crosses between these breeds (Watson et al., Reference Watson, Gee, Polkinghorne and Porter2008b). In contrast, in Europe, all cattle are B. taurus. Within France and Poland, cows and/or young bulls of both beef and dairy breeds are the biggest contributors to beef production, with heifers only contributing around 14%, and steers even less. Alternatively, steers are very important in Ireland and Northern Ireland, consisting of ~38% of the annual kill, with heifers at 27%, and almost no bulls (De Roest, Reference De Roest2015). Therefore, it is essential to investigate the ability of the MSA model to predict consumer scores from bulls and dairy animals.

Dairy breeds make up a significant proportion of beef production in the European Union (De Roest, Reference De Roest2015). Differences between dairy and beef breeds (Lizaso et al., Reference Lizaso, Beriain, Horcada, Chasco and Purroy2011) and across beef breeds (Cuvelier et al., Reference Cuvelier, Cabaraux, Dufrasne, Clinquart, Hocquette, Istasse and Hornick2006) have been well documented, though most differences, such as carcass weight and intramuscular fat (IMF) content could be accounted for with standard carcass measurements (marbling and hot carcass weight) at slaughter. However, the results from Bonny et al. (Reference Bonny, Hocquette, Pethick, Farmer, Legrand, Wierzbicki, Allen, Polkinghorne and Gardner2016b) demonstrated that, even after correcting for these standard carcase measurements, a number of cuts from dairy breeds still had better eating quality scores than those from beef breeds, confirming a previous study indicating a higher flavour for the Holstein breed compared with the Salers breed (Jurie et al., Reference Jurie, Picard, Hocquette, Dransfield, Micol and Listrat2007). This indicates that a positive adjustment for dairy breed type would be important in a future European grading system. Moreover, as the breed information is available to the industry, it would cost very little to record. It is important to note that the magnitude of the effect varied by muscle in this study, being up to 7 points for some cuts and nil for others. This may be a result of true variation between muscles or a reflection of differences in the amount of data available for certain muscles, either in the European database or the Australian database. It is important to note that the effect of muscle type on eating quality explains far more of the variation in eating quality than breed, or indeed than any of the other factors discussed in this paper (Jurie et al., Reference Jurie, Picard, Hocquette, Dransfield, Micol and Listrat2007). Therefore, further work in both continents to address the limited data available within some muscles would increase the accuracy of the grading system in both Australia and the European Union.

Sex is also a factor known to influence the eating quality of meat (Boccard et al., Reference Boccard, Naudé, Cronje, Smit, Venter and Rossouw1979; Seideman et al., Reference Seideman, Cross and Crouse1989; Chriki et al., Reference Chriki, Renand, Picard, Micol, Journaux and Hocquette2013), yet in the Australian MSA system young bulls are not represented as they are rare in Australia. By contrast, in the European Union, young bulls are an important production class (De Roest, Reference De Roest2015), highlighting the need to establish the eating quality of this class of cattle. The work of Bonny et al. (Reference Bonny, Hocquette, Pethick, Farmer, Legrand, Wierzbicki, Allen, Polkinghorne and Gardner2016b) demonstrated that bulls had a slightly lower eating quality than females after correction for other carcass measurements. Similar to breed, this information is readily available at slaughter, thus costing relatively little to incorporate this information and achieve the gains in accuracy in an eating quality-based grading system. Eating quality price signals that differentiate between sexes would also allow producers to make informed production decisions regarding management practices such as castration. In addition, leaving males entire increases carcass yield via their ‘natural’ level of growth promotion, and aligns with improved animal welfare practices which are likely to reduce the practice of castration in future years (Stafford and Mellor, Reference Stafford and Mellor2005).

The final item of information uniquely available within the European production system is chronological age. This is important because as animals mature, the tenderness of their meat decreases, particularly due to collagen cross-linking (Bailey, Reference Bailey1985). On this basis, it is vital that an estimate of physiological maturity is included in any system predicting eating quality. At present, the MSA system uses a proxy for animal maturity called ossification score, which is a measure of bone maturity (Watson et al., Reference Watson, Gee, Polkinghorne and Porter2008b). This is not recorded within the European Union, yet could be replaced by animal age which is routinely collected by farmers and reported to processors within the EU (Anonymous, 2009). One potential strength of this is that in contrast to chronological age ossification score increases with age before reaching a plateau when animals reach their physiological maturity (Figure 2). Therefore (Bonny et al., Reference Bonny, Hocquette, Pethick, Legrand, Wierzbicki, Allen, Farmer, Polkinghorne and Gardner2016d), explored chronological age as an alternative descriptor of maturity and demonstrated that it has no relationship with eating quality for carcasses <3 years old. In contrast, in older skeletally mature cattle, animal age had a stronger relationship with eating quality than ossification score. This represents an important consideration within the European Union because different countries make far greater use of older animals. Indeed, mature cattle comprise ~60% of the cattle slaughtered annually in the European Union (De Roest, Reference De Roest2015). While young cattle are more commonly associated with prime beef production, classifying older cattle is still relevant. Bonny et al. (Reference Bonny, Hocquette, Pethick, Legrand, Wierzbicki, Allen, Farmer, Polkinghorne and Gardner2016d) showed that carcases from extremely mature cows, above 10 years of age, still produced some cuts of beef with acceptable eating quality. Therefore, correctly evaluating the eating quality of beef from all carcasses, including young and mature ones, will require knowledge of both animal age and ossification score. This will ensure that all quality beef is identified and delivered to the consumer at a price reflecting eating quality, maximising value and reducing waste in the industry. However, further investigation is required to evaluate the eating quality of beef from mature carcasses as there were only limited numbers in this study (Bonny et al., Reference Bonny, Hocquette, Pethick, Legrand, Wierzbicki, Allen, Farmer, Polkinghorne and Gardner2016d).

Figure 2

Relationship between animal age and ossification score (an indicator of physiological maturity). As a consequence of the plateau in ossification score for the more mature animals, animal age is more appropriate for carcasses with greater maturity. However, for the animals with lesser maturity ossification score is a better predictor of eating quality. Adapted from Bonny et al. (Reference Bonny, Hocquette, Pethick, Legrand, Wierzbicki, Allen, Farmer, Polkinghorne and Gardner2016d).

Possibilities for genetics and breeding for eating quality

The mean heritability coefficient (h ²) for the tenderness score is around 0.24, while for juiciness and flavour scores, heritability is as low as 0.11 and 0.09, respectively (reviewed by Hocquette et al., Reference Hocquette, Renand, Levéziel, Picard and Cassar-Malek2006). Therefore, it seems that only small genetic gains would be achieved by selecting on these traits alone. Phenotypic traits such as IMF, carcass weight and ossification score (which combined form a proxy for growth rate) have a large impact on the palatability score in the MSA grading scheme (Watson et al., Reference Watson, Gee, Polkinghorne and Porter2008b). These traits also have a moderate to strong genetic component with heritabilities of ~0.32 to 0.93 (mean of 0.50 for IMF) and 0.18 to 0.31 (mean of 0.25 for growth rate), respectively, depending on the cohort studied (Shackelford et al., Reference Shackelford, Koohmaraie, Cundiff, Gregory, Rohrer and Savell1994). This implies that eating quality can be improved indirectly through targeted breeding programmes and genetic selection in favour of traits that are easier to assess routinely (such as marbling), have a high h ² value and a large impact on sensory quality. Indeed, both IMF content and marbling score have high genetic correlations with tenderness (r _G is around 0.4 to 0.5). However, the effect of selection on these factors must be considered. For example, selection on the basis of IMF or marbling without considering carcass fatness will have counterproductive effects on lean meat yield due to a positive genetic correlation between marbling and carcass fatness (r _G between these two traits being around 0.4) (Hocquette et al., Reference Hocquette, Renand, Levéziel, Picard and Cassar-Malek2006).

In recent decades, many research programmes have searched for genetic markers, such as single nucleotide polymorphisms (SNPs) in specific genes known to be related to beef sensory qualities. Early programmes aimed at detecting genome regions called quantitative trait loci (QTL) which harbour mutations related to quality traits via the joint analysis of phenotype variability and marker polymorphisms located on the whole genome. The detection and fine mapping (3 to 4 cM) of numerous QTLs has been performed with association analyses looking at SNPs and phenotypes in a large number of animals in France and Australia. These studies were performed first by gene candidate approaches and then by genome-wide analysis, which is limited by the significant proportion of false positives. Nevertheless, the discovery of SNPs associated to QTLs known to be related to beef sensory qualities (Allais et al., Reference Allais, Journaux, Levéziel, Payet-Duprat, Raynaud, Hocquette, Lepetit, Rousset, Denoyelle, Bernard-Capel and Renand2011 and Reference Allais, Levéziel, Hocquette, Rousset, Denoyelle, Journaux and Renand2014) can be used to implement marker assisted selection or genomic selection, once the set of markers were validated in independent populations. However, it is important to note that with selection pressure, the apparent associations between SNPs and phenotypic traits are likely to be weakened with time. This is due to the natural recombination between genetic markers used in the genomic selection and causal mutations on specific genes which are biologically associated with beef sensory qualities. This problem can be minimised by using a high density array to increase the numbers of SNPs utilised for selection. The higher the density, the higher is the probability that the SNP’s used are in close association with actual causal mutations (reviewed by Picard et al., Reference Picard, Lebret, Cassar-Malek, Liaubet, Berri, Le Bihan-Duval, Hocquette and Renand2015).

The MSA grading scheme offers new potential opportunities. In Australia, the beef industry has responded to the potential for genetic gain in the area of eating quality with the creation of the MSA index (McGilchrist et al., Reference Oliver, Mendizabal, Ripoll, Albertí and Purroypersonal communication). This index combines the MSA grading results for individual muscles from carcasses, multiplied by the proportion of that cut within the carcass, to provide a single score of potential eating quality for the entire carcass (Figure 3). The most common cooking method for each cut is used, and for the calculation of the index, a hypothetical 5 days ageing and Achilles suspension is applied to the whole carcass.

Figure 3

(colour online) An illustration of the Meat Standards Australia (MSA) carcass index. The quality score of each cut, for the best cooking method, and a standard 5 days ageing and Achillies hanging method is calculated. This score is multiplied by the proportion of that cut within the carcass, and summed with all the others to form the final index score. Adapted from McGilchrist et al. (Reference Oliver, Mendizabal, Ripoll, Albertí and Purroypersonal communication).

Preliminary work in Australia has indicated that higher heritabilities can be achieved for this carcass index with untrained consumers and MSA taste panel protocols than for sensory scores alone. As a result, research in Australia is currently underway to link MSA eating quality scores with estimated breeding values, which is essential to enable producers to include eating quality as part of their breeding strategy. The MSA index is also affected by management prior to slaughter through nutrition and associated growth paths and decisions regarding the use of hormonal growth promoters. The producer is consequently provided with an indicator of his total contribution to eating quality reflecting his choice of genetic material and subsequent management to slaughter. The Index is additional to other mandatory data for all grading inputs used in MSA-graded carcasses in Australia.

Economic impact

Review of added value in Australia

The success of the Australian MSA system has come from the economic benefits related to supplying better quality beef to consumers (Polkinghorne et al., Reference Polkinghorne, Philpott, Gee, Doljanin and Innes2008; Griffith and Thompson, Reference Griffith and Thompson2012). As consumers were willing to pay more for a better quality product, the price differential enabled the industry to use premiums to reward processors and producers, thereby encouraging the production of better quality beef. The last extensive review of the MSA system was performed in 2011. At that stage, the cumulative benefit of the system to the Australian beef industry (producers, processors, retailers, etc.) was AUD$ 523 million (Griffith and Thompson, Reference Griffith and Thompson2012). After accounting for the costs of research and development and implementation, the net benefit up to 2011 was AUD$ 200 million. In 2016, there was an average price premium for MSA compliant carcasses of AUD$ 0.24/kg, and an average retail premium of AUD$ 4.33/kg for tenderloin (Figure 4). For the 2015/16 financial year, there was an estimated additional AUD$ 153 million returned to the farm gate from retail premiums for 3.1 million MSA-graded carcasses (MLA, 2016). This can be further broken down to an average of AUD$ 66/head for grass fed and AUD$ 45/head for grain fed cattle.

Figure 4

Average price differentials (AUD$) for Meat Standards Australia (MSA)-graded beef by cut in the 2015/16 financial year in Australia (from MLA, 2016). As reported by Meat Livestock Australia in their reports (MLA, 2016), 1100 independent butcher surveys were conducted during one financial year by Millward Brown. Then, differences between the average prices for MSA-cuts and non-MSA cuts were calculated for cube roll, knuckle, rump, striploin, tenderloin, T-bone and blade.

Expected added value in Europe

Consumer surveys (Bonny et al., Reference Bonny, Pethick, Legrand, Wierzbicki, Allen, Farmer, Polkinghorne, Hocquette and Gardner2017a) suggest that Europeans are willing to pay similar premiums for better quality beef to Australian consumers for better quality beef (Figure 5). We have also shown that a grading system based on eating quality would perform well for European consumers, allowing price differentials for different quality grades of beef at the point of sale (Bonny et al., Reference Bonny, Pethick, Legrand, Wierzbicki, Allen, Farmer, Polkinghorne, Hocquette and Gardner2017a and Reference Bonny, Pethick, Legrand, Wierzbicki, Allen, Farmer, Polkinghorne, Hocquette and Gardner2017b). The combination of these two factors would imply that there would be a similar price premium in abattoirs for carcasses complying with the grading system in both Australia and the EU. This price premium for carcasses would then be expected to encourage the production of quality beef, as has been seen in the Australian domestic cattle industry.

Figure 5

Proportional willingness to pay of consumers for four quality grades of beef for seven countries. Adapted from Bonny et al. (Reference Bonny, Pethick, Legrand, Wierzbicki, Allen, Farmer, Polkinghorne, Hocquette and Gardner2017a), Thompson et al. (Reference Thompson, Polkinghorne, Gee, Motiang, Strydom, Mashau, Ng’ambi, deKock and Burrow2010), Smith et al. (Reference Smith, Tatum and Belk2008) and Polkinghorne et al. (Reference Polkinghorne, Nishimura, Neath and Watson2011).

If we say that the average wholesale price per kg is AUD$ 5.50 from Australian sources (MLA website, 2017) then a AUD$ 0.30 premium is 5.5% over the standard non-MSA carcass price. Assuming that the average price per kg in the European Union is €3.80, a 5.5% premium is €0.21 (EuroSTAT website). To extend this to the whole of the European market, it is noted that the EU produced ~7.5 million tonnes of beef in 2015. If we make a conservative estimate that half of the beef produced is graded and meets specification, then the total value of a quality-based grading system that would flow through the farm gate to producers would be €787.5 million. For only one-quarter of the total volume of beef produced, the value for producers would be €393.75 million. As such, the value of a system to the industry as a whole, including processors and retailers, would be expected to be even higher.