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The main goal of this online survey was to investigate the attitudes of Brazilians towards “cell-based meat”, which has become the subject of great scientific and media enthusiasm. The answers of 4471 respondents concluded that 46.6% of them thought “cell-based meat” was promising and acceptable. More than 66% would be willing to try this novel product compared to 23% who expressed reluctance to do so. Nearly 40% of the total respondents did not want to eat “cell-based meat” regularly at all, whereas 29%, 43.2%, and 39.9% were willing to eat it regularly in restaurants, at home, and/or in ready-made meals, respectively. However, the majority of respondents (71%) were keen to pay much less for “cell-based meat” than conventionally produced meat (or even nothing at all), compared to 24.3% who were willing to pay the same price as conventional meat, whereas only 4.8% were willing to pay more. Approximately 51% of them considered that “cell-based meat” should not be called “meat” for marketing purposes. Job, monthly income, age, and gender were major factors impacting consumer acceptance. Meat professionals and consumers with higher incomes were less willing to eat “cell-based meat” regularly. Women (especially younger women) were the most concerned about the ethical and environmental issues related to meat production and were the most convinced that reducing meat consumption could be a good solution to the meat industry’s problems. Respondents who did not accept “cell-based meat” and did not eat meat substitutes had a negative attitude to this novel food (they considered it absurd and/or disgusting) and did not believe that “cell-based meat” should be called “meat” for marketing purposes. In contrast, the people who thought that “cell-based meat” could be called “meat” perceived it in a rather positive way. These results are important for consumers of meat and meat substitutes and for companies aiming to enter the potential future Brazilian market of “cell-based meat”.

The interest for artificial meat has recently expanded. However, from the literature, perception of artificial meat in China is not well known. A survey was thus carried out to investigate Chinese attitudes toward artificial meat. The answers of 4666 respondents concluded that 19.9% and 9.6% of them were definitely willing and unwilling to try artificial meat respectively, whereas 47.2% were not willing to eat it regularly, and 87.2% were willing to pay less for it compared to conventional meat. Finally, 52.9% of them will accept artificial meat as an alternative to conventional meat. Emotional resistance such as the perception of “absurdity or disgusting” would lead to no willingness to eat artificial meat regularly. The main concerns were related to safety and unnaturalness, but less to ethical and environmental issues as in Western countries. Nearly half of the respondents would like artificial meat to be safe, tasty, and nutritional. Whereas these expectations have low effects on willingness to try, they may induce consumers’ rejection to eat artificial meat regularly, underlying the weak relationship between wishes to try and to eat regularly. Thus, potential acceptance of artificial meat in China depends on Chinese catering culture, perception of food and traditional philosophy.

The beef industry is organized around different stakeholders, each with their own expectations, sometimes antagonistic. This article first outlines these differing perspectives. Then, various optimization models that might integrate all these expectations are described. The final goal is to define practices that could increase value for animal production, carcasses and meat whilst simultaneously meeting the main expectations of the beef industry. Different models previously developed worldwide are proposed here. Two new computational methodologies that allow the simultaneous selection of the best regression models and the most interesting covariates to predict carcass and/or meat quality are developed. Then, a method of variable clustering is explained that is accurate in evaluating the interrelationships between different parameters of interest. Finally, some principles for the management of quality trade-offs are presented and the Meat Standards Australia model is discussed. The “Pareto front” is an interesting approach to deal jointly with the different sets of expectations and to propose a method that could optimize all expectations together.