Consumer perception of "artificial meat" in the educated young and urban population of Africa.

African's population is expected to grow especially in cities to reach about 2.5 billion in 2050. This will create an unprecedented boom in the demand for animal products over the coming years which will need to be managed properly. Industry stakeholders worldwide have been touting the potential benefits of "artificial meat" in recent years as a more sustainable way of producing animal protein. "Artificial meat" is therefore moving into the global spotlight and this study aimed to investigate how African meat consumers of the coming generations perceive it, i.e., the urban, more educated and younger consumers. Three surveys were conducted with more than 12,000 respondents in total. The respondents came from 12 different countries (Cameroon, Congo, -DRC Democratic Republic of Congo, Ghana, Ivory Coast, Kenya, Morocco, Nigeria, Senegal South Africa, Tanzania and Tunisia). Respondents in this survey prefered the term "artificial meat". This term was therefore used throughout the survey. "Artificial meat" proved to be fairly well known in the surveyed countries as about 64% the respondents had already heard of "artificial meat." Only 8.9% were definitely willing to try "artificial meat" (score of 5 on a scale of 1-5) mostly males between 31 and 50 years of age. Furthermore, 31.2% strongly agreed that "artificial meat" will have a negative impact on the rural life (score of 5 on a scale of 1-5) and 32.9% were not prepared to accept "artificial meat" as a viable alternative in the future but were still prepared to eat meat alternatives. Of all the results, we observed significant differences in responses between respondents' countries of origin, age and education level with interactions between these factors for willingness to try. For instance, the richest and most educated countries that were surveyed tended to be more willing to try "artificial meat." A similar pattern was observed for willingness to pay, except that gender had no significant effect and age had only a small effect. One major observation is that a large majority of respondents are not willing to pay more for "artificial meat" than for meat from livestock.

Across countries implementation of handheld near-infrared spectrometer for the on-line prediction of beef marbling in slaughterhouse.

Only few studies have used Near-Infrared (NIR) spectroscopy to assess meat quality traits directly in the chiller. The aim of this study was therefore to investigate the ability of a handheld NIR spectrometer to predict marbling scores on intact meat muscles in the chiller. A total of 829 animals from 2 slaughterhouses in France and Italy were involved. Marbling was assessed according to the 3G (Global Grading Guaranteed) protocol using 2 different scores. NIR measurements were collected by performing 5 scans at different points of the Longissimus thoracis. An average MSA marbling score of 330-340 was obtained in the two countries. The prediction models provided a R2 in external validation between 0.46 and 0.59 and a standard error of prediction between 83.1 and 105.5. Results did provide a moderate prediction of the marbling scores but can be useful in the European industry context to predict classes of MSA marbling.

A new semantic resource responding to the principles of Open Science: The meat thesaurus as an IT tool for dialogue between sector actors.

Nowadays, it is important to make the results of scientific research accessible in a simple and understandable way according to the Open Science policy. This movement uses tools to enhance findability and interoperability of data. This paper describes the transformation of the meat dictionary published by the French Meat Academy as a book into a machine actionable and freely accessible terminological resource based on the SKOS standard format. This thesaurus contains 1567 concepts describing the meat production chain. This work was carried out by experts in semantic web, meat biology and meat vocabulary. This thesaurus can be used to index articles, journals and datasets, thus facilitating consultation; it can also be used to facilitate interoperability of the indexed datasets and provide contextual definitions for building ontologies, i.e. formal descriptions of knowledge for reasoning on data. The thesaurus can be useful to enrich other vocabularies with new knowledge, such as French specificities in terms of meat cuts or definitions.