Article Dans Une Revue Meat and Muscle Biology Année : 2020

Research in Beef Tenderness and Palatability in the Era of Big Data

Résumé

For decades, research has focused on predicting beef palatability using muscle biochemical traits and various bio-markers. In these approaches, a precise definition of the variable to predict (tenderness assessed by panelists, untrained consumers , or shear force) and repeatability of the measurements are crucial for creating significant data resources for the derivation of robust predictive models, as well as rigorous validation testing. This "big data" approach as well as the rapid evolution of new measurement technologies require careful definition of traits and transparent principles for data sharing and management. In this context, AgroPortal is a common platform to receive and host existing description systems, such as Animal Trait Ontology for Livestock. Furthermore, as in other fields, meat science researchers should improve the Findability, Accessibility, Interoperability, and Reusability of data (known as the FAIR Data Principles). For beef, strategic choices have been made in order to consider real consumers' expectations, not well estimated correctly by lab approaches. Thus, Australia set up the Meat Standards Australia grading scheme based on beef assessment by untrained consumers. The ambitions of the International Meat Research 3G Foundation is to develop beef ontology, to set up an international database with a large number of consumers' scores related to beef palatability and collected according to standard protocols of the Meat Standards Australia methodology. The Foundation also aims to support the beef industry by offering an international predictive model of beef palatability, flexible enough to take into account any local livestock characteristics or regional consumer specificity. This approach is supported by the United Nations Economic Commission for Europe, which promotes development of regulations and norms, technical cooperation, and exchange of best expertise and practices. This will substantially improve the transparency of data flow and price signaling between all participants of the value chain, from beef producers through to consumers at retail.

Fichier principal
Vignette du fichier
mmb-9488-hocquette.pdf (585.78 Ko) Télécharger le fichier
Origine Fichiers produits par l'(les) auteur(s)
Licence
Loading...

Dates et versions

hal-02917766 , version 1 (19-08-2020)

Licence

Identifiants

Citer

Jean-François Hocquette, Marie-Pierre Ellies-Oury, Isabelle Legrand, David Pethick, Graham Gardner, et al.. Research in Beef Tenderness and Palatability in the Era of Big Data. Meat and Muscle Biology, 2020, 4 (2), pp.1 - 13. ⟨10.22175/mmb.9488⟩. ⟨hal-02917766⟩
161 Consultations
219 Téléchargements

Altmetric

Partager

  • More