Beef Tenderness Prediction by a Combination of Statistical Methods: Chemometrics and Supervised Learning to Manage Integrative Farm-To-Meat Continuum Data

This trial aimed to integrate metadata that spread over farm-to-fork continuum of 110 Protected Designation of Origin (PDO)Maine-Anjou cows and combine two statistical approaches that are chemometrics and supervised learning; to identify the potential predictors of beef tenderness analyzed using the...

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Detalles Bibliográficos
Autores principales: Gagaoua, Mohammed, Monteils, Valérie, Couvreur, Sébastien, Picard, Brigitte
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6678335/
https://www.ncbi.nlm.nih.gov/pubmed/31336646
http://dx.doi.org/10.3390/foods8070274

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6678335/
https://www.ncbi.nlm.nih.gov/pubmed/31336646
http://dx.doi.org/10.3390/foods8070274

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