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Hierarchical clustering as a tool to develop a classification scheme for rabbit meat quality

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Hierarchical clustering as a tool to develop a classification scheme for rabbit meat quality

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Larivière-Lajoie, A-.; Cinq-Mars, D.; Guay, F.; Binggeli, S.; Dalmau, A.; Saucier, L. (2021). Hierarchical clustering as a tool to develop a classification scheme for rabbit meat quality. World Rabbit Science. 29(3):129-149. http://hdl.handle.net/10251/173795

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Title: Hierarchical clustering as a tool to develop a classification scheme for rabbit meat quality
Author: Larivière-Lajoie, A. -S. Cinq-Mars, Dancy Guay, Frederic Binggeli, Simon Dalmau, Antoni Saucier, Linda
Issued date:
Abstract:
[EN] This study aimed to characterise the quality of meat from commercially-raised rabbits. Animals came from five different producers and were  laughtered in three different plants under provincial or federal inspection ...[+]
Subjects: Cooking loss , DFD meat , Feed withdrawal , Hierarchical cluster analysis , Preslaughter management , Rabbit
Copyrigths: Reconocimiento - No comercial - Compartir igual (by-nc-sa)
Source:
World Rabbit Science. (issn: 1257-5011 ) (eissn: 1989-8886 )
Publisher:
Universitat Politècnica de València
Thanks:
This research was carried out with the financial support of the Programme de soutien à l’innovation en agroalimentaire, a programme derived from the Growing Forward agreement between the Ministère de l’agriculture des ...[+]
Type: Artículo

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