Modelling the physiological, muscular, and sensory characteristics in relation to beef quality from 15 cattle breeds
2024
Albechaalany, J. | Ellies-Oury, M-P. | Saracco, J. | Campo, M.M. | Richardson, I. | Ertbjerg, P. | Failla, S. | Panea, B. | Williams, J.L. | Christensen, M. | Hocquette, J.-F. | Ecole Nationale Supérieure des Sciences Agronomiques de Bordeaux-Aquitaine (Bordeaux Sciences Agro) | Unité Mixte de Recherche sur les Herbivores - UMR 1213 (UMRH) ; VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE) | Méthodes avancées d’apprentissage statistique et de contrôle (ASTRAL) ; Institut de Mathématiques de Bordeaux (IMB) ; Université de Bordeaux (UB)-Institut Polytechnique de Bordeaux (Bordeaux INP)-Centre National de la Recherche Scientifique (CNRS)-Université de Bordeaux (UB)-Institut Polytechnique de Bordeaux (Bordeaux INP)-Centre National de la Recherche Scientifique (CNRS)-Centre Inria de l'Université de Bordeaux ; Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Naval Group | Universidad de Zaragoza = University of Zaragoza [Saragossa University] = Université de Saragosse | University of Bristol [Bristol] | Helsingin yliopisto = Helsingfors universitet = University of Helsinki | CREA-ZA | Davies Research Centre ; University of Adelaide | Frontmatec Smoerum AS ; Partenaires INRAE
International audience
显示更多 [+] 显示较少 [-]英语. Sensory beef quality is an important parameter for consumers, but it is difficult to understand what determines quality because of the large variation due to breed, type of animal, sex, and farm management. To address these challenges, meat samples from Longissimus thoracis (LT) were collected 24 h after slaughter from a total of 436 young bulls representing 15 cattle breeds. The samples were analysed for physiological, muscular, and sensory characteristics to evaluate beef quality. Ten groups of variables were identified by hierarchical cluster analysis of individual variables and Principal Component Analysis (PCA). The variables described distinct characteristics, including Physiological traits (animal maturity, growth rate, muscle mass), Sensory traits (tenderness, juiciness, flavor, meat colour), and some Muscular characteristics such as lipid content, maturation enzymes and oxidative metabolism, which are likely to discriminate among breeds. The analyses showed that muscular characteristics are positively associated with beef sensory characteristics whereas physiological characteristics are negatively associated with sensory quality. Dairy breeds produced beef rich in lipids with a strong flavour, French breeds showed fast growth rate and highly flavoured meat, and Italian breeds were characterised by good muscular development. In contrast, British breeds have oxidative muscles and produce beef with a strong flavour. Danish breeds have an intermediate score for the sensorial and muscular characteristics.
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