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The authors would like to thank Drs Carlos Sanudo, Geoff Nute, and Pere Alberti for their valuable scientific contributions. This work was funded by the EU Commission Sixth Framework Programme Project "GemQual" (QLK5-CT-2000-00147) . JLW is currently supported by the project LEO Livestock Environment Open-data, 16.2 - PSRN 2014-2020 funded through Fondo Europeo Agricolo per lo Sviluppo Rurale (FEASR) . JA is currently supported by the INTAQT project that has received funding from the European Union's Horizon 2020 research and innovation program under grant agreement N 101000250r (FEASR) . JA is currently supported by the INTAQT project that has received funding from the European Union's Horizon 2020 research and innovation program under grant agreement N 101000250

Analysis of institutional authors

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June 15, 2024
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Modelling the physiological, muscular, and sensory characteristics in relation to beef quality from 15 cattle breeds

Publicated to:Livestock Science. 280 105395- - 2024-01-12 280(), DOI: 10.1016/j.livsci.2023.105395

Authors: 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

Affiliations

Bordeaux Sci Agro, CS 40201, Gradignan F-33175 BC, France - Author
CITA, Zaragoza 50059, Spain - Author
CREA ZA, I-00015 Monterotondo, Italy - Author
Frontmatec Smoerum AS, DK-2765 Smoerum, Denmark - Author
Univ Adelaide, Davies Res Ctr, Adelaide, Australia - Author
Univ Bordeaux, INRIA, F-33400 Talence, France - Author
Univ Bristol, Bristol, England - Author
Univ Cattolica Sacro Cuore, Dept Anim Sci Food & Nutr, Piacenza, Italy - Author
Univ Clermont Auvergne, INRAE, UMR1213, VetAgro Sup,Rech Sur Herbivores, F-63122 Theix, France - Author
Univ Helsinki, Helsinki 00014, Finland - Author
Univ Zaragoza, Zaragoza 50013, Spain - Author
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Abstract

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.

Keywords

AssociatioBeefBreedCarcassCharolaisColorEating qualityFragmentationMeatMeat qualityMuscle characteristicMuscle characteristicsQualityTraitsYoung bulls

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal Livestock Science due to its progression and the good impact it has achieved in recent years, according to the agency Scopus (SJR), it has become a reference in its field. In the year of publication of the work, 2024 there are still no calculated indicators, but in 2023, it was in position , thus managing to position itself as a Q1 (Primer Cuartil), in the category Veterinary (Miscellaneous).

Independientemente del impacto esperado determinado por el canal de difusión, es importante destacar el impacto real observado de la propia aportación.

Según las diferentes agencias de indexación, el número de citas acumuladas por esta publicación hasta la fecha 2025-08-06:

  • WoS: 3
  • Scopus: 4

Impact and social visibility

From the perspective of influence or social adoption, and based on metrics associated with mentions and interactions provided by agencies specializing in calculating the so-called "Alternative or Social Metrics," we can highlight as of 2025-08-06:

  • The use, from an academic perspective evidenced by the Altmetric agency indicator referring to aggregations made by the personal bibliographic manager Mendeley, gives us a total of: 8.
  • The use of this contribution in bookmarks, code forks, additions to favorite lists for recurrent reading, as well as general views, indicates that someone is using the publication as a basis for their current work. This may be a notable indicator of future more formal and academic citations. This claim is supported by the result of the "Capture" indicator, which yields a total of: 9 (PlumX).

With a more dissemination-oriented intent and targeting more general audiences, we can observe other more global scores such as:

  • The Total Score from Altmetric: 3.
  • The number of mentions on the social network X (formerly Twitter): 6 (Altmetric).

Leadership analysis of institutional authors

This work has been carried out with international collaboration, specifically with researchers from: Australia; Denmark; Finland; France; Italy; United Kingdom.