Short communication: Using infrared ocular thermography as a tool to predict meat quality from lean cattle breeds prior to slaughter: Exploratory trial

Autor: Alberto Horcada, Manuel Juárez, Mercedes Valera, Ester Bartolomé
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Zdroj: Spanish Journal of Agricultural Research, Vol 17, Iss 4, Pp e06SC01-e06SC01 (2020)
Druh dokumentu: article
ISSN: 2171-9292
9174-1548
DOI: 10.5424/sjar/2019174-15487
Popis: Aim of study: To assess the potential of using infrared ocular thermography (IROT) as a tool to predict beef quality at the slaughterhouse. Area of study: The study was carried out in the Salteras’s slaughterhouse (Seville, Spain). Material and methods: Ocular temperature images were captured from 175 lean young bulls prior to slaughter. Carcasses were classified into three groups according to weight: ˂250 kg, 250-310 kg and ˃310 kg. IROT was measured just before slaughter and pH was measured 24 h later. Colour parameters (CIELAB space) were evaluated 48 h post-slaughter. Water holding capacity was evaluated at seven days after slaughter. Main results: IROT mean values were higher in heavier bulls (p
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