1. Using Infrared Ocular Thermography to Predict Beef Quality from Lean Cattle Breeds Prior to Slaughter: Exploratory Trial
- Author
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Horcada Ibáñez, Alberto Luis, Juárez Dávila, Manuel María, Bartolomé Medina, Ester, Valera Córdoba, María Mercedes, Universidad de Sevilla. Departamento de Ciencias Agroforestales, and Universidad de Sevilla. AGR273: Nuevas Tecnologías de Mejora Animal y de Sus Sistemas Productivos
- Subjects
Eye temperature cattle breeds ,Beef quality ,pH ,Water holding capacity ,Stress ,Spanish native ,Colour parameters - Abstract
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 classied 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
- Published
- 2019