Using Infrared Ocular Thermography to Predict Beef Quality from Lean Cattle Breeds Prior to Slaughter: Exploratory Trial
| Autor: | Horcada Ibáñez, Alberto Luis, Juárez Dávila, Manuel María, Bartolomé Medina, Ester, Valera Córdoba, María Mercedes |
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| Přispěvatelé: | Universidad de Sevilla. Departamento de Ciencias Agroforestales, Universidad de Sevilla. AGR273: Nuevas Tecnologías de Mejora Animal y de Sus Sistemas Productivos |
| Rok vydání: | 2019 |
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| Zdroj: | idUS. Depósito de Investigación de la Universidad de Sevilla instname |
| 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 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 |
| Databáze: | OpenAIRE |
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