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Pre-Slaughter Sources of Fresh Meat Quality Variation: The Case of Heavy Pigs Intended for Protected Designation of Origin Products.

Luca SardiAlessandro GastaldoMarzia BorcianiAndrea BertoliniValeria MusiAnna GaravaldiGiovanna MarlianiDamiano CavalliniEleonora Nannoni
Published in: Animals : an open access journal from MDPI (2020)
This study focused on loin quality in Italian heavy pigs intended for the production of PDOs (Protected Designation of Origin) products, and investigated the pre-slaughter factors which negatively affect the quality of fresh meat. Data were collected on 44 shipments (loads) of pigs. Shipments were carried out under commercial conditions. Several pre-slaughter parameters were recorded within the entire process (on-farm, during transport, and at the slaughterhouse). On a subset of pigs (10 animals from every load, N = 440), serum cortisol and creatine kinase were measured and loin samples were analyzed for pH, instrumental color, drip loss, cooking loss, shear force, and sensory quality. Cluster analysis of the instrumentally-assessed meat quality parameters allowed the categorization of the shipments into two clusters: lower quality (LQ) and higher quality (HQ). Our results showed that the factors with significant differences between the two clusters were journey duration, ambient temperature, distance traveled, and irregular behaviors (slipping, falling, and overlapping) at unloading (all greater in LQ, p < 0.05). The pre-slaughter conditions associated with lower loin quality were ambient temperatures above 22 °C, distance traveled above 26 km, travel duration between 38-66 min, more than 5.9% of animals showing irregular behaviors at unloading.
Keyphrases
  • quality improvement
  • machine learning
  • single molecule
  • electronic health record
  • high resolution
  • mass spectrometry
  • deep learning
  • big data
  • drinking water
  • tyrosine kinase