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Assessing the relationship between muscle-to-fat ratio in pork belly and Boston butt using magnetic resonance imaging

  • Sheena Kim (Department of Animal Biotechnology, Dankook University) ;
  • Jeongin Choi (College of Veterinary Medicine and Research Institute of Veterinary Medicine, Chungnam National University) ;
  • Eun Sol Kim (Department of Animal Biotechnology, Dankook University) ;
  • Gi Beom Keum (Department of Animal Biotechnology, Dankook University) ;
  • Hyunok Doo (Department of Animal Biotechnology, Dankook University) ;
  • Jinok Kwak (Department of Animal Biotechnology, Dankook University) ;
  • Sumin Ryu (Department of Animal Biotechnology, Dankook University) ;
  • Yejin Choi (Department of Animal Biotechnology, Dankook University) ;
  • Juyoun Kang (Department of Animal Biotechnology, Dankook University) ;
  • Haram Kim (Department of Animal Biotechnology, Dankook University) ;
  • Yeongjae Chae (Department of Animal Biotechnology, Dankook University) ;
  • Yujung Lee (College of Veterinary Medicine and Research Institute of Veterinary Medicine, Chungnam National University) ;
  • Dongjun Kim (College of Veterinary Medicine and Research Institute of Veterinary Medicine, Chungnam National University) ;
  • Kuk-Hwan Seol (Planning & Coordination Division, National Institute of Animal Science, Rural Development Administration) ;
  • Sun Moon Kang (Planning & Coordination Division, National Institute of Animal Science, Rural Development Administration) ;
  • Yunseok Kim (Animal Products Utilization Division, National Institute of Animal Science, Rural Development Administration) ;
  • Pil Nam Seong (Animal Products Utilization Division, National Institute of Animal Science, Rural Development Administration) ;
  • In-Seon Bae (Animal Products Utilization Division, National Institute of Animal Science, Rural Development Administration) ;
  • Soohyun Cho (Animal Products Utilization Division, National Institute of Animal Science, Rural Development Administration) ;
  • Hyo Jung Kwon (College of Veterinary Medicine and Research Institute of Veterinary Medicine, Chungnam National University) ;
  • Samooel Jung (Division of Animal and Dairy Science, Chungnam National University) ;
  • Youngwon Lee (College of Veterinary Medicine and Research Institute of Veterinary Medicine, Chungnam National University) ;
  • Hyeun Bum Kim (Department of Animal Biotechnology, Dankook University)
  • Received : 2024.03.29
  • Accepted : 2024.05.16
  • Published : 2024.06.01

Abstract

This research aimed to investigate the relationship between meat quality and muscle-to-fat ratio in specific cuts of pork (pork belly and Boston butt) utilizing magnetic resonance imaging (MRI). Twenty-eight pigs were selected, and 24 hours post-slaughter, pork belly and Boston butt samples were individually extracted from the left half carcass for MRI assessment. The MRI scans were reviewed using the Picture Archiving and Communications System. Muscle and fat volumes in the pork belly and Boston butt from the cross-sectional images captured by MRI were estimated using Vitrea workstation version 7. Subsequently, these data were processed using Vitrea post-processing software to automatically determine the volumes, measured in milliliters (mL). Additionally, a three-dimensional reconstruction of the organ being studied was generated. The relationship between regions (pork belly and Boston butt) was assessed using Pearson's correlation coefficient, and statistical analysis was conducted using Graph Pad Prism 8. The muscle-to-fat ratio determined by MRI for pork belly was 1 : 0.64, whereas for Boston butt it was 1 : 0.35. Results of comparing the muscle-fat ratio, the correlation coefficient between pork belly and Boston butt was found to be 0.6127 (R2 = 0.3754, p < 0.001) based on MRI analysis. As a result of measuring the muscle-to-fat ratio using MRI as a non-destructive approach, there was a positive correlation between the muscle-to-fat ratios of pork belly and Boston butt.

Keywords

Acknowledgement

This work was carried out with the support of "Cooperative Research Program for Agriculture Science and Technology Development (Project No. PJ0162112024, RS-2021-RD010001)" Rural Development Administration, Republic of Korea.

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