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논문 기본 정보

자료유형
학술저널
저자정보
Sheena Kim (Dankook University) Jeongin Choi (Chungnam National University) Eun Sol Kim (Dankook University) Gi Beom Keum (Dankook University) Hyunok Doo (Dankook University) Jinok Kwak (Dankook University) Sumin Ryu (Dankook University) Yejin Choi (Dankook University) Juyoun Kang (Dankook University) Haram Kim (Dankook University) Yeongjae Chae (Dankook University) Yujung Lee (Chungnam National University) Dongjun Kim (Chungnam National University) Kuk-Hwan Seol (Rural Development Administration) Sun Moon Kang (Rural Development Administration) Yunseok Kim (Rural Development Administration) Pil Nam Seong (Rural Development Administration) In-Seon Bae (Rural Development Administration) Soohyun Cho (Rural Development Administration) Hyo Jung Kwo (Chungnam National University) Samooel Jung (Chungnam National University) Youngwon Lee (Chungnam National University) Hyeun Bum Kim (Dankook University)
저널정보
충남대학교 농업과학연구소 Korean Journal of Agricultural Science Korean Journal of Agricultural Science Vol.51 No.2
발행연도
2024.6
수록면
187 - 192 (6page)

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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.

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Abstract
Introduction
Materials and Methods
Results and Discussion
Conclusion
References

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