Acknowledgement
This work was carried out with the support of "Cooperative Research Program for Agriculture Science and Technology Development (Project No. PJ0162112023, RS-2021-RD010001)" Rural Development Administration, Republic of Korea.
References
- Bae JG, Lee YK, Park BY, Lym HS, Jung BS. 2016. Prediction of ham weight with the autofom in Korea. Korean Journal of Veterinary Service 39:7-12. [in Korean] https://doi.org/10.7853/kjvs.2016.39.1.7
- Bunger L, Macfarlane JM, Lambe NR, Conington J, McLean KA, Moore K, Glasbey CA, Simm G. 2011. Use of X-ray computed tomography (CT) in UK sheep production and breeding. CT Scanning-Techniques and Applications edited by Karuppasamy S. pp. 329-348. IntechOpen Limited, London, UK.
- Dobrowolski A, Branscheid W, Romvari R, Horn P, Allen P. 2004. X-ray computed tomography as possible reference for the pig carcass evaluation. Fleischwirtschaft 84:109-112.
- Duzinski K, Knecht D, Lisiak D, Janiszewski P. 2015. Factors affecting the tissues composition of pork belly. Animal 9:1897-1903. https://doi.org/10.1017/S1751731115001433
- Font-i-Furnols M, Teran MF, Gispert M. 2009. Estimation of lean meat content in pig carcasses using X-ray computed tomography and PLS regression. Chemometrics and Intelligent Laboratory Systems 98:31-37. https://doi.org/10.1016/j.chemolab.2009.04.009
- Horn P, Kover Gy, Repa I, Berenyi E, Kovach G. 1997. The use of spiral CAT for volumetric estimation of body composition of pigs. Archiv fuer Tierzucht 40:445-450.
- KLEI (Korea Livestock Economic Institute). 2009. A study on the development of Livestock carcass grading system. pp. 2-12. KLEI, Seoul, Korea. [in Korean]
- Lee EA, Kang JH, Cheong JH, Koh KC, Jeon WM, Choe JH, Hong KC, Kim JM. 2018. Evaluation of whole pork belly qualitative and quantitative properties using selective belly muscle parameters. Meat Science 137:92-97. https://doi.org/10.1016/j.meatsci.2017.11.012
- Lee SH, Lee SH, Park HB, Kim JM. 2023. Estimation of genetic parameters for pork belly traits. Animal Bioscience 36:1156-1166. https://doi.org/10.5713/ab.22.0391
- Lucas D, Brun A, Gispert M, Carabus A, Soler J, Tibau J, Font-i-Furnols M. 2017. Relationship between pig carcass characteristics measured in live pigs or carcasses with Piglog, Fat-o-Meat'er and computed tomography. Livestock Science 197:88-95. https://doi.org/10.1016/j.livsci.2017.01.010
- Monziols M, Collewet G, Bonneau M, Mariette F, Davenel A, Kouba M. 2006. Quantification of muscle, subcutaneous fat and intermuscular fat in pig carcasses and cuts by magnetic resonance imaging. Meat Science 72:146-154. https://doi.org/10.1016/j.meatsci.2005.06.018
- Prieto N, Roehe R, Lavin P, Batten G, Andres S. 2009. Application of near infrared reflectance spectroscopy to predict meat and meat products quality: A review. Meat Science 83:175-186. https://doi.org/10.1016/j.meatsci.2009.04.016
- Romvari R, Dobrowolski A, Repa I, Allen P, Olsen E, Szabo A, Horn P. 2006. Development of a computed tomographic calibration method for the determination of lean meat content in pig carcasses. Acta Veterinaria Hungarica 54:1-10. https://doi.org/10.1556/avet.54.2006.1.1
- Sammak B, El Bagi MA, Al Shahed M, Hamilton D, Al Nabulsi J, Youssef B, Al Thagafi M. 1999. Osteomyelitis: A review of currently used imaging techniques. European Radiology 9:894-900. https://doi.org/10.1007/s003300050763
- Trusell KA, Apple JK, Yancey JWS, Johnson TM, Galloway DL, Stackhouse RJ. 2011. Compositional and instrumental firmness variations within fresh pork bellies. Meat Science 88:472-480. https://doi.org/10.1016/j.meatsci.2011.01.029
- Wu X, Liang X, Wang Y, Wu B, Sun J. 2022. Non-destructive techniques for the analysis and evaluation of meat quality and safety: A review. Foods 11:3713.
- Xiong Z, Sun DW, Pu H, Gao W, Dai Q. 2017. Applications of emerging imaging techniques for meat quality and safety detection and evaluation: A review. Critical Reviews in Food Science and Nutrition 57:755-768. https://doi.org/10.1080/10408398.2014.954282