- Volume 39 Issue 1
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Prediction of ham weight with the autofom in Korea
오토폼을 이용한 돼지 뒷다리 중량예측 연구
- Received : 2015.11.04
- Accepted : 2016.02.23
- Published : 2016.03.30
The Autofom is a equipment for predicting the amount of pig carcasses meat using the 16 ultrasonic sensors to measure in real time and it was established in Dodram LPC in Gyeonggi Province of Korea for the first time. This study was carried out to validate the reliability of Autofom statistically and to establish guideline for developing a analytic formula through comparing the measurement between Autofom and dissection. The ham parts of sixty-six pig carcasses were measured with Autofom and by two experimental performers. The weight means and standard deviations of ham parts including bone by measurements with Autofom and dissection were
Autofom;The ham parts;Positive correlation;Coefficient of determination;RESE
- Branscheid W, Dobrowolski A. 2000. Evaluation of market value: comparison between different techniques applied on pork carcasses. Arch Tierz 43: 131-138.
- Brondum J, Arner J, Christian LL. 1999. Prediction of Loin Muscle Area with the Autofom. http://lib.dr.iastate.edu/swinereports_1998/62/
- Brondum J, Egebo M, Agerskov C, Busk H. 1998. On-line pork carcass grading with the Autofom ultrasound system. J Anim Sci 76: 1859-1868. https://doi.org/10.2527/1998.7671859x
- Busk H, Olsen E, Brondum J. 1999. Determination of lean meat in pig carcasses with the Autofom classification system. Meat Science 52: 307-314. https://doi.org/10.1016/S0309-1740(99)00007-8
- Carometec. Carcass Quantification. 2015. http://www.ampc.com.au/site/assets/media/Users/Presentation/IMAC/pdf/8.-Carcass-Quantefication-Carometec_Imac.pdf.
- Collewet G, Bogner P, Allen P, Busk H, Dobrowolski A, Olsen E, Davenel A. 2005. Determination of the lean meat percentage of pig carcasses using magnetic resonance imaging. Meat Science 70: 563-572. https://doi.org/10.1016/j.meatsci.2005.02.005
- Fortin A, Tong AKW, Robertson WM. 2004. Evaluation of three ultrasound instruments, CVT-2, UltraFom 300 and Auto-Fom for predicting salable meat yield and weight of lean in the primals of pork carcasses. Meat Science 68: 537-549. https://doi.org/10.1016/j.meatsci.2004.05.006
- Font i Furnols M, Gispert M. 2009. Comparison of different devices for predicting the lean meat percentage of pig carcasses. Meat Science 83: 443-446. https://doi.org/10.1016/j.meatsci.2009.06.018
- 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. Chemom Intell Lab Syst 98: 31-37. https://doi.org/10.1016/j.chemolab.2009.04.009
- Judas M, Horeth R, Branscheid W. 2007. Computed tomography as a method to analyse the tissue composition of pig carcases. Fleischwirtschaft International 1: 56-59.
- Kim TS. 2012. A study on international comparison for trade and consumption of pork. KREI NHERI report 172: 1-22.
- KLEI. 2009. A study on the development of Livestock carcass grading system. pp. 2-12.
- 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
- Pathak V, Singh VP, Sanjay Y. 2011. Ultrasound as a modern tool for carcass evaluation and meat processing: A review. Int J Meat Sci 1: 83-92. https://doi.org/10.3923/ijmeat.2011.83.92
- Pomar C, Marcoux M. 2010. Pork carcass classification and grading in Canada. http://www.cmc-cvc.com/sites/default/files/files/1_%20CPomar%20-%20Pork%20carcass%20evaluation%20and%20grading-2.pdf.
- Picouet PA, Teran F, Gispert M, Font i Furnols M. 2010. Lean content prediction in pig carcasses, loin and ham by computed tomography (CT) using a density model. Meat Science 86: 616-622. https://doi.org/10.1016/j.meatsci.2010.04.039
- 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
- Scholz AM, Bunger L, Kongsro J, Baulain U, Mitchell AD. 2015. Non-invasive methods for the determination of body and carcass composition in livestock: dual-energy X-ray absorptiometry, computed tomography, magnetic resonance imaging and ultrasound: invited review. Animal 9: 1250-1264. https://doi.org/10.1017/S1751731115000336
- Young MJ, Simm G, Glasbey CA. 2001. Computerised tomography for carcass analysis. In Proceedings of the British Society of Animal Science 62: 255-263.