References
- Albrecht, E., J. Wegner and K. Ender. 1996. A new technique for objective evaluation of marbling in beef. Fleischwirtschaft 76:1145-1148.
- AMSA. 2001. Meat evaluation handbook. American Meat Science Association, Illinois, USA.
- Cameron, P. J., M. Zembayashi, D. K. Lunt, T. Mitsuhashi, M. Mitsumoto, S. Ozawa and S. B. Smith. 1994. Relationship between Japanese beef marbling standard and intramuscular lipid in the M. longissimus thoracis of Japanese Black and American Wagyu cattle. Meat Sci. 38:361-364. https://doi.org/10.1016/0309-1740(94)90125-2
- Cross, H. R., D. A. Gilliland, P. R. Durland and S. Seideman. 1983. Beef carcass evaluation by use of a video image analysis system. J. Anim. Sci. 57:910-917.
- Gerrard, D. E., X. Gao and J. Tan. 1996. Determining beef marbling and color scores by image processing. J. Food Sci. 61:145-148. https://doi.org/10.1111/j.1365-2621.1996.tb14745.x
- Hollo, G., E. Szucs, J. Tozser, I. Hollo and I. Repa. 2007. Application of X-ray computer tomography (CT) in cattle production. Asian-Aust. J. Anim. Sci. 20:1901-1908. https://doi.org/10.5713/ajas.2007.1901
- Irie, M. and H. J. Swatland. 1993.-Review-Fiber-optic methods and their applications to meat. Nippon Shokuhin Kogyou Gakkaishi 40:747-754. https://doi.org/10.3136/nskkk1962.40.747
- JMGA. 1988. New beef carcass grading standards. Japan Meat Grading Association, Tokyo.
- Karnuah, A. B., K. Moriya, N. Nakanishi, T. Nade, T. Mitsuhashi and Y. Sasaki. 2001. Computer image analysis for prediction of carcass composition from cross-sections of Japanese Black steers. J. Anim. Sci. 79:2851-2856.
- Kuchida, K., S. Kono, K. Konishi, L. D. Van Vleck, M. Suzuki and S. Miyoshi. 2000. Prediction of crude fat content of longissimus muscle of beef using the ratio of fat area calculated from computer image analysis: comparison of regression equations for prediction using different input devices at different stations. J. Anim. Sci. 78:799-803.
- Nade, T., A. B. Karnuah, Y. Masuda, S. Hirabara and K. Fujita. 2001. Estimation of carcass composition from the cross-section at rib-loin of Japanese Black steers by computer image analysis. Anim. Sci. J. 72:313-320.
- Okitani, A. 2002. Factors determining the palatability of meat. Jpn. J. Nutr. Diet. 60:119-129. https://doi.org/10.5264/eiyogakuzashi.60.119
- Steiner, R., A. M. Wyle, D. J. Vote, K. E. Belk, J. A. Scanga, J. W. Wise, J. D. Tatum and G. C. Smith. 2003. Real-time augmentation of USDA yield grade application to beef carcasses using video image analysis. J. Anim. Sci. 81:2239-2246.
- Tan, J. 2004. Meat quality evaluation by computer vision. J. Food Eng. 61:27-35. https://doi.org/10.1016/S0260-8774(03)00185-7
- Platter, W. J., J. D. Tatum, K. E. Belk, S. R. Koontz, P. L. Chapman and G. C. Smith. 2005. Effects of marbling and shear force on consumers' willingness to pay for beef strip loin steaks. J. Anim. Sci. 83:890-899.
- Yang, X. J., E. Albrecht, K. Ender, R. Q. Zhao and J. Wegner. 2006. Computer image analysis of intramuscular adipocytes and marbling in the longissimus muscle of cattle. J. Anim. Sci. 84:3251-3258. https://doi.org/10.2527/jas.2006-187
- Zembayashi, M., H. Nabeta and T. Mototsuji. 1988. Effects of breeds and nutritional planes on intramuscular lipid deposition of fattening of steers. Jpn. J. Zootech. Sci. 59:39-48.
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