Effects of estimation accuracy on potential payment premiums for superior beef carcasses

New Zealand Journal of Agricultural Research

Volumn 42, Issue 3, 1999, Pages 305-314

  Purchas, R W ^a   Garrick, D J ^b   Lopez Villalobos, N ^b  

^a MASSEY UNIVERSITY   (New Zealand)

^b MASSEY UNIVERSITY   (New Zealand)

Author keywords

Carcass classification; Saleable meat yield; Simulation model

Indexed keywords

EID: 0032699263     PISSN: 00288233     EISSN: 11758775     Source Type: Journal    
DOI: 10.1080/00288233.1999.9513380     Document Type: Article

References (13)

1. Anon. 1996. New Zealand meat:Guide to beef carcass classification, Wellington:New Zealand Meat Producers Board.
2. Borggaard, C., Madsen, N. T., and Thodberg, H. H., 1996. In-line image analysis in the slaughter industry, illustrated by beef carcass classification. Meat Science, 43:S151–S163.
3. Cornbleet, P. J., and Gochman, N., 1979. Incorrect least-squares regression coefficients in method-comparison analysis. Clinical Chemistry, 25:432–438.
4. Dikeman, M. E., Cundiff, L. V., Gregory, K. E., Kemp, K. E., and Koch, R. M., Variation in and effects of prefabrication fat trimming on yields and prediction equation accuracies of retail product and fat trim. Kansas State University 1996 Cattleman's Day Proceedings. pp.17–21.
5. Ferguson, D. M., Thompson, J. M., Barrett-Lennard, D., and Sorensen, B., Prediction of beef carcass yield using whole carcass VIAScan®. Proceedings of the 41st International Congress of Meat Science and Technology. pp.183–184.
6. Feuz, D. M., Fausti, S. W., and Wagner, J. J., 1993. Analysis of the efficiency of four marketing methods for slaughter cattle. Agribusiness, 9:453–463.
7. Gill, J. L., 1987. Biases in regression when prediction is inverse to causation. Journal of Animal Science, 64:594–600.
8. Jones, S. D. M., Richmond, R. J., and Robertson, W. M., 1995. Meat grading; instrument beef grading. Meat Focus International, 4:59–62.
9. Kempster, A. J., Cuthbertson, A., and Harrington, G., 1982. Carcass evaluation in livestock breeding, production and marketing London, Granada
10. Kirton, A. H., Bass, J. J., Hogg, B. W., Mercer, G. J. K., Duganzich, D. M., and Woods, E. G., Predicting beef carcass yield from the weights of selected cuts. Proceedings of the 28th Meat Industry Research Conference (Auckland). pp.249–254.
11. Morgan Jones, S. D., ed. 1995. Quality and grading of carcasses of meat animals, Boca Raton:CRC Press.
12. Perry, D., Yeates, A. P., and McKiernan, W. A., 1993. Meat yield and subjective muscle scores in medium weight steers. Australian Journal of Experimental Agriculture, 33:825–831.
13. Wood, J. D., Newman, P. B., Miles, C. A., and Fisher, A. V., Video image analysis:Comparisons with other novel techniques for carcass assessment. Proceedings of the Symposium Electronic Evaluation of Meat in Support of Value-Based Marketing. pp.145–172. West Lafayette:Purdue University.