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Production Inefficiency in Fed Cattle Marketing and the Value of Sorting Pens into Alternative Marketing Groups Using Ultrasound Technology

Published online by Cambridge University Press:  26 January 2015

Stephen R. Koontz
Affiliation:
Department of Agricultural and Resource Economics, Colorado State University, Fort Collins, CO
Dana L. Hoag
Affiliation:
Department of Agricultural and Resource Economics, Colorado State University, Fort Collins, CO
John R. Brethour
Affiliation:
Department of Animal Science and Industry, Kansas State University, Hayes Agricultural Research Center, Hayes, KS
Jodine Walker
Affiliation:
Department of Agricultural and Resource Economics, Colorado State University, Fort Collins, CO

Abstract

The cattle industry batch markets animals in pens. Because of this, animals within any one pen can be both underfed and overfed. Thus, there is a production inefficiency associated with batch marketing. We simulate the value of sorting animals through weight and ultrasound measurements from original pens into smaller alternative marketing groups. Sorting exploits the production inefficiency and enables cattle feeding enterprises to avoid meat quality discounts, capture premiums, more efficiently use feed resources, and increase returns. The value of sorting is between $15 and $25 per head, with declining marginal returns as the number of sort groups increases.

Type
Research Article
Copyright
Copyright © Southern Agricultural Economics Association 2008

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References

Boleman, S.L., Boleman, S.J., Morgan, W.W., Hale, D.S., Griffin, D.B., Savell, J.W., Ames, R.P., Smith, M.T., Tatum, J.D., Field, T.G., Smith, G.C., Gardner, B.A., Morgan, J.B., Northcutt, S.L., Dolezal, H.G., Gill, D.R., and Ray, F.K.National Beef Quality Audit—1995: Survey of Producer-Related Defects and Carcass Quality and Quantity Attributes.Journal of Animal Science 76(January 1998):96103.Google Scholar
Brethour, J.R. Using Ultrasound Technology to Increase Cattle Feeding Profits. Manhattan, KS: Kansas State University, Kansas Agricultural Experiment State Report of Progress No. 570, 1989.Google Scholar
Brethour, J.R. Estimating Quality Grade in Cattle with Ultrasound. Manhattan, KS: Kansas State University, Kansas Agricultural Experiment State Report of Progress No. 627, 1991.Google Scholar
Brethour, J.R.The Repeatability and Accuracy of Ultrasound in Measuring Backfat in Cattle.Journal of Animal Science 70(April 1992): 1039-44.Google Scholar
Brethour, J.R.Estimating Marbling Score in Live Cattle from Ultrasound Images Using Pattern Recognition and Neural Network Procedures.Journal of Animal Science 72(June 1994): 1425-32.Google Scholar
Brethour, J.R. Tracking Marbling Development in Feedlot Steers. Manhattan, KS: Kansas State University, Kansas Agricultural Experiment State Report of Progress No. 731, 1995.Google Scholar
Brethour, J.R.Using Serial Ultrasound Measures to Generate Models of Marbling and Backfat Thickness Changes in Feedlot Cattle.Journal of Animal Science 78(August 2000):2055-61.CrossRefGoogle ScholarPubMed
Cattle Fax. Alternative Marketing Programs. Engle-wood, CO: Cattle Fax, January 1997.Google Scholar
Cross, H.R., and Savell, J.W.What Do We Need for a Value-Based Beef Marketing System?Meat Science 36(1994): 1927.Google Scholar
Cross, H.R., and Whittaker, A.D.The Role of Instrument Grading in a Beef Valued-Based Marketing System.Journal of Animal Science 70(March 1992):984-9.CrossRefGoogle Scholar
DeVuyst, E.A., Bullinger, J.R., Bauer, M.L., Berg, P.T., and Larson, D.M.An Economic Analysis of Genetic Information: Leptin Genotyping in Fed Cattle.Journal of Agricultural and Resource Economics 32(August 2007):291305.Google Scholar
Doherty, R.L., Field, T.G., Tatum, J.D., Belk, K.E., and Smith, G.C. Developing Benchmarks to Familiarize Cattle Producers with the Benefits and Risks Associated with Grid Pricing: Final Report. Fort Collins, CO: Colorado State University, Department of Animal Science, May 1998.Google Scholar
Faulkner, D.B., Parret, D.F., McKeith, F.K., and Berger, L.L.Prediction of Fat Cover and Carcass Composition from Live and Carcass Measurements.Journal of Animal Science 68(March 1990):604-10.Google Scholar
Fausti, S.W., and Feuz, D.M.Production Uncertainty and Factor Price Disparity in the Slaughter Cattle Market: Theory and Evidence.American Journal of Agricultural Economics 77(August 1995):533-45.CrossRefGoogle Scholar
Fausti, S.W., Feuz, D.M., and Wagner, J.J.Value Based Marketing of Fed Cattle: A Discussion of the Issues.” International Food and Agribusiness Management Review 1(1998):7390.Google Scholar
Fausti, S.W., and Qasmi, B.A.Does the Producer Have an Incentive to Sell Fed Cattle on a Grid?International Food and Agribusiness Management Review 5(2002):2339.Google Scholar
Feuz, D.M.Market Signals in Value-Based Pricing Premiums and Discounts.Journal of Agricultural and Resource Economics 24(August 1999):327-41.Google Scholar
Feuz, D.M., Fausti, S.W., and Wagner, J.J.Analysis of the Efficiency of Four Marketing Methods for Slaughter Cattle.Agribusiness: An International Journal 9(September 1993): 453-63.Google Scholar
Feuz, D.M., Fausti, S.W., and Wagner, J.J.Risk and Market Behavior in the U.S. Slaughter Cattle Market.Journal of Agricultural and Resource Economics 20(April 1995): 2231.Google Scholar
Houghton, P.L., and Turlington, L.M.Application of Ultrasound for Feeding and Finishing Animals: A Review.Journal of Animal Science 70(March 1992):930-41.CrossRefGoogle ScholarPubMed
Johnson, H.C., and Ward, C.E.Market Signals Transmitted by Grid Pricing.Journal of Agricultural and Resource Economics 30(December 2005):561-79.Google Scholar
Johnson, H.C., and Ward, C.E.Impact of Beef Quality on Market Signals Transmitted by Grid Pricing.Journal of Agricultural and Applied Economics 38(April 2006):7790.CrossRefGoogle Scholar
Lusk, J.L., Little., R., Williams., A., Anderson., J., and McKinley, B.Utilizing Ultrasound Technology to Improve Livestock Marketing Decisions.Review of Agricultural Economics 25(June 2003):203-17.Google Scholar
MacDonald, R.A., and Schroeder, T.C.Fed Cattle Profit Determinants under Grid Pricing.Journal of Agricultural and Applied Economics 35(April 2003):97103.Google Scholar
McKenna, D.R., Roeber, D.L., Bates, P.K., Schmidt, T.B., Hale, D.S., Griffin, D.B., Savell, J.W., Brooks, J.C., Morgan, J.B., Montgomery, T.H., Belk, K.E., and Smith, G.C.National Beef Quality Audit—2000: Survey of Targeted Cattle and Carcass Characteristics Related to Quality, Quantity, and Value of Fed Steers and Heifer.Journal of Animal Science 80(May 2002):1212-22.Google Scholar
National Cattlemen's Beef Association. The War on Fat. Englewood, CO: Value Based Marketing Task Force, August 1990.Google Scholar
National Research Council. Nutrient Requirements of Beef Cattle. Washington D.C.: National Academy Press, 2000.Google Scholar
Perkins, T.L., Green, R.D., and Hamlin, K.E.Evaluation of Ultrasonic Estimate of Carcass Fat Thickness and Longjssimus Muscle Area in Beef Cattle.Journal of Animal Science 70(April 1992): 1002-10.Google Scholar
Purcell, W.D. A Primer on Beef Demand. Blacks-burg, VA: Virginia Tech, Research Institute on Livestock Pricing Research Bulletin 2-98, April 1998.Google Scholar
Purcell, W.D. Measures of Changes in Demand for Beef, Pork, and Chicken, 1975-2000. Blacksburg, VA: Virginia Tech, Research Institute on Livestock Pricing Research Bulletin 4-2000, December 2000.Google Scholar
Schroeder, T.C., and Graff, J.L.Estimated Value of Increased Pricing Accuracy for Fed Cattle.Review of Agricultural Economics 22(Spring 2000):89101.Google Scholar
Schroeder, T.C., Mintert., J., and Brester, G.W.Positioning the Beef Industry for the Future.” Manhattan, KS: Cooperative Extension Service, Kansas State University, Department of Agricultural Economics, MF-2123, May 1995.Google Scholar
Schroeder, T.C., Ward, C.E., Mintert, J.R., and Peel, D.S.Value-Based Pricing of Fed Cattle: Challenges and Research Agenda.Review of Agricultural Economics 20(Spring/Summer 1998): 125-34.Google Scholar
Smith, G.C., Savell, J.W., Dolezal, H.G., Field, T.G., Gill, D.R., Griffin, D.B., Hale, D.S., Morgan, J.B., Northcutt, S.L., and Tatum, J.D. Improving the Quality, Consistency, Competitiveness and Market-Share of Beef: Executive Summary. National Beef Quality Audit. Colorado State University, Oklahoma State University, and Texas A&M University, December 1995.Google Scholar
Smith, M.T., Oltjen, J.W., Dolezal, H.G., Gill, D.R., and Behrens, B.D.Evaluation of Ultrasound for Prediction of Carcass Fat Thickness and Longis-simus Muscle Area in Feedlot Steers.Journal of Animal Science 70(January 1992):2937.Google Scholar
United States Department of Agriculture. Cattle on Feed Report. Washington, DC: National Agri cultural Statistics Service, February issue various years.Google Scholar
Walburger, A.M., and Crews, D.H.Improving Market Selection for Fed Beef Cattle: The Value of Real-Time Ultrasound and Relations Data.Canadian Journal of Agricultural Economics 52(March 2004): 116.CrossRefGoogle Scholar
Ward, C.E., Feuz, D.M., and Schroeder, T.C. Formula Pricing and Grid Pricing Fed Cattle: Implications for Price Discovery and Variability. Blacksburg, VA: Virginia Tech, Research Institute on Livestock Pricing Research Bulletin 199, January 1999.Google Scholar
Whittaker, A.D., Park., B., Thane, B.R., Miller, R.K., and Savell, J.W.Principles of Ultrasound and Measurement of Intramuscular Fat.Journal of Animal Science 70(March 1992):942-52.Google Scholar