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Incorporating Uncertainty in the Analysis of Optimal Beef-Forage Production Systems

Published online by Cambridge University Press:  08 February 2017

Richard B. Rawlins  and
Daniel J. Bernardo
Richard B. Rawlins
Affiliation:
Department of Agricultural Economics, Oklahoma State University, Stillwater, Oklahoma
Daniel J. Bernardo
Affiliation:
Department of Agricultural Economics, Oklahoma State University, Stillwater, Oklahoma
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Abstract

A risk programming model was developed to evaluate the tradeoffs between risk and expected returns in beef-forage production systems. The specification represents nutrient and intake considerations when allocating forage among cattle enterprises; it also incorporates the various sources of risk facing livestock producers. Efficient ranch organizations were derived for a representative eastern Oklahoma ranch using MOTAD and Target-MOTAD formulations. Diversification of forage enterprises, introduction of cow-calf enterprises, and retained ownership of weaned calves were identified as important responses to reductions in acceptable levels of risk. Results also indicated efficient ranch plans to be sensitive to the risk criteria and producer's willingness to accept risk.

Type
Articles
Information
Journal of Agricultural and Applied Economics , Volume 23 , Issue 1 , July 1991 , pp. 213 - 225
Copyright
Copyright © Southern Agricultural Economics Association 1991

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References

Bernardo, D.J. and McCollum, F.T.. An Economic Analysis of Intensive-Early Stocking. Oklahoma Agricultural Experiment Station Research Report No. P-887. Stillwater, Oklahoma, 1987.Google Scholar
Branson, F.A. Vegetation Changes on Western Rangelands. Range Monograph. No. 5., Soc. Range Manage., Denver, CO, 1985.Google Scholar
Brink, L. and McCarl, B.A.. “The Tradeoff Between Expected Return and Risk Among Corn-Belt Crop Farmers.” Am. J. Agr. Econ., 62(1980): 142–145.Google Scholar
Gebremeskel, Tesfaye and Richard Shumway, C.. ‘Tarm Planning and Calf Marketing Strategies for Risk Management: An Application of Linear Programming and Statistical Decision Theory.” Am. J. Agr. Econ., 61(1979):363–370.Google Scholar
Howle, D.S., Gray, A. and McMurphy, W.E.. Forage Production from Small Grain.Current Report No. CR-2091 1286, Oklahoma State University, 1986.Google Scholar
McMurphy, W.E. and Hunter, S.C.. “Small Grain Data of Seeding Forage Production Studies.” Eastern Research Station 1986 Field Day Report.Agronomy Report No. 86-2, Oklahoma State University, 1986.Google Scholar
Musser, W.M., Martin, N.R., and Wise, J.O.. “The Beef Cow Enterprise in the Georgia Piedmont: ACase Study in Conspicuous Production.” So. J. Agr. Econ., 7(1985):89–95.Google Scholar
National Academy of Science, National Research Council. Nutrient Requirements of Beef Cattle, 4th ed. Washington, DC, 1970.Google Scholar
Oklahoma Cooperative Extension Service. Crop and Livestock Enterprise Budgets. Oklahoma State University, Stillwater, Oklahoma, 1987.Google Scholar
Rockeman, K.A. and Walker, O.L.. “Range-Cropland Pasture Utilization Systems for Northwest Oklahoma Ranches.” Current Farm Economics, 52(1979):7–20.Google Scholar
Saez, R.R., Shumway, C.R., Rouquette, M., and Jones, L.L.. Profit Potential and Risks in Intensified Forage-Beef Production. Texas Agr. Exp. Sta. Res. Report, College Station, Texas, June, 1981.Google Scholar
Sims, P.L. and Singh, J.S.. “The Structure and Function of Ten Western North American Grasslands. IV. Compartmental Transfers and Energy Flow within the Ecosystem.” J. Ecol. 66(1978):983–1009.Google Scholar
Tauer, L.W. ‘Target-MOTAD.” Am. J. Agr. Econ., 65(1983):606–610.Google Scholar
Teague, P.W and Lee, J.G.. “Risk Efficient Perennial Crop Selection: A MOTAD Approach to Citrus Production.” So. J. Agr. Econ., 20(1988): 145–152.Google Scholar
United States Department of Agriculture, Agricultural Marketing Service. Livestock Detailed Quotations, Weekly. Livestock Division, Oklahoma City, Oklahoma, 1978-1987.Google Scholar
United States Department of Agriculture, National Agricultural Statistics Service. Agricultural Statistics 1989. Washington, DC, 1989.Google Scholar
United States Department of Agriculture, Soil Conservation Service. Basic Statistics: 1982 National Resources Inventory. Washington, DC, 1984.Google Scholar
Walker, O.L., Bernardo, D.J., Trapp, J.N., and Rodriguez, A.. A Survey of Wheat Pasture Utilization Systems in Oklahoma. Oklahoma Agricultural Experiment Station Research Report No. P-903. Stillwater, OK, September, 1988.Google Scholar
Walker, O.L, Lusby, K.S., and McMurphy, W.E.. Beef and Pasture Systems for Oklahoma. Oklahoma Agricultural Experiment Station Research Report No. P-888, Stillwater, OK, February, 1987.Google Scholar
Waller, M. and Waller, N.. Chemical Composition of Native Grasses in Central Oklahoma from 1947-1962. Oklahoma State University Bulletin B-697, Stillwater, OK, January, 1972.Google Scholar
Whitson, R.E., Parks, D.L., and Herd, D.B.. “Effect of Forage Quality Restrictions on Optimal Production Systems Determined by Linear Programming.” So. J.Agr. Econ., 2(1976):1–4.Google Scholar
Wise, J.O. and Saunders, F.B.. Maximizing Operators Returns on Large Commercial Farms in Beef Producing Areas of the South. Southern Cooperative Services Bulletin 217, University of Georgia, Athens, GA, 1977.Google Scholar
Wise, J.O., Schupp, A.R., and Conner, J.R.. Optimal Beef Cattle and Forage Alternatives for the South. Southern Cooperative Services Bulletin 284, Louisiana State University, Baton Rouge, LA, 1983.Google Scholar
Zimmet, D.J. and Spreen, T.A.. “A Target-MOTAD Analysis of a Crop and Livestock Farm in Jefferson Co., Florida.”So. J. Agr. Econ., 18(1986): 175–186.Google Scholar