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Biophysical Simulation in Support of Crop Production Decisions: A Case Study in the Black-lands Region of Texas

  • Carl R. Dillon (a1), James W. Mjelde (a1) and Bruce A. McCarl (a1)

Abstract

Economic feasibility of Texas Blacklands corn production in relation to sorghum, wheat, and cotton is studied. Biophysical simulation generated yield data are integrated with an economic decision model using quadratic programming. Given the various scenarios analyzed, corn is economically feasible for the Blacklands. A crop mix of half corn and half cotton production is selected under risk neutrality with wheat entering if risk aversion is present. Corn and grain sorghum production are highly substitutable. Profit effects attributed to changing corn planting dates are more pronounced than profit changes resulting from altering corn population or maturity class.

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Acharya, B.P., Hayes, J.C., and Brown, L.C.. “Available Working Days in the Mid-South.” Paper presented at the Amer. Soc. Agr. Eng. meeting, Chicago, Illinois, 1983.
Ahmed, J., van Bavel, C.H.M., and Hiler, E.A.. “Optimization of Crop Irrigation Strategy under a Stochastic Weather Regime: A Simulation Study.Water Resour. Res., 12, 6(1976):12411247.
Apland, J., McCarl, B.A., and Miller, W.. “Risk and the Demand for Supplemental Irrigation: A Case Study in the Corn Belt.Amer. J. Agr. Econ., 62:1(1980):142145.
Arkin, G.F., Vanderlip, R.L., and Ritchie, J.T.. “A Dynamic Grain Sorghum Growth Model.Transactions Amer. Soc. Agr. Eng., 19(1976):622-26,630.
Babeir, A.S., Colvin, T.S., and Marley, S.J., “Predicting Field Tractability with a Simulation Model.” Paper presented at the Amer. Soc. Agr. Eng. meeting, East Lansing, Michigan, 1985.
Baier, W.Crop-Weather Analysis Model: Review and Model Development.J. Appl. Meteorology, 12(M73):937947.
Bernardo, D.J., Whittlesey, N.K., Saxton, K.E., and Bassett, D.L.. “An Irrigation Model for Management of Limited Water Supplies.West. J. Agr. Econ., 12(1987):164173.
Boggess, W.G.Discussion: Use of Biophysical Simulation in Production Economics.So. J. Agr. Econ., 16, 1(1984):8789.
Boggess, W.G., and Amerling, C.B.. “A Bioeconomic Simulation Analysis of Irrigation Investments.So. J. Agr. Econ., 15, 1(1983):8592.
Boggess, W.G., Lynne, G.D., Jones, J.W., and Swaney, D.P.. “Risk Return Assessment of Irrigation Decisions in Humid Regions.So. J. Agr. Econ., 15, 1(1983):3544.
Coffman, C. G. Agronomist-Corn and Sorghum Specialist, Texas Agricultural Extension Service. Personal Communication. 1987.
Cothren, J.T. Associate Professor, Department of Soil and Crop Sciences, Texas A&M University. Personal Communication. 1987.
Dillon, C.R.An Economic Study of Tactical Crop Production Decisions in the Blacklands: The Melding of Biophysical Simulation and Economic Decision Models.” Master's Thesis, Texas A&M University, 1987.
Dillon, C.R., Mjelde, J. W., McCarl, B.A., Cothren, J.T., Martin, J.R., Rister, M.E., and Stockle, C.. “Blacklands Corn Production: A Study of Economic Feasibility.” Texas Agricultural Experiment Station Publication Draft Paper, 1988.
Elliott, R.L., Lembke, W.D., and Hunt, D.R.. “A Simulation Model for Predicting Available Days for Soil Tillage.Transactions Amer. Soc. Agri. Eng., 20(1981):288-91, 295.
El-Nazer, T., and McCarl, B.A.. “The Choice of Crop Rotation: A Modeling Approach and Case Study.Amer. J. Agr. Econ., 68(1986):127136.
Harris, T.R., and Mapp, H.P. Jr. “A Control Theory Approach to Optimal Irrigation Scheduling in the Oklahoma Panhandle.So. J. Agr. Econ., 12, 1(1980):165172.
Jackson, B.S., Arkin, G.F., and Hearn, A.B.. “The Cotton Simulation Model ‘COTTAM’: Fruiting Model Calibration and Testing.Transactions Amer. Soc. Agr. Eng., 31(1988):846854.
Larsen, G.A. Sensitivity Analysis of the Texas A&M Wheat (TAMW) Model. USDA Statistical Reporting Service, AGES 830712. August 1983.
Maas, S.J., and Arkin, G.F.. “Sensitivity Analysis of SORGF, A Grain Sorghum Model.Transactions Amer. Soc. Agr. Eng., 28(1980a):671675.
Maas, S.J., and Arkin, G.F.. TAMW: A Wheat Growth and Development Simulation Model. Texas Agricultural Experiment Station, Program and Model Documentation No. 80-3. October 1980b.
Maas, S.J., and Arkin, G.F.. User's Guide to SORGF: A Dynamic Grain Sorghum Growth Model With Feedback Capacity. Texas Agricultural Experiment Station, Program and Model Documentation No. 78-1. January 1978.
McCarl, B.A., and Bessler, D.. “When the Applicable Utility Function Is Unknown What Is a Good Upper Bound on the Pratt Risk Aversion Coefficient?” Aust. J. of.Agr. Econ., Forthcoming 1988.
Metzer, R.B. Agronomist-Cotton Specialist, Texas Agricultural Extension Service. Personal Communication. 1987.
Miller, F.R. Professor, Department of Soil and Crop Sciences, Texas A&M University. Personal Communication. 1987.
Miller, T.D. Agronomist-Small Grains Specialist, Texas Agricultural Extension Service. Personal Communication. 1987.
Mjelde, J.W., Sonka, S.T., Dixon, B.L., and Lamb, P.J.. “Valuing Forecast Characteristics in a Dynamic Agricultural Production System.Amer. J. Agr. Econ., 70(1988):674684.
Morrison, J.E., Gerik, T.J., Chichester, F.W., and Martin, J.R.. “No-tillage Farming System Technologies, Procedures, Performance, and Economics for High-clay Soils.” Draft Paper, USDA and Texas Agricultural Experiment Station, 1988.
Musser, W.N., and Tew, B.V.. “Use of Biophysical Simulation in Production Economics.So. J. Agr. Econ., 16, 1(1984):7786.
Parker, M.R., Rister, M.E., Teague, P.W., and Mjelde, J.W.. An Economic Decision Framework for Central Texas Corn Production. Department of Agricultural Economics, Texas A&M University (DIR 86-1 SP-2). April 1986.
Reichelderfer, K.H., and Bender, F.E.. “Application of a Simulative Approach to Evaluating Alternative Methods for the Control of Agricultural Pests.Amer. J. Agr. Econ., 61(1979):258267.
Rosenthal, W. Research Scientist, Texas Agricultural Experiment Station, Blackland Research Center. Personal Communication. 1987.
Stapper, M., and Arkin, G.F.. CORNF: A Dynamic Growth and Development Model for Maize (Zea mays L.). Texas Agricultural Experiment Station, Program and Model Documentation No. 80-2. December 1980.
Vanderlip, R.C., and Arkin, G.F.. “Simulating Accumulation and Distribution of Dry Matter in Grain Sorghum.Agronomy J., 69(1977):917923.
Whitson, R.E., Kay, R.D. Pori, W.A. Le, and Rister, M.E.. “Machinery and Crop Selection with Weather Risk.Transactions Amer. Soc. Agr. Eng., 24(1981):288-91, 295.

Keywords

Biophysical Simulation in Support of Crop Production Decisions: A Case Study in the Black-lands Region of Texas

  • Carl R. Dillon (a1), James W. Mjelde (a1) and Bruce A. McCarl (a1)

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