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A Mathematical Programming Model for Vegetable Rotations

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  • Musser, Wesley N.
  • Alexander, Vickie J.
  • Tew, Bernard V.
  • Smittle, Doyle A.

Abstract

Rotations have historically been used to alleviate pest problems in crop production. This paper considers methods of modeling rotations in linear programming models for Southeastern vegetable production. In such models, entering each possible crop rotation as a separate activity can be burdensome because of the large numbers of possible rotational alternatives. Conventional methodology for double crop rotations reduces the number of activities but must be adapted to accommodate triple crop rotational requirements in vegetable production. This paper demonstrates these methods both for a simple example and an empirical problem with numerous rotation alternatives. While the methods presented in this paper may have computational disadvantages compared to entering each rotation as a separate activity, they do have advantages in model design and data management.

Suggested Citation

  • Musser, Wesley N. & Alexander, Vickie J. & Tew, Bernard V. & Smittle, Doyle A., 1985. "A Mathematical Programming Model for Vegetable Rotations," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 17(1), pages 169-176, July.
    • Handle: RePEc:cup:jagaec:v:17:y:1985:i:01:p:169-176_01
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    References listed on IDEAS

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    1. Laughlin, David H., 1984. "A Microcomputer Linear Programming Package: An Alternative to Mainframes," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 16(1), pages 183-186, July.
    2. Bruce A. McCarl & Wilfred V. Candler & D. Howard Doster & Paul R. Robbins, 1977. "Experiences With Farmer Oriented Linear Programming For Crop Planning," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 25(1), pages 17-30, February.
    3. Laughlin, David H., 1984. "A Microcomputer Linear Programming Package: An Alternative To Mainframes," Southern Journal of Agricultural Economics, Southern Agricultural Economics Association, vol. 16(1), pages 1-4, July.
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    Cited by:

    1. Stigler, Matthieu M., 2018. "Supply response at the field-level: disentangling area and yield effects," 2018 Annual Meeting, August 5-7, Washington, D.C. 274343, Agricultural and Applied Economics Association.
    2. Gebremedhin, Berhanu & Schwab, Gerald, 1998. "The Economic Importance Of Crop Rotation Systems: Evidence From The Literature," Staff Paper Series 11690, Michigan State University, Department of Agricultural, Food, and Resource Economics.
    3. Perry, Gregory M. & Rister, M. Edward & Richardson, James W. & Grant, Warren R., 1986. "Analyzing Tenure Arrangements and Crop Rotations Using Farm Simulation and Probit Analysis," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 18(2), pages 165-174, December.
    4. McCarl, Bruce A., 1986. "Innovations In Programming Techniques For Risk Analysis," Regional Research Projects > 1986: S-180 Annual Meeting, March 23-26, 1986, Tampa, Florida 271825, Regional Research Projects > S-180: An Economic Analysis of Risk Management Strategies for Agricultural Production Firms.
    5. Zwingli, Michael E. & Hardy, William E., Jr. & Adrian, John L., Jr., 1989. "Reduced Risk Rotations For Fresh Vegetable Crops: An Analysis For The Sand Mountain And Tennessee Valley Regions Of Alabama," Southern Journal of Agricultural Economics, Southern Agricultural Economics Association, vol. 21(2), pages 1-11, December.

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