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Near-Optimal Management Strategies for Controlling Wild Oats in Spring Wheat


  • C. Robert Taylor
  • Oscar R. Burt


Near-optimal multiperiod decision rules for controlling wild oats in spring wheat in north central Montana are presented in this paper. Decision alternatives are fallow, use of a preemergent or postemergent herbicide, and crop without use of a herbicide. The near-optimal decision rules, which were obtained from a partially decomposed stochastic dynamic programming model, depend on density of wild oats seed in the plow layer, whether the land was previously cropped or fallow, soil moisture level, price of spring wheat, and post-planting density of wild oats.

Suggested Citation

  • C. Robert Taylor & Oscar R. Burt, 1984. "Near-Optimal Management Strategies for Controlling Wild Oats in Spring Wheat," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 66(1), pages 50-60.
  • Handle: RePEc:oup:ajagec:v:66:y:1984:i:1:p:50-60.

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    Cited by:

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    2. Timothy J. Lowe & Paul V. Preckel, 2004. "Decision Technologies for Agribusiness Problems: A Brief Review of Selected Literature and a Call for Research," Manufacturing & Service Operations Management, INFORMS, vol. 6(3), pages 201-208.
    3. Pannell, David J, 1989. "A Model of Wheat Yield Response to Application of Diclofop-Methyl to Control Ryegrass (Lolium Rigidum)," Discussion Papers 232314, University of Western Australia, School of Agricultural and Resource Economics.
    4. J. Pannell, David, 1991. "Pests and pesticides, risk and risk aversion," Agricultural Economics, Blackwell, vol. 5(4), pages 361-383, August.
    5. Swinton, Scott M. & Day, Esther, 2000. "Economics In The Design, Assessment, Adoption, And Policy Analysis Of I.P.M," Staff Paper Series 11789, Michigan State University, Department of Agricultural, Food, and Resource Economics.
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    7. Gorddard, Russell J. & Pannell, David J. & Hertzler, Greg, 1995. "An Optimal Control Model For Integrated Weed Management Under Herbicide Resistance," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 39(1), pages 1-17, April.
    8. Alessandro Pinto & Gerald C. Nelson, 2009. "Land Use Change with Spatially Explicit Data: A Dynamic Approach," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 43(2), pages 209-229, June.
    9. D. J. Pannell, 1990. "Responses To Risk In Weed Control Decisions Under Expected Profit Maximisation," Journal of Agricultural Economics, Wiley Blackwell, vol. 41(3), pages 391-401, September.
    10. JunJie Wu, 2000. "Optimal weed control under static and dynamic decision rules," Agricultural Economics, International Association of Agricultural Economists, vol. 25(1), pages 119-130, June.
    11. Morteza Chalak & David J. Pannell, 2015. "Optimal Integrated Strategies to Control an Invasive Weed," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 63(3), pages 381-407, September.
    12. Wu, JunJie, 2001. "Optimal weed control under static and dynamic decision rules," Agricultural Economics, Blackwell, vol. 25(1), pages 119-130, June.
    13. Wallinga, Jacco, 1998. "Analysis of the rational long-term herbicide use: Evidence for herbicide efficacy and critical weed kill rate as key factors," Agricultural Systems, Elsevier, vol. 56(3), pages 323-340, March.
    14. Onur Boyabatlı & Javad Nasiry & Yangfang (Helen) Zhou, 2019. "Crop Planning in Sustainable Agriculture: Dynamic Farmland Allocation in the Presence of Crop Rotation Benefits," Management Science, INFORMS, vol. 67(5), pages 2060-2076, May.
    15. Chalak, Morteza & Pannell, David J., 2012. "Optimising control of an agricultural weed in sheep-production pastures," Agricultural Systems, Elsevier, vol. 109(C), pages 1-8.
    16. Zull, Andrew F. & Cacho, Oscar J. & Lawes, Roger A., 2009. "Optimising woody-weed control," 2009 Conference (53rd), February 11-13, 2009, Cairns, Australia 47620, Australian Agricultural and Resource Economics Society.
    17. de Buck, A. J. & Schoorlemmer, H. B. & Wossink, G. A. A. & Janssens, S. R. M., 1999. "Risks of post-emergence weed control strategies in sugar beet: development and application of a bio-economic model," Agricultural Systems, Elsevier, vol. 59(3), pages 283-299, March.

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