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Reducing the impact of sclerotinia disease by determining optimum crop rotations using dynamic programming

Author

Listed:
  • Ahmadi, Bouda Vosough
  • Burnett, Fiona J.
  • Young, Caroline S.
  • McQuilken, Mark P.
  • Stott, Alistair W.

Abstract

Sclerotinia rot is a disease caused by the fungus Sclerotinina sclerotiorum which affects a wide range of crops and causes major yield and economic losses. Crop rotation is an important strategy for minimising losses. A dynamic programming (DP) model was developed to study the trade-offs between state of the land, severity of sclerotinia and financial impacts as a result of different cropping decisions. Results showed that rotation and treatment against sclerotinia was financially justified yet permitted intensive yet sustainable production of susceptible food crops in the long-run. Allocation of even a small proportion of cropping decisions to break crops coupled with treatments in the rotation mitigated long-term build-up of sclerotia in land. However in the short-run, high proportions and high frequencies of cropping decisions need to be either allocated to break crops or treated-susceptible crops in order to avoid the disease and to generate profit. Results showed that DP methodology provides a useful framework to explore the trade-offs between crop rotation and growing high value susceptible crops in the long- and short-term in relation to plant diseases in arable agriculture that are at the heart of sustainable food production and land use.

Suggested Citation

  • Ahmadi, Bouda Vosough & Burnett, Fiona J. & Young, Caroline S. & McQuilken, Mark P. & Stott, Alistair W., 2013. "Reducing the impact of sclerotinia disease by determining optimum crop rotations using dynamic programming," 87th Annual Conference, April 8-10, 2013, Warwick University, Coventry, UK 158689, Agricultural Economics Society.
    • Handle: RePEc:ags:aesc13:158689
    DOI: 10.22004/ag.econ.158689
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    References listed on IDEAS

    as
    1. Onstad, David W. & Rabbinge, Rudy, 1985. "Dynamic programming and the computation of economic injury levels for crop disease control," Agricultural Systems, Elsevier, vol. 18(4), pages 207-226.
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