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

dc.creatorVosough Ahmadi, Bouda
dc.creatorBurnett, Fiona J.
dc.creatorYoung, Caroline S.
dc.creatorMcQuilken, Mark P.
dc.creatorStott, Alistair W.
dc.date2017-04-01T17:54:41Z
dc.date.accessioned2026-07-09T07:14:15Z
dc.descriptionSclerotinia 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.
dc.identifierdoi:10.22004/ag.econ.152213
dc.identifierhttps://ageconsearch.umn.edu/record/152213/files/leergworkingpaper75C.pdf
dc.identifierhttp://ageconsearch.umn.edu/record/152213
dc.identifier.urihttp://hdl.handle.net/123456789/586027
dc.languageeng
dc.publisher
dc.sourcehttp://ageconsearch.umn.edu/record/152213
dc.titleReducing the impact of Sclerotinia disease by determining optimum crop rotations using dynamic programming
dc.typeText

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