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Economic performance and comparative riskiness of different management practices for control of botrytis fruit rot in florida strawberry
Affiliation:1. University of Piemonte Orientale, Via Perrone, 18, 28100 Novara, Italy;2. National Research Council of Italy, Research Institute on Sustainable Economic Growth (CNR-IRCrES), via Real Collegio, 30, 10024 Moncalieri, Italy;1. Cooperative Research Centre for National Plant Biosecurity, Canberra, Australia;2. School of Veterinary and Biomedical Sciences, Murdoch University, Murdoch, Western Australia, Australia;3. Department of Agriculture and Food, South Perth, Western Australia, Australia;4. School of BioSciences, University of Melbourne, Victoria, Australia;5. School of Population Health, The University of Queensland, Queensland, Australia;1. East Malling Research, New Road, East Malling, Kent ME19 6BJ, UK;2. Natural Resources Institute, University of Greenwich, Central Avenue, Chatham Maritime, Kent ME4 4TB, UK;1. Lappeenranta University of Technology, Laboratory of Environmental Technology, P.O. Box 20, 53851, Lappeenranta, Finland;2. Lappeenranta University of Technology, Laboratory of Fluid Dynamics, P.O. Box 20, 53851, Lappeenranta, Finland;3. Lappeenranta University of Technology, Laboratory of Electrical Drives Technology, P.O. Box 20, 53851, Lappeenranta, Finland;1. Laboratori de Patologia, Centre de Tecnologia Postcollita (CTP), Institut Valencià D''Investigacions Agràries (IVIA), Apartat Oficial, 46113 Montcada, València, Spain;2. Decco Ibérica Post-Cosecha S.A.U., 46988 Paterna, València, Spain
Abstract:Florida strawberry farmers usually rely on weekly calendar fungicide applications to prevent yield loss from Botrytis fruit rot (BFR). The Strawberry Advisory System (SAS), which helps optimize the timing of fungicide applications, is an additional tool in the farmers' arsenal of disease control options. This study uses data from two-year production trials in Florida combined with historical strawberry prices to measure the economic performance of the Calendar and SAS-based BFR management practices under output price risk and producers' risk preferences. We use Monte Carlo simulation to model the effect of the variability in weekly output prices on farm returns. Results reveal that the traditional calendar-based system is not the least risky BFR management option as growers expected to be. SAS-based options such as SAS-Switch and SAS-Luna would be preferred by both risk-neutral and risk-averse producers and are recommended under high disease pressure conditions.
Keywords:Strawberry production  Botrytis fruit rot management  Stochastic simulation  Price risk  Florida
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