1. The Potential for Decision Support Tools to Improve the Management of Root-Feeding Fly Pests of Vegetables in Western Europe
- Author
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Martin Hommes, Dominique Mazzi, Michael Gaffney, Tor J. Johansen, Richard Meadow, Quentin Schorpp, Annette Schjøll, Nicolai V. Meyling, Gunda Thöming, Rosemary Collier, Ute Vogler, Anne-Marie Cortesero, University of Warwick [Coventry], Agroscope, Norwegian Institute of Bioeconomy Research (NIBIO), Julius Kühn-Institut (JKI), Norwegian Univ Life Sci, University of Copenhagen = Københavns Universitet (KU), Institut de Génétique, Environnement et Protection des Plantes (IGEPP), Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-AGROCAMPUS OUEST, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Teagasc - The Agriculture and Food Development Authority (Teagasc), This paper has arisen from a European ERA-NET C-IPM project called FlyIPM (integrated control of root-feeding fly larvae infesting vegetable crops). Participation was funded nationally. National funders were the Danish Environmental Protection Agency (grant no. MST-667-00280), the UK Department for Environment, Food and Rural Affairs (DEFRA), the Research Council of Norway (RCN), project No. 273179/E50, the Swiss Federal Office for Agriculture (FOAG). Ireland through Teagasc, The Agriculture and Food Authority, project No. 0336 and Department of Agriculture, Food and the Marine Stimulus project 14/s/879 and Agence Française pour la Biodiversité (AFB)., Norsk institutt for bioøkonomi=Norwegian Institute of Bioeconomy Research (NIBIO), University of Copenhagen = Københavns Universitet (UCPH), Université de Rennes (UR)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-INSTITUT AGRO Agrocampus Ouest, and Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)
- Subjects
0106 biological sciences ,Delia floralis ,Integrated pest management ,Decision support system ,decision support ,Delia antiqua ,[SDV]Life Sciences [q-bio] ,forecasting ,Review ,010603 evolutionary biology ,01 natural sciences ,Delia radicum ,Chamaepsila rosae ,Delia platura ,fly larvae ,lcsh:Science ,biology ,integrated pest management ,Agroforestry ,Phenology ,Delia florilega ,biology.organism_classification ,010602 entomology ,monitoring ,Insect Science ,lcsh:Q ,PEST analysis - Abstract
Several important vegetable crops grown outdoors in temperate climates in Europe can be damaged by the root-feeding larvae of Diptera (Delia radicum, Delia floralis, Chamaepsila rosae, Delia platura, Delia florilega, Delia antiqua). Knowledge of pest insect phenology is a key component of any Integrated Pest Management (IPM) strategy, and this review considers the methods used to monitor and forecast the occurrence of root-feeding flies as a basis for decision-making by growers and the ways that such information can be applied. It has highlighted some current management approaches where such information is very useful for decision support, for example, the management of C. rosae with insecticidal sprays and the management of all of these pests using crop covers. There are other approaches, particularly those that need to be applied at sowing or transplanting, where knowledge of pest phenology and abundance is less necessary. Going forward, it is likely that the number of insecticidal control options available to European vegetable growers will diminish and they will need to move from a strategy which often involves using a single ‘silver bullet’ to a combination of approaches/tools with partial effects (applied within an IPM framework). For the less-effective, combined methods, accurate information about pest phenology and abundance and reliable decision support are likely to be extremely important.
- Published
- 2020