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Evidence-Based Resistance Management: A Review of Existing Evidence

  • Frank van den Bosch
  • Neil Paveley
  • Bart Fraaije
  • Femke van den Berg
  • Richard Oliver

Abstract

The control of fungal plant pathogens has been characterised by repeated cycles of introduction of new fungicides and for many of them a subsequent loss of efficacy due to the emergence and selection of resistant pathogen strains. Several strategies have been proposed to prevent, or at least delay, resistance problems. Such resistance management strategies should be based on evidence interpreted within a sound experimental and theoretical framework. Industry and regulatory decisions about fungicide resistance management often cannot wait for the accumulation of new evidence, so decisions should be taken by weighing the existing evidence. In discussions on resistance management, it is often not explicit what the evidence is. In this chapter, we review experimental and modelling evidence on (1) the choice of application dose, (2) the number of applications, (3) the use of fungicide mixtures, (4) the use of fungicide alternation and (5) protectant versus curative fungicide application. At several places in the text, we stress that resistance management should not compromise effective disease control.

Keywords

Evidence Resistance management Fungicides Mixture Alternation Dose Spray timing Protective Curative 

References

  1. Birch CPD, Shaw MW (1997) When can reduced doses and pesticide mixtures delay the build-up of pesticide resistance? A mathematical model. J Appl Ecol 34:1032–1042CrossRefGoogle Scholar
  2. Bolton NJE, Smith JM (1988) Strategies to combat fungicide resistance in barley powdery mildew. Br Crop Prot Conf Pests Dis: 367–372-1988, Vol 1–3,Google Scholar
  3. Brent KJ, Hollomon DW (2007) Fungicide resistance in crop pathogens: how can it be managed? Fungicide Resistance Action Committee, BrusselsGoogle Scholar
  4. Brent KJ, Carter GA, Hollomon DW, Hunter T, Locke T, Proven M (1989) Factors affecting build-up of fungicide resistance in powdery mildew in spring barley. Neth J Plant Pathol 95(S1):31–41CrossRefGoogle Scholar
  5. English AR, van Halsema G (1954) A note on the delay in the emergence of resistant Xanthomonas and Erwinia strains by the use of streptomycin plus terramycin combinations. Plant Dis Report 38:429–431Google Scholar
  6. FRAC (2010) FRAC recommendations for fungicide mixtures designed to delay resistance evolution. http://www.frac.info/
  7. Genet J-L, Jaworska G, Deparis F (2006) Effect of dose rate and mixtures of fungicides on selection for QoI resistance in populations of Plasmopara viticola. Pest Manag Sci 62:188–194CrossRefPubMedGoogle Scholar
  8. Hobbelen PHF, Fraaije B, Lucas JA, Paveley ND, van den Bosch F (2011a) Derivation and testing of a model to predict selection for fungicide resistance. Plant Pathol 60:304–313CrossRefGoogle Scholar
  9. Hobbelen PHF, Paveley ND, van den Bosch F (2011b) Delaying selection for fungicide insensitivity by mixing fungicides at a low and high risk of resistance development: a modelling analysis. Phytopathology 101:1224–1233CrossRefPubMedGoogle Scholar
  10. Hobbelen PHF, Paveley ND, van den Bosch F (2013) The value of alternation or mixtures of fungicides for delaying the selection of resistance against two modes of action in populations of Mycosphaerella graminicola on winter wheat. Phytopathology 101:690–707CrossRefGoogle Scholar
  11. Lalancette N, Hickey KD, Cole H Jr (1987) Effects of mixtures of benomyl and mancozeb on build-up of benomyl-resistant Venturia inaequalis. Phytopathology 77:86–91CrossRefGoogle Scholar
  12. Lorenz G, Saur R, Schelberger K, Forster B, Kung R, Zobrist P (1992) Long term monitoring results of wheat powdery mildew sensitivity towards fenpropimorph and strategies to avoid the development of resistance. Brighton Crop Prot Conf Pests Dis 1:171–176Google Scholar
  13. Milgroom MG, Fry WE (1988) A simulation analysis of the epidemiological principles for fungicide resistance management in pathogen populations. Phytopathology 78:565–570CrossRefGoogle Scholar
  14. Paveley ND, Sylvester-Bradley R, Scott RK, Craigon J, Day W (2001) Steps in predicting the relationship of yield on fungicide dose. Phytopathology 91:708–716CrossRefPubMedGoogle Scholar
  15. Thygesen K, Jorgensen LN, Jensen KS, Munk L (2009) Spatial and temporal impact of fungicide spray strategies on fungicide sensitivity of Mycosphaerella graminicola in winter wheat. Eur J Plant Pathol 123:435–447CrossRefGoogle Scholar
  16. van den Bosch F, Gilligan CA (2008) Models of fungicide resistance. Annu Rev Phytopathol 46:123–147CrossRefPubMedGoogle Scholar
  17. van den Bosch F, Paveley ND, Shaw MW, Hobbelen P, Oliver R (2011) The dose rate debate: does the risk of fungicide resistance increase or decrease with dose? Plant Pathol 60:597606Google Scholar
  18. van den Bosch F, Oliver R, van den Berg F, Paveley N (2014a) Governing principles can guide fungicide resistance management tactics. Annu Rev Phytopathol 52:175–195CrossRefPubMedGoogle Scholar
  19. van den Bosch F, Paveley N, van den Berg F, Hobbelen P, Oliver R (2014b) Mixtures as a fungicide resistance management tactic. Phytopathology 104(12):1264–1273Google Scholar

Copyright information

© Springer Japan 2015

Authors and Affiliations

  • Frank van den Bosch
    • 1
  • Neil Paveley
    • 2
  • Bart Fraaije
    • 1
  • Femke van den Berg
    • 1
  • Richard Oliver
    • 3
  1. 1.Rothamsted ResearchHarpendenUK
  2. 2.ADAS High MowthorpeDugglebyUK
  3. 3.Environment & Agriculture, Centre for Crop and Disease Management (CCDM)Curtin UniversityBentleyAustralia

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