Literature DB >> 23859011

Optimal fungicide application timings for disease control are also an effective anti-resistance strategy: a case study for Zymoseptoria tritici (Mycosphaerella graminicola) on wheat.

F van den Berg, F van den Bosch, N D Paveley.   

Abstract

Strategies to slow fungicide resistance evolution often advocate early "prophylactic" fungicide application and avoidance of "curative" treatments where possible. There is little evidence to support such guidance. Fungicide applications are usually timed to maximize the efficiency of disease control during the yield-forming period. This article reports mathematical modeling to explore whether earlier timings might be more beneficial for fungicide resistance management compared with the timings that are optimal for efficacy. There are two key timings for fungicide treatment of winter wheat in the United Kingdom: full emergence of leaf three (counting down the canopy) and full emergence of the flag leaf (leaf 1). These timings (referred to as T1 and T2, respectively) maximize disease control on the upper leaves of the crop canopy that are crucial to yield. A differential equation model was developed to track the dynamics of leaf emergence and senescence, epidemic growth, fungicide efficacy, and selection for a resistant strain. The model represented Zymoseptoria tritici on wheat treated twice at varying spray timings. At all fungicide doses tested, moving one or both of the two sprays earlier than the normal T1 and T2 timings reduced selection but also reduced efficacy. Despite these opposing effects, at a fungicide dose just sufficient to obtain effective control, the T1 and T2 timings optimized fungicide effective life (the number of years that effective control can be maintained). At a higher dose, earlier spray timings maximized effective life but caused some reduction in efficacy, whereas the T1 and T2 timings maximized efficacy but resulted in an effective life 1 year shorter than the maximum achievable.

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Year:  2013        PMID: 23859011     DOI: 10.1094/PHYTO-03-13-0061-R

Source DB:  PubMed          Journal:  Phytopathology        ISSN: 0031-949X            Impact factor:   4.025


  5 in total

1.  Identification of factors involved in dimorphism and pathogenicity of Zymoseptoria tritici.

Authors:  Alexander Yemelin; Annamaria Brauchler; Stefan Jacob; Julian Laufer; Larissa Heck; Andrew J Foster; Luis Antelo; Karsten Andresen; Eckhard Thines
Journal:  PLoS One       Date:  2017-08-22       Impact factor: 3.240

2.  Dose and number of applications that maximize fungicide effective life exemplified by Zymoseptoria tritici on wheat - a model analysis.

Authors:  F van den Berg; N D Paveley; F van den Bosch
Journal:  Plant Pathol       Date:  2016-06-10       Impact factor: 2.590

3.  What makes or breaks a campaign to stop an invading plant pathogen?

Authors:  Alice E Milne; Tim Gottwald; Stephen R Parnell; Vasthi Alonso Chavez; Frank van den Bosch
Journal:  PLoS Comput Biol       Date:  2020-02-06       Impact factor: 4.475

4.  The Evolution of Fungicide Resistance Resulting from Combinations of Foliar-Acting Systemic Seed Treatments and Foliar-Applied Fungicides: A Modeling Analysis.

Authors:  James L Kitchen; Frank van den Bosch; Neil D Paveley; Joseph Helps; Femke van den Berg
Journal:  PLoS One       Date:  2016-08-29       Impact factor: 3.240

5.  Sensitivity of the Pyrenophora teres Population in Algeria to Quinone outside Inhibitors, Succinate Dehydrogenase Inhibitors and Demethylation Inhibitors.

Authors:  Hamama-Imène Lammari; Alexandra Rehfus; Gerd Stammler; Hamida Benslimane
Journal:  Plant Pathol J       Date:  2020-06-01       Impact factor: 1.795

  5 in total

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