Abstract
The evolution of herbicide resistance in weeds is governed by the interaction of genetic and ecological factors that determine the frequency of resistant traits in populations. To date, modelling of this process has concentrated on conceptual understanding of the relative importance of different component processes at varying levels of detail, with a view to the design of management programmes. In a case study, this paper analyses the fitness of resistant and susceptible biotypes of Alopecurus myosuroides under differing herbicide (chlorotoluron) selection regimes and assesses the significance of the results in the spread of resistance by simulation modelling. Fitness measured as per capita seed production of plants was shown to be both frequency and density dependent in an experimental trial comparing resistant (R) and susceptible (S) biotypes in mixture. The form of this interaction and the consequent selection against the S biotype was strongly influenced by rate of chlorotoluron application. The importance of various demographic factors was investigated using a simulation model with the assumption of dominant major gene inheritance of resistance. The model showed that, given the observed responses to selection, the interaction of density dependent and density independent regulation was critical to the spread of the resistance. Simulated management sequences rotating the intensity of selection and density independent regulation were shown to be effective in controlling the frequency of the resistance allele and prevented the emergence of resistant phenotypes.
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Mortimer, A.M., Ulf-Hansen, P.F., Putwain, P.D. (1992). Modelling Herbicide Resistance - A Study of Ecological Fitness. In: Denholm, I., Devonshire, A.L., Hollomon, D.W. (eds) Resistance ’91: Achievements and Developments in Combating Pesticide Resistance. Springer, Dordrecht. https://doi.org/10.1007/978-94-011-2862-9_13
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DOI: https://doi.org/10.1007/978-94-011-2862-9_13
Publisher Name: Springer, Dordrecht
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