Profitability of fungicide applications for managing soybean rust in scenarios of variable efficacy and costs: A stochastic simulation

Abstract

Soybean rust (SBR, Phakopsora pachyrhizi) is the most economically significant disease for soybean worldwide, but mainly in Brazil (Godoy et al., 2016). Here, the disease can be more severe because the off-season (winter) climate does not restrict the survival of the fungal pathogen and the within-season (summer) climate is generally favourable for epidemics (Del Ponte & Esker, 2008;Del Ponte et al., 2006;Godoy et al., 2016). The disease was first detected in Brazil in 2001, and the impact on yield in commercial crops was devastating, but subsequently minimized with the use of improved control methods (Godoy et al., 2016). Severe yield losses, as high as 78%, have been reported in unmanaged field experiment plots conducted over a decade (Dalla Lana et al., 2015). Today, the combination of chemical,

Coupling machine learning and epidemiological modelling to characterise optimal fungicide doses when fungicide resistance is partial or quantitative

“…An economic analysis accounting for fungicide costs would also be interesting [ 43 , 44 ]. This approach would help us understand how to delay resistance development while maintaining good crop and economic yields for as long as possible.…”

Modelling quantitative fungicide resistance and breakdown of resistant cultivars: Designing integrated disease management strategies for Septoria of winter wheat

“…We have considered full-dose applications of fungicide here; future work could include an analysis of dose choice and optimise for number of applications and dose in each application. A basic economic analysis could be included by accounting for the cost of each fungicide application [49,70]. By extending the model to include two fungicides we could address questions on fungicide mixtures and whether mixtures outperform alternations in the case of quantitative resistance.…”

“…something analogous to the so-called 'Merry Dance' [71]. There are many other crop diseases which are controlled by azole fungicides, for example powdery mildew, brown rust in wheat crops, citrus fruit mould and soybean rust [70,72]. There are also pathogens (including Z. tritici) controlled by other fungicides to which resistance is quantitative, for example SDHI fungicides [17].…”

Epidemiology and management of frogeye leaf spot of soybean: damage thresholds, efficacy and profitability of foliar fungicides

“…Yet, results from this study may provide useful information for regional risk assessment of potential yield loss if FLS severity is measured on site. For instance, as long as damage functions are available, they can be incorporated in interactive web apps for risk assessment by simulating different scenarios of disease pressure, potential yields and fungicide efficacies (Alves et al, 2021).…”