Developing practical measures of the price of pesticide resistance: A flexible computational framework with global sensitivity analysis

2024/02/27 by C. R. Cho, Zachary Brown, Kevin Gross +1 · 1 voice
Biochemistry, Genetics and Molecular Biology · Agricultural and Biological Sciences · #Insect Resistance and Genetics #Weed Control and Herbicide Applications #Agricultural Innovations and Practices

paper · pdf · doi:10.1002/jaa2.107

openalex publication_date 2024/02/27 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/26

Abstract

Abstract Pesticide resistance poses an increasing challenge for agricultural sustainability. Pesticide susceptibility is a depletable biological resource, but resistance management rarely quantifies marginal, forward‐looking economic costs to users of depletion. To facilitate the development of such costs, we use a generic stochastic bioeconomic model of resistance evolution in a crop pest population, stochastic dynamic programming, and global sensitivity analysis to analyze the “marginal user costs” of resistance. The most impactful parameters are population density dependence and pesticide prices. The least impactful is the fitness cost of resistance, which is noteworthy because of prior emphasis on this parameter in the resistance management literature.

Citations

• Variance based sensitivity analysis of model output. Design and estimator for the total sensitivity index
• Fitness Costs of Insect Resistance to Bacillus thuringiensis
• Governing evolution: A socioecological comparison of resistance management for insecticidal transgenic Bt crops among four countries

Discussions

• Pesticide resistance poses major challenges for ag production, costs of food, and public health in the control of insect-vectored diseases. In this new paper, @thekazath.bsky.social et al. establish [bsky, 0 points, 0 comments]