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Format: 1 online resource (582 pages)

Edition: Third edition.

ISBN: 0-12-823801-1

Content: The third edition of Insect Resistance Management: Biology, Economics, and Prediction expands coverage by including three new chapters on African agriculture, genetic control of pests, and fitness costs of resistance. All remaining chapters have been updated to cover key scientific findings published since 2013. The coauthors have expertise in evolutionary biology, ecology, economics, epizootiology, statistics, modeling, IPM, and genetics. The original themes demonstrating the importance of economics, IPM, pest behavior, and the behavior of humans implementing insect resistance management (IRM) are still relevant. Entomologists and others developing experiments, models, regulations, or public policy will benefit from this book that avoids reliance on dogma by analyzing and synthesizing knowledge about a wide variety of species, landscapes, and stakeholder problems.

Note: Front Cover -- Insect Resistance Management -- Copyright Page -- Contents -- List of contributors -- About the editors -- Foreword -- References -- Preface to third edition -- Cover description -- 1. Major issues in insect resistance management -- 1.1 Philosophy and history -- 1.1.1 History and current status of resistance to pesticides -- 1.1.2 Definitions of insect resistance -- 1.2 Mechanisms of resistance to toxins -- 1.3 Major themes -- 1.3.1 Integrated pest management -- 1.3.2 Long-term, areawide integrated pest management -- 1.3.3 Coordination -- 1.3.4 Pest behavior -- 1.3.5 Variability and complexity of management strategies -- 1.3.5.1 Kill fewer susceptibles -- 1.3.5.2 Kill all the heterozygotes -- 1.3.5.3 Use two treatments -- 1.3.5.4 The future is not the past -- 1.4 Encouragement -- References -- 2. Valuing pest susceptibility to control -- 2.1 Goods and values -- 2.1.1 Goods -- 2.1.2 Values -- 2.2 Valuation of pests -- 2.2.1 Valuation of pest population densities and damage -- 2.2.2 Valuation of pest susceptibility -- 2.3 Discounting and valuing the future -- 2.4 Risk -- 2.5 Overview of economic models -- 2.6 Conclusion -- References -- 3. Integrated pest management in Africa: the necessary foundation for insect resistance management -- 3.1 Introduction -- 3.1.1 Cropping systems in Africa -- 3.2 Insect pests of major crops in Africa -- 3.2.1 Cassava -- 3.2.2 Cotton -- 3.2.3 Cowpea -- 3.2.4 Maize -- 3.2.5 Millet -- 3.2.6 Sorghum -- 3.2.7 Rice -- 3.2.8 Soybean -- 3.2.9 Wheat -- 3.2.10 Potato -- 3.3 Integrated pest management in Africa -- 3.3.1 Challenges to IRM strategies -- 3.3.2 Key obstacles to the adoption integrated pest management technologies in sub-Saharan Africa -- 3.3.3 Integrated pest management must be cost-effective -- 3.3.4 Integrated pest management must account for farming practices. , 3.3.5 Integrated pest management requires proper training and education -- 3.3.6 Weak incentives for adoption -- 3.3.7 Research weaknesses -- 3.3.8 Outreach challenges -- 3.3.9 Integrated pest management should not be based on programs in developed countries -- 3.4 Conclusions -- References -- 4. Concepts and complexities of population genetics -- 4.1 Without natural selection -- 4.2 Evolution due to natural selection -- 4.3 Natural selection in patchy landscapes -- 4.3.1 Genotypic fitness constant over time -- 4.3.2 Variable fitness over time and space -- 4.4 Gene flow and population structure -- 4.5 Mating -- 4.6 Random genetic drift and demographic Allee effects -- 4.7 Genetic architecture and evolution -- 4.8 Mutations, gene pool, and genetic variation -- 4.9 Dominance -- 4.10 Gene interactions -- 4.11 Fitness costs -- 4.12 Haplodiploidy -- 4.13 Resistance evolution and pest generation time -- 4.14 Temporal and spatial scales in hypotheses -- 4.15 Conclusions -- References -- 5. Resistance in ectoparasites -- 5.1 Definitions -- 5.2 Mosquitoes -- 5.2.1 Integrated pest management and alternatives for management -- 5.2.2 Recent history of resistance in some mosquitoes -- 5.2.3 Economics and planning -- 5.2.4 Modeling and prediction -- 5.3 Bed bugs -- 5.4 Human head lice -- 5.5 Fleas of cats and dogs -- 5.6 Mites on bees -- 5.7 Ticks of cattle -- 5.8 Blow fly in sheep -- 5.9 Horn fly on cattle -- 5.10 Musca domestica -- 5.11 Discussion -- References -- 6. Insect resistance to crop rotation -- 6.1 History of crop rotation -- 6.1.1 Specialist pests are vulnerable to crop rotation -- 6.2 Corn production, corn rootworm, and chemical insecticides -- 6.2.1 History of Diabrotica -- 6.2.2 Corn rootworm biology -- 6.2.3 Chemical insecticides and corn rootworm control -- 6.3 Resistance to crop rotation -- 6.3.1 Northern corn rootworm and prolonged diapause. , 6.3.2 Western corn rootworm and behavioral resistance to crop rotation -- 6.3.3 The biology of rotation-resistant western corn rootworm -- 6.3.4 Movement and the mechanism of behavioral resistance to crop rotation -- 6.4 Managing rotation-resistant corn rootworms -- 6.4.1 Monitoring rotation-resistant western corn rootworm -- 6.4.2 Monitoring western corn rootworm in Europe -- 6.4.3 Insecticides -- 6.4.4 Transgenic insecticidal corn -- 6.4.5 Prediction and rootworm insect resistance management -- 6.4.6 Incorporating western corn rootworm biology into insect resistance management -- 6.5 Future resistance -- References -- 7. Resistance to pathogens and parasitic invertebrates -- 7.1 Resistance to pathogens -- 7.1.1 Resistance to viruses -- 7.1.2 Resistance to CpGV by Cydia pomonella -- 7.2 Resistance to bacterial toxins -- 7.3 Resistance to parasitic invertebrates -- 7.3.1 Drosophila melanogaster resistance to parasitoids -- 7.3.2 Resistance by Listronotus bonariensis to a parasitoid -- 7.4 Conclusion -- References -- 8. Arthropod resistance to crops -- 8.1 Traditional crops -- 8.1.1 Nasonovia ribisnigri -- 8.1.2 Tetranychus urticae -- 8.1.3 Mayetiola destructor -- 8.1.4 Sitodiplosis mosellana -- 8.1.5 Schizaphis graminum -- 8.2 Transgenic insecticidal crops -- 8.2.1 Leptinotarsa decemlineata -- 8.2.2 Pectinophora gossypiella -- 8.2.3 Plutella xylostella -- 8.2.4 Busseola fusca -- 8.3 Discussion -- References -- 9. Resistance to genetic control -- 9.1 Introduction -- 9.2 The sterile insect technique: a brief history -- 9.3 Genetic dead-end systems -- 9.4 Systems with limited persistence -- 9.5 Self-sustaining systems -- 9.5.1 Naturally occurring systems -- 9.5.2 Engineered systems -- 9.5.3 Categories of gene drive systems -- 9.6 Resistance and resistance management -- 9.6.1 Locus-specific resistance -- 9.6.2 Assortative mating -- 9.7 Concluding remarks. , References -- 10. The role of landscapes in insect resistance management -- 10.1 Spatial heterogeneity and management -- 10.1.1 Landscape structure and design -- 10.1.1.1 Insights from simulation models -- 10.1.1.2 Insights from empirical studies -- 10.1.1.2.1 Variation in the zone of influence of refuges, identification of effective refuges, and field tests of the refug... -- 10.1.1.2.2 Variation in the source potential of refuges, regional declines, and pest eradication -- 10.1.1.2.3 Natural refuges -- 10.1.1.2.4 Fitness costs of resistance and sustainability of Bt crops -- 10.1.2 Within-field spatial mosaics -- 10.1.2.1 Origin of spatial mosaics -- 10.1.2.2 Seed mixtures and insects that do not feed on seeds -- 10.1.2.3 Impact of pollen-mediated gene flow between Bt and non-Bt plants in seed mixtures for seed-feeding pests -- 10.1.2.4 Impact of unintentional seed mixtures of Bt crops and non-Bt host plants -- 10.1.2.4.1 Seed-feeding pests -- 10.1.2.4.2 Mobile larvae -- 10.2 Temporal dynamics and management -- 10.2.1 Crop rotation -- 10.2.1.1 Evolution of resistance to crop rotation -- 10.2.1.2 Crop rotation to delay or remediate evolution of resistance to Bt crops -- 10.2.2 Dynamics of titer decline and toxin concentration -- 10.3 Conclusion -- References -- 11. Insect resistance, natural enemies, and density-dependent processes -- 11.1 Natural enemies: direct effects on selection -- 11.2 Natural enemies: density-independent and density-dependent effects -- 11.3 Intraspecific, density-dependent factors -- 11.4 Conclusion -- References -- 12. Modeling for prediction and management -- 12.1 Model development and evaluation -- 12.1.1 What is modeling? -- 12.1.2 The role of the goal -- 12.1.3 Kinds of models -- 12.1.4 Simplicity, generality, realism, and precision -- 12.1.5 Validation -- 12.1.6 Sensitivity analysis. , 12.2 Risk assessment for insect resistance management -- 12.2.1 Stochastic models and uncertainty analysis -- 12.2.2 An example of uncertainty analysis -- 12.2.2.1 Model description -- 12.2.2.1.1 Probability distributions -- 12.2.2.1.2 Scenarios and parameters -- 12.2.2.1.3 Simulation approach -- 12.2.2.2 Results -- 12.2.3 Ideas based on this uncertainty analysis -- 12.3 Insect resistance management models -- 12.3.1 Effects of pest phenology -- 12.3.2 Complex biological models with simple economic analyses -- 12.3.3 Modeling density-dependent factors -- 12.4 Conclusion -- References -- 13. Monitoring resistance -- 13.1 The concept of a distribution of tolerances -- 13.2 Monitoring based on screening populations -- 13.3 Essentials of laboratory bioassays -- 13.4 Single, discriminating dose approach -- 13.5 Dose-response approach -- 13.6 The two-dose approach -- 13.7 Other methods for quantifying resistance -- 13.8 Monitoring programs -- 13.9 Probability of detecting low levels of resistance -- 13.10 Examples of monitoring projects -- 13.11 Conclusion -- References -- 14. Fitness costs of resistance and their potential application for insect resistance management -- 14.1 Introduction -- 14.2 Refuges -- 14.3 Manipulating the dominance and magnitude of fitness costs -- 14.4 Application of fitness costs to manage insect resistance to Bt crops -- 14.5 Application of fitness costs to manage insect resistance to conventional insecticides -- 14.6 Insect behavior and fitness costs -- 14.7 Limitations in the application of fitness costs and examples involving Bt resistance -- 14.8 Conclusion -- References -- 15. Insect resistance management: adoption and compliance -- 15.1 Conceptual framework -- 15.2 Human behavior -- 15.2.1 Adoption behavior -- 15.2.2 Compliance behavior -- 15.3 Implications of human behavior -- 15.3.1 Refuge policy. , 15.3.2 Integrated pest management policy.

Additional Edition: Print version: Onstad, David W. Insect Resistance Management San Diego : Elsevier Science & Technology,c2022 ISBN 9780128237878

Language: English