rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Insect resistance management
    sub title: biology, economics, and prediction
  name:
    name part: Onstad, David W.
    role:
      role term: editor.
  name:
    name part: Knolhoff, Lisa M.
    role:
      role term: editor.
  name:
    name part: ScienceDirect (Online service)
  type of resource: text
  genre: Electronic books.
  origin info:
    place:
      place term: enk
    date issued: 2023
    edition: Third edition.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource : illustrations.
  abstract: 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.
  table of contents: 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.
  table of contents: 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.
  table of contents: 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.
  table of contents: 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.
  note: edited by David W. Onstad, Lisa M. Knolhoff.
  subject:
    topic: Pests
    topic: Control
  subject:
    topic: Plants
    topic: Disease and pest resistance
  subject:
    topic: Animaux et plantes nuisibles
    topic: Lutte contre
  subject:
    topic: Plantes
    topic: Résistance aux maladies et fléaux
  subject:
    topic: pest control
  subject:
    topic: Pests
    topic: Control
  subject:
    topic: Plants
    topic: Disease and pest resistance
  classification: SB950 .I57 2023
  classification: 632.9
  related item:
    title info:
      title: Insect resistance management
    origin info:
      publisher: Amsterdam : Academic Press, 2022
      edition: Third edition.
    identifier: (OCoLC)1338684042
  identifier: 9780128238011
  identifier: 0128238011
  identifier: 9780128237878
  identifier: 0128237872
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: OPELS
    record creation date: 221108
    record change date: 20260327173529.2
    record identifier: in00005770905
    language of cataloging:
      language term: eng