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Insect Resistance Management: Biology, Economics, and Prediction

Editat de David W. Onstad, Lisa M. Knolhoff
en Limba Engleză Hardback – 23 oct 2022
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.


  • Provides insights from the history of IRM to the latest science
  • Includes contributions from experts on ecological aspects of IRM, molecular and population genetics, economics, and IRM social issues
  • Encourages scientists and stakeholders to implement and coordinate strategies based on local and species-specific conditions
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Specificații

ISBN-13: 9780128237878
ISBN-10: 0128237872
Pagini: 580
Ilustrații: Approx. 100 illustrations
Dimensiuni: 152 x 229 mm
Greutate: 0.94 kg
Ediția:3
Editura: ELSEVIER SCIENCE

Cuprins

1. Major Issues in Insect Resistance Management
2. Valuing Pest Susceptibility to Control
3. IPM in Africa: the necessary foundation for insect resistance management 
4. Concepts and Complexities of Population Genetics
5. Resistance in Ectoparasites
6. Insect Resistance to Crop Rotation
7. Resistance to Pathogens and Parasitic Invertebrates
8. Arthropod Resistance to Crops
9. Resistance to Genetic Control
10. The Role of Landscapes in Insect Resistance Management
11. Insect Resistance, Natural Enemies, and Density-Dependent Processes
12. Modeling for Prediction and Management
13. Monitoring Resistance
14. Fitness Costs of Resistance and Their Potential Application for IRM
15. Insect Resistance Management: Adoption and Compliance
16. IPM and Insect Resistance Management