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.
Please Note: This is an On Demand product, delivery may take up to 11 working days after payment has been received.
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.
Please Note: This is an On Demand product, delivery may take up to 11 working days after payment has been received.
Table of Contents
1. Major Issues in Insect Resistance Management2. 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
Authors
David W. Onstad Research Scientist, Corteva Agriscience, USA. Dr. David W. Onstad has been an entomologist for over 40 years focusing on insect resistance management, insect epizootiology, economics of integrated pest management, and ecological modeling. He was elected fellow of the Entomological Society of America in 2022. Since retiring after 26 years as a professor at the University of Illinois, he has been the lead mathematical modeler for DuPont Pioneer/CortevaAgriscience in support of data-driven strategic decision-making, assessing resistance risks, and product registration and development of transgenic insecticidal crops. Lisa M. Knolhoff Senior Scientist, U. S. Department of Agriculture, USA. Dr. Lisa Knolhoff works in the field of agricultural biotechnology and has over 20 years of experience with arthropod pests of agricultural and medical importance. Her background includes insect behavior, genetics, and evolution, and she has worked in academia, private industry, and government. She has focused on insect adaptation to cropping practices, alternative host plants, and transgenic insecticidal crops. She reviews potential impacts of biotechnology in agriculture and has served as an invited consultant on topics related to gene drives and genetically engineered organisms.Dr. Knolhoff contributed to this volume in a personal capacity. The views expressed do not necessarily represent the views of the United States Department of Agriculture, its agencies, or the government of the United States of America.
