An Interactive Teaching Tool Describing Resistance Evolution and Basic Economics of Insecticide-Based Pest Management

Effective teaching of complex concepts relies heavily on the ability to establish relevance of topics and to engage students in a constructive dialogue. To connect students with abstract concepts and basic theory, instructors foster and facilitate an engaging teaching environment. Population modelin...

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Main Author: Christian Nansen
Format: Article
Language:English
Published: MDPI AG 2022-02-01
Series:Insects
Subjects:
Online Access:https://www.mdpi.com/2075-4450/13/2/169
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author Christian Nansen
author_facet Christian Nansen
author_sort Christian Nansen
collection DOAJ
description Effective teaching of complex concepts relies heavily on the ability to establish relevance of topics and to engage students in a constructive dialogue. To connect students with abstract concepts and basic theory, instructors foster and facilitate an engaging teaching environment. Population modeling is a cornerstone in applied entomology. However, it is also a topic and skill set that requires both basic mathematical and biological knowledge, and it may be perceived by students as being abstract and exceedingly theoretical. As a way to introduce entomology students at both that undergraduate and graduate levels to hands-on experience with population modeling, a well-established and widely used deterministic genetic population model is presented as an interactive teaching tool. Moreover, the general model describes three genotypes (SS = homozygous susceptible, SR = heterozygous, and RR = homozygous resistant) during 30 discrete and univoltine generations under a shared population density dependence (carrying capacity). Based on user inputs for each genotype (survival, fitness cost, reproductive rate, emigration, and immigration) and an initial resistance allele frequency, model outputs related to resistance evolution are produced. User inputs related to insecticide-based pest management (pest density action threshold, crop damage rate, insecticide treatment costs, and profit potential) can also be introduced to examine and interpret the basic economic effects of different insect pest management scenarios. The proposed model of resistance evolution and basic economics of pest management relies on a large number of important simplifications, so it may only have limited ability to predict the outcomes of real-world (commercial) scenarios. However, as a teaching tool and to introduce students to a well-known and widely used genetic population model structure, the interactive teaching tool is believed to have considerable utility and relevance.
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spelling doaj.art-a9b21bab060d4406a2c10a13117eeddd2023-11-23T20:27:18ZengMDPI AGInsects2075-44502022-02-0113216910.3390/insects13020169An Interactive Teaching Tool Describing Resistance Evolution and Basic Economics of Insecticide-Based Pest ManagementChristian Nansen0Department of Entomology and Nematology, University of California, Davis, CA 95616, USAEffective teaching of complex concepts relies heavily on the ability to establish relevance of topics and to engage students in a constructive dialogue. To connect students with abstract concepts and basic theory, instructors foster and facilitate an engaging teaching environment. Population modeling is a cornerstone in applied entomology. However, it is also a topic and skill set that requires both basic mathematical and biological knowledge, and it may be perceived by students as being abstract and exceedingly theoretical. As a way to introduce entomology students at both that undergraduate and graduate levels to hands-on experience with population modeling, a well-established and widely used deterministic genetic population model is presented as an interactive teaching tool. Moreover, the general model describes three genotypes (SS = homozygous susceptible, SR = heterozygous, and RR = homozygous resistant) during 30 discrete and univoltine generations under a shared population density dependence (carrying capacity). Based on user inputs for each genotype (survival, fitness cost, reproductive rate, emigration, and immigration) and an initial resistance allele frequency, model outputs related to resistance evolution are produced. User inputs related to insecticide-based pest management (pest density action threshold, crop damage rate, insecticide treatment costs, and profit potential) can also be introduced to examine and interpret the basic economic effects of different insect pest management scenarios. The proposed model of resistance evolution and basic economics of pest management relies on a large number of important simplifications, so it may only have limited ability to predict the outcomes of real-world (commercial) scenarios. However, as a teaching tool and to introduce students to a well-known and widely used genetic population model structure, the interactive teaching tool is believed to have considerable utility and relevance.https://www.mdpi.com/2075-4450/13/2/169resistance evolutionintegrated pest managementinsect population modeling
spellingShingle Christian Nansen
An Interactive Teaching Tool Describing Resistance Evolution and Basic Economics of Insecticide-Based Pest Management
Insects
resistance evolution
integrated pest management
insect population modeling
title An Interactive Teaching Tool Describing Resistance Evolution and Basic Economics of Insecticide-Based Pest Management
title_full An Interactive Teaching Tool Describing Resistance Evolution and Basic Economics of Insecticide-Based Pest Management
title_fullStr An Interactive Teaching Tool Describing Resistance Evolution and Basic Economics of Insecticide-Based Pest Management
title_full_unstemmed An Interactive Teaching Tool Describing Resistance Evolution and Basic Economics of Insecticide-Based Pest Management
title_short An Interactive Teaching Tool Describing Resistance Evolution and Basic Economics of Insecticide-Based Pest Management
title_sort interactive teaching tool describing resistance evolution and basic economics of insecticide based pest management
topic resistance evolution
integrated pest management
insect population modeling
url https://www.mdpi.com/2075-4450/13/2/169
work_keys_str_mv AT christiannansen aninteractiveteachingtooldescribingresistanceevolutionandbasiceconomicsofinsecticidebasedpestmanagement
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