Models of <i>Diabrotica</i> Populations: Demography, Population Genetics, Geographic Spread, and Management

Both <i>Diabrotica virgifera virgifera</i> LeConte and <i>D. barberi</i> Smith and Lawrence are among the most damaging insects impacting corn in North America. <i>D. virgifera virgifera</i> has also invaded Europe and has become an important pest in that region....

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Main Authors: David W. Onstad, Michael A. Caprio, Zaiqi Pan
Format: Article
Language:English
Published: MDPI AG 2020-10-01
Series:Insects
Subjects:
Online Access:https://www.mdpi.com/2075-4450/11/10/712
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spelling doaj-c9481b652aa34c5d87ddd410173520132020-11-25T03:41:41ZengMDPI AGInsects2075-44502020-10-011171271210.3390/insects11100712Models of <i>Diabrotica</i> Populations: Demography, Population Genetics, Geographic Spread, and ManagementDavid W. Onstad0Michael A. Caprio1Zaiqi Pan2Corteva Agriscience, Johnston, IA 50131, USADepartment of Biochemistry, Molecular Biology, Entomology and Plant Pathology, Mississippi State University, Mississippi State, MS 39762, USACorteva Agriscience, Chestnut Run Plaza 735/4175-3, 974 Centre Rd, Wilmington, DE 19805, USABoth <i>Diabrotica virgifera virgifera</i> LeConte and <i>D. barberi</i> Smith and Lawrence are among the most damaging insects impacting corn in North America. <i>D. virgifera virgifera</i> has also invaded Europe and has become an important pest in that region. Computer models have become an important tool for understanding the impact and spread of these important pests. Over the past 30 years, over 40 models have been published related to these pests. The focus of these models range from occupancy models (particularly for Europe), impact of climate change, range expansion, economics of pest management, phenology, to the evolution of resistance to toxins and crop rotation. All of these models share characteristics. We elaborate on the methods in which modelers have incorporated the biology of these pests, including density-dependence, movement, fecundity and overwintering mortality. We discuss the utility of both spatially-explicit, complex models and spatially-implicit, generational models and where each might be appropriate. We review resistance models that either explain past evolution to crop rotation, insecticides or insecticidal traits or attempt to predict the consequences of resistance management strategies.https://www.mdpi.com/2075-4450/11/10/712<i>Diabrotica barberi</i><i>Diabrotica virgifera virgifera</i>insect resistance managementpopulation dynamics
collection DOAJ
language English
format Article
sources DOAJ
author David W. Onstad
Michael A. Caprio
Zaiqi Pan
spellingShingle David W. Onstad
Michael A. Caprio
Zaiqi Pan
Models of <i>Diabrotica</i> Populations: Demography, Population Genetics, Geographic Spread, and Management
Insects
<i>Diabrotica barberi</i>
<i>Diabrotica virgifera virgifera</i>
insect resistance management
population dynamics
author_facet David W. Onstad
Michael A. Caprio
Zaiqi Pan
author_sort David W. Onstad
title Models of <i>Diabrotica</i> Populations: Demography, Population Genetics, Geographic Spread, and Management
title_short Models of <i>Diabrotica</i> Populations: Demography, Population Genetics, Geographic Spread, and Management
title_full Models of <i>Diabrotica</i> Populations: Demography, Population Genetics, Geographic Spread, and Management
title_fullStr Models of <i>Diabrotica</i> Populations: Demography, Population Genetics, Geographic Spread, and Management
title_full_unstemmed Models of <i>Diabrotica</i> Populations: Demography, Population Genetics, Geographic Spread, and Management
title_sort models of <i>diabrotica</i> populations: demography, population genetics, geographic spread, and management
publisher MDPI AG
series Insects
issn 2075-4450
publishDate 2020-10-01
description Both <i>Diabrotica virgifera virgifera</i> LeConte and <i>D. barberi</i> Smith and Lawrence are among the most damaging insects impacting corn in North America. <i>D. virgifera virgifera</i> has also invaded Europe and has become an important pest in that region. Computer models have become an important tool for understanding the impact and spread of these important pests. Over the past 30 years, over 40 models have been published related to these pests. The focus of these models range from occupancy models (particularly for Europe), impact of climate change, range expansion, economics of pest management, phenology, to the evolution of resistance to toxins and crop rotation. All of these models share characteristics. We elaborate on the methods in which modelers have incorporated the biology of these pests, including density-dependence, movement, fecundity and overwintering mortality. We discuss the utility of both spatially-explicit, complex models and spatially-implicit, generational models and where each might be appropriate. We review resistance models that either explain past evolution to crop rotation, insecticides or insecticidal traits or attempt to predict the consequences of resistance management strategies.
topic <i>Diabrotica barberi</i>
<i>Diabrotica virgifera virgifera</i>
insect resistance management
population dynamics
url https://www.mdpi.com/2075-4450/11/10/712
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AT michaelacaprio modelsofidiabroticaipopulationsdemographypopulationgeneticsgeographicspreadandmanagement
AT zaiqipan modelsofidiabroticaipopulationsdemographypopulationgeneticsgeographicspreadandmanagement
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