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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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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