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Prediction of pest pressure on corn root nodes: the POPP-Corn model
A model for the corn rootworm Diabrotica spp. combined with a temporally explicit model for development of corn roots across the soil profile was developed to link pest ecology, root damage and yield loss. Development of the model focused on simulating root damage from rootworm feeding in accordance...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5290061/ https://www.ncbi.nlm.nih.gov/pubmed/28217038 http://dx.doi.org/10.1007/s10340-016-0788-x |
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author | Agatz, Annika Ashauer, Roman Sweeney, Paul Brown, Colin D. |
author_facet | Agatz, Annika Ashauer, Roman Sweeney, Paul Brown, Colin D. |
author_sort | Agatz, Annika |
collection | PubMed |
description | A model for the corn rootworm Diabrotica spp. combined with a temporally explicit model for development of corn roots across the soil profile was developed to link pest ecology, root damage and yield loss. Development of the model focused on simulating root damage from rootworm feeding in accordance with observations in the field to allow the virtual testing of efficacy from management interventions in the future. We present the model and demonstrate its applicability for simulating root damage by comparison between observed and simulated pest development and root damage (assessed according to the node injury scale from 0 to 3) for field studies from the literature conducted in Urbana, Illinois (US), between 1991 and 2014. The model simulated the first appearance of larvae and adults to within a week of that observed in 88 and 71 % of all years, respectively, and in all cases to within 2 weeks of the first sightings recorded for central Illinois. Furthermore, in 73 % of all years simulated root damage differed by <0.5 node injury scale points compared to the observations made in the field between 2005 and 2014 even though accurate information for initial pest pressure (i.e. number of eggs in the soil) was not measured at the sites or available from nearby locations. This is, to our knowledge, the first time that pest ecology, root damage and yield loss have been successfully interlinked to produce a virtual field. There are potential applications in investigating efficacy of different pest control measures and strategies. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s10340-016-0788-x) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5290061 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-52900612017-02-16 Prediction of pest pressure on corn root nodes: the POPP-Corn model Agatz, Annika Ashauer, Roman Sweeney, Paul Brown, Colin D. J Pest Sci (2004) Original Paper A model for the corn rootworm Diabrotica spp. combined with a temporally explicit model for development of corn roots across the soil profile was developed to link pest ecology, root damage and yield loss. Development of the model focused on simulating root damage from rootworm feeding in accordance with observations in the field to allow the virtual testing of efficacy from management interventions in the future. We present the model and demonstrate its applicability for simulating root damage by comparison between observed and simulated pest development and root damage (assessed according to the node injury scale from 0 to 3) for field studies from the literature conducted in Urbana, Illinois (US), between 1991 and 2014. The model simulated the first appearance of larvae and adults to within a week of that observed in 88 and 71 % of all years, respectively, and in all cases to within 2 weeks of the first sightings recorded for central Illinois. Furthermore, in 73 % of all years simulated root damage differed by <0.5 node injury scale points compared to the observations made in the field between 2005 and 2014 even though accurate information for initial pest pressure (i.e. number of eggs in the soil) was not measured at the sites or available from nearby locations. This is, to our knowledge, the first time that pest ecology, root damage and yield loss have been successfully interlinked to produce a virtual field. There are potential applications in investigating efficacy of different pest control measures and strategies. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s10340-016-0788-x) contains supplementary material, which is available to authorized users. Springer Berlin Heidelberg 2016-06-21 2017 /pmc/articles/PMC5290061/ /pubmed/28217038 http://dx.doi.org/10.1007/s10340-016-0788-x Text en © The Author(s) 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Original Paper Agatz, Annika Ashauer, Roman Sweeney, Paul Brown, Colin D. Prediction of pest pressure on corn root nodes: the POPP-Corn model |
title | Prediction of pest pressure on corn root nodes: the POPP-Corn model |
title_full | Prediction of pest pressure on corn root nodes: the POPP-Corn model |
title_fullStr | Prediction of pest pressure on corn root nodes: the POPP-Corn model |
title_full_unstemmed | Prediction of pest pressure on corn root nodes: the POPP-Corn model |
title_short | Prediction of pest pressure on corn root nodes: the POPP-Corn model |
title_sort | prediction of pest pressure on corn root nodes: the popp-corn model |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5290061/ https://www.ncbi.nlm.nih.gov/pubmed/28217038 http://dx.doi.org/10.1007/s10340-016-0788-x |
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