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Managing the evolution of herbicide resistance
BACKGROUND: Understanding and managing the evolutionary responses of pests and pathogens to control efforts is essential to human health and survival. Herbicide‐resistant (HR) weeds undermine agricultural sustainability, productivity and profitability, yet the epidemiology of resistance evolution – ...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley & Sons, Ltd
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5029781/ https://www.ncbi.nlm.nih.gov/pubmed/25809409 http://dx.doi.org/10.1002/ps.4009 |
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author | Evans, Jeffrey A Tranel, Patrick J Hager, Aaron G Schutte, Brian Wu, Chenxi Chatham, Laura A Davis, Adam S |
author_facet | Evans, Jeffrey A Tranel, Patrick J Hager, Aaron G Schutte, Brian Wu, Chenxi Chatham, Laura A Davis, Adam S |
author_sort | Evans, Jeffrey A |
collection | PubMed |
description | BACKGROUND: Understanding and managing the evolutionary responses of pests and pathogens to control efforts is essential to human health and survival. Herbicide‐resistant (HR) weeds undermine agricultural sustainability, productivity and profitability, yet the epidemiology of resistance evolution – particularly at landscape scales – is poorly understood. We studied glyphosate resistance in a major agricultural weed, Amaranthus tuberculatus (common waterhemp), using landscape, weed and management data from 105 central Illinois grain farms, including over 500 site‐years of herbicide application records. RESULTS: Glyphosate‐resistant (GR) A. tuberculatus occurrence was greatest in fields with frequent glyphosate applications, high annual rates of herbicide mechanism of action (MOA) turnover and few MOAs field(−1) year(−1). Combining herbicide MOAs at the time of application by herbicide mixing reduced the likelihood of GR A. tuberculatus. CONCLUSIONS: These findings illustrate the importance of examining large‐scale evolutionary processes at relevant spatial scales. Although measures such as herbicide mixing may delay GR or other HR weed traits, they are unlikely to prevent them. Long‐term weed management will require truly diversified management practices that minimize selection for herbicide resistance traits. © 2015 The Authors. Pest Management Science published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry. |
format | Online Article Text |
id | pubmed-5029781 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | John Wiley & Sons, Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-50297812016-10-03 Managing the evolution of herbicide resistance Evans, Jeffrey A Tranel, Patrick J Hager, Aaron G Schutte, Brian Wu, Chenxi Chatham, Laura A Davis, Adam S Pest Manag Sci Research Articles BACKGROUND: Understanding and managing the evolutionary responses of pests and pathogens to control efforts is essential to human health and survival. Herbicide‐resistant (HR) weeds undermine agricultural sustainability, productivity and profitability, yet the epidemiology of resistance evolution – particularly at landscape scales – is poorly understood. We studied glyphosate resistance in a major agricultural weed, Amaranthus tuberculatus (common waterhemp), using landscape, weed and management data from 105 central Illinois grain farms, including over 500 site‐years of herbicide application records. RESULTS: Glyphosate‐resistant (GR) A. tuberculatus occurrence was greatest in fields with frequent glyphosate applications, high annual rates of herbicide mechanism of action (MOA) turnover and few MOAs field(−1) year(−1). Combining herbicide MOAs at the time of application by herbicide mixing reduced the likelihood of GR A. tuberculatus. CONCLUSIONS: These findings illustrate the importance of examining large‐scale evolutionary processes at relevant spatial scales. Although measures such as herbicide mixing may delay GR or other HR weed traits, they are unlikely to prevent them. Long‐term weed management will require truly diversified management practices that minimize selection for herbicide resistance traits. © 2015 The Authors. Pest Management Science published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry. John Wiley & Sons, Ltd 2015-05-11 2016-01 /pmc/articles/PMC5029781/ /pubmed/25809409 http://dx.doi.org/10.1002/ps.4009 Text en © 2015 The Authors. Pest Management Science published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry. This is an open access article under the terms of the Creative Commons Attribution‐NonCommercial‐NoDerivs (http://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made. |
spellingShingle | Research Articles Evans, Jeffrey A Tranel, Patrick J Hager, Aaron G Schutte, Brian Wu, Chenxi Chatham, Laura A Davis, Adam S Managing the evolution of herbicide resistance |
title | Managing the evolution of herbicide resistance |
title_full | Managing the evolution of herbicide resistance |
title_fullStr | Managing the evolution of herbicide resistance |
title_full_unstemmed | Managing the evolution of herbicide resistance |
title_short | Managing the evolution of herbicide resistance |
title_sort | managing the evolution of herbicide resistance |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5029781/ https://www.ncbi.nlm.nih.gov/pubmed/25809409 http://dx.doi.org/10.1002/ps.4009 |
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