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A holistic approach in herbicide resistance research and management: from resistance detection to sustainable weed control
Agricultural weeds can adapt rapidly to human activities as exemplified by the evolution of resistance to herbicides. Despite its multi-faceted nature, herbicide resistance has rarely been researched in a holistic manner. A novel approach combining timely resistance confirmation, investigation of re...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7692527/ https://www.ncbi.nlm.nih.gov/pubmed/33244093 http://dx.doi.org/10.1038/s41598-020-77649-z |
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author | Liu, Chun Jackson, Lucy V. Hutchings, Sarah-Jane Tuesca, Daniel Moreno, Raul Mcindoe, Eddie Kaundun, Shiv S. |
author_facet | Liu, Chun Jackson, Lucy V. Hutchings, Sarah-Jane Tuesca, Daniel Moreno, Raul Mcindoe, Eddie Kaundun, Shiv S. |
author_sort | Liu, Chun |
collection | PubMed |
description | Agricultural weeds can adapt rapidly to human activities as exemplified by the evolution of resistance to herbicides. Despite its multi-faceted nature, herbicide resistance has rarely been researched in a holistic manner. A novel approach combining timely resistance confirmation, investigation of resistance mechanisms, alternative control solutions and population modelling was adopted for the sustainable management of the Amaranthus palmeri weed in soybean production systems in Argentina. Here, we show that resistance to glyphosate in the studied population from Cordoba province was mainly due to a P106S target-site mutation in the 5-enolpyruvylshikimate 3-phosphate synthase (EPSPS) gene, with minor contributions from EPSPS gene duplication/overexpression. Alternative herbicides, such as fomesafen, effectively controlled the glyphosate-resistant plants. Model simulations revealed the tendency of a solo herbicidal input to primarily select for a single resistance mechanism and suggested that residual herbicides, alongside chemical diversity, were important for the sustainable use of these herbicides. We also discuss the value of an interdisciplinary approach for improved understanding of evolving weeds. |
format | Online Article Text |
id | pubmed-7692527 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-76925272020-11-30 A holistic approach in herbicide resistance research and management: from resistance detection to sustainable weed control Liu, Chun Jackson, Lucy V. Hutchings, Sarah-Jane Tuesca, Daniel Moreno, Raul Mcindoe, Eddie Kaundun, Shiv S. Sci Rep Article Agricultural weeds can adapt rapidly to human activities as exemplified by the evolution of resistance to herbicides. Despite its multi-faceted nature, herbicide resistance has rarely been researched in a holistic manner. A novel approach combining timely resistance confirmation, investigation of resistance mechanisms, alternative control solutions and population modelling was adopted for the sustainable management of the Amaranthus palmeri weed in soybean production systems in Argentina. Here, we show that resistance to glyphosate in the studied population from Cordoba province was mainly due to a P106S target-site mutation in the 5-enolpyruvylshikimate 3-phosphate synthase (EPSPS) gene, with minor contributions from EPSPS gene duplication/overexpression. Alternative herbicides, such as fomesafen, effectively controlled the glyphosate-resistant plants. Model simulations revealed the tendency of a solo herbicidal input to primarily select for a single resistance mechanism and suggested that residual herbicides, alongside chemical diversity, were important for the sustainable use of these herbicides. We also discuss the value of an interdisciplinary approach for improved understanding of evolving weeds. Nature Publishing Group UK 2020-11-26 /pmc/articles/PMC7692527/ /pubmed/33244093 http://dx.doi.org/10.1038/s41598-020-77649-z Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Liu, Chun Jackson, Lucy V. Hutchings, Sarah-Jane Tuesca, Daniel Moreno, Raul Mcindoe, Eddie Kaundun, Shiv S. A holistic approach in herbicide resistance research and management: from resistance detection to sustainable weed control |
title | A holistic approach in herbicide resistance research and management: from resistance detection to sustainable weed control |
title_full | A holistic approach in herbicide resistance research and management: from resistance detection to sustainable weed control |
title_fullStr | A holistic approach in herbicide resistance research and management: from resistance detection to sustainable weed control |
title_full_unstemmed | A holistic approach in herbicide resistance research and management: from resistance detection to sustainable weed control |
title_short | A holistic approach in herbicide resistance research and management: from resistance detection to sustainable weed control |
title_sort | holistic approach in herbicide resistance research and management: from resistance detection to sustainable weed control |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7692527/ https://www.ncbi.nlm.nih.gov/pubmed/33244093 http://dx.doi.org/10.1038/s41598-020-77649-z |
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