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A Pesticide Decision Support Tool to guide the selection of less environmentally harmful pesticides for the sugar cane industry
Pesticides applied to agricultural land have been shown to decrease the quality of water entering the Great Barrier Reef lagoon. This issue is addressed by the Reef 2050 Water Quality Improvement Plan which includes a pesticide reduction target. As part of a wider educational strategy, one method th...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10611884/ https://www.ncbi.nlm.nih.gov/pubmed/37747608 http://dx.doi.org/10.1007/s11356-023-29814-w |
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author | St. John Warne, Michael Neale, Peta A. Macpherson, Michael J. |
author_facet | St. John Warne, Michael Neale, Peta A. Macpherson, Michael J. |
author_sort | St. John Warne, Michael |
collection | PubMed |
description | Pesticides applied to agricultural land have been shown to decrease the quality of water entering the Great Barrier Reef lagoon. This issue is addressed by the Reef 2050 Water Quality Improvement Plan which includes a pesticide reduction target. As part of a wider educational strategy, one method that could help meet the target is to provide stakeholders with information that assists in the selection and use of pesticide active ingredients (PAIs) that pose a lower risk to aquatic environments compared to those currently used. This study developed a Pesticide Decision Support Tool (PDST) in collaboration with stakeholders for the sugar cane industry. The PDST covers all PAIs registered and applied to sugar cane in Australia and four additional PAIs registered for use on crops grown in rotation with sugar cane. The PDST incorporates both the measure of mobility and persistence of a PAI and the measure of effect, which is based on the PAI application rate and ecotoxicity threshold value. The aquatic risk, which is the product of the measure of effect and the measure of mobility and persistence, is a measure of the likelihood that a PAI will reach the aquatic environment and cause harmful effects. Insecticide active ingredients (e.g., cadusafos, chlorpyrifos) posed the greatest aquatic risk, followed by herbicide active ingredients (e.g., MSMA, metolachlor), while fungicide AIs typically had a lower aquatic risk. An interactive spreadsheet allows characteristics, including application rate and tank mixes, to be considered when assessing the potential risk. While focusing on sugar cane, the results are equally appropriate to other crops that use the same PAIs provided the application rates are corrected to the new crop. In addition, the approach used in the PDST can be applied internationally and to any PAIs with sufficient toxicity, mobility, and persistence data. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11356-023-29814-w. |
format | Online Article Text |
id | pubmed-10611884 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-106118842023-10-29 A Pesticide Decision Support Tool to guide the selection of less environmentally harmful pesticides for the sugar cane industry St. John Warne, Michael Neale, Peta A. Macpherson, Michael J. Environ Sci Pollut Res Int Research Article Pesticides applied to agricultural land have been shown to decrease the quality of water entering the Great Barrier Reef lagoon. This issue is addressed by the Reef 2050 Water Quality Improvement Plan which includes a pesticide reduction target. As part of a wider educational strategy, one method that could help meet the target is to provide stakeholders with information that assists in the selection and use of pesticide active ingredients (PAIs) that pose a lower risk to aquatic environments compared to those currently used. This study developed a Pesticide Decision Support Tool (PDST) in collaboration with stakeholders for the sugar cane industry. The PDST covers all PAIs registered and applied to sugar cane in Australia and four additional PAIs registered for use on crops grown in rotation with sugar cane. The PDST incorporates both the measure of mobility and persistence of a PAI and the measure of effect, which is based on the PAI application rate and ecotoxicity threshold value. The aquatic risk, which is the product of the measure of effect and the measure of mobility and persistence, is a measure of the likelihood that a PAI will reach the aquatic environment and cause harmful effects. Insecticide active ingredients (e.g., cadusafos, chlorpyrifos) posed the greatest aquatic risk, followed by herbicide active ingredients (e.g., MSMA, metolachlor), while fungicide AIs typically had a lower aquatic risk. An interactive spreadsheet allows characteristics, including application rate and tank mixes, to be considered when assessing the potential risk. While focusing on sugar cane, the results are equally appropriate to other crops that use the same PAIs provided the application rates are corrected to the new crop. In addition, the approach used in the PDST can be applied internationally and to any PAIs with sufficient toxicity, mobility, and persistence data. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11356-023-29814-w. Springer Berlin Heidelberg 2023-09-25 2023 /pmc/articles/PMC10611884/ /pubmed/37747608 http://dx.doi.org/10.1007/s11356-023-29814-w Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Research Article St. John Warne, Michael Neale, Peta A. Macpherson, Michael J. A Pesticide Decision Support Tool to guide the selection of less environmentally harmful pesticides for the sugar cane industry |
title | A Pesticide Decision Support Tool to guide the selection of less environmentally harmful pesticides for the sugar cane industry |
title_full | A Pesticide Decision Support Tool to guide the selection of less environmentally harmful pesticides for the sugar cane industry |
title_fullStr | A Pesticide Decision Support Tool to guide the selection of less environmentally harmful pesticides for the sugar cane industry |
title_full_unstemmed | A Pesticide Decision Support Tool to guide the selection of less environmentally harmful pesticides for the sugar cane industry |
title_short | A Pesticide Decision Support Tool to guide the selection of less environmentally harmful pesticides for the sugar cane industry |
title_sort | pesticide decision support tool to guide the selection of less environmentally harmful pesticides for the sugar cane industry |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10611884/ https://www.ncbi.nlm.nih.gov/pubmed/37747608 http://dx.doi.org/10.1007/s11356-023-29814-w |
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