Herbicide resistance across the Australian continent
BACKGROUND Lolium rigidum is the weed of greatest economic impact in Australia due to its formidable capacity to evolve herbicide resistance. In this study, 579 field‐sampled L. rigidum populations were tested for resistance to 21 herbicides applied at the recommended rate. Nine herbicide treatments...
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Veröffentlicht in: | Pest management science 2021-11, Vol.77 (11), p.5139-5148 |
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creator | Busi, Roberto Beckie, Hugh J Bates, Andy Boyes, Tim Davey, Chris Haskins, Barry Mock, Simon Newman, Peter Porri, Aimone Onofri, Andrea |
description | BACKGROUND
Lolium rigidum is the weed of greatest economic impact in Australia due to its formidable capacity to evolve herbicide resistance. In this study, 579 field‐sampled L. rigidum populations were tested for resistance to 21 herbicides applied at the recommended rate. Nine herbicide treatments were binary mixtures.
RESULTS
A total of 15 876 individual resistance tests were conducted by screening two million seeds at the recommended label rate. The overall frequency of resistant populations was 31%, 14%, 71%, 6% and 0% in response to the post‐emergence herbicide treatments clethodim, clethodim + butroxydim, imazamox + imazapyr, glyphosate and paraquat, respectively. The resistance frequency to stand‐alone pre‐emergence wheat‐selective herbicides ranged from 10% to 34%. Conversely, the levels of resistance to pre‐emergence mixtures or stand‐alone propyzamide were significantly lower, ranging from 6% to 0%. In winter, the responses to glyphosate, paraquat, cinmethylin, prosulfocarb, pyroxasulfone and trifluralin were reassessed, with 7%, 0%, 0%, 21%, 21% and 28% as the respective resistance frequencies. South Australia and Victoria are identified as epicenters for L. rigidum population resistance to pyroxasulfone, whereas populations in New South Wales have the greatest resistance to glyphosate and in Western Australia to clethodim.
CONCLUSIONS
For the first time, resistance levels to stand‐alone herbicides and binary mixtures are geographically ranked across the Australian continent by benchmark statistical analysis of resistance frequencies and distribution. The extension of these results will raise awareness of rapidly emerging patterns of herbicide resistance, encouraging the adoption of cost‐effective modes of action and integration of diverse strategies for weed resistance management.
This study reports herbicide resistance levels to stand‐alone herbicides and binary mixtures across the Australian continent and provides benchmark statistical analysis of resistance frequencies and distribution.
© 2021 Society of Chemical Industry. |
doi_str_mv | 10.1002/ps.6554 |
format | Article |
fullrecord | <record><control><sourceid>proquest_wiley</sourceid><recordid>TN_cdi_proquest_miscellaneous_2552060821</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2579280452</sourcerecordid><originalsourceid>FETCH-LOGICAL-p2524-2dd620c0d7c19d6d668a0add33870f49be4badbdfb9941cf89c623d9bb2a1ae53</originalsourceid><addsrcrecordid>eNpd0M1KAzEUBeAgCtYqvsKAG0GmJneSNFmWYq1QUFDBXcjfYMo0MyYzSN_eKRUXrs5dfBwuB6FrgmcEY7jv8owzRk_QhDDgJZVSnP7d4uMcXeS8xRhLKWGC6NonE2xwvkg-h9zraH2hbWpzLvpPXyyG3CfdBB0L28Y-RB_7S3RW6yb7q9-covfVw9tyXW6eH5-Wi03ZAQNagnMcsMVubol03HEuNNbOVZWY45pK46nRzrjaSEmJrYW0HConjQFNtGfVFN0ee7vUfg0-92oXsvVNo6Nvh6yAMcAcCyAjvflHt-2Q4vjdqOYSBKYMRnV3VN-h8XvVpbDTaa8IVofpVJfVYTr18nqI6geSQ2Ig</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2579280452</pqid></control><display><type>article</type><title>Herbicide resistance across the Australian continent</title><source>Access via Wiley Online Library</source><creator>Busi, Roberto ; Beckie, Hugh J ; Bates, Andy ; Boyes, Tim ; Davey, Chris ; Haskins, Barry ; Mock, Simon ; Newman, Peter ; Porri, Aimone ; Onofri, Andrea</creator><creatorcontrib>Busi, Roberto ; Beckie, Hugh J ; Bates, Andy ; Boyes, Tim ; Davey, Chris ; Haskins, Barry ; Mock, Simon ; Newman, Peter ; Porri, Aimone ; Onofri, Andrea</creatorcontrib><description>BACKGROUND
Lolium rigidum is the weed of greatest economic impact in Australia due to its formidable capacity to evolve herbicide resistance. In this study, 579 field‐sampled L. rigidum populations were tested for resistance to 21 herbicides applied at the recommended rate. Nine herbicide treatments were binary mixtures.
RESULTS
A total of 15 876 individual resistance tests were conducted by screening two million seeds at the recommended label rate. The overall frequency of resistant populations was 31%, 14%, 71%, 6% and 0% in response to the post‐emergence herbicide treatments clethodim, clethodim + butroxydim, imazamox + imazapyr, glyphosate and paraquat, respectively. The resistance frequency to stand‐alone pre‐emergence wheat‐selective herbicides ranged from 10% to 34%. Conversely, the levels of resistance to pre‐emergence mixtures or stand‐alone propyzamide were significantly lower, ranging from 6% to 0%. In winter, the responses to glyphosate, paraquat, cinmethylin, prosulfocarb, pyroxasulfone and trifluralin were reassessed, with 7%, 0%, 0%, 21%, 21% and 28% as the respective resistance frequencies. South Australia and Victoria are identified as epicenters for L. rigidum population resistance to pyroxasulfone, whereas populations in New South Wales have the greatest resistance to glyphosate and in Western Australia to clethodim.
CONCLUSIONS
For the first time, resistance levels to stand‐alone herbicides and binary mixtures are geographically ranked across the Australian continent by benchmark statistical analysis of resistance frequencies and distribution. The extension of these results will raise awareness of rapidly emerging patterns of herbicide resistance, encouraging the adoption of cost‐effective modes of action and integration of diverse strategies for weed resistance management.
This study reports herbicide resistance levels to stand‐alone herbicides and binary mixtures across the Australian continent and provides benchmark statistical analysis of resistance frequencies and distribution.
© 2021 Society of Chemical Industry.</description><identifier>ISSN: 1526-498X</identifier><identifier>EISSN: 1526-4998</identifier><identifier>DOI: 10.1002/ps.6554</identifier><language>eng</language><publisher>Chichester, UK: John Wiley & Sons, Ltd</publisher><subject>Binary mixtures ; Economic impact ; Glyphosate ; herbicide mixtures ; Herbicide resistance ; herbicide selection ; herbicide technology ; Herbicides ; Impact analysis ; Lolium rigidum ; Paraquat ; Populations ; resistance survey ; resistance test ; Seeds ; Statistical analysis ; Trifluralin ; weed control</subject><ispartof>Pest management science, 2021-11, Vol.77 (11), p.5139-5148</ispartof><rights>2021 Society of Chemical Industry.</rights><rights>Copyright © 2021 Society of Chemical Industry</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><orcidid>0000-0002-6603-329X ; 0000-0002-2659-2265 ; 0000-0002-9022-2111</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fps.6554$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fps.6554$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,780,784,1417,27924,27925,45574,45575</link.rule.ids></links><search><creatorcontrib>Busi, Roberto</creatorcontrib><creatorcontrib>Beckie, Hugh J</creatorcontrib><creatorcontrib>Bates, Andy</creatorcontrib><creatorcontrib>Boyes, Tim</creatorcontrib><creatorcontrib>Davey, Chris</creatorcontrib><creatorcontrib>Haskins, Barry</creatorcontrib><creatorcontrib>Mock, Simon</creatorcontrib><creatorcontrib>Newman, Peter</creatorcontrib><creatorcontrib>Porri, Aimone</creatorcontrib><creatorcontrib>Onofri, Andrea</creatorcontrib><title>Herbicide resistance across the Australian continent</title><title>Pest management science</title><description>BACKGROUND
Lolium rigidum is the weed of greatest economic impact in Australia due to its formidable capacity to evolve herbicide resistance. In this study, 579 field‐sampled L. rigidum populations were tested for resistance to 21 herbicides applied at the recommended rate. Nine herbicide treatments were binary mixtures.
RESULTS
A total of 15 876 individual resistance tests were conducted by screening two million seeds at the recommended label rate. The overall frequency of resistant populations was 31%, 14%, 71%, 6% and 0% in response to the post‐emergence herbicide treatments clethodim, clethodim + butroxydim, imazamox + imazapyr, glyphosate and paraquat, respectively. The resistance frequency to stand‐alone pre‐emergence wheat‐selective herbicides ranged from 10% to 34%. Conversely, the levels of resistance to pre‐emergence mixtures or stand‐alone propyzamide were significantly lower, ranging from 6% to 0%. In winter, the responses to glyphosate, paraquat, cinmethylin, prosulfocarb, pyroxasulfone and trifluralin were reassessed, with 7%, 0%, 0%, 21%, 21% and 28% as the respective resistance frequencies. South Australia and Victoria are identified as epicenters for L. rigidum population resistance to pyroxasulfone, whereas populations in New South Wales have the greatest resistance to glyphosate and in Western Australia to clethodim.
CONCLUSIONS
For the first time, resistance levels to stand‐alone herbicides and binary mixtures are geographically ranked across the Australian continent by benchmark statistical analysis of resistance frequencies and distribution. The extension of these results will raise awareness of rapidly emerging patterns of herbicide resistance, encouraging the adoption of cost‐effective modes of action and integration of diverse strategies for weed resistance management.
This study reports herbicide resistance levels to stand‐alone herbicides and binary mixtures across the Australian continent and provides benchmark statistical analysis of resistance frequencies and distribution.
© 2021 Society of Chemical Industry.</description><subject>Binary mixtures</subject><subject>Economic impact</subject><subject>Glyphosate</subject><subject>herbicide mixtures</subject><subject>Herbicide resistance</subject><subject>herbicide selection</subject><subject>herbicide technology</subject><subject>Herbicides</subject><subject>Impact analysis</subject><subject>Lolium rigidum</subject><subject>Paraquat</subject><subject>Populations</subject><subject>resistance survey</subject><subject>resistance test</subject><subject>Seeds</subject><subject>Statistical analysis</subject><subject>Trifluralin</subject><subject>weed control</subject><issn>1526-498X</issn><issn>1526-4998</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><recordid>eNpd0M1KAzEUBeAgCtYqvsKAG0GmJneSNFmWYq1QUFDBXcjfYMo0MyYzSN_eKRUXrs5dfBwuB6FrgmcEY7jv8owzRk_QhDDgJZVSnP7d4uMcXeS8xRhLKWGC6NonE2xwvkg-h9zraH2hbWpzLvpPXyyG3CfdBB0L28Y-RB_7S3RW6yb7q9-covfVw9tyXW6eH5-Wi03ZAQNagnMcsMVubol03HEuNNbOVZWY45pK46nRzrjaSEmJrYW0HConjQFNtGfVFN0ee7vUfg0-92oXsvVNo6Nvh6yAMcAcCyAjvflHt-2Q4vjdqOYSBKYMRnV3VN-h8XvVpbDTaa8IVofpVJfVYTr18nqI6geSQ2Ig</recordid><startdate>202111</startdate><enddate>202111</enddate><creator>Busi, Roberto</creator><creator>Beckie, Hugh J</creator><creator>Bates, Andy</creator><creator>Boyes, Tim</creator><creator>Davey, Chris</creator><creator>Haskins, Barry</creator><creator>Mock, Simon</creator><creator>Newman, Peter</creator><creator>Porri, Aimone</creator><creator>Onofri, Andrea</creator><general>John Wiley & Sons, Ltd</general><general>Wiley Subscription Services, Inc</general><scope>7QR</scope><scope>7SS</scope><scope>7ST</scope><scope>7T7</scope><scope>7U7</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>P64</scope><scope>SOI</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-6603-329X</orcidid><orcidid>https://orcid.org/0000-0002-2659-2265</orcidid><orcidid>https://orcid.org/0000-0002-9022-2111</orcidid></search><sort><creationdate>202111</creationdate><title>Herbicide resistance across the Australian continent</title><author>Busi, Roberto ; Beckie, Hugh J ; Bates, Andy ; Boyes, Tim ; Davey, Chris ; Haskins, Barry ; Mock, Simon ; Newman, Peter ; Porri, Aimone ; Onofri, Andrea</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-p2524-2dd620c0d7c19d6d668a0add33870f49be4badbdfb9941cf89c623d9bb2a1ae53</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Binary mixtures</topic><topic>Economic impact</topic><topic>Glyphosate</topic><topic>herbicide mixtures</topic><topic>Herbicide resistance</topic><topic>herbicide selection</topic><topic>herbicide technology</topic><topic>Herbicides</topic><topic>Impact analysis</topic><topic>Lolium rigidum</topic><topic>Paraquat</topic><topic>Populations</topic><topic>resistance survey</topic><topic>resistance test</topic><topic>Seeds</topic><topic>Statistical analysis</topic><topic>Trifluralin</topic><topic>weed control</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Busi, Roberto</creatorcontrib><creatorcontrib>Beckie, Hugh J</creatorcontrib><creatorcontrib>Bates, Andy</creatorcontrib><creatorcontrib>Boyes, Tim</creatorcontrib><creatorcontrib>Davey, Chris</creatorcontrib><creatorcontrib>Haskins, Barry</creatorcontrib><creatorcontrib>Mock, Simon</creatorcontrib><creatorcontrib>Newman, Peter</creatorcontrib><creatorcontrib>Porri, Aimone</creatorcontrib><creatorcontrib>Onofri, Andrea</creatorcontrib><collection>Chemoreception Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Environment Abstracts</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Toxicology Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environment Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Pest management science</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Busi, Roberto</au><au>Beckie, Hugh J</au><au>Bates, Andy</au><au>Boyes, Tim</au><au>Davey, Chris</au><au>Haskins, Barry</au><au>Mock, Simon</au><au>Newman, Peter</au><au>Porri, Aimone</au><au>Onofri, Andrea</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Herbicide resistance across the Australian continent</atitle><jtitle>Pest management science</jtitle><date>2021-11</date><risdate>2021</risdate><volume>77</volume><issue>11</issue><spage>5139</spage><epage>5148</epage><pages>5139-5148</pages><issn>1526-498X</issn><eissn>1526-4998</eissn><abstract>BACKGROUND
Lolium rigidum is the weed of greatest economic impact in Australia due to its formidable capacity to evolve herbicide resistance. In this study, 579 field‐sampled L. rigidum populations were tested for resistance to 21 herbicides applied at the recommended rate. Nine herbicide treatments were binary mixtures.
RESULTS
A total of 15 876 individual resistance tests were conducted by screening two million seeds at the recommended label rate. The overall frequency of resistant populations was 31%, 14%, 71%, 6% and 0% in response to the post‐emergence herbicide treatments clethodim, clethodim + butroxydim, imazamox + imazapyr, glyphosate and paraquat, respectively. The resistance frequency to stand‐alone pre‐emergence wheat‐selective herbicides ranged from 10% to 34%. Conversely, the levels of resistance to pre‐emergence mixtures or stand‐alone propyzamide were significantly lower, ranging from 6% to 0%. In winter, the responses to glyphosate, paraquat, cinmethylin, prosulfocarb, pyroxasulfone and trifluralin were reassessed, with 7%, 0%, 0%, 21%, 21% and 28% as the respective resistance frequencies. South Australia and Victoria are identified as epicenters for L. rigidum population resistance to pyroxasulfone, whereas populations in New South Wales have the greatest resistance to glyphosate and in Western Australia to clethodim.
CONCLUSIONS
For the first time, resistance levels to stand‐alone herbicides and binary mixtures are geographically ranked across the Australian continent by benchmark statistical analysis of resistance frequencies and distribution. The extension of these results will raise awareness of rapidly emerging patterns of herbicide resistance, encouraging the adoption of cost‐effective modes of action and integration of diverse strategies for weed resistance management.
This study reports herbicide resistance levels to stand‐alone herbicides and binary mixtures across the Australian continent and provides benchmark statistical analysis of resistance frequencies and distribution.
© 2021 Society of Chemical Industry.</abstract><cop>Chichester, UK</cop><pub>John Wiley & Sons, Ltd</pub><doi>10.1002/ps.6554</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0002-6603-329X</orcidid><orcidid>https://orcid.org/0000-0002-2659-2265</orcidid><orcidid>https://orcid.org/0000-0002-9022-2111</orcidid></addata></record> |
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subjects | Binary mixtures Economic impact Glyphosate herbicide mixtures Herbicide resistance herbicide selection herbicide technology Herbicides Impact analysis Lolium rigidum Paraquat Populations resistance survey resistance test Seeds Statistical analysis Trifluralin weed control |
title | Herbicide resistance across the Australian continent |
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