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Visual modelling can optimise sticky trap design for simultaneous monitoring of multiple species of insect pests
Scientific Reports, Volume: 15, Start page: 17280
Swansea University Authors:
Natalie Roberts, Tariq Butt , Farooq Shah, William Allen
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DOI (Published version): 10.1038/s41598-025-01954-8
Abstract
Coloured sticky traps are commonly used to monitor insect pests. Colour affects trap performance, with preferred colours often differing between species, making selection of trap colour for effective management of multiple pests challenging. Greenhouse whitefly (GWF) Trialeurodes vaporariorum and We...
| Published in: | Scientific Reports |
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| ISSN: | 2045-2322 |
| Published: |
Springer Nature
2025
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| URI: | https://cronfa.swan.ac.uk/Record/cronfa69551 |
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2025-05-22T11:40:01Z |
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2025-05-23T06:01:14Z |
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<?xml version="1.0"?><rfc1807><datestamp>2025-05-22T15:10:56.5930860</datestamp><bib-version>v2</bib-version><id>69551</id><entry>2025-05-22</entry><title>Visual modelling can optimise sticky trap design for simultaneous monitoring of multiple species of insect pests</title><swanseaauthors><author><sid>8a429bd7bdcfa5cdb270b374f3b4c242</sid><firstname>Natalie</firstname><surname>Roberts</surname><name>Natalie Roberts</name><active>true</active><ethesisStudent>false</ethesisStudent></author><author><sid>85d1c2ddde272a1176e74978e25ebece</sid><ORCID>0000-0002-8789-9543</ORCID><firstname>Tariq</firstname><surname>Butt</surname><name>Tariq Butt</name><active>true</active><ethesisStudent>false</ethesisStudent></author><author><sid>c4897382528d548881f3b9e9168ede6d</sid><firstname>Farooq</firstname><surname>Shah</surname><name>Farooq Shah</name><active>true</active><ethesisStudent>false</ethesisStudent></author><author><sid>d6f01dd06d25fa8804daad86e251b8a5</sid><ORCID>0000-0003-2654-0438</ORCID><firstname>William</firstname><surname>Allen</surname><name>William Allen</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2025-05-22</date><deptcode>BGPS</deptcode><abstract>Coloured sticky traps are commonly used to monitor insect pests. Colour affects trap performance, with preferred colours often differing between species, making selection of trap colour for effective management of multiple pests challenging. Greenhouse whitefly (GWF) Trialeurodes vaporariorum and Western flower thrips (WFT) Frankliniella occidentalis, are major horticultural pests that often co-occur. Yellow colours are attractive to GWF, while blue is often used to target WFT, although WFT are also attracted to yellow colours. The visual mechanisms that make yellow colours attractive to either species are poorly understood. Previous experiments in WFT find that visual modelling of an opponent mechanism between short wavelength sensitive (SWS) and long wavelength sensitive (LWS) photoreceptors optimises the performance of blue sticky traps. In the current study, we assess whether an opponent response that highly stimulates LWS relative to SWS photoreceptors predicts the attractiveness of yellow sticky cards to both WFT and GWF. Our results showed that yellow sticky cards that maximize a predicted SWS:LWS opponent mechanism improves capture for both species. Further, optimising the SWS:LWS ratio allowed for simultaneous monitoring of both pest species using single colour cards. We also showed that sticky trap colour and luminance are comparable across different lab and field contexts, highlighting the broad applicability of visual modelling in pest management strategies.</abstract><type>Journal Article</type><journal>Scientific Reports</journal><volume>15</volume><journalNumber/><paginationStart>17280</paginationStart><paginationEnd/><publisher>Springer Nature</publisher><placeOfPublication/><isbnPrint/><isbnElectronic/><issnPrint/><issnElectronic>2045-2322</issnElectronic><keywords>Vision; Integrated pest management; Frankliniella occidentalis; Trialeurodes vaporariorum; Thrips; Whitefly</keywords><publishedDay>19</publishedDay><publishedMonth>5</publishedMonth><publishedYear>2025</publishedYear><publishedDate>2025-05-19</publishedDate><doi>10.1038/s41598-025-01954-8</doi><url/><notes/><college>COLLEGE NANME</college><department>Biosciences Geography and Physics School</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>BGPS</DepartmentCode><institution>Swansea University</institution><apcterm>External research funder(s) paid the OA fee (includes OA grants disbursed by the Library)</apcterm><funders>This work was supported by the Biotechnology and Biological Sciences Research Council [grant number BB/X011763/1] and by a 100/2000 CoHE PhD Scholarship awarded to TÖ.</funders><projectreference/><lastEdited>2025-05-22T15:10:56.5930860</lastEdited><Created>2025-05-22T12:34:34.9760549</Created><path><level id="1">Faculty of Science and Engineering</level><level id="2">School of Biosciences, Geography and Physics - Biosciences</level></path><authors><author><firstname>Natalie</firstname><surname>Roberts</surname><order>1</order></author><author><firstname>Jean Claude</firstname><surname>Ndayiragije</surname><order>2</order></author><author><firstname>Tuğçe</firstname><surname>Özek</surname><order>3</order></author><author><firstname>Tariq</firstname><surname>Butt</surname><orcid>0000-0002-8789-9543</orcid><order>4</order></author><author><firstname>İsmail</firstname><surname>Karaca</surname><order>5</order></author><author><firstname>Farooq</firstname><surname>Shah</surname><order>6</order></author><author><firstname>William</firstname><surname>Allen</surname><orcid>0000-0003-2654-0438</orcid><order>7</order></author></authors><documents><document><filename>69551__34335__217e6aa4b2534524b0d6244ee83691df.pdf</filename><originalFilename>69551.VOR.pdf</originalFilename><uploaded>2025-05-22T15:08:45.1455090</uploaded><type>Output</type><contentLength>1824355</contentLength><contentType>application/pdf</contentType><version>Version of Record</version><cronfaStatus>true</cronfaStatus><documentNotes>© The Author(s) 2025. 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2025-05-22T15:10:56.5930860 v2 69551 2025-05-22 Visual modelling can optimise sticky trap design for simultaneous monitoring of multiple species of insect pests 8a429bd7bdcfa5cdb270b374f3b4c242 Natalie Roberts Natalie Roberts true false 85d1c2ddde272a1176e74978e25ebece 0000-0002-8789-9543 Tariq Butt Tariq Butt true false c4897382528d548881f3b9e9168ede6d Farooq Shah Farooq Shah true false d6f01dd06d25fa8804daad86e251b8a5 0000-0003-2654-0438 William Allen William Allen true false 2025-05-22 BGPS Coloured sticky traps are commonly used to monitor insect pests. Colour affects trap performance, with preferred colours often differing between species, making selection of trap colour for effective management of multiple pests challenging. Greenhouse whitefly (GWF) Trialeurodes vaporariorum and Western flower thrips (WFT) Frankliniella occidentalis, are major horticultural pests that often co-occur. Yellow colours are attractive to GWF, while blue is often used to target WFT, although WFT are also attracted to yellow colours. The visual mechanisms that make yellow colours attractive to either species are poorly understood. Previous experiments in WFT find that visual modelling of an opponent mechanism between short wavelength sensitive (SWS) and long wavelength sensitive (LWS) photoreceptors optimises the performance of blue sticky traps. In the current study, we assess whether an opponent response that highly stimulates LWS relative to SWS photoreceptors predicts the attractiveness of yellow sticky cards to both WFT and GWF. Our results showed that yellow sticky cards that maximize a predicted SWS:LWS opponent mechanism improves capture for both species. Further, optimising the SWS:LWS ratio allowed for simultaneous monitoring of both pest species using single colour cards. We also showed that sticky trap colour and luminance are comparable across different lab and field contexts, highlighting the broad applicability of visual modelling in pest management strategies. Journal Article Scientific Reports 15 17280 Springer Nature 2045-2322 Vision; Integrated pest management; Frankliniella occidentalis; Trialeurodes vaporariorum; Thrips; Whitefly 19 5 2025 2025-05-19 10.1038/s41598-025-01954-8 COLLEGE NANME Biosciences Geography and Physics School COLLEGE CODE BGPS Swansea University External research funder(s) paid the OA fee (includes OA grants disbursed by the Library) This work was supported by the Biotechnology and Biological Sciences Research Council [grant number BB/X011763/1] and by a 100/2000 CoHE PhD Scholarship awarded to TÖ. 2025-05-22T15:10:56.5930860 2025-05-22T12:34:34.9760549 Faculty of Science and Engineering School of Biosciences, Geography and Physics - Biosciences Natalie Roberts 1 Jean Claude Ndayiragije 2 Tuğçe Özek 3 Tariq Butt 0000-0002-8789-9543 4 İsmail Karaca 5 Farooq Shah 6 William Allen 0000-0003-2654-0438 7 69551__34335__217e6aa4b2534524b0d6244ee83691df.pdf 69551.VOR.pdf 2025-05-22T15:08:45.1455090 Output 1824355 application/pdf Version of Record true © The Author(s) 2025. This article is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0). true eng http://creativecommons.org/licenses/by/4.0/ |
| title |
Visual modelling can optimise sticky trap design for simultaneous monitoring of multiple species of insect pests |
| spellingShingle |
Visual modelling can optimise sticky trap design for simultaneous monitoring of multiple species of insect pests Natalie Roberts Tariq Butt Farooq Shah William Allen |
| title_short |
Visual modelling can optimise sticky trap design for simultaneous monitoring of multiple species of insect pests |
| title_full |
Visual modelling can optimise sticky trap design for simultaneous monitoring of multiple species of insect pests |
| title_fullStr |
Visual modelling can optimise sticky trap design for simultaneous monitoring of multiple species of insect pests |
| title_full_unstemmed |
Visual modelling can optimise sticky trap design for simultaneous monitoring of multiple species of insect pests |
| title_sort |
Visual modelling can optimise sticky trap design for simultaneous monitoring of multiple species of insect pests |
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8a429bd7bdcfa5cdb270b374f3b4c242 85d1c2ddde272a1176e74978e25ebece c4897382528d548881f3b9e9168ede6d d6f01dd06d25fa8804daad86e251b8a5 |
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8a429bd7bdcfa5cdb270b374f3b4c242_***_Natalie Roberts 85d1c2ddde272a1176e74978e25ebece_***_Tariq Butt c4897382528d548881f3b9e9168ede6d_***_Farooq Shah d6f01dd06d25fa8804daad86e251b8a5_***_William Allen |
| author |
Natalie Roberts Tariq Butt Farooq Shah William Allen |
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Natalie Roberts Jean Claude Ndayiragije Tuğçe Özek Tariq Butt İsmail Karaca Farooq Shah William Allen |
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Scientific Reports |
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2045-2322 |
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10.1038/s41598-025-01954-8 |
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Springer Nature |
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Coloured sticky traps are commonly used to monitor insect pests. Colour affects trap performance, with preferred colours often differing between species, making selection of trap colour for effective management of multiple pests challenging. Greenhouse whitefly (GWF) Trialeurodes vaporariorum and Western flower thrips (WFT) Frankliniella occidentalis, are major horticultural pests that often co-occur. Yellow colours are attractive to GWF, while blue is often used to target WFT, although WFT are also attracted to yellow colours. The visual mechanisms that make yellow colours attractive to either species are poorly understood. Previous experiments in WFT find that visual modelling of an opponent mechanism between short wavelength sensitive (SWS) and long wavelength sensitive (LWS) photoreceptors optimises the performance of blue sticky traps. In the current study, we assess whether an opponent response that highly stimulates LWS relative to SWS photoreceptors predicts the attractiveness of yellow sticky cards to both WFT and GWF. Our results showed that yellow sticky cards that maximize a predicted SWS:LWS opponent mechanism improves capture for both species. Further, optimising the SWS:LWS ratio allowed for simultaneous monitoring of both pest species using single colour cards. We also showed that sticky trap colour and luminance are comparable across different lab and field contexts, highlighting the broad applicability of visual modelling in pest management strategies. |
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2025-05-19T05:29:57Z |
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