Visual modelling can optimise the appearance and capture efficiency of sticky traps used to manage insect pests

Dearden, Alex; Wood, Martyn; Frend, Henry; Butt, Tariq; Allen, William; DEARDEN, ALEXANDER

doi:10.1007/s10340-023-01604-w

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Visual modelling can optimise the appearance and capture efficiency of sticky traps used to manage insect pests

Alex Dearden, Martyn Wood, Henry Frend, Tariq Butt

, William Allen

, ALEXANDER DEARDEN

Journal of Pest Science, Volume: 96, Issue: 2

Swansea University Authors: Alex Dearden, Martyn Wood, Henry Frend, Tariq Butt , William Allen , ALEXANDER DEARDEN

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DOI (Published version): 10.1007/s10340-023-01604-w

Abstract

Sticky traps are one of the most important tools for monitoring and mass trapping of insect pests. Their effectiveness depends on attracting and capturing target pests efficiently. Trap colour strongly affects capture rates, but currently a principled approach to identifying optimal trap colour for...

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Published in:	Journal of Pest Science
ISSN:	1612-4758 1612-4766
Published:	Springer Science and Business Media LLC 2023
Online Access:	Check full text
URI:	https://cronfa.swan.ac.uk/Record/cronfa62758
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first_indexed	2023-02-27T13:19:30Z
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Their effectiveness depends on attracting and capturing target pests efficiently. Trap colour strongly affects capture rates, but currently a principled approach to identifying optimal trap colour for a given pest and growing context is lacking. Here we propose that modelling pest colour vision enables identification of trap colours that optimise pest capture rates. We test this novel approach to trap design in field trials on Western flower thrips (WFT) Frankiniella occidentalis, an economically damaging pest of agriculture and horticulture worldwide. Prior studies have reported that WFT prefer blue and yellow sticky traps, aligning with recent evidence that WFT have trichromatic colour vision with peak sensitivities in the UV, blue and green portion of the visual spectrum and a blue-green colour opponent mechanism. Therefore, we hypothesised that a shade of blue that maximally stimulates the blue photoreceptor whilst minimally stimulating the green photoreceptor would improve sticky trap capture rates, while a shade of blue that decreased the opponent response would reduce capture rates. In three field experiments, we found strong support for this hypothesis: the optimised blue colour captured 1.3–2.6 times more WFT than current commercial trap colours. Our results also demonstrated that visual modelling can identify optimally contrasting colours for two-colour traps that further improve capture rates. This study provides a novel and principled approach to the design of visual traps that could be extended to other pest management contexts.</abstract><type>Journal Article</type><journal>Journal of Pest Science</journal><volume>96</volume><journalNumber>2</journalNumber><paginationStart/><paginationEnd/><publisher>Springer Science and Business Media LLC</publisher><placeOfPublication/><isbnPrint/><isbnElectronic/><issnPrint>1612-4758</issnPrint><issnElectronic>1612-4766</issnElectronic><keywords/><publishedDay>1</publishedDay><publishedMonth>6</publishedMonth><publishedYear>2023</publishedYear><publishedDate>2023-06-01</publishedDate><doi>10.1007/s10340-023-01604-w</doi><url>http://dx.doi.org/10.1007/s10340-023-01604-w</url><notes/><college>COLLEGE NANME</college><department>Health Data Science</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>HDAT</DepartmentCode><institution>Swansea University</institution><apcterm>SU Library paid the OA fee (TA Institutional Deal)</apcterm><funders>The authors would like to thank W. B. Chambers and E. C. Drummond for providing polytunnels, support and information throughout the studies. We would also like to thank Agrisense Ltd. and Razbio Ltd. for providing blue sticky traps and Thrips Charm lures, respectively. 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spelling	v2 62758 2023-02-27 Visual modelling can optimise the appearance and capture efficiency of sticky traps used to manage insect pests 4386276ca8a14b9b73fbcb9e69ea1527 Alex Dearden Alex Dearden true false a5b65490dddd5e965ab6623bc2c7022d Martyn Wood Martyn Wood true false cdc3ca00d393b1a316d3432f530dffe7 Henry Frend Henry Frend true false 85d1c2ddde272a1176e74978e25ebece 0000-0002-8789-9543 Tariq Butt Tariq Butt true false d6f01dd06d25fa8804daad86e251b8a5 0000-0003-2654-0438 William Allen William Allen true false d9aadd34498f26eb73bfdb799434ae86 ALEXANDER DEARDEN ALEXANDER DEARDEN true false 2023-02-27 HDAT Sticky traps are one of the most important tools for monitoring and mass trapping of insect pests. Their effectiveness depends on attracting and capturing target pests efficiently. Trap colour strongly affects capture rates, but currently a principled approach to identifying optimal trap colour for a given pest and growing context is lacking. Here we propose that modelling pest colour vision enables identification of trap colours that optimise pest capture rates. We test this novel approach to trap design in field trials on Western flower thrips (WFT) Frankiniella occidentalis, an economically damaging pest of agriculture and horticulture worldwide. Prior studies have reported that WFT prefer blue and yellow sticky traps, aligning with recent evidence that WFT have trichromatic colour vision with peak sensitivities in the UV, blue and green portion of the visual spectrum and a blue-green colour opponent mechanism. Therefore, we hypothesised that a shade of blue that maximally stimulates the blue photoreceptor whilst minimally stimulating the green photoreceptor would improve sticky trap capture rates, while a shade of blue that decreased the opponent response would reduce capture rates. In three field experiments, we found strong support for this hypothesis: the optimised blue colour captured 1.3–2.6 times more WFT than current commercial trap colours. Our results also demonstrated that visual modelling can identify optimally contrasting colours for two-colour traps that further improve capture rates. This study provides a novel and principled approach to the design of visual traps that could be extended to other pest management contexts. Journal Article Journal of Pest Science 96 2 Springer Science and Business Media LLC 1612-4758 1612-4766 1 6 2023 2023-06-01 10.1007/s10340-023-01604-w http://dx.doi.org/10.1007/s10340-023-01604-w COLLEGE NANME Health Data Science COLLEGE CODE HDAT Swansea University SU Library paid the OA fee (TA Institutional Deal) The authors would like to thank W. B. Chambers and E. C. Drummond for providing polytunnels, support and information throughout the studies. We would also like to thank Agrisense Ltd. and Razbio Ltd. for providing blue sticky traps and Thrips Charm lures, respectively. Thank you also Jem Print for facilitating our colour swatch and trap production requirements throughout our long association. 2023-06-01T16:13:13.5162271 2023-02-27T13:16:39.9069029 Faculty of Science and Engineering School of Biosciences, Geography and Physics - Biosciences Alex Dearden 1 Martyn Wood 2 Henry Frend 3 Tariq Butt 0000-0002-8789-9543 4 William Allen 0000-0003-2654-0438 5 ALEXANDER DEARDEN 6 62758__26923__996134a0b16d482ba474f60da2ce153a.pdf 62758.pdf 2023-03-24T09:05:33.0173180 Output 1358633 application/pdf Version of Record true 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. true eng http://creativecommons.org/licenses/by/4.0/
title	Visual modelling can optimise the appearance and capture efficiency of sticky traps used to manage insect pests
spellingShingle	Visual modelling can optimise the appearance and capture efficiency of sticky traps used to manage insect pests Alex Dearden Martyn Wood Henry Frend Tariq Butt William Allen ALEXANDER DEARDEN
title_short	Visual modelling can optimise the appearance and capture efficiency of sticky traps used to manage insect pests
title_full	Visual modelling can optimise the appearance and capture efficiency of sticky traps used to manage insect pests
title_fullStr	Visual modelling can optimise the appearance and capture efficiency of sticky traps used to manage insect pests
title_full_unstemmed	Visual modelling can optimise the appearance and capture efficiency of sticky traps used to manage insect pests
title_sort	Visual modelling can optimise the appearance and capture efficiency of sticky traps used to manage insect pests
author_id_str_mv	4386276ca8a14b9b73fbcb9e69ea1527 a5b65490dddd5e965ab6623bc2c7022d cdc3ca00d393b1a316d3432f530dffe7 85d1c2ddde272a1176e74978e25ebece d6f01dd06d25fa8804daad86e251b8a5 d9aadd34498f26eb73bfdb799434ae86
author_id_fullname_str_mv	4386276ca8a14b9b73fbcb9e69ea1527_*_Alex Dearden a5b65490dddd5e965ab6623bc2c7022d__Martyn Wood cdc3ca00d393b1a316d3432f530dffe7__Henry Frend 85d1c2ddde272a1176e74978e25ebece__Tariq Butt d6f01dd06d25fa8804daad86e251b8a5__William Allen d9aadd34498f26eb73bfdb799434ae86_*_ALEXANDER DEARDEN
author	Alex Dearden Martyn Wood Henry Frend Tariq Butt William Allen ALEXANDER DEARDEN
author2	Alex Dearden Martyn Wood Henry Frend Tariq Butt William Allen ALEXANDER DEARDEN
format	Journal article
container_title	Journal of Pest Science
container_volume	96
container_issue	2
publishDate	2023
institution	Swansea University
issn	1612-4758 1612-4766
doi_str_mv	10.1007/s10340-023-01604-w
publisher	Springer Science and Business Media LLC
college_str	Faculty of Science and Engineering
hierarchytype
hierarchy_top_id	facultyofscienceandengineering
hierarchy_top_title	Faculty of Science and Engineering
hierarchy_parent_id	facultyofscienceandengineering
hierarchy_parent_title	Faculty of Science and Engineering
department_str	School of Biosciences, Geography and Physics - Biosciences{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Biosciences, Geography and Physics - Biosciences
url	http://dx.doi.org/10.1007/s10340-023-01604-w
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description	Sticky traps are one of the most important tools for monitoring and mass trapping of insect pests. Their effectiveness depends on attracting and capturing target pests efficiently. Trap colour strongly affects capture rates, but currently a principled approach to identifying optimal trap colour for a given pest and growing context is lacking. Here we propose that modelling pest colour vision enables identification of trap colours that optimise pest capture rates. We test this novel approach to trap design in field trials on Western flower thrips (WFT) Frankiniella occidentalis, an economically damaging pest of agriculture and horticulture worldwide. Prior studies have reported that WFT prefer blue and yellow sticky traps, aligning with recent evidence that WFT have trichromatic colour vision with peak sensitivities in the UV, blue and green portion of the visual spectrum and a blue-green colour opponent mechanism. Therefore, we hypothesised that a shade of blue that maximally stimulates the blue photoreceptor whilst minimally stimulating the green photoreceptor would improve sticky trap capture rates, while a shade of blue that decreased the opponent response would reduce capture rates. In three field experiments, we found strong support for this hypothesis: the optimised blue colour captured 1.3–2.6 times more WFT than current commercial trap colours. Our results also demonstrated that visual modelling can identify optimally contrasting colours for two-colour traps that further improve capture rates. This study provides a novel and principled approach to the design of visual traps that could be extended to other pest management contexts.
published_date	2023-06-01T16:13:12Z
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Visual modelling can optimise the appearance and capture efficiency of sticky traps used to manage insect pests

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