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Quantifying pesticide deposits and spray patterns at micro-scales on apple (Malus domesticus) leaves with a view to arthropod exposure

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Quantifying pesticide deposits and spray patterns at micro-scales on apple (Malus domesticus) leaves with a view to arthropod exposure. / Witton, Joanna Thompson; Pickering, Matthew David; Alvarez, Tania; Reed, Melissa; Weyman, Gabrield; Hodson, Mark Edward; Ashauer, Roman.

In: Pest management science, Vol. 74, 2018, p. 2884-2893.

Research output: Contribution to journalArticle

Harvard

Witton, JT, Pickering, MD, Alvarez, T, Reed, M, Weyman, G, Hodson, ME & Ashauer, R 2018, 'Quantifying pesticide deposits and spray patterns at micro-scales on apple (Malus domesticus) leaves with a view to arthropod exposure', Pest management science, vol. 74, pp. 2884-2893.

APA

Witton, J. T., Pickering, M. D., Alvarez, T., Reed, M., Weyman, G., Hodson, M. E., & Ashauer, R. (2018). Quantifying pesticide deposits and spray patterns at micro-scales on apple (Malus domesticus) leaves with a view to arthropod exposure. Pest management science, 74, 2884-2893.

Vancouver

Witton JT, Pickering MD, Alvarez T, Reed M, Weyman G, Hodson ME et al. Quantifying pesticide deposits and spray patterns at micro-scales on apple (Malus domesticus) leaves with a view to arthropod exposure. Pest management science. 2018;74:2884-2893.

Author

Witton, Joanna Thompson ; Pickering, Matthew David ; Alvarez, Tania ; Reed, Melissa ; Weyman, Gabrield ; Hodson, Mark Edward ; Ashauer, Roman. / Quantifying pesticide deposits and spray patterns at micro-scales on apple (Malus domesticus) leaves with a view to arthropod exposure. In: Pest management science. 2018 ; Vol. 74. pp. 2884-2893.

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@article{9e5f9e57ab304619a6cd4cdc29d1ca68,
title = "Quantifying pesticide deposits and spray patterns at micro-scales on apple (Malus domesticus) leaves with a view to arthropod exposure",
abstract = "1. TITLEQuantifying pesticide deposits and spray patterns at micro-scales on apple (Malus domesticus) leaves with a view to arthropod exposure2. RUNNING TITLE Quantifying pesticide residues and spray patterns at micro-scales 3. AUTHORSJoanna T WittonEnvironment Department, University of York, Heslington, York, YO10 5NG, United KingdomCorresponding author: joanna.witton@york.ac.ukORCID 0000-0003-3751-4294 Matthew D Pickering Environment Department, University of York, Heslington, York, YO10 5NG, United Kingdommatthew.pickering@york.ac.uk ORCID 0000-0002-6234-2108Tania AlvarezEcoRisk Solutions Ltd., The Kernel, Walnut Hill, Surlingham, Norwich, Norfolk, NR14 7DQ, United Kingdomtania.alvarez@ecorisksolutions.co.uk Melissa Reed Chemicals Regulation Division, Health and Safety Executive, Mallard House, 3 Peasholme Green, York, YO1 7PX, United Kingdommelissa.reed@hse.gov.ukGabriel Weyman ADAMA Agricultural Solutions Ltd., 15 Thatcham Business Village, Colthrop Way, Thatcham, Berkshire, RG19 4LW, United Kingdomgabe.weyman@adama.comMark E Hodson Environment Department, University of York, Heslington, York, YO10 5NG, United Kingdom mark.hodson@york.ac.ukORCID 0000-0002-8166-1526Roman Ashauer Environment Department, University of York, Heslington, York, YO10 5NG, United Kingdom roman.ashauer@york.ac.ukORCID 0000-0002-9579-87934. ADDRESS WHERE WORK WAS UNDERTAKENEnvironment Department, University of York, Wentworth Way, York, YO10 5NG, UK5. ABSTRACT AND KEYWORDSBACKGROUNDPesticides used in commercial crop systems can adversely affect non-target arthropod populations. The spatial distribution of pesticide residues is rarely studied at scales relevant to these populations. Here we combine two methods for assessing pesticide spray deposits at spatial scales relevant to non-target arthropods found in apple orchards. Pesticide residues were determined on individual apple leaves through conventional residue analysis; water sensitive paper was used to investigate spatial distributions in deposits at the micro scale. We also evaluated how accurately a digital image analysis program estimated pesticide residues.RESULTSWe found mean pesticide spray coverage on water sensitive paper varied by up to 6.1{\%} (95{\%} CIs [9.4{\%}; 2.7{\%}]) within an apple orchard, and leaf residues varied by up to 0.95 mg kg-1 (95{\%} CIs 0.54 – 1.36 mg kg-1) within a tree. Leaf residues based on analytical chemistry were six times lower than pesticide deposition estimated through image analysis of water sensitive paper, though these correlated strongly. This correlation allowed estimation of actual residues by application of a correction factor. CONCLUSIONOur method demonstrates accurate estimation of pesticide deposits at the individual leaf scale through digital analysis of water sensitive paper and is a low cost, rapid alternative to conventional residue analysis techniques.",
keywords = "fungicide, penconazole, orchard, residue analysis, spatial variation, water sensitive paper, pesticide, TOXICITY",
author = "Witton, {Joanna Thompson} and Pickering, {Matthew David} and Tania Alvarez and Melissa Reed and Gabrield Weyman and Hodson, {Mark Edward} and Roman Ashauer",
note = "This is an author-produced version of the published paper. Uploaded in accordance with the publisher’s self-archiving policy. Further copying may not be permitted; contact the publisher for details",
year = "2018",
language = "English",
volume = "74",
pages = "2884--2893",
journal = "Pest management science",
issn = "1526-498X",
publisher = "John Wiley and Sons Ltd",

}

RIS (suitable for import to EndNote) - Download

TY - JOUR

T1 - Quantifying pesticide deposits and spray patterns at micro-scales on apple (Malus domesticus) leaves with a view to arthropod exposure

AU - Witton, Joanna Thompson

AU - Pickering, Matthew David

AU - Alvarez, Tania

AU - Reed, Melissa

AU - Weyman, Gabrield

AU - Hodson, Mark Edward

AU - Ashauer, Roman

N1 - This is an author-produced version of the published paper. Uploaded in accordance with the publisher’s self-archiving policy. Further copying may not be permitted; contact the publisher for details

PY - 2018

Y1 - 2018

N2 - 1. TITLEQuantifying pesticide deposits and spray patterns at micro-scales on apple (Malus domesticus) leaves with a view to arthropod exposure2. RUNNING TITLE Quantifying pesticide residues and spray patterns at micro-scales 3. AUTHORSJoanna T WittonEnvironment Department, University of York, Heslington, York, YO10 5NG, United KingdomCorresponding author: joanna.witton@york.ac.ukORCID 0000-0003-3751-4294 Matthew D Pickering Environment Department, University of York, Heslington, York, YO10 5NG, United Kingdommatthew.pickering@york.ac.uk ORCID 0000-0002-6234-2108Tania AlvarezEcoRisk Solutions Ltd., The Kernel, Walnut Hill, Surlingham, Norwich, Norfolk, NR14 7DQ, United Kingdomtania.alvarez@ecorisksolutions.co.uk Melissa Reed Chemicals Regulation Division, Health and Safety Executive, Mallard House, 3 Peasholme Green, York, YO1 7PX, United Kingdommelissa.reed@hse.gov.ukGabriel Weyman ADAMA Agricultural Solutions Ltd., 15 Thatcham Business Village, Colthrop Way, Thatcham, Berkshire, RG19 4LW, United Kingdomgabe.weyman@adama.comMark E Hodson Environment Department, University of York, Heslington, York, YO10 5NG, United Kingdom mark.hodson@york.ac.ukORCID 0000-0002-8166-1526Roman Ashauer Environment Department, University of York, Heslington, York, YO10 5NG, United Kingdom roman.ashauer@york.ac.ukORCID 0000-0002-9579-87934. ADDRESS WHERE WORK WAS UNDERTAKENEnvironment Department, University of York, Wentworth Way, York, YO10 5NG, UK5. ABSTRACT AND KEYWORDSBACKGROUNDPesticides used in commercial crop systems can adversely affect non-target arthropod populations. The spatial distribution of pesticide residues is rarely studied at scales relevant to these populations. Here we combine two methods for assessing pesticide spray deposits at spatial scales relevant to non-target arthropods found in apple orchards. Pesticide residues were determined on individual apple leaves through conventional residue analysis; water sensitive paper was used to investigate spatial distributions in deposits at the micro scale. We also evaluated how accurately a digital image analysis program estimated pesticide residues.RESULTSWe found mean pesticide spray coverage on water sensitive paper varied by up to 6.1% (95% CIs [9.4%; 2.7%]) within an apple orchard, and leaf residues varied by up to 0.95 mg kg-1 (95% CIs 0.54 – 1.36 mg kg-1) within a tree. Leaf residues based on analytical chemistry were six times lower than pesticide deposition estimated through image analysis of water sensitive paper, though these correlated strongly. This correlation allowed estimation of actual residues by application of a correction factor. CONCLUSIONOur method demonstrates accurate estimation of pesticide deposits at the individual leaf scale through digital analysis of water sensitive paper and is a low cost, rapid alternative to conventional residue analysis techniques.

AB - 1. TITLEQuantifying pesticide deposits and spray patterns at micro-scales on apple (Malus domesticus) leaves with a view to arthropod exposure2. RUNNING TITLE Quantifying pesticide residues and spray patterns at micro-scales 3. AUTHORSJoanna T WittonEnvironment Department, University of York, Heslington, York, YO10 5NG, United KingdomCorresponding author: joanna.witton@york.ac.ukORCID 0000-0003-3751-4294 Matthew D Pickering Environment Department, University of York, Heslington, York, YO10 5NG, United Kingdommatthew.pickering@york.ac.uk ORCID 0000-0002-6234-2108Tania AlvarezEcoRisk Solutions Ltd., The Kernel, Walnut Hill, Surlingham, Norwich, Norfolk, NR14 7DQ, United Kingdomtania.alvarez@ecorisksolutions.co.uk Melissa Reed Chemicals Regulation Division, Health and Safety Executive, Mallard House, 3 Peasholme Green, York, YO1 7PX, United Kingdommelissa.reed@hse.gov.ukGabriel Weyman ADAMA Agricultural Solutions Ltd., 15 Thatcham Business Village, Colthrop Way, Thatcham, Berkshire, RG19 4LW, United Kingdomgabe.weyman@adama.comMark E Hodson Environment Department, University of York, Heslington, York, YO10 5NG, United Kingdom mark.hodson@york.ac.ukORCID 0000-0002-8166-1526Roman Ashauer Environment Department, University of York, Heslington, York, YO10 5NG, United Kingdom roman.ashauer@york.ac.ukORCID 0000-0002-9579-87934. ADDRESS WHERE WORK WAS UNDERTAKENEnvironment Department, University of York, Wentworth Way, York, YO10 5NG, UK5. ABSTRACT AND KEYWORDSBACKGROUNDPesticides used in commercial crop systems can adversely affect non-target arthropod populations. The spatial distribution of pesticide residues is rarely studied at scales relevant to these populations. Here we combine two methods for assessing pesticide spray deposits at spatial scales relevant to non-target arthropods found in apple orchards. Pesticide residues were determined on individual apple leaves through conventional residue analysis; water sensitive paper was used to investigate spatial distributions in deposits at the micro scale. We also evaluated how accurately a digital image analysis program estimated pesticide residues.RESULTSWe found mean pesticide spray coverage on water sensitive paper varied by up to 6.1% (95% CIs [9.4%; 2.7%]) within an apple orchard, and leaf residues varied by up to 0.95 mg kg-1 (95% CIs 0.54 – 1.36 mg kg-1) within a tree. Leaf residues based on analytical chemistry were six times lower than pesticide deposition estimated through image analysis of water sensitive paper, though these correlated strongly. This correlation allowed estimation of actual residues by application of a correction factor. CONCLUSIONOur method demonstrates accurate estimation of pesticide deposits at the individual leaf scale through digital analysis of water sensitive paper and is a low cost, rapid alternative to conventional residue analysis techniques.

KW - fungicide

KW - penconazole

KW - orchard

KW - residue analysis

KW - spatial variation

KW - water sensitive paper

KW - pesticide

KW - TOXICITY

M3 - Article

VL - 74

SP - 2884

EP - 2893

JO - Pest management science

T2 - Pest management science

JF - Pest management science

SN - 1526-498X

ER -