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

Joanna Thompson Witton; Matthew David Pickering; Tania Alvarez; Melissa Reed; Gabrield Weyman; Mark Edward Hodson; Roman Ashauer

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

Joanna Thompson Witton, Matthew David Pickering, Tania Alvarez, Melissa Reed, Gabrield Weyman, Mark Edward Hodson, Roman Ashauer

Environment and Geography

Research output: Contribution to journal › Article › peer-review

Abstract

1. TITLE
Quantifying pesticide deposits and spray patterns at micro-scales on apple (Malus domesticus) leaves with a view to arthropod exposure
2. RUNNING TITLE Quantifying pesticide residues and spray patterns at micro-scales
3. AUTHORS
Joanna T Witton
Environment Department, University of York, Heslington, York, YO10 5NG, United Kingdom
Corresponding author: [email protected]
ORCID 0000-0003-3751-4294

Matthew D Pickering
Environment Department, University of York, Heslington, York, YO10 5NG, United Kingdom
[email protected]
ORCID 0000-0002-6234-2108
Tania Alvarez
EcoRisk Solutions Ltd., The Kernel, Walnut Hill, Surlingham, Norwich, Norfolk, NR14 7DQ, United Kingdom
[email protected]

Melissa Reed
Chemicals Regulation Division, Health and Safety Executive, Mallard House, 3 Peasholme Green, York, YO1 7PX, United Kingdom
[email protected]
Gabriel Weyman
ADAMA Agricultural Solutions Ltd., 15 Thatcham Business Village, Colthrop Way, Thatcham, Berkshire, RG19 4LW, United Kingdom
[email protected]
Mark E Hodson
Environment Department, University of York, Heslington, York, YO10 5NG, United Kingdom
[email protected]
ORCID 0000-0002-8166-1526
Roman Ashauer
Environment Department, University of York, Heslington, York, YO10 5NG, United Kingdom
[email protected]
ORCID 0000-0002-9579-8793
4. ADDRESS WHERE WORK WAS UNDERTAKEN
Environment Department, University of York, Wentworth Way, York, YO10 5NG, UK
5. ABSTRACT AND KEYWORDS
BACKGROUND
Pesticides 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.
RESULTS
We 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.
CONCLUSION
Our 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.

Original language	English
Pages (from-to)	2884-2893
Journal	Pest management science
Volume	74
Early online date	12 Jul 2018
Publication status	Published - 2018

Bibliographical 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

Keywords

fungicide
penconazole
orchard
residue analysis
spatial variation
water sensitive paper
pesticide
TOXICITY

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Cite this

@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: [email protected] 0000-0003-3751-4294 Matthew D Pickering Environment Department, University of York, Heslington, York, YO10 5NG, United [email protected] ORCID 0000-0002-6234-2108Tania AlvarezEcoRisk Solutions Ltd., The Kernel, Walnut Hill, Surlingham, Norwich, Norfolk, NR14 7DQ, United [email protected] Melissa Reed Chemicals Regulation Division, Health and Safety Executive, Mallard House, 3 Peasholme Green, York, YO1 7PX, United [email protected] Weyman ADAMA Agricultural Solutions Ltd., 15 Thatcham Business Village, Colthrop Way, Thatcham, Berkshire, RG19 4LW, United [email protected] E Hodson Environment Department, University of York, Heslington, York, YO10 5NG, United Kingdom [email protected] 0000-0002-8166-1526Roman Ashauer Environment Department, University of York, Heslington, York, YO10 5NG, United Kingdom [email protected] 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{\textquoteright}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 = "Wiley-Blackwell",

}

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: [email protected] 0000-0003-3751-4294 Matthew D Pickering Environment Department, University of York, Heslington, York, YO10 5NG, United [email protected] ORCID 0000-0002-6234-2108Tania AlvarezEcoRisk Solutions Ltd., The Kernel, Walnut Hill, Surlingham, Norwich, Norfolk, NR14 7DQ, United [email protected] Melissa Reed Chemicals Regulation Division, Health and Safety Executive, Mallard House, 3 Peasholme Green, York, YO1 7PX, United [email protected] Weyman ADAMA Agricultural Solutions Ltd., 15 Thatcham Business Village, Colthrop Way, Thatcham, Berkshire, RG19 4LW, United [email protected] E Hodson Environment Department, University of York, Heslington, York, YO10 5NG, United Kingdom [email protected] 0000-0002-8166-1526Roman Ashauer Environment Department, University of York, Heslington, York, YO10 5NG, United Kingdom [email protected] 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: [email protected] 0000-0003-3751-4294 Matthew D Pickering Environment Department, University of York, Heslington, York, YO10 5NG, United [email protected] ORCID 0000-0002-6234-2108Tania AlvarezEcoRisk Solutions Ltd., The Kernel, Walnut Hill, Surlingham, Norwich, Norfolk, NR14 7DQ, United [email protected] Melissa Reed Chemicals Regulation Division, Health and Safety Executive, Mallard House, 3 Peasholme Green, York, YO1 7PX, United [email protected] Weyman ADAMA Agricultural Solutions Ltd., 15 Thatcham Business Village, Colthrop Way, Thatcham, Berkshire, RG19 4LW, United [email protected] E Hodson Environment Department, University of York, Heslington, York, YO10 5NG, United Kingdom [email protected] 0000-0002-8166-1526Roman Ashauer Environment Department, University of York, Heslington, York, YO10 5NG, United Kingdom [email protected] 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

SN - 1526-498X

VL - 74

SP - 2884

EP - 2893

JO - Pest management science

JF - Pest management science

ER -