An empirical model based on phenological growth stage for predicting pesticide spray drift in pome fruit orchards

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11 Citations (Scopus)

Abstract

An innovative spray drift model is developed to describe downwind deposits of pesticides applied in an orchard of pome fruit trees (apple, pear). The empirical model is based on 20 years of experimental data of downwind deposits of spray drift for conventional cross-flow spray applications. The model reveals the major factors affecting downwind deposits: wind speed, wind direction, air temperature and density of the tree canopy. Modelling the canopy density of the trees as a continuous function of time is an innovative approach. Canopy density is uniquely related to growth stage through the phenological BBCH index. Observed effects of the mentioned factors on deposits are discussed. Model results and measured deposits show a correlation coefficient of 87%, while covering a range of almost three orders of magnitude. The model forms the basis for risk assessment for exposure of aquatic organisms concerning all edge-of-field water bodies in the Netherlands. Implementation of drift mitigation techniques is straightforward when appropriate experimental data on reductions of downwind spray deposits is available.
Original languageEnglish
Pages (from-to)46-61
JournalBiosystems Engineering
Volume154
DOIs
Publication statusPublished - 2017

Fingerprint

spray drift
Orchards
pome fruits
Fruits
Pesticides
orchard
spray
Fruit
orchards
pesticides
Deposits
fruit
pesticide
developmental stages
Pyrus
Aquatic Organisms
Body Water
Malus
Growth
Netherlands

Keywords

  • Canopy density
  • Model
  • Orchards
  • Pome fruit
  • Spray drift

Cite this

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title = "An empirical model based on phenological growth stage for predicting pesticide spray drift in pome fruit orchards",
abstract = "An innovative spray drift model is developed to describe downwind deposits of pesticides applied in an orchard of pome fruit trees (apple, pear). The empirical model is based on 20 years of experimental data of downwind deposits of spray drift for conventional cross-flow spray applications. The model reveals the major factors affecting downwind deposits: wind speed, wind direction, air temperature and density of the tree canopy. Modelling the canopy density of the trees as a continuous function of time is an innovative approach. Canopy density is uniquely related to growth stage through the phenological BBCH index. Observed effects of the mentioned factors on deposits are discussed. Model results and measured deposits show a correlation coefficient of 87{\%}, while covering a range of almost three orders of magnitude. The model forms the basis for risk assessment for exposure of aquatic organisms concerning all edge-of-field water bodies in the Netherlands. Implementation of drift mitigation techniques is straightforward when appropriate experimental data on reductions of downwind spray deposits is available.",
keywords = "Canopy density, Model, Orchards, Pome fruit, Spray drift",
author = "Holterman, {Henk J.} and {van de Zande}, {Jan C.} and Huijsmans, {Jan F.M.} and Marcel Wenneker",
year = "2017",
doi = "10.1016/j.biosystemseng.2016.08.016",
language = "English",
volume = "154",
pages = "46--61",
journal = "Biosystems Engineering",
issn = "1537-5110",
publisher = "Elsevier",

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TY - JOUR

T1 - An empirical model based on phenological growth stage for predicting pesticide spray drift in pome fruit orchards

AU - Holterman, Henk J.

AU - van de Zande, Jan C.

AU - Huijsmans, Jan F.M.

AU - Wenneker, Marcel

PY - 2017

Y1 - 2017

N2 - An innovative spray drift model is developed to describe downwind deposits of pesticides applied in an orchard of pome fruit trees (apple, pear). The empirical model is based on 20 years of experimental data of downwind deposits of spray drift for conventional cross-flow spray applications. The model reveals the major factors affecting downwind deposits: wind speed, wind direction, air temperature and density of the tree canopy. Modelling the canopy density of the trees as a continuous function of time is an innovative approach. Canopy density is uniquely related to growth stage through the phenological BBCH index. Observed effects of the mentioned factors on deposits are discussed. Model results and measured deposits show a correlation coefficient of 87%, while covering a range of almost three orders of magnitude. The model forms the basis for risk assessment for exposure of aquatic organisms concerning all edge-of-field water bodies in the Netherlands. Implementation of drift mitigation techniques is straightforward when appropriate experimental data on reductions of downwind spray deposits is available.

AB - An innovative spray drift model is developed to describe downwind deposits of pesticides applied in an orchard of pome fruit trees (apple, pear). The empirical model is based on 20 years of experimental data of downwind deposits of spray drift for conventional cross-flow spray applications. The model reveals the major factors affecting downwind deposits: wind speed, wind direction, air temperature and density of the tree canopy. Modelling the canopy density of the trees as a continuous function of time is an innovative approach. Canopy density is uniquely related to growth stage through the phenological BBCH index. Observed effects of the mentioned factors on deposits are discussed. Model results and measured deposits show a correlation coefficient of 87%, while covering a range of almost three orders of magnitude. The model forms the basis for risk assessment for exposure of aquatic organisms concerning all edge-of-field water bodies in the Netherlands. Implementation of drift mitigation techniques is straightforward when appropriate experimental data on reductions of downwind spray deposits is available.

KW - Canopy density

KW - Model

KW - Orchards

KW - Pome fruit

KW - Spray drift

U2 - 10.1016/j.biosystemseng.2016.08.016

DO - 10.1016/j.biosystemseng.2016.08.016

M3 - Article

VL - 154

SP - 46

EP - 61

JO - Biosystems Engineering

JF - Biosystems Engineering

SN - 1537-5110

ER -