Spray deposition on plant surfaces: a modelling approach

Dorr, Gary, Hanan, Jim, Adkins, Steve, Hewitt, Andrew, O'Donnell, Chris and Noller, Barry (2008) Spray deposition on plant surfaces: a modelling approach. Functional Plant Biology, 35 9/10: 988-996. doi:10.1071/FP08056


Author Dorr, Gary
Hanan, Jim
Adkins, Steve
Hewitt, Andrew
O'Donnell, Chris
Noller, Barry
Title Spray deposition on plant surfaces: a modelling approach
Journal name Functional Plant Biology   Check publisher's open access policy
ISSN 1445-4408
ISBN 978-0-521-71151-7
Publication date 2008-01-01
Year available 2008
Sub-type Article (original research)
DOI 10.1071/FP08056
Open Access Status Not yet assessed
Volume 35
Issue 9/10
Start page 988
End page 996
Total pages 9
Editor R. Munns
Place of publication Collingwood, Victoria
Publisher CSIRO Publishing
Language eng
Subject C1
080110 Simulation and Modelling
Abstract For pesticides to effectively manage pests, they must first be deposited on the target (typically a plant surface) in a manner in which the active ingredient(s) can be readily taken up by the target organism. A plant architectural model that enables the location of various plant components in 3-D space combined with a particle trajectory model has been used to study the interception of spray droplets by various vegetative elements. Results from the simulation are compared with wind tunnel studies of glyphosate deposition on cotton (Gossypium hirsutum L. var. Sicala), sow thistle (Sonchus oleraceus L.) and wild oats (Avena ludoviciana Durieu). An air induction flat fan nozzle (AI110015 at 500 kPa pressure) and an extended range flat fan nozzle (XR11002 at 280 kPa pressure) were predicted to have similar glyphosate deposition on cotton and sow thistle plants, whereas the extended range nozzle resulted in higher deposit on wild oats. Spray deposition (µg cm-2) on wild oat plants at the 5-leaf stage was more than double the amount of deposition on sow thistle or wild oat plants at the 2-leaf stage. The model was in good agreement with the experimental data except that it tended to over predict deposition on sow thistle plants.
Keyword Application
L-system
Pesticide
Retention
simulation
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

 
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Created: Wed, 08 Apr 2009, 20:36:02 EST by Emma Cushworth on behalf of School of Land, Crop and Food Sciences