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RESEARCH ARTICLE
Contents Vol 35(10)

Spray deposition on plant surfaces: a modelling approach

Gary Dorr A E , Jim Hanan B , Steve Adkins C , Andrew Hewitt A , Chris O’Donnell A C and Barry Noller D
+ Author Affiliations
- Author Affiliations

A The University of Queensland, Centre for Pesticide Application and Safety, Gatton, Qld 4343, Australia.

B The University of Queensland, Centre for Biological Information Technology, St Lucia, Qld 4072, Australia.

C The University of Queensland, Tropical and Subtropical Weeds Research Unit, St Lucia, Qld 4072, Australia.

D The University of Queensland, Centre for Mined Land Rehabilitation, St Lucia, Qld 4072, Australia.

E Corresponding author. Email: g.dorr@uq.edu.au

This paper originates from a presentation at the 5th International Workshop on Functional–Structural Plant Models, Napier, New Zealand, November 2007.

Functional Plant Biology 35(10) 988-996 https://doi.org/10.1071/FP08056
Submitted: 7 March 2008  Accepted: 9 September 2008   Published: 11 November 2008

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.

Additional keywords: application, L-system, pesticide, retention, simulation.


Acknowledgements

This project is funded by an Australian Research Council (ARC) Linkage project with assistance from Bayer CropScience, Syngenta Crop Protection, Nufarm Australia and Queensland Health Scientific Services. Queensland Health and Scientific Services provided the glyphosate residue analysis.


References


Baetens K, Nuyttens D, Verboven P, De Schampheleire M, Nicolai B, Ramon H (2007) Predicting drift from field spraying by means of a 3D computational fluid dynamics model. Computers and Electronics in Agriculture 56, 161–173.
| Crossref | GoogleScholarGoogle Scholar | open url image1

Baker KF (1957) ‘The UC system for producing healthy container-grown plants.’ (University of California, Division of Agricultural Sciences: Berkeley, CA)

Butler-Ellis MC, Miller PCH, Orson JH (2008) Minimising drift while maintaining efficacy – the role of air-induction nozzles. Aspects of Applied Biology 84, 59–66. open url image1

Chow CY (1979) ‘An introduction to computational fluid mechanics.’ (John Wiley and Sons: New York)

Cici SZH (2007) Competitive ability of chickpea canopy with sowthistle: an architectural modeling study. PhD thesis, School of Land, Crop and Food Sciences, University of Queensland, St Lucia.

Cox SJ, Salt DW, Lee BE, Ford MG (2000) Model for the capture of aerially sprayed pesticide by barley. Journal of Wind Engineering and Industrial Aerodynamics 87, 217–230.
| Crossref | GoogleScholarGoogle Scholar | open url image1

Craig IP , Woods N , Dorr G (2000) Collection efficiency of surfaces used to sample spray drift. Presented at ‘“Growing Links” Conference, Society for Engineering in Agriculture (SEAg), Adelaide, 2–5 April 2000.’ pp. 87–95. (National Centre for Engineering in Agriculture, University of Southern Queensland, Australia) CD of papers.

Forster WA, Kimberley MO, Zabkiewicz JA (2005) A universal spray droplet adhesion model. Transactions of the American Society of Agricultural Engineers 48, 1321–1330. open url image1

Ghosh S, Hunt JCR (1998) Spray jets in a cross-flow. Journal of Fluid Mechanics 365, 109–136.
| Crossref | GoogleScholarGoogle Scholar | open url image1

Hashem A, Parkin CS (1991) A simplified heavy particle random-walk model for the prediction of drift from agricultural sprays. Atmospheric Environment. Part A, General Topics 25, 1609–1614.
| Crossref | GoogleScholarGoogle Scholar | open url image1

Holterman HJ, van de Zande JC, Porskamp HAJ, Huijsmans JFM (1997) Modelling spray drift from boom sprayers. Computers and Electronics in Agriculture 19, 1–22.
| Crossref | GoogleScholarGoogle Scholar | open url image1

Ley AJ (1982) A random walk simulation of two-dimensional turbulent diffusion in the neutral surface layer. Atmospheric Environment 16, 2799–2808.
| Crossref | GoogleScholarGoogle Scholar | open url image1

Marchant JA (1977) Calculation of spray droplet trajectory in a moving airstream. Journal of Agricultural Engineering Research 22, 93–96.
| Crossref | GoogleScholarGoogle Scholar | open url image1

May KR, Clifford R (1967) The impaction of aerosol particles on cylinders, spheres, ribbons and discs. The Annals of Occupational Hygiene 10, 83–95. open url image1

McIlveen JFR (1992) ‘Fundamentals of weather and climate.’ (Chapman and Hall: London)

Mokeba ML, Salt DW, Lee BE, Ford MG (1997) Simulating the dynamics of spray droplets in the atmosphere using ballistic and random-walk models combined. Journal of Wind Engineering and Industrial Aerodynamics 67–68, 923–933.
| Crossref | GoogleScholarGoogle Scholar | open url image1

Nicholls JW , Talukder FA , Hassan E , Woods N , Dorr GJ , Gordon BA (2002) Heliothis management, spray drift and in-crop deposition using LDP. In ‘11th Cotton conference proceedings, 13–15 August 2002, Brisbane Convention and Exhibition Centre, Brisbane.’ pp. 243–250. (Australian Cotton Growers Research Association Inc.: Narrabri, New South Wales)

Nuyttens D, De Schampheleire M, Baetens K, Sonck B (2007) The influence of operator-controlled variables on spray drift from field crop sprayers. Transactions of the American Society of Agricultural and Biological Engineers 50, 1129–1140. open url image1

Panofsky HA, Tennekes H, Lenschow DH, Wyngaard JC (1977) The characteristics of turbulent velocity components in the surface layer under convective conditions. Boundary-Layer Meteorology 11, 355–361.
| Crossref | GoogleScholarGoogle Scholar | open url image1

Parkin CS, Wheeler PN (1996) Influence of spray induced vortices on the movement of drops in wind tunnels. Journal of Agricultural Engineering Research 63, 35–44.
| Crossref | GoogleScholarGoogle Scholar | open url image1

Phillips JC, Miller PCH (1999) Field and wind tunnel measurements of the airborne spray volume downwind of single flat-fan nozzles. Journal of Agricultural Engineering Research 72, 161–170.
| Crossref | GoogleScholarGoogle Scholar | open url image1

Press WH , Teukolosky SA , Vetterling WT , Flannery BP (2002) ‘Numerical recipies in C++.’ (Cambridge University Press: Cambridge)

Prusinkiewicz P (2004) Art and science for life: designing and growing virtual plants with L-systems. Acta Horticulturae 630, 15–28. open url image1

Prusinkiewicz P, Hanan J, Mech R (2000) An L-system-based plant modeling language. Lecture Notes in Computer Science 1779, 395–410.
| Crossref | GoogleScholarGoogle Scholar | open url image1

Prusinkiewicz P , Karwowski R , Lane B (2007) The L+C plant-modelling language. In ‘Functional-structural plant modelling in crop production’. (Eds J Vos, LFM Marcelis, PHB de Visser, PC Struik, JB Evers) pp. 27–42. (Springer-Verlag: Berlin)

Ranz WE, Marshall WR (1952) Evaporation from drops: Part 1. Chemical Engineering Progress 48, 141–146. open url image1

Room PM , Hanan JS (1995) Virtual cotton: A new tool for research management and training. In ‘Challenging the future. Proceedings of the world cotton research conference 1.’ (Eds GA Constable, NW Forrester) pp. 40–44. (CSIRO: Melbourne)

Smith RW, Miller PCH (1994) Drift predictions in the near nozzle region of a flat fan spray. Journal of Agricultural Engineering Research 59, 111–120.
| Crossref | GoogleScholarGoogle Scholar | open url image1

Vander Wal RL, Berger GM, Mozes SD (2006) The splash/non-splash boundary upon a dry surface and thin fluid film. Experiments in Fluids 40, 53–59.
| Crossref | GoogleScholarGoogle Scholar | open url image1

Wang CJ, Liu ZQ (2007) Foliar uptake of pesticides – present status and future challenge. Pesticide Biochemistry and Physiology 87, 1–8.
| Crossref | GoogleScholarGoogle Scholar | open url image1

Wilson PA, Hanan JS, Room PM, Chakraborty S, Doley D (1999) Using Lindenmayer systems to model morphogenesis in a tropical pasture legume Stylosanthes scabra. Canadian Journal of Botany – Revue Canadienne De Botanique 77, 394–403.
| Crossref | GoogleScholarGoogle Scholar | open url image1