Dust drift during mechanical and pneumatic wheat sowing and insights into the physicochemical characteristics of the abraded dust

Reinout Godaert, Ingrid Zwertvaegher, Simon Hornetz, Pieter Verboven, David Nuyttens

Research output: Contribution to journalA1: Web of Science-articlepeer-review

Abstract

Background During sowing, PPP-laden dust particles can be abraded from coated seeds and emitted in the atmosphere. Drift of these particles is a very complex phenomenon and depends on many factors, including the physicochemical characteristics of the dust. Currently, the available data needed to obtain a better understanding of the phenomenon and to build a risk assessment tool is still very limited. In this study, new data on dust drift and on the physochemical characteristics of dust abraded from wheat seeds generated using a pneumatic and mechanical seeder were obtained. This data will serve as input to optimize a much-needed computational fluid dynamics (CFD) model. Results The dust generated by the pneumatic seeder contained a greater volume of smaller particles (< 150 μm) than the mechanical seeder dust, which contained a greater volume of larger particles (> 1000 μm) than pneumatic seeder dust. Compared to the pneumatic seeder, the mechanical seeder showed lower drift values. With both seeders, the drift depositions decreased with increasing distance from the sowing area but no clear relationship between dust drift and wind speed could be found. Conclusion The gathered physicochemical and drift data for wheat seed drilling extends the current dust drift database and helps to better understand the complex dust drift phenomenon. The data will serve as input to refine and validate a CFD dust drift model. Such a model allows a better and quicker assessment of different scenario's (such as varying wind speeds and direction, treatment, drilling technique) at a lower cost than conducting more field trials.
Original languageEnglish
JournalPest Management Science
ISSN1526-498X
DOIs
Publication statusPublished - 20-Jan-2023

Keywords

  • airborne drift
  • particle size distribution
  • sedimenting drift
  • seed quality
  • seeder type

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