Simulating the evolution of glyphosate resistance in grains farming in northern Australia

Thornby, David F. and Walker, Steve R. (2009) Simulating the evolution of glyphosate resistance in grains farming in northern Australia. Annals of Botany, 104 4: 747-756. doi:10.1093/aob/mcp152

Author Thornby, David F.
Walker, Steve R.
Title Simulating the evolution of glyphosate resistance in grains farming in northern Australia
Journal name Annals of Botany   Check publisher's open access policy
ISSN 0305-7364
Publication date 2009-09
Sub-type Article (original research)
DOI 10.1093/aob/mcp152
Volume 104
Issue 4
Start page 747
End page 756
Total pages 10
Place of publication Oxford, United Kingdom
Publisher Oxford University Press
Language eng
Formatted abstract
Background and Aims The evolution of resistance to herbicides is a substantial problem in contemporary agriculture. Solutions to this problem generally consist of the use of practices to control the resistant population once it evolves, and/or to institute preventative measures before populations become resistant. Herbicide resistance evolves in populations over years or decades, so predicting the effectiveness of preventative strategies in particular relies on computational modelling approaches. While models of herbicide resistance already exist, none deals with the complex regional variability in the northern Australian sub-tropical grains farming region. For this reason, a new computer model was developed.
Methods The model consists of an age- and stage-structured population model of weeds, with an existing crop model used to simulate plant growth and competition, and extensions to the crop model added to simulate seed bank ecology and population genetics factors. Using awnless barnyard grass (Echinochloa colona) as a test case, the model was used to investigate the likely rate of evolution under conditions expected to produce high selection pressure.
Key Results Simulating continuous summer fallows with glyphosate used as the only means of weed control resulted in predicted resistant weed populations after approx. 15 years. Validation of the model against the paddock history for the first real-world glyphosate-resistant awnless barnyard grass population shows that the model predicted resistance evolution to within a few years of the real situation.
Conclusions This validation work shows that empirical validation of herbicide resistance models is problematic. However, the model simulates the complexities of sub-tropical grains farming in Australia well, and can be used to investigate, generate and improve glyphosate resistance prevention strategies.
Keyword Crop weeds
Herbicide resistance
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status Non-UQ

Document type: Journal Article
Sub-type: Article (original research)
Collection: Queensland Alliance for Agriculture and Food Innovation
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Citation counts: TR Web of Science Citation Count  Cited 19 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 19 times in Scopus Article | Citations
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Created: Mon, 07 Mar 2011, 16:17:48 EST