Assessing weeds at risk of evolving glyphosate resistance in Australian sub-tropical glyphosate-resistant cotton systems
Jeff Werth A C , David Thornby A and Steve Walker B
+ Author Affiliations
- Author Affiliations
A Agri-Science Queensland, Department of Employment, Economic Development and Innovation, Leslie Research Centre, 13 Holberton Street, Toowoomba, Qld 4350, Australia.
B The University of Queensland, Queensland Alliance for Agriculture and Food Innovation, 13 Holberton Street, Toowoomba, Qld 4350, Australia.
C Corresponding author. Email: jeff.werth@deedi.qld.gov.au
Crop and Pasture Science 62(11) 1002-1009 https://doi.org/10.1071/CP11201
Submitted: 2 August 2011 Accepted: 23 November 2011 Published: 16 December 2011
Abstract
Glyphosate resistance will have a major impact on current cropping practices in glyphosate-resistant cotton systems. A framework for a risk assessment for weed species and management practices used in cropping systems with glyphosate-resistant cotton will aid decision making for resistance management. We developed this framework and then assessed the biological characteristics of 65 species and management practices from 50 cotton growers. This enabled us to predict the species most likely to evolve resistance, and the situations in which resistance is most likely to occur. Species with the highest resistance risk were Brachiaria eruciformis, Conyza bonariensis, Urochloa panicoides, Chloris virgata, Sonchus oleraceus and Echinochloa colona. The summer fallow and non-irrigated glyphosate-resistant cotton were the highest risk phases in the cropping system. When weed species and management practices were combined, C. bonariensis in summer fallow and other winter crops were at very high risk. S. oleraceus had very high risk in summer and winter fallow, as did C. virgata and E. colona in summer fallow. This study enables growers to identify potential resistance risks in the species present and management practices used on their farm, which will to facilitate a more targeted weed management approach to prevent development of glyphosate resistance.
Additional keywords: glyphosate resistance, glyphosate-resistant cotton, risk assessment.
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