A - Papers appearing in refereed journals
Moss, S. R., Ulber, L. and den Hoed, I. 2019. A herbicide resistance risk matrix. Crop Protection. 115 (January), pp. 13-19.
|Authors||Moss, S. R., Ulber, L. and den Hoed, I.|
Herbicide resistance is of increasing concern, especially as there is a lack of new modes of action. An assessment of resistance risk has been a key part of the pesticide authorisation process in most European countries since the early 2000's. However, little guidance is provided on how to quantify these risks. The risk matrix described here presents a quantitative approach to the evaluation of the resistance risk posed by the use of herbicides. The inherent, ‘unmodified’ risk is first assessed by ranking herbicides and major target weed species on a scale from low to high resistance risk, based largely on published information. In practice, agronomic management practices (‘modifiers’) will reduce the risk and these are factored into the matrix. Modifiers can include management strategies relating to herbicide use as well as non-chemical methods of weed control. By assigning defined impact factors to possible agronomic modifiers, the overall resistance risk of a herbicide under defined use conditions can be quantified. The approach, although simple, appears robust and produces realistic assessments of the resistance risks associated with four contrasting test scenarios. The aim is to achieve a better harmonisation of herbicide resistance risk assessment across Europe. Although the matrix has a European legislative focus, the approach and principles are relevant in other parts of the world where the extensive use of herbicides is a relatively recent development, and where there is currently limited knowledge and expertise on herbicide resistance and the evaluation of resistance risks.
|Year of Publication||2019|
|Journal citation||115 (January), pp. 13-19|
|Digital Object Identifier (DOI)||doi:10.1016/j.cropro.2018.09.005|
|Open access||Published as ‘gold’ (paid) open access|
|Funder||Biotechnology and Biological Sciences Research Council|
|Publisher's version||As published online 15Sept18 Resistance Matrix1-s2.0-S0261219418302801-main.pdf|
|Output status||E-publication ahead of print|
|Online||15 Sep 2018|
|Copyright license||CC BY|
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