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Molecular diagnostics for real-time determination of herbicide resistance in wild grasses

Lookup NU author(s): Dr Nawaporn OnkokesungORCiD, Dr Melissa Brazier-Hicks, Dr Catherine Tétard-Jones, Professor Robert Edwards

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This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).

Abstract

© 2022 The Authors. The growth of resistance to multiple herbicides in grass weeds is a major threat to global cereal production and in the UK, is epitomized by the loss of control of blackgrass (Alopecurus myosuroides), causing losses in winter wheat production equating to 5% of national consumption. With an urgent need to develop new black-grass management tools, we have developed a lateral flow assay (LFA) that can predict resistance to multiple herbicides within 10 min.

Publication metadata

Author(s): Onkokesung N, Brazier-Hicks M, Tetard-Jones C, Bentham A, Edwards R

Publication type: Article

Publication status: Published

Journal: Journal of Biotechnology

Year: 2022

Volume: 358

Pages: 64-66

Print publication date: 10/11/2022

Online publication date: 12/09/2022

Acceptance date: 09/09/2022

Date deposited: 04/10/2022

ISSN (print): 0168-1656

ISSN (electronic): 1873-4863

Publisher: Elsevier BV

URL: https://doi.org/10.1016/j.jbiotec.2022.09.004

DOI: 10.1016/j.jbiotec.2022.09.004

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