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. 2020 Jun 18;11:3086. doi: 10.1038/s41467-020-16896-0

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© The Author(s) 2020

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

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Fig. 4 — a–c show the mean predicted relationship between herbicide mixing and TSR frequency for the SU (p = 0.023), Fop (p ≤ 0.001) and Dim (p = 0.002) herbicides, respectively. Coefficients are from mixed model analyses fitted for each TSR separately (Supplementary Table 4). d The mean predicted relationship between the use of herbicide mode of action mixtures and the foliar concentration of AmGSTF1 (p = 0.040) (used here as a proxy for NTSR), and e the mean predicted relationship between the overall diversity of herbicide modes of action and the foliar AmGSTF1 concentration (p ≤ 0.001) following mixed model analysis are given in Supplementary Table 3. Solid lines show the mean predicted relationship, with shaded regions representing the 95% confidence interval of the prediction.