Powles, S. B. Evolved glyphosate-resistant weeds around the world: Lessons to be learnt. Pest Manage. Sci. 64, 360–365 (2008).
Google Scholar
Bradshaw, L. D., Padgette, S. R., Kimball, S. L. & Wells, B. J. Perspectives on glyphosate resistance. Weed Technol. 11, 189–198 (1997).
Google Scholar
Duke, S. O. & Powles, S. B. Glyphosate: A once-in-a-century herbicide. Pest Manage. Sci. 64, 319–325 (2008).
Google Scholar
Baek, Y., Bobadilla, L. K., Giacomini, D. A., Montgomery, J. S., Murphy, B. P. & Tranel, P. J. Evolution of glyphosate-resistant weeds In Reviews of Environmental Contamination and Toxicology Volume 225 (ed. Knaak, J. B.) 93–128 (Cham, CH: Springer Nature Switzerland AG 2021).
Heap, I. The international herbicide-resistant weed database www.weedscience.org (2022).
Beckie, H. J. et al. A decade of herbicide-resistant crops in Canada. Can. J. Plant Sci. 61, 1243–1264 (2006).
Geddes, C. M. Glyphosate overreliance threatens no-till agriculture: Is kochia a canary in the coal mine? In Proceedings of the 2019 ASA-CSSA-SSSA International Annual Meeting https://scisoc.confex.com/scisoc/2019am/meetingapp.cgi/Paper/121120 (San Antonio, TX: ASA-CSSA-SSSA, 2019).
Alberta Environment and Parks. Overview of 2018 pesticide sales in Alberta https://open.alberta.ca/publications/9781460148167 (Government of Alberta ISBN 978-1-4601-4816-7, 2020).
Statistics Canada. Table 32-10-0359-01: Estimated areas, yield, production, average farm price and total farm value of principal field crops, in metric and imperial units https://www150.statcan.gc.ca/t1/tbl1/en/tv.action?pid=3210035901 (2022).
Brunharo, C. A. C. G. et al. Western United States and Canada perspective: Are herbicide-resistant crops the solution to herbicide-resistant weeds? Weed Sci. 66, 272–286 (2022).
Canadian Grain Commission. Grain varieties by acreage insured https://www.grainscanada.gc.ca/en/grain-research/statistics/varieties-by-acreage/ (2022).
Statistics Canada. Table 32-10-0408-01: Tillage and seeding practices, Census of Agriculture, 2021 and 2016 https://www150.statcan.gc.ca/t1/tbl1/en/tv.action?pid=3210040801 (2022).
Upadhyaya, M. K., McIlvride, D. & Turkington, R. The biology of Canadian weeds: 75. Bromus tectorum L.. Can. J. Plant Sci. 66, 689–709 (1986).
Hedrick, D. W. History of cheatgrass – present geographical range and importance of cheatgrass in management of rangelands. In Cheatgrass Symposium. 13–16 (Portland, OR: US Dep. Int., Bur. Land Manage., 1965).
Mack, R. N. Invasion of Bromus tectorum L. into western North America: An ecological chronicle. Agro-Ecosystems 7, 145–165 (1981).
Mitich, L. W. Downy brome, Bromus tectorum L. Weed Technol. 13, 664–668 (1999).
Morrow, L. A. & Stahlman, P. W. The history and distribution of downy brome (Bromus tectorum) in North America. Weed Sci. 32, 2–6 (1984).
Pellant, M. & Hall, C. Distribution of two exotic grasses on public lands in the Great Basin: status in 1992. In Proceedings–Ecology and Management of Annual Rangelands. (eds. Monsen, S. B. & Kitchen, S. G.) 109–112 (Ogden, UT: US Department of Agriculture, Forest Service, Intermountain Research Station, General Technical Report INT-GTR-313, 1994).
Leeson, J. Y., Hall, L. M. Neeser, C., Tidemann, B., & Harker, K. N. Alberta survey of annual crops in 2017. (Saskatoon, SK: Agriculture and Agri-Food Canada Weed Survey Series Publ. 19–1, 2019).
Douglas, B., Thomas, A. & Derksen, D. Downy brome (Bromus tectorum) invasion into southwestern Saskatchewan. Can. J. Plant Sci. 70, 1143–1151 (1990).
Miller, Z. J., Menalled, F. D. & Burrows, M. Winter annual grassy weeds increase over-winter mortality in autumn-sown wheat. Weed Res. 53, 102–109 (2013).
Rydrych, D. J. & Muzik, T. K. Downy brome competition and control in dryland wheat. Agron. J. 60, 279–280 (1968).
Stahlman, P. W. & Miller, S. D. Downy brome (Bromus tectorum) interference and economic thresholds in winter wheat (Triticum aestivum). Weed Sci. 38, 224–228 (1990).
Blackshaw, R. E. Downy brome (Bromus tectorum) density and relative time of emergence affects interference in winter wheat (Triticum aestivum). Weed Sci. 41, 551–556 (1993).
Johnson, E. N. et al. Pyroxasulfone is effective for management of Bromus spp. in winter wheat in Western Canada. Weed Technol. 32, 739–748 (2018).
Kumar, V., Jha, P. & Jhala, A. J. Using pyroxasulfone for downy brome (Bromus tectorum L.) control in winter wheat. Am. J. Plant Sci. 8, 2367–2378 (2017).
Google Scholar
Ostlie, M. H. & Howatt, K. A. Downy brome (Bromus tectorum) competition and control in no-till spring wheat. Weed Technol. 27, 502–508 (2013).
Google Scholar
Steward, G. & Hull, A. C. Cheatgrass (Bromus tectorum L.) – An ecological intruder in southern Idaho. Ecology 30, 57–74 (1949).
Hulbert, L. C. Ecological studies of Bromus tectorum and other annual brome grasses. Ecol. Monogr. 25, 181–213 (1955).
Young, J. A. & Evans, R. A. Population dynamics after wildfires in sagebrush grasslands. J. Range. Manag. 31, 283–289 (1978).
Mack, R. N. & Pyke, D. A. The demography of Bromus tectorum: Variation in time and space. J. Ecol. 71, 69–93 (1983).
Pyke, A. P. & Novak, S. J. Cheatgrass demography–establishment attributes, recruitment, ecotypes and genetic variability. In Proceedings–Ecology and Management of Annual Rangelands. (eds. Monsen, S. B. & Kitchen, S. G.) 12–21 (Ogden, UT: US Department of Agriculture, Forest Service, Intermountain Research Station, General Technical Report INT-GTR-313, 1994).
Burnside, O. C., Wilson, R. G., Weisberg, S. & Hubbard, K. G. Seed longevity of 41 weed species buried 17 years in eastern and western Nebraska. Weed Sci. 44, 74–86 (1996).
Google Scholar
Smith, D. C., Meyer, S. E. & Anderson, V. J. Factors affecting Bromus tectorum seed bank carryover in western Utah. Rangel. Ecol. Manag. 61, 430–436 (2008).
Wicks, G. A. Survival of downy brome (Bromus tectorum) seed in four environments. Weed Sci. 45, 225–228 (1997).
Google Scholar
Rydrych, D. J. Competition between winter wheat and downy brome. Weed Sci. 22, 211–214 (1974).
Sebastian, D. J., Nissen, S. J., Sebastian, J. R. & Beck, K. G. Seed bank depletion: The key to long-term downy brome (Bromus tectorum L.) management. Rangel. Ecol. Manage. 70, 477–483 (2017).
Asthana, P., Zuger, R. J., Brew-Appiah, R., Sanguinet, K. & Burke, I. EPSPS gene amplification confers glyphosate resistance in Bromus tectorum (Downy brome). In Proceedings of the 2020 Weed Science Society of America (WSSA)–Western Society of Weed Science Joint Meeting. 58 (Maui, HI: WSSA, 2020).
Zuger, R. J. & Burke, I. C. Testing in Washington identifies widespread postemergence herbicide resistance in annual grasses. Crops Soils Mag. 53, 13–19 (2020).
Davies, L. R., Hull, R., Moss, S. & Neve, P. The first cases of evolving glyphosate resistance in UK poverty brome (Bromus sterilis) populations. Weed Sci. 67, 41–47 (2019).
Malone, J. M., Morran, S., Shirley, N., Boutsalis, P. & Preston, C. EPSPS gene amplification in glyphosate-resistant Bromus diandrus. Pest Manage. Sci. 72, 81–88 (2016).
Google Scholar
Vázquez-García, J. G. et al. Glyphosate resistance confirmation and field management of red brome (Bromus rubens L.) in perennial crops grown in southern Spain. Agronomy 11, 535 (2021).
Park, K. W. & Mallory-Smith, C. A. Physiological and molecular basis for ALS inhibitor resistance in Bromus tectorum biotypes. Weed Res. 44, 71–77 (2004).
Google Scholar
Kumar, V. & Jha, P. First report of Ser653Asn mutation endowing high-level resistance to imazamox in downy brome (Bromus tectorum L.). Pest Manag. Sci. 73, 2585–2591 (2017).
Google Scholar
Baerson, G. T. et al. Glyphosate resistant goosegrass. Identification of a mutation in the target enzyme 5-enolpyruvylshikimate-3-phosphate synthase. Plant Physiol. 129, 1265–1274 (2002).
Google Scholar
Gaines, T. A. et al. Mechanism of resistance of evolved glyphosate-resistant palmer amaranth (Amaranthus palmeri). J. Agric. Food Chem. 59, 5886–5889 (2011).
Google Scholar
Jugulam, M. et al. Tandem amplification of a chromosomal segment harboring 5-enolpyruvylshikimate-3-phosphate synthase locus confers glyphosate resistance in Kochia scoparia. Plant Physiol. 166, 1200–1207 (2014).
Google Scholar
Metier, E. P., Lehnhoff, E. A., Mangold, J., Rinella, M. J. & Rew, L. J. Control of downy brome (Bromus tectorum) and Japanese brome (Bromus japonicus) using glyphosate and four graminicides: Effects of herbicide rate, plant size, species, and accession. Weed Technol. 34, 284–291 (2020).
Reddy, S., Stahlman, P. & Geier, P. Downy brome (Bromus tectorum L.) and broadleaf weed control in winter wheat with acetolactate synthase-inhibiting herbicides. Agronomy 3, 340–348 (2013).
Google Scholar
Blackshaw, R. E. Differential competitive ability of winter wheat cultivars against downy brome. Agron. J. 86, 649–654 (1994).
Blackshaw, R. E. Rotation affects downy brome (Bromus tectorum) in winter wheat (Triticum aestivum). Weed Technol. 8, 728–732 (1994).
Wicks, G. A. Integrated systems for control and management of downy brome (Bromus tectorum) in cropland. Weed Sci. 32, 26–31 (1984).
Google Scholar
Anderson, R. L. Timing of nitrogen application affects downy brome (Bromus tectorum) growth in winter wheat. Weed Technol. 5, 582–585 (1991).
Blackshaw, R. E., Larney, F. J., Lindwall, C. W., Watson, P. R. & Derksen, D. A. Tillage intensity and crop rotation affect weed community dynamics in a winter wheat cropping system. Can. J. Plant Sci. 81, 805–813 (2001).
Evans, R. A. & Young, J. A. Microsite requirements of downy brome (Bromus tectorum) infestation and control on sagebrush rangelands. Weed Sci. 32, 13–17 (1984).
QGIS Development Team. QGIS Geographic Information System. Open Source Geospatial Foundation Project https://qgis.org/en/site/ (2022).
Sheldrake, T. Jr. & Boodley, J. W. Plant growing in light-weight artificial mixes. Acta Hortic. 4, 155–157 (1966).
Canadian Weed Science Society – Société Canadienne de Malherbologie (CWSS-SCM). Description of 0–100 rating scale for herbicide efficacy and phytotoxicity https://weedscience.ca/cwss_scm-rating-scale/ (2018).
Littell, R. C., Milken, G. A., Stroup, W. W., Wolfinger, R. R. & Schabenberger, O. SAS for mixed models 2nd edn. (SAS Institute Inc., 2006).
R Core Team. R: A language and environment for statistical computing. (Vienna, Austria: R Foundation for Statistical Computing, 2019).
Ritz, C., Baty, F., Streibig, F. C. & Gerhard, D. Dose-response analysis using R. PLoS ONE 10, e0146021 (2015).
Google Scholar
Seefeldt, S. S., Jensen, J. E. & Fuerst, E. P. Log-logistic analysis of herbicide dose-response relationships. Weed Technol. 9, 218–227 (1995).
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