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Glyphosate-resistant downy brome (Bromus tectorum) control using alternative herbicides applied postemergence

Published online by Cambridge University Press:  23 March 2023

Charles M. Geddes*
Affiliation:
Research Scientist, Agriculture and Agri-Food Canada, Lethbridge Research and Development Centre, Lethbridge, AB, Canada
Mattea M. Pittman
Affiliation:
Research Assistant, Agriculture and Agri-Food Canada, Lethbridge Research and Development Centre, Lethbridge, AB, Canada
*
Author for correspondence: Charles M. Geddes, Agriculture and Agri-Food Canada, Lethbridge Research and Development Centre, 5403 1st Avenue South, Lethbridge, AB T1J 4B1 Email: Charles.Geddes@agr.gc.ca
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Abstract

Downy brome is a troublesome facultative winter-annual grass weed that invades agricultural and nonagricultural lands in western North America and can cause substantial crop yield losses particularly in no-till winter wheat. Glyphosate-resistant (GR) downy brome was identified in southern Alberta in 2021, representing the first confirmation of a GR grass weed in Canada. This study was designed to evaluate alternative herbicides and herbicide mixtures applied postemergence (POST) for control of GR and glyphosate-susceptible (GS) downy brome populations at the seedling stage under a controlled environment. The GR downy brome did not exhibit cross-resistance to other herbicides applied POST. Quizalofop alone or in combination with imazamox, imazamox + bentazon, or imazamox/imazethapyr, and glufosinate mixed with either clethodim or tiafenacil resulted in ≥80% visible control, plant mortality, and reduction in biomass of both GR and GS downy brome populations 21 d after treatment. Diligent stewardship of these remaining herbicide options is warranted since downy brome populations with resistance to herbicides that inhibit acetyl-CoA carboxylase or acetolactate synthase have been reported in neighboring states.

Type
Note
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© His Majesty the King in Right of Canada, 2023. Published by Cambridge University Press on behalf of the Weed Science Society of America

Introduction

Downy brome is an invasive grass weed in the semiarid region of western North America. Native to Europe, this species was introduced to North America in the mid-1800s as an early-season forage grass used for livestock feed (Mack Reference Mack1981). Multiple isolated introductions of the species, followed by rapid spread throughout western North America, resulted in significant infestations in cropland, rangeland, and nonagricultural areas (Mack Reference Mack1981; Upadhyaya et al. Reference Upadhyaya, Turkington and McIlvride1986). A midseason survey of annual crops in Alberta, Canada, found annual brome species [including downy brome and Japanese brome (Bromus japonicus Houtt.)] primarily in the southern ecoregions (Leeson et al. Reference Leeson, Hall, Neeser, Tidemann and Harker2019). The species is considered winter-annual but can exhibit spring-annual or biennial growth if low precipitation limits fall seed germination (Thill et al. Reference Thill, Beck and Callihan1984). As a facultative winter-annual grass weed, this species can be problematic, particularly in winter wheat crops, where it can cause up to 92% yield loss at high densities (Blackshaw Reference Blackshaw1993; Rydrych and Muzik Reference Rydrych and Muzik1968).

Downy brome is a cleistogamous self-pollinating species that reproduces by seed (Evans and Young Reference Evans and Young1984; Mitich Reference Mitich1999; Upadhyaya et al. Reference Upadhyaya, Turkington and McIlvride1986). Seed set takes place typically in May or June (Ball et al. Reference Ball, Frost and Gitelman2004), producing up to 7,500 seeds per plant (Ostlie and Howatt Reference Ostlie and Howatt2013) depending on plant density and the environment (Upadhyaya et al. Reference Upadhyaya, Turkington and McIlvride1986). The seed exhibits little to no primary dormancy and usually germinates within 1 yr after dispersal (Burnside et al. Reference Burnside, Wilson, Weisberg and Hubbard1996). However, some seeds can persist for 2 to 5 yr in the soil seedbank (Upadhyaya et al. Reference Upadhyaya, Turkington and McIlvride1986).

In 2021, a population of glyphosate-resistant (GR) downy brome was confirmed in a GR canola (Brassica napus L.) field in Taber County, Alberta (Geddes and Pittman Reference Geddes and Pittman2022). This followed the discovery of three GR downy brome populations in Washington State prior to 2020 (Zurger and Burke Reference Zurger and Burke2020). The Alberta population exhibited up to 11.9-fold resistance to glyphosate in dose-response bioassays, and all seedlings from the population survived glyphosate treatment at 900 g ae ha−1 under controlled environmental conditions. Estimated glyphosate rates required for 80% control of the population ranged from 2,795 to 4,511 g ha−1, well above common field use rates. Since downy brome is primarily self-pollinated (Evans and Young Reference Evans and Young1984), seed contamination of equipment and grain represents the greatest risk of GR biotype spread (Geddes and Pittman Reference Geddes and Pittman2022). The short-lived seedbank of downy brome suggests that adequate management for a few years in a row could effectively deplete downy brome populations (Sebastian et al. Reference Sebastian, Nissen, Sebastian and Beck2017). Therefore, the objectives of this research were to determine 1) which alternative postemergence (POST) herbicides and herbicide mixtures effectively manage GR downy brome at the seedling stage under controlled-environment, and 2) whether the response of GR downy brome to POST-applied herbicides was similar to that of a glyphosate-susceptible (GS) population.

Materials and Methods

Collection of Plant Material

Collection of mature seed from the GR and GS downy brome populations followed the methods described by Geddes and Pittman (Reference Geddes and Pittman2022). In brief, mature seed was collected in 2021 by sampling about 100 downy brome plants at random from each field. The seed was air-dried at ambient room temperature, cleaned by hand, homogenized, and stored at 4 C prior to use. The GR downy brome population was collected from the field where it was confirmed in Taber County, Alberta, while the GS population was collected from a field in Lethbridge County, Alberta (Geddes and Pittman Reference Geddes and Pittman2022).

Experimental Design and Treatment Structure

The experiment followed a two-way factorial randomized complete block design with four replications. The first factor was the downy brome population (GR vs. GS), and the second factor was the herbicide treatment, which included 20 herbicides or herbicide mixtures and an untreated control (Table 1). The POST herbicide treatments were selected by including those that were registered for control or suppression of downy brome or Japanese brome in Alberta (Anonymous 2022), in addition to consulting both private and public industry experts. The experiment was repeated in two separate greenhouses at the Agriculture and Agri-Food Canada Lethbridge Research and Development Centre.

Table 1. Herbicide treatments evaluated for management of glyphosate-resistant and glyphosate-susceptible downy brome postemergence.

a Abbreviations: EC, emulsifiable concentrate; SC, suspension concentrate; SN, solution; WG, water dispersible granules; OD, oil dispersion.

b Manufacturer full names: ADAMA Agricultural Solutions Canada, Ltd.; AMVAC Canada; BASF Canada Inc.; Bayer CropScience Inc.; Corteva Agriscience Canada Company; Gowan Canada; NewAgco Inc.; UPL AgroSolutions.

c Mixture of MPower Samurai® + MPower Boa® + MPower Quiz®

d Mixture of MPower Samurai® + MPower Independence®

Experimental Logistics and Data Collection

Seeds from each downy brome population were planted at a depth of 1 cm in 12 × 12 × 15 cm plastic greenhouse pots filled with modified Cornell soilless potting medium containing about 760, 960, and 510 mg N-P-K L−1 mixture (Sheldrake and Boodley Reference Sheldrake and Boodley1966). The pots were placed in the greenhouse and watered daily to field capacity. The greenhouse used for the first run was equipped with MITRA light-emitting diode (LED) bulbs (Heliospectra Canada Inc., Toronto, ON) delivering 200 µmol m−2 s−1 supplemental light and followed an 18-h photoperiod with 22/11 C temperature regime. The greenhouse used for the second run was equipped with RAZR 3 LED bulbs (Fluence, Austin, TX) delivering 230 µmol m−2 s−1 supplemental light, and followed a 16-h photoperiod with 20/17 C temperature regime. The emerged seedlings were thinned to 15 plants per pot. The herbicide treatments were applied using a moving-nozzle cabinet sprayer when the downy brome plants reached the two-leaf stage. The sprayer was equipped with a flat-fan 8002VS TeeJet® nozzle (Spraying Systems Co., Wheaton, IL) delivering 200 L ha−1 spray solution at 275 kPa 50 cm above the midpoint of the plant canopy. The nozzle traveled at 2.4 km h−1.

Visible control of the plants in each experimental unit (pot) was estimated at 7 and 21 d after treatment (DAT) following the methodology described by the Canadian Weed Science Society/Société Canadienne de Malherbologie (2018). Plant survival was determined 21 DAT by categorizing the health status of each plant in each pot as living (no injury or some injury with new regrowth) or dead (dead or nearly dead). Plant biomass fresh weight (FW) was determined 21 DAT for each pot by harvesting the plants down to the soil surface and weighing. The biomass samples were then dried at 60 C for 1 wk and biomass dry weight (DW) was determined.

Statistical Analysis

Visible control (7 and 21 DAT), plant survival, and biomass (FW and DW) data were analyzed using ANOVA in the MIXED procedure of SAS Studio software (version 3.81; SAS Institute Inc., Cary, NC). The initial model included downy brome population, herbicide treatment, experimental run, and their interactions as fixed factors, whereas experimental replication nested within run was a random factor. Variance component analyses (Littell et al. Reference Littell, Milliken, Stroup, Wolfinger and Schabenberger2006) determined that all main and interaction factors including experimental run accounted for <5% of the total sums of squares for each response variable. Therefore, subsequent analyses pooled data across runs. Residual conformation to the Gaussian distribution was tested using the Shapiro-Wilk statistic, while heteroscedasticity was assessed by visual inspection of the residuals over the predicted values (Kozak and Piepho Reference Kozak and Piepho2018). The square root transformation and arcsine square root transformation were used to meet the assumptions of ANOVA for biomass and plant survival data, respectively. Data were adjusted further for homogeneity of variance using the repeated group option based on minimization of the Akaike information criterion (Littell et al. Reference Littell, Milliken, Stroup, Wolfinger and Schabenberger2006). Extreme outliers were removed using Lund’s test (Lund Reference Lund1975). Mean separation was determined based on Tukey’s HSD (α = 0.05). The CORR procedure with SAS software was used to determine correlations among visible control (7 and 21 DAT), plant survival, biomass FW, and biomass DW (21 DAT) in response to the herbicide treatments.

Results and Discussion

A downy brome population by herbicide treatment interaction (P < 0.05) was present for all response variables, which was caused by either very poor (visible control at 7 DAT) or no control (all other response variables) of the GR downy brome with glyphosate applied at 900 g ha−1 (Table 2). In contrast, glyphosate (900 g ha−1), when visually assessed, controlled the GS downy brome by 54% at 7 DAT, which increased to excellent control (≥90%) based on all response variables measured 21 DAT. These data agree with previous reports from southern Alberta where glyphosate applied at 180 to 200 g ha−1 controlled herbicide-susceptible downy brome >80% (Blackshaw Reference Blackshaw1991). In the current study, the level of control in response to glyphosate differed (P < 0.001) between the GR and GS populations for all response variables (Table 2). No other differences were observed between the GR and GS populations for any other herbicide treatments with the exception of visible control 21 DAT in response to tiafenacil (50 g ai ha−1). The GR population had 28% less visible control 21 DAT in response to tiafenacil than the GS population (P < 0.001). However, differences between the populations in response to this herbicide alone were absent for all other response variables. This suggests that overall, tiafenacil resulted in similar control of both GR and GS populations, because the quantitative data (i.e., plant biomass) did not support the qualitative estimate (visible control 21 DAT). Negligible differences in control of the GR and GS populations for all herbicide treatments, except for glyphosate alone, suggests that the GR population did not exhibit cross-resistance to other herbicides applied POST.

Table 2. Visible control 7 DAT, and visible control, plant survival, biomass fresh weight and biomass dry weight 21 DAT of glyphosate-resistant and glyphosate-susceptible downy brome populations with a range of postemergence herbicides and herbicide mixtures under controlled-environment.a,b

a Abbreviations: DAT, days after treatment; DW, dry weight; FW, fresh weight; GR, glyphosate-resistant population; GS, glyphosate-susceptible population.

b Within columns, different letters indicate significant difference based on Tukey’s HSD (α = 0.05).

c Data are back-transformed arcsine square root means.

d Data are back-transformed square root means.

e For each treatment, *** indicates a significant difference between GR and GS populations at P < 0.001; no other differences were observed (P > 0.05).

Several POST-applied herbicides or herbicide mixtures resulted in either good or excellent control of both the GR and GS downy brome populations. The Pest Management Regulatory Agency (2016) defines weed control as ≥80% efficacy, whereas weed suppression is considered ≥60% but <80% efficacy. Based on all response variables collected 21 DAT, quizalofop alone (48 g ai ha−1), imazamox + quizalofop (20 + 36 g ai ha−1), imazamox + bentazon + quizalofop (20 + 430 + 48 g ai ha−1), imazamox/imazethapyr + quizalofop (15/15 + 36 g ai ha−1), glufosinate + clethodim (500 + 45 g ai ha−1), or glufosinate + tiafenacil (500 + 50 g ai ha−1) controlled both the GR and GS downy brome populations ≥80% (Table 2). Glufosinate + tiafenacil (500 + 50 g ha−1) (a glutamine synthetase inhibitor, categorized as a Group 10 herbicide by the Herbicide Resistance Action Committee [HRAC], mixed with a protoporphyrinogen oxidase inhibitor, HRAC Group 14) was the only herbicide treatment to result in excellent (≥90%) control of both populations based on all response variables, which was evident by 7 DAT and extended to 21 DAT (the latest measurement timing). While this herbicide mixture was effective, it has not been registered for use in western Canada to date (Anonymous 2022). Imaxamox/imazapyr (20/9 g ai ha−1) and both low and high rates of pyroxsulam (11 and 15 g ai ha−1) (two herbicides that inhibit acetolactate synthase [ALS; HRAC Group 2]) controlled both downy brome populations based on a ≥80% reduction in biomass FW and DW, but not visible control or plant survival. Therefore, these herbicides sufficiently stunted downy brome growth and development but did not result in complete plant death.

Downy brome visible control 21 DAT was highly correlated with plant survival, biomass FW, and biomass DW (Pearson R = −0.86, −0.86, and −0.83, respectively; P < 0.001) across the herbicide treatments (Table 3). Collinearity of these response variables was expected because the visible control rating scale is a subjective composite assessment designed to estimate weed growth reduction in response to herbicide treatment as a function of weed density, biomass, and height, among other growth-related factors (Canadian Weed Science Society/Société Canadienne de Malherbologie 2018). It is important to note, however, that visible control 7 DAT and plant survival 21 DAT were correlated with biomass FW and DW to a lesser (albeit significant; P < 0.001) degree than visible control 21 DAT (Table 3). These results suggest that despite minor differences among qualitative and quantitative estimates of herbicide treatments achieving the ≥80% management threshold labeled control (Table 2), visible control 21 DAT was a suitable estimator of growth reduction as a composite function of plant density and biomass.

Table 3. Pearson correlation coefficients showing the correlation among downy brome visible control at 7 and 21 DAT, and plant survival, biomass fresh weight, and biomass dry weight at 21 DAT in response to a range of herbicides applied postemergence. a, b

a Abbreviations: DAT, days after treatment; DW, dry weight; FW, fresh weight.

b Numbers indicate Pearson R values; *** indicates a significant correlation at P < 0.001.

The current study identified several options for managing GR and GS downy brome POST in canola, pulses, and many other lower-acreage crops that are grown in western Canada (Anonymous 2022). Most of these options relied on either quizalofop (a herbicide that inhibits acetyl-CoA carboxylase [ACCase; HRAC Group 1]), imazamox (a HRAC Group 2 herbicide that inhibits ALS), or both active ingredients to achieve adequate control (Table 2). An exception was glufosinate + clethodim (a glutamine synthetase inhibitor and an ACCase inhibitor), which is registered for use POST in glufosinate-resistant canola. However, the cereal phase of crop rotations represents a weak link in managing GR downy brome POST. This is because pyroxsulam or imazamox (two ALS-inhibiting herbicides) were the only herbicides registered for use in cereal crops in Alberta (Anonymous 2022) that controlled downy brome ≥80% based on biomass FW (Table 2); but not visible control or plant survival. Pyroxsulam is registered for use POST in spring wheat, durum wheat (Triticum durum Desf.) and winter wheat in western Canada, while imazamox is the grass component of Altitude FX® 3 (BASF Canada Inc., Mississauga, ON) registered for use in imidazolinone-resistant wheat. However, these active ingredients are not registered for use in other cereal crops grown in this region (Anonymous 2022). In western Canada, both fall- and spring-applied pyroxsulam in winter wheat controlled herbicide-susceptible downy brome >70% in the spring, and reduced biomass and seed-producing culms by about 85% and 70%, respectively (Johnson et al. Reference Johnson, Wang, Geddes, Coles, Hamman and Beres2018). However, both fall- and spring-applied thiencarbazone or flucarbazone suppressed downy brome at best. Similarly, fall- or spring-applied pyroxsulam managed downy brome in winter wheat better than or similar to a range of other ALS-inhibiting herbicides in Kansas, although none of the herbicides tested controlled downy brome >78% (Reddy et al. Reference Reddy, Stahlman and Geier2013). Across three locations in North Dakota, imazamox controlled downy brome the most (averaging 73% control) and had numerically lower biomass, seed, and stem number in spring wheat compared with other POST herbicides (Ostlie and Howatt Reference Ostlie and Howatt2013). Therefore, limited herbicide options for effective downy brome management POST in wheat risks selection for ALS inhibitor resistance in downy brome populations. Diligent stewardship of the alternative herbicides identified to manage GR downy brome is necessary to prevent further selection of resistance to other herbicide modes of action.

While ACCase or ALS inhibitor-resistant downy brome has not been documented in Canada, these biotypes have been reported in nearby U.S. states. For example, 52% of the downy brome populations tested from Washington State between 2013 and 2020 were cross-resistant to multiple chemical families of ALS-inhibiting herbicides, while 20% were resistant to a single ALS inhibitor, 2% were both ACCase and ALS inhibitor-resistant, and 6% were glyphosate-resistant (Zurger and Burke Reference Zurger and Burke2020). In addition, ACCase inhibitor-resistant downy brome was reported in Oregon (Ball et al. Reference Ball, Frost and Bennett2007), while ALS inhibitor-resistant biotypes have been reported in Oregon and Montana (Kumar and Jha Reference Kumar and Jha2017; Park and Mallory-Smith Reference Park and Mallory-Smith2004). Two of these three states where ACCase and/or ALS inhibitor-resistant downy brome was reported border Alberta to the south, suggesting that in addition to the risk of in situ selection due to recurrent herbicide application, there is also a risk of these biotypes entering Alberta across the Canada/United States border.

Practical Implications

The current study identified several POST herbicide options that may be used to control GR and GS downy brome populations at the seedling stage. It should be noted, however, that while controlled-environment studies can help remove the confounding effects of variable weather during or after herbicide treatment, this can sometimes also result in different efficacy from that observed under field conditions. In addition, our study evaluated herbicide efficacy when applied at the two-leaf stage of downy brome, but not at later stages of growth and development. Reduced herbicidal control of downy brome has been observed on occasion when the plants were at more advanced stages of growth and development (Geier et al. Reference Geier, Stahlman, Peterson and Claassen2011; Metier et al. Reference Metier, Lehnhoff, Mangold, Rinella and Rew2020). For example, glyphosate and four graminicides managed downy brome more effectively under controlled environment when the plants were <11 cm in height and had <12 leaves (Metier et al. Reference Metier, Lehnhoff, Mangold, Rinella and Rew2020). Among four graminicides, Metier et al. (Reference Metier, Lehnhoff, Mangold, Rinella and Rew2020) found that quizalofop or fluazifop controlled downy brome better than clethodim or sethoxydim when the plants were ≥8.5 cm in height. In the field, improved control of downy brome using ALS-inhibiting herbicides applied in the fall compared with the spring was observed by Geier et al. (Reference Geier, Stahlman, Peterson and Claassen2011) but not by Johnson et al. (Reference Johnson, Wang, Geddes, Coles, Hamman and Beres2018). Since GR downy brome has been documented in only a single field in Alberta to date, we did not have the option to repeat this work under field conditions. Nevertheless, results from the current study should be used by farmers and agronomists to support herbicide decisions and to develop comprehensive herbicide programs to help mitigate the evolution and manage the spread of GR downy brome. Further research is warranted to determine which preemergence (PRE) herbicides could contribute to an effective herbicide layering strategy targeting GR downy brome. In Montana, for example, layering propoxycarbazone (an ALS-inhibiting herbicide) or pyroxasulfone (a very-long-chain fatty acid–inhibiting herbicide [HRAC Group 15]) applied PRE with imazamox POST controlled herbicide-susceptible downy brome >97% in imidazolinone-resistant winter wheat (Kumar et al. Reference Kumar, Jha and Jhala2017). In addition, the herbicide options identified by the current research should comprise one part of a more comprehensive integrated weed management program including nonchemical weed management practices. Such practices may include growing competitive cultivars (Blackshaw Reference Blackshaw1994a), crop rotations including diverse crop life cycles (Blackshaw Reference Blackshaw1994b), strategic nitrogen fertilization (Anderson Reference Anderson1991), judicious and occasional tillage (Blackshaw et al. Reference Blackshaw, Larney, Lindwall, Watson and Derksen2001), and cleaning of equipment before entering and leaving fields (Geddes and Pittman Reference Geddes and Pittman2022). Since the spread of GR downy brome is seed-limited, and the soil seedbank persists for only 2 to 5 yr (Upadhyaya et al. Reference Upadhyaya, Turkington and McIlvride1986), diligent efforts to mitigate downy brome seed production and return to the soil seedbank could go a long way to preventing the spread of GR downy brome beyond the fields where it was initially confirmed.

Acknowledgments

We thank the agronomist who brought the first suspected case of glyphosate-resistant downy brome to our attention. We also thank the weed science professionals who provided their expertise in designing the treatment list, and the crop protection companies for providing the herbicide samples. Funding for this research was provided by the governments of Manitoba and Canada through the Canadian Agricultural Partnership, the Alberta Wheat Commission, Manitoba Canola Growers Association, Manitoba Crop Alliance, Manitoba Pulse & Soybean Growers, Saskatchewan Ministry of Agriculture, Saskatchewan Wheat Development Commission, and Western Grains Research Foundation through project J-002466. We also thank Agriculture and Agri-Food Canada for supporting the ongoing efforts of the Prairie Biovigilance Network through project J-002517. No conflicts of interest have been declared.

Footnotes

Associate Editor: Sandeep Singh Rana, Bayer Crop Science

References

Anderson, RL (1991) Timing of nitrogen application affects downy brome (Bromus tectorum) growth in winter wheat. Weed Technol 5:582585 CrossRefGoogle Scholar
Anonymous (2022) Crop Protection 2022. Calgary: Alberta Wheat Commission. 692 pGoogle Scholar
Ball, DA, Frost, SM, Gitelman, AI (2004) Predicting timing of downy brome (Bromus tectorum) seed production using growing degree days. Weed Sci 52:518524 CrossRefGoogle Scholar
Ball, DA, Frost, SM, Bennett, LH (2007) ACCase-inhibitor herbicide resistance in downy brome (Bromus tectorum) in Oregon. Weed Sci 55:8194 CrossRefGoogle Scholar
Blackshaw, RE (1991) Control of downy brome (Bromus tectorum) in conservation fallow systems. Weed Technol 5:557562 CrossRefGoogle Scholar
Blackshaw, RE (1993) Downy brome (Bromus tectorum) density and relative time of emergence affects interference in winter wheat (Triticum aestivum). Weed Sci 41:551556 CrossRefGoogle Scholar
Blackshaw, RE (1994a) Differential competitive ability of winter wheat cultivars against downy brome. Agron J 86:649654 CrossRefGoogle Scholar
Blackshaw, RE (1994b) Rotation affects downy brome (Bromus tectorum) in winter wheat (Triticum aestivum). Weed Technol 8:728732 CrossRefGoogle Scholar
Blackshaw, RE, Larney, FJ, Lindwall, CW, Watson, PR, Derksen, DA (2001) Tillage intensity and crop rotation affect weed community dynamics in a winter wheat cropping system. Can J Plant Sci 81:805813 CrossRefGoogle Scholar
Burnside, OC, Wilson, RG, Weisberg, S, Hubbard, KG (1996) Seed longevity of 41 weed species buried 17 years in eastern and western Nebraska. Weed Sci 44:7486 CrossRefGoogle Scholar
Canadian Weed Science Society/Société Canadienne de Malherbologie (2018) Description of 0–100 rating scale for herbicide efficacy and phytotoxicity. https://weedscience.ca/cwss_scm-rating-scale/. Accessed: October 31, 2022Google Scholar
Evans, RA, Young, JA (1984) Microsite requirements of downy brome (Bromus tectorum) infestation and control on sagebrush rangelands. Weed Sci 32:1317 CrossRefGoogle Scholar
Geddes, CM, Pittman, MM (2022) First report of glyphosate-resistant downy brome (Bromus tectorum L.) in Canada. Sci Rep 12:18893 CrossRefGoogle ScholarPubMed
Geier, PW, Stahlman, PW, Peterson, DW, Claassen, MM (2011) Pyroxsulam compared with competitive standards for efficacy in winter wheat. Weed Technol 25:316321 CrossRefGoogle Scholar
Johnson, EN, Wang, Z, Geddes, CM, Coles, K, Hamman, B, Beres, BL (2018) Pyroxasulfone is effective for management of Bromus spp. in winter wheat in western Canada. Weed Technol 32:739748 CrossRefGoogle Scholar
Kozak, M, Piepho, HP (2018) What’s normal anyway? Residual plots are more telling than significance tests when checking ANOVA assumptions. J Agron Crop Sci 204:8698 CrossRefGoogle Scholar
Kumar, V, Jha, P, Jhala, AJ (2017) Using pyroxasulfone for downy brome (Bromus tectorum L.) control in winter wheat. Am J Plant Sci 8:23672378 CrossRefGoogle Scholar
Kumar, V, Jha, P (2017) First report of Ser653Asn mutation endowing high-level resistance to imazamox in downy brome (Bromus tectorum L.). Pest Manag Sci 73:25852591 CrossRefGoogle ScholarPubMed
Leeson, JY, Hall, LM, Neeser, C, Tidemann, B, Harker, KN (2019) Alberta weed survey of annual crops in 2017. Weed Survey Series Publication 19–1. Saskatoon, SK: Agriculture and Agri-Food Canada. 275 pGoogle Scholar
Littell, RC, Milliken, GA, Stroup, WW, Wolfinger, RD, Schabenberger, O (2006) SAS® for Mixed Models. 2nd ed. Cary, NC: SAS Institute Inc. 634 pGoogle Scholar
Lund, RE (1975) Tables for an approximate test for outliers in linear models. Technometrics 15:473476 CrossRefGoogle Scholar
Mack, RN (1981) Invasion of Bromus tectorum L. into western North America: An ecological chronicle. Agro-Ecosystems 7:145165 CrossRefGoogle Scholar
Metier, EP, Lehnhoff, EA, Mangold, J, Rinella, MJ, Rew, LJ (2020) 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 34:284291 CrossRefGoogle Scholar
Mitich, LW (1999) Downy brome (Bromus tectorum L.). Weed Technol 13:664668 CrossRefGoogle Scholar
Ostlie, MH, Howatt, KA (2013) Downy brome (Bromus tectorum) competition and control in no-till spring wheat. Weed Technol 27:502508 CrossRefGoogle Scholar
Park, KW, Mallory-Smith, CA (2004) Physiological and molecular basis for ALS inhibitor resistance in Bromus tectorum biotypes. Weed Res 44:7177 CrossRefGoogle Scholar
Reddy, S, Stahlman, P, Geier, P (2013) Downy brome (Bromus tectorum L.) and broadleaf weed control in winter wheat with acetolactate synthase-inhibiting herbicides. Agronomy 3:340348 CrossRefGoogle Scholar
Rydrych, DJ, Muzik, TK (1968) Downy brome competition and control in dryland wheat. Agron J 60:279280 CrossRefGoogle Scholar
Sebastian, DJ, Nissen, SJ, Sebastian, JR, Beck, JG (2017) Seed bank depletion: They key to long-term downy brome (Bromus tectorum L.) management. Rangeland Ecol Manag 70:477483 CrossRefGoogle Scholar
Sheldrake, R, Boodley, JW (1966) Plant growing in light-weight artificial mixes. Acta Hortic 4:155157 CrossRefGoogle Scholar
Thill, DC, Beck, G, Callihan, RH (1984) The biology of downy brome (Bromus tectorum). Weed Sci 32:712 CrossRefGoogle Scholar
Upadhyaya, MK, Turkington, R, McIlvride, D (1986) The biology of Canadian weeds. 75. Bromus tectorum L. Can J Plant Sci 66:689709 CrossRefGoogle Scholar
Zurger, RJ, Burke, IC (2020) Testing in Washington identifies widespread postemergence herbicide resistance in annual grasses. Crops Soils Mag 53:1319 CrossRefGoogle Scholar
Figure 0

Table 1. Herbicide treatments evaluated for management of glyphosate-resistant and glyphosate-susceptible downy brome postemergence.

Figure 1

Table 2. Visible control 7 DAT, and visible control, plant survival, biomass fresh weight and biomass dry weight 21 DAT of glyphosate-resistant and glyphosate-susceptible downy brome populations with a range of postemergence herbicides and herbicide mixtures under controlled-environment.a,b

Figure 2

Table 3. Pearson correlation coefficients showing the correlation among downy brome visible control at 7 and 21 DAT, and plant survival, biomass fresh weight, and biomass dry weight at 21 DAT in response to a range of herbicides applied postemergence.a,b