Introduction
Corn is a very important crop for the Canadian economy and for Ontario specifically. In 2021, nearly 13 million megagrams of corn were produced in Canada, 62% was produced in Ontario (StatsCan 2015; USDA 2022). Corn is the highest-value crop grown in the province of Ontario, valued at Can$1.8 billion in 2021 (OMAFRA 2021). The majority of the remainder of Canadian corn is produced in Ontario’s neighboring provinces to the east and west, Quebec and Manitoba, respectively (StatsCan 2015). The average corn yield in Canada is slightly less than U.S. yields at 9.1 Mg ha−1 (USDA 2022); corn is very usceptible to yield loss from weeds.
Since 2002, Ontario growers have been dealing with herbicide-resistant waterhemp, which is a summer annual, broadleaf weed (Costea et al. Reference Costea, Weaver and Tardif2005; Heap Reference Heap2022; Nordby et al. Reference Nordby, Hartzler and Bradley2007) and a member of the Amaranthus genus. Waterhemp is difficult to distinguish from other species in the same genus. Similar to Palmer amaranth (Amaranthus palmeri S. Watson), waterhemp is a dioecious species; male and female reproductive organs are found on separate plants that cross-pollinate, and the female plant produces small, reddish to black seeds (Costea et al. Reference Costea, Weaver and Tardif2005; Sarangi et al. Reference Sarangi, Tyre, Patterson, Gaines, Irmak, Knezevic, Lindquist and Jhala2017). Copious amounts of tiny, round seeds are produced from all Amaranthus species, including waterhemp; in one study, a single redroot pigweed (Amaranthus retroflexus L.) plant produced 291,000 seeds, while waterhemp produced 289,000 seeds (Sellers et al. Reference Sellers, Smeda, Johnson, Kendig and Ellersieck2003). Hartzler et al. (Reference Hartzler, Battles and Nordby2004) reported that a single waterhemp plant produced 4.8 million seeds, demonstrating the species’ high fecundity.
Growers in Ontario and the United States are plagued by multiple-herbicide-resistant (MHR) waterhemp populations. The first record of herbicide-resistant waterhemp in Ontario dates back to 2002, when resistance to Weed Science Society of America (WSSA) Group 2 acetolactate synthase inhibitors and WSSA Group 5 photosystem II inhibitors was confirmed (Heap Reference Heap2022). Since then, five-way resistant waterhemp populations have been confirmed in seven Ontario counties; another 11 counties have two-, three-, or four-way resistance (Symington et al. Reference Symington, Soltani and Sikkema2022). Five-way resistant waterhemp populations are resistant to Groups 2 and 5, 5-enolpyruvateshikimate-3-phosohate synthase inhibitors (WSSA Group 9), protoporphyrinogen oxidase inhibitors (WSSA Group 14), and 4-hydroxyphenylpyruvate dioxygenase (HPPD) inhibitors (WSSA Group 27) (Symington et al. Reference Symington, Soltani and Sikkema2022). Waterhemp is a widespread problem in the United States; it has been confirmed in all but nine states (GROW, n.d.; USDA 2014). In the United States, waterhemp has evolved resistance to Groups 2, 4, 5, 9, 14, 15, and 27 herbicides (Heap Reference Heap2022; Shergill et al. Reference Shergill, Barlow, Bish and Bradley2018; Strom et al. Reference Strom, Hager, Seiter, Davis and Riechers2020). Multiple resistance drastically reduces the number of herbicides that can be used effectively to control waterhemp in corn; this is very problematic due to potential corn yield loss from waterhemp interference. High waterhemp densities cause greater crop yield losses; yet, even low waterhemp densities can reduce corn yield (Cordes et al. Reference Cordes, Johnson, Scharf and Smeda2004). Corn yield losses were <10% when waterhemp was present at <82 plants m−2; in contrast, yield losses as high as 74% have been reported in corn (Cordes et al. Reference Cordes, Johnson, Scharf and Smeda2004; Steckel and Sprague Reference Steckel and Sprague2004).
Corn yield can be greatly impacted by weed interference. A meta-analysis conducted by Soltani et al. (Reference Soltani, Dille, Burke, Everman, VanGessel, Davis and Sikkema2016) concluded that there would be an average corn yield loss of 50% in North America if producers did not implement weed management tactics. Ontario growers are encouraged to keep their corn fields free of weeds from corn emergence to vegetative stage 6 (V6) to minimize yield losses from weed interference (OMAFRA 2009). This timing correlates with much of the research conducted on the critical period for weed control in corn, which varies from emergence to V14 (Hall et al. Reference Hall, Swanton and Anderson1992; Page et al. Reference Page, Cerrudo, Westra, Loux, Smith, Foresman, Wright and Swanton2012) and depends on factors including relative time of weed and crop emergence, weed species composition, weed density, soil characteristics, tillage practices, nutrient availability, environmental conditions, and planting date (Hall et al. Reference Hall, Swanton and Anderson1992; Knezevic et al. Reference Knezevic, Evans, Blankenship, Van Acker and Lindquist2002; Van Acker et al. Reference Van Acker, Swanton and Weise1993). With effective weed management programs, corn yield losses due to weed interference can be minimized (Soltani et al. Reference Soltani, Geddes, Laforest, Dille and Sikkema2022).
Use of effective waterhemp herbicides, such as the WSSA Group 15 herbicides, can result in reduced weed interference, higher corn yields, and fewer weed seeds returned to the soil weed seedbank (Gianessi and Reigner Reference Gianessi and Reigner2007; Gressel and Segel Reference Gressel and Segel1990). Acetochlor is a chloroacetanilide herbicide that can be applied preplant, preplant incorporated, preemergence (PRE), or early postemergence (ePOST) relative to the corn crop to control nonemerged small-seeded annual grass and some small-seeded annual broadleaf weeds (Anonymous 2020a; Anonymous 2020b; Shaner Reference Shaner2014). Approved for use in the United States in 1994 (de Guzman et al. Reference de Guzman, Hendley, Gustafson, van Wesenbeeck, Klein, Fuhrman, Travis, Simmons, Teskey and Durham2005), it is now widely used for weed management in corn, cotton (Gossypium hirsutum L.), and soybean [Glycine max (L.) Merr.] (Armel et al. Reference Armel, Wilson, Richardson and Hines2003; Cahoon et al. Reference Cahoon, York, Jordan, Everman, Seagroves, Braswell and Jennings2015; Jhala et al. Reference Jhala, Malik and Willis2015). Acetochlor inhibits very-long-chain fatty-acid elongases and is absorbed by the roots and shoots of emerging weed seedlings (Shaner Reference Shaner2014). Research has concluded that there is a sufficient margin of crop safety for the use of acetochlor in corn. Janak and Grichar (Reference Janak and Grichar2016) found that even when acetochlor was applied at the 2X rate, corn injury did not exceed 3%. Additionally, acetochlor is an effective waterhemp herbicide. Jhala et al. (Reference Jhala, Malik and Willis2015) reported that acetochlor (1,680 g ai ha−1) applied PRE controlled MHR waterhemp 80% 60 d after planting. Though acetochlor can be applied ePOST relative to the crop, it has little activity on emerged weeds, which need to be controlled with another weed management tactic (Armel et al. Reference Armel, Wilson, Richardson and Hines2003). The tolerance of corn to acetochlor postemergence (POST) allows for later applications that provide residual control of waterhemp, which can emerge throughout the growing season.
To the best of our knowledge, no research has been conducted on the efficacy of acetochlor herbicide mixtures PRE for MHR waterhemp control in corn in Ontario. The objective of this study was to evaluate MHR waterhemp control with acetochlor-based herbicide mixtures applied PRE in corn.
Materials and Methods
Experimental Methods
Three field trials were conducted in 2022 near Cottam, ON (42.149°N, 82.684°W), Newbury, ON (42.728°N, 81.823°W), and on Walpole Island, ON (42.562°N, 82.502°W), and two field trials were conducted in 2023 near Newbury, ON (42.690°N, 81.823°W), and on Walpole Island, ON (42.563°N, 82.504°W). At each site there were naturally occurring populations of waterhemp that were five-way resistant to the WSSA Groups 2, 5, 9, 14, and 27 herbicides (Symington et al. Reference Symington, Soltani and Sikkema2022). Soil characteristics for each site are presented in Table 1.
Year, location, and soil characteristics from three field trials (2022) and two field trials (2023) conducted in southwestern Ontario, Canada. a,b
a Soil analysis was performed by A&L Canada Laboratories Inc. (London, ON, Canada) from soil cores taken from 0 to 15 cm.
b Abbreviations: CEC, cation exchange capacity; OM, organic matter.
The previous crop at each site was soybean. Seedbed preparation consisted of vertical tillage in the fall followed by cultivation in the spring. Corn hybrids were seeded at a rate of ∼83,000 seeds ha−1 to a depth of 4.0 to 5.0 cm in rows spaced 75 cm apart. Plot measurements were 2.25 m wide (three corn rows) × 8 m long. Glyphosate (Roundup WeatherMAX®, Bayer Crop Science, Calgary, AB, Canada) (450 g ai ha−1) was applied POST to the entire experimental area to control glyphosate-susceptible waterhemp and all other weed species. The trials were established as a randomized complete block design (RCBD) with four blocks. Each trial included 15 herbicide treatments plus a nontreated (weedy) and a weed-free control. Herbicide active ingredient, rate, trade name, and manufacturer are presented in Table 2. The weed-free control was maintained weed-free with S-metolachlor/atrazine/mesotrione/bicyclopyrone (Acuron®, Syngenta Canada, Guelph, ON, Canada) (2,026 g ai ha−1) applied PRE, followed by glufosinate (Liberty® 200 SN, BASF, Mississauga, ON, Canada) (500 g ai ha−1) applied POST; hand weeding was completed when required. Herbicide treatments were applied PRE with a CO2-pressurized backpack sprayer calibrated to deliver 200 L ha−1 at 240 kPa. A spray width of 2 m was produced from a 1.5-m boom equipped with four ultra-low drift nozzles (ULD 120–02, Hypro, Pentair, London, UK) spaced 50 cm apart. Owing to miscommunication with the grower for Walpole Island 2023, the PRE application was made after corn emergence; therefore glufosinate (500 g ai ha−1) was applied to control all emerged waterhemp. Corn hybrid, corn planting, herbicide application, corn emergence, and corn harvest dates are presented in Table 3.
Herbicide active ingredient, rate, trade name, and manufacturer of products used to investigate acetochlor-based herbicide mixtures in corn for multiple-herbicide-resistant waterhemp control from three field trials (2022) and two field trials (2023) conducted in southwestern Ontario, Canada
a Applied at 1,490 g ai ha−1 for all treatments besides the coapplication of isoxaflutole/thiencarbazone-methyl + atrazine and isoxaflutole/diflufenican + atrazine.
Year, location, corn hybrid, corn planting, herbicide application, corn emergence, and corn harvest dates from five field trials (2022) and two field trials (2023) conducted in southwestern Ontario, Canada
Visible corn injury assessments were completed at 2 and 4 wk after emergence (WAE) on a percentage scale; 0 represented no corn injury, and 100 designated complete corn death. Visible MHR waterhemp control as an estimation of the biomass reduction relative to the nontreated control was assessed at 4, 8, and 12 wk after application (WAA) on a percentage scale; 0 indicated no control, and 100 indicated complete waterhemp control. At 8 WAA, waterhemp density was determined by counting and hand harvesting plants from two arbitrarily placed 0.25-m2 quadrats within each plot. Waterhemp plants were clipped at the soil surface, placed into paper bags, and kiln-dried to consistent moisture. Samples were weighed using an analytical balance, and the dry shoot biomass was recorded. In 2022, at harvest maturity, two corn rows were combined with a small plot combine; seed moisture content (%) and weight were recorded. Corn was not combined in 2023. Corn grain yield was adjusted to 15.5% moisture prior to statistical analysis.
Statistical Analysis
Statistical analysis was performed as a RCBD using the PROC GLIMMIX procedure in SAS 9.4 (SAS Institute, Cary, NC, USA). Herbicide treatment was the fixed effect; random effects included the environment (site by year), the replicate within environment, and the treatment by environment. All environments were pooled together for analysis. Variances were verified to be normal and homogenous with the use of the PROC UNIVARIATE procedure. The Shapiro–Wilk test statistic and linear studentized residuals were analyzed to ensure the assumptions of normality that residuals are random, are independent, are normally distributed, have a mean of zero, and are homogenous were met. The nontreated control and weed-free control were omitted from the data set for analysis of waterhemp control and corn injury; the weed-free control was not included for analysis of waterhemp density and biomass. Corn injury and visible waterhemp control utilized an arcsine square root transformation and normal distribution, whereas density and biomass fit a lognormal distribution. Corn yield used a normal distribution. All data that were transformed or analyzed with non-Gaussian distributions were back-transformed for presentation of results.
To determine the expected level of corn injury, and the expected level of MHR waterhemp control, Colby’s equation (Equation 1) was used. Expected values were computed by replicate for the treatments involving a mixture with acetochlor from the observed corn injury and waterhemp values for each herbicide applied alone:
${\rm Expected} = (A + B) -[(A * B)/100] $
where
A = value of first herbicide in herbicide mixture applied alone
B = value of second herbicide in herbicide mixture applied alone
Colby’s equation was modified (Equation 2) to calculate the expected values for waterhemp density and biomass by replicate. This was completed for the mixtures containing acetochlor by using the observed density and biomass values for herbicides applied alone and the density and biomass from the nontreated control:
${\rm Expected} = (A * B)/W $
where
A = value of first herbicide in mixture applied alone
B = value of second herbicide in mixture applied alone
W = value of nontreated control
After expected values were calculated, a two-tailed t-test was run in SAS to compare the expected values to the observed values for the acetochlor-based mixtures. A significance level of α = 0.05 was used to determine the nature of the relationship. The relationship was antagonistic when the observed value was less than the expected value, additive when the two values were similar, and synergistic if the observed value was greater than the expected value.
Results and Discussion
Rainfall at all sites varied from 0.2 to 30.7 mm 7 d after treatment application. Control in low-rainfall environments, though, showed the same trends as control in high-rainfall-environments.
Corn Injury
The herbicide treatments evaluated caused <1% corn injury at 2 and 4 WAE (data not presented). These results are similar to a study conducted by Janak and Grichar (Reference Janak and Grichar2016), who reported that acetochlor (5,165 g ai ha−1) caused <3% corn injury.
Multiple-Herbicide-Resistant Waterhemp Visible Control
Acetochlor (2,950 g ai ha−1) controlled MHR waterhemp 99% at 4 WAA (Table 4). Strom et al. (Reference Strom, Gonzini, Mitsdarfer, Davis, Riechers and Hager2019) reported only 75% control of waterhemp at 4 WAA with acetochlor applied at 2,700 g ai ha−1. In the study by Strom et al., the encapsulated formulation of acetochlor was used; in contrast, the emulsifiable concentrate was used in the current study. Hausman et al. (Reference Hausman, Tranel, Riechers, Maxwell, Gonzini and Hager2013) found that the emulsifiable concentrate formulation of acetochlor at 1,680 and 3,360 g ai ha−1 provided 85% and 94% control of waterhemp, respectively, at 4 WAA. Flumetsulam (50 g ai ha−1), dicamba (600 g ai ha−1), and atrazine (1,490 g ai ha−1) controlled waterhemp 79%, 79%, and 81%, respectively. This low level of control with flumetsulam and atrazine was expected because there were Group 2– and Group 5–resistant biotypes at all trial locations. Meyer et al. (Reference Meyer, Norsworthy, Young, Steckel, Bradley, Johnson, Loux, Davis, Kruger, Bararpour, Ikley, Spaunhorst and Butts2016) reported that dicamba PRE provided poor waterhemp control and suggested that this was due to rainfall, which reduced the length of residual waterhemp control with dicamba. Isoxaflutole/diflufenican (191 g ai ha−1), mesotrione + atrazine (140 + 1,490 g ai ha−1), all acetochlor mixtures, isoxaflutole/thiencarbazone-methyl + atrazine (104 + 800 g ai ha−1), isoxaflutole/diflufenican + atrazine (191 + 800 g ai ha−1), dimethenamid-p/saflufenacil (735 g ai ha−1), and S-metolachlor/atrazine/mesotrione/bicyclopyrone (2,026 g ai ha−1) controlled waterhemp 99% to 100%; control was similar to acetochlor applied alone but greater than control with flumetsulam, dicamba, or atrazine applied alone. All acetochlor mixture interactions were additive. Willemse et al. (Reference Willemse, Soltani, Hooker, Jhala, Robinson and Sikkema2021b) reported 99% control of waterhemp 4 WAA with mesotrione + atrazine and S-metolachlor/atrazine/mesotrione/bicyclopyrone PRE, which are similar to the control in the current study.
Multiple-herbicide-resistant waterhemp control at 4, 8, and 12 wk after acetochlor-based herbicide mixtures applied preemergence from five field trials conducted in 2022 and 2023 in southwestern Ontario, Canada. a,b,c
a Abbreviation: WAA, weeks after application.
b Means followed by the same letter within a column are not significantly different according to Tukey–Kramer at P < 0.05.
c Values in parentheses represent expected values from Colby’s equation.
Acetochlor controlled MHR waterhemp 98%, which was similar to all herbicide treatments except flumetsulam, dicamba, and atrazine, which provided between 57% and 66% control 8 WAA (Table 4). At 60 d after treatment, or 8.5 wk, Hausman et al. (Reference Hausman, Tranel, Riechers, Maxwell, Gonzini and Hager2013) reported that acetochlor (3,360 g ai ha−1) controlled waterhemp 87%, which is slightly lower than the findings from this study. All acetochlor-based mixtures were additive and controlled waterhemp 99%, which was similar to acetochlor, isoxaflutole/diflufenican, mesotrione + atrazine, isoxaflutole/thiencarbazone-methyl + atrazine, isoxaflutole/diflufenican + atrazine, dimethenamid-p/saflufenacil, and S-metolachlor/atrazine/mesotrione/bicyclopyrone. Armel et al. (Reference Armel, Wilson, Richardson and Hines2003) reported that acetochlor + mesotrione (1,800 + 160 g ai ha−1) PRE controlled smooth pigweed (Amaranthus hybridus L.), a relative of waterhemp, 95% to 99% at 8 WAA, which is similar to the control with mesotrione + atrazine or acetochlor + mesotrione + atrazine in the current study. Steckel et al. (Reference Steckel, Sprague and Hager2002) published that acetochlor/atrazine provided 91% waterhemp control at 8 WAA, which is similar to the control (99%) with acetochlor + atrazine in this study. Isoxaflutole/diflufenican, mesotrione + atrazine, acetochlor, all acetochlor-based mixtures, isoxaflutole/thiencarbazone-methyl + atrazine, isoxaflutole/diflufenican + atrazine, dimethenamid-p/saflufenacil, and S-metolachlor/atrazine/mesotrione/bicyclopyrone provided greater waterhemp control than dicamba, atrazine, and flumetsulam applied alone.
Dicamba, atrazine, and flumetsulam controlled waterhemp 53%, 55%, and 64%, respectively, at 12 WAA (Table 4). Acetochlor controlled MHR waterhemp 97%, and all acetochlor mixtures provided 98% to 99% control; all acetochlor mixtures were additive. Isoxaflutole/thiencarbazone-methyl + atrazine, isoxaflutole/diflufenican + atrazine (191 + 800 g ai ha−1), dimethenamid-p/saflufenacil, and S-metolachlor/atrazine/mesotrione/bicyclopyrone controlled waterhemp 95% to 99%.
Multiple-Herbicide-Resistant Waterhemp Density and Biomass
At 8 WAA, 482 waterhemp plants m−2 were in the nontreated control (Table 5). All locations contained naturally high seedbank infestation levels that varied from 54 to 6,741 plants m−2. Acetochlor reduced MHR waterhemp density 98% relative to the nontreated control. Similarly, Hausman et al. (Reference Hausman, Tranel, Riechers, Maxwell, Gonzini and Hager2013) reported that acetochlor (3,360 g ai ha−1) reduced resistant waterhemp density 96%. Flumetsulam, dicamba, and atrazine did not reduce waterhemp density relative to the nontreated control. Similarly, Meyer et al. (Reference Meyer, Norsworthy, Young, Steckel, Bradley, Johnson, Loux, Davis, Kruger, Bararpour, Ikley, Spaunhorst and Butts2016) reported that dicamba (560 g ae ha−1) reduced waterhemp density by only 19%. Isoxaflutole/diflufenican and mesotrione + atrazine reduced waterhemp density by 96% and 90%, respectively. All acetochlor mixtures reduced MHR waterhemp density 99% to 100%. The mixtures of acetochlor with flumetsulam, dicamba, atrazine, or isoxaflutole/diflufenican were additive. On the basis of Colby’s equation, one waterhemp plant was expected in the mixture of acetochlor + mesotrione + atrazine; however, five plants were observed, demonstrating an antagonistic interaction. Isoxaflutole/thiencarbazone-methyl + atrazine, isoxaflutole/diflufenican + atrazine, dimethenamid-p/saflufenacil, and S-metolachlor/atrazine/mesotrione/bicyclopyrone reduced waterhemp density 95% to 99%. Willemse et al. (Reference Willemse, Soltani, Hooker, Jhala, Robinson and Sikkema2021b) reported that S-metolachlor/atrazine/mesotrione/bicyclopyrone reduced waterhemp density 100%, which is similar to the 99% reduction in the current study.
Multiple-herbicide-resistant waterhemp density and biomass at 8 wk after acetochlor-based herbicide mixtures applied preemergence and corn yield from five field trials conducted in 2022 and 2023 in southwestern Ontario, Canada. a,b,c
a Means followed by the same letter within a column are not significantly different according to Tukey–Kramer at P < 0.05.
b Values in parentheses represent expected values from Colby’s equation.
c An asterisk (*) denotes significance at P < 0.05 between observed and expected values based on a two-tailed t-test.
There was 93.1 g m−2 of waterhemp biomass in the nontreated control at 8 WAA (Table 5). Acetochlor reduced waterhemp biomass by 95%, which was similar to all other herbicide treatments evaluated, except flumetsulam, dicamba, and atrazine, which reduced waterhemp biomass by 45%, 49%, and 55%, respectively. All acetochlor mixtures reduced waterhemp biomass by 97% to 100%; all interactions were additive. Isoxaflutole/thiencarbazone-methyl + atrazine, isoxaflutole/diflufenican + atrazine, dimethenamid-p/saflufenacil, and S-metolachlor/atrazine/mesotrione/bicyclopyrone reduced waterhemp biomass 90% to 98%.
Corn Yield
There was no difference in corn yield in this study. Despite large densities of MHR waterhemp in the nontreated control, the various herbicide treatments evaluated were able to delay waterhemp emergence long enough that when waterhemp did emerge, the corn crop was successfully able to outcompete it. The majority of emerged waterhemp likely remained small due to a lack of light as explained by the red:far-red light ratio (Markham and Stoltenberg Reference Markham and Stoltenberg2010).
In summary, acetochlor mixtures with flumetsulam, dicamba, atrazine, isoxaflutole/diflufenican, and mesotrione + atrazine controlled MHR waterhemp ≥98% at 4, 8, and 12 WAA and reduced density and biomass ≥99% and ≥97%, respectively; however, these values were similar to acetochlor applied alone. At 8 WAA, flumetsulam, dicamba, and atrazine controlled waterhemp 57% to 66%, reduced density 21% to 46%, and reduced biomass 45% to 55%. At 8 WAA, isoxaflutole/thiencarbazone-methyl + atrazine, isoxaflutole/diflufenican + atrazine, dimethenamid-p/saflufenacil, and S-metolachlor/atrazine/mesotrione/bicyclopyrone controlled waterhemp 96% to 99%, reduced density 95% to 99%, and reduced biomass 90% to 98%. No corn yield differences were present at harvest. Although acetochlor-based herbicide mixtures did not improve waterhemp control and did not reduce waterhemp density and biomass relative to acetochlor, these herbicide mixtures might reduce the selection intensity for the evolution of further herbicide-resistant waterhemp biotypes in Ontario fields. Delaying herbicide resistance should be an important consideration when developing best management practices for waterhemp control programs in Ontario corn production.
Practical Implications
Waterhemp continues to develop resistance to new herbicide modes of action and has become a challenging weed to control in many parts of North America. Waterhemp populations have evolved resistance to five herbicide modes of action (Groups 2, 5, 9, 14, and 27), which are present across southern Ontario; this has increased the challenge of controlling this competitive weed species in corn, the most important grain crop produced worldwide and the highest-value agronomic crop in Ontario. Acetochlor is a Group 15 soil-applied residual herbicide that has activity on many small-seeded annual grasses and some small-seeded annual broadleaf weeds. The mixtures of acetochlor with flumetsulam, dicamba, atrazine, isoxaflutole/diflufenican, or mesotrione + atrazine applied PRE caused minimal injury or yield reduction in corn. Acetochlor applied alone provided excellent control of MHR waterhemp. Similarly, the mixtures of acetochlor with flumetsulam, dicamba, atrazine, isoxaflutole/diflufenican, or mesotrione + atrazine applied PRE provided ≥98% control of MHR waterhemp at 12 WAA. There were no differences among herbicide mixtures for waterhemp control or corn yield. This study shows that the acetochlor herbicide mixtures evaluated provide excellent waterhemp control; however, control was not greater than with acetochlor alone. Combining acetochlor with the broadleaf herbicides evaluated could reduce selection intensity for the evolution of herbicide-resistant biotypes.
Acknowledgments
We thank Chris Kramer, Erica Nelson, and summer staff at the University of Guelph, Ridgetown Campus for their field support,
Funding
This research was funded by Bayer Crop Science Inc., Ontario Bean Growers (OBG), and the Ontario Agri-Food Innovation Alliance.
Competing interests
AK is the Senior Agronomic Development Representative, Bayer Crop Science Inc. The other authors declare no conflicts of interest.
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