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Comparing alternative nonselective herbicides in Oregon and New Mexico

Published online by Cambridge University Press:  13 November 2024

Clint Mattox*
Affiliation:
Research Weed Scientist, U.S. Department of Agriculture Agriculture Research Service, Forage Seed and Cereal Research Unit, Corvallis, OR, USA
Leslie Beck
Affiliation:
Extension Weed Specialist, Department of Extension Plant Sciences, New Mexico State University, Las Cruces, NM, USA
Tim Stock
Affiliation:
Oregon State University School IPM Program Director, Department of Horticulture, Oregon State University, Corvallis, OR, USA
Bernd Leinauer
Affiliation:
Extension Turfgrass Specialist, Department of Extension Plant Sciences, New Mexico State University, Las Cruces, NM, USA
Alec Kowalewski
Affiliation:
Turfgrass Specialist, Department of Horticulture, Oregon State University, Corvallis, OR, USA
*
Corresponding author: Clint Mattox; Email: [email protected]
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Abstract

Municipalities are considering alternatives to traditional herbicides for suppressing weeds and vegetation in areas frequented by the public. Two field experiments were conducted to test the efficacy of alternative nonselective herbicides: one in Corvallis, OR, on a mixed lawn of perennial ryegrass, annual bluegrass, and broadleaf weeds, and another in Las Cruces, NM, on a predominantly bermudagrass lawn with broadleaf weeds. The experimental objective was to quantify and compare the effects of repeated applications of 10 nonselective herbicides to terminate a lawn with mixed vegetation. Applications were made every 2 wk for four applications starting on April 15, 2022, in Corvallis and on May 26, 2022, in Las Cruces. Data collected included the percent green cover over time calculated using an area under the percent green cover progress curve (AUPGCPC), the percent green cover at the conclusion of the experiment, and the changes in monocot and dicot densities over the course of the experiment. All treatments resulted in a lower AUPGCPC compared to water only, except for mint oil + sodium lauryl sulfate + potassium sorbate. The only treatments with average percent green cover <50% were ammoniated soap of fatty acids + maleic hydrazide (47% green cover) in Corvallis and pelargonic acid (38%) in Las Cruces, suggesting that more applications would be needed to terminate the lawn under similar circumstances. At the conclusion of the experiment, the water-only plots averaged 90% and 93% green cover in Corvallis and Las Cruces, respectively. The changes in monocot and dicot densities over the course of the experiment indicated that some of the products tested may be more sensitive to dicots, or, in some cases, monocots, suggesting a potential for future selective herbicide research in certain locations and climates.

Type
Research Article
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (https://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided that no alterations are made and the original article is properly cited. The written permission of Cambridge University Press must be obtained prior to any commercial use and/or adaptation of the article.
Copyright
© The Author(s), 2024. Published by Cambridge University Press on behalf of Weed Science Society of America

Introduction

Weed control is one of the most burdensome and costly aspects of land management throughout the United States. Nonnative and invasive weeds on both private and public lands are an important issue, resulting in damages and control costs of billions of dollars annually (Fuller and Mangold Reference Fuller and Mangold2017; Pimentel et al. Reference Pimentel, Suniga and Morrison2005). Herbicides are commonly used to suppress weeds; however, weed management in urban landscapes can be challenging, especially in areas where public exposure to pesticides is concerning. Municipal areas and school properties are of particular concern because young people are often more vulnerable to pesticides (Landrigen et al. Reference Landrigen, Kimmel, Correa and Eskenazi2004), and exposure to pesticides may affect children’s behavioral and neurological development (Liu and Schelar Reference Liu and Schelar2012). Exposure to pesticides among students and staff at schools has been documented (Alarcon et al. Reference Alarcon, Calvert, Blondell, Mehler, Sievert, Propeck, Tibbetts, Becker, Lackovic, Soileau, Das, Beckman, Male, Thomsen and Stanbury2005), indicating that more work can be done to reduce these risks. Today, most states have pesticide regulations specific to school areas (Hurley et al. Reference Hurley, Green, Gouge, Bruns, Stock, Bradband, Murray, Westinghouse, Ratcliffe, Pehlman and Crane2014).

Examples of pesticide restrictions in the urban environment include a pesticide ban, except for a human health emergency, in daycare through eighth-grade schools and on their grounds in Connecticut (State of Connecticut 2005), and similar rules are in place in New York (NYSDEC 2010). Other locations with pesticide restrictions include South Portland, Maine, where only pesticides listed as “allowed” on the U.S. Department of Agriculture (USDA) National List for organic crop production (USDA-AMS 2023) or “minimum-risk pesticides” as defined by the U.S. Environmental Protection Agency (EPA 2023) may be used on municipal property (City of South Portland 2024). A School IPM law has been in place in Oregon since 2012, defining and limiting the use of “low-impact” pesticides and allowing the use of these only if nonchemical pest control measures are ineffective. This law has additional, school-specific requirements for notification, posting, and recordkeeping of pesticide applications (State of Oregon 2022). Additionally, although some states, such as New Mexico, do not have statewide requirements or public laws regarding restricted spray zones or pesticide use around school property (New Mexico Department of Agriculture 2023), local school district policies give priority to nonchemical methods of pest control (New Mexico State Legislature 2021). For example, Santa Fe, NM, permits synthetic chemical use on public and municipal lands only as a last resort after other weed control methods have been attempted and shown to be ineffective (City of Santa Fe 2023).

Although pesticide restrictions on school property may reduce exposure to certain pesticides, a perceived decrease in athletic field quality in Connecticut has been reported following the state’s pesticide ban (Bartholomew et al. Reference Bartholomew, Campbell and Wallace2015). At the same time, even though player safety can be degraded when the presence of weeds reduces the underfoot safety of the playing surface (Brosnan et al. Reference Brosnan, Dickson, Sorochan, Thoms and Stier2014), a survey in Connecticut found that respondents agreed with a ban on pesticides on elementary and middle school property (67%) and on high school athletic fields (66%) (Campbell and Wallace Reference Campbell and Wallace2020). A different survey found that there was strong support for bans on pesticides at the state and municipal levels as well as for home lawns (Wallace et al. Reference Wallace, Bartholomew and Campbell2016).

In lawns, weed management can be largely overcome by maintaining a dense stand of turfgrass through common cultural practices like mowing, irrigation, and fertilization (Braithwaite et al. Reference Braithwaite, Stock and Kowalewski2020; Turgeon and Kaminski Reference Turgeon and Kaminski2019). When large weed infestations do occur, a selective broadleaf herbicide is often applied along with properly timed overseeding with desired turfgrasses to fill in voids in the landscape. If renovating a lawn becomes necessary, a nonselective herbicide will often be applied prior to reestablishment of turfgrass (Braun et al. Reference Braun, Patton, Watkins, Hollman, Murphy, Park, Kowalewski and Braithwaite2021). In the absence of herbicides, timely mechanical removal of all vegetation is possible, although labor intensive, which is typically followed by applying sod or sowing at recommended times, which can increase the likelihood of obtaining a manageable landscape (Brosnan et al. Reference Brosnan, Breeden, Zobel, Patton and Law2020). In areas where pesticide restrictions occur and when mechanical removal is not feasible, alternative herbicides may be an option, although only limited data are available regarding their efficacy (Reiter and Windbiel-Rojas Reference Reiter and Windbiel-Rojas2020; Young Reference Young2004). Examples of alternative herbicide products include acids, such as acetic acid (vinegar) or pelargonic acid; fatty acids, such as ammonium nonanoate; and plant-derived oils, such as clove or mint oil. Only limited research has evaluated these types of products for successful lawn termination.

The majority of the few turfgrass experiments focusing on alternative nonselective herbicides to date occurred in California. It is unclear why limited research is currently available; however, in some areas of California, there is a public desire to find alternatives to nonselective herbicides like glyphosate, which is listed as a carcinogen on the California Proposition 65 list (CA.gov 2024; Reiter and Windbiel-Rojas Reference Reiter and Windbiel-Rojas2020). One study compared the efficacy and costs of acetic acid, plant essentials, pine oil, and glyphosate applications necessary to suppress vegetation along roadsides (Young Reference Young2004). This study concluded that the natural products tested were not comparable from an economical or efficacious standpoint compared to the use of glyphosate in the same setting. Another field experiment in California compared alternatives like plant essential oils, chelated iron, and fatty acid soaps to glyphosate in a lawn setting using one application in Dinuba on a mixed stand of bermudagrass and broadleaf weeds and two applications in Sacramento on predominantly bermudagrass (Reiter and Windbiel-Rojas Reference Reiter and Windbiel-Rojas2020). This research demonstrated that nonselective alternatives to glyphosate products yielded a quick response; however, in both settings, the vegetation recovered after one or two applications, likely because of the contact burndown activity of the products, which damaged only the leaves.

For pesticides to be used in the urban environment, safety is a high concern, and alternative products need to be effective and limited in number of applications to reduce exposure time and frequency as well as the cost of application. For this reason, it is necessary to address the knowledge gap regarding the number of applications necessary for alternative nonselective herbicides to effectively suppress vegetation. Considering this need, two field experiments were conducted, one in Corvallis, OR, and one in Las Cruces, NM, with the aim of comparing several alternative nonselective herbicides for their ability to terminate a lawn of mixed monocot and dicot plants.

Materials and Methods

The layout of the experiment was a randomized complete-block design including 10 alternative nonselective herbicides, with water as a control treatment (Table 1). Products in this experiment were selected because at the time of the experiment, all products met current and proposed municipal legislation in New Mexico, and eight products met the current and proposed legislation for applications on public schools in Oregon. Well-established mown turfgrass areas in Corvallis (established in 2017) and Las Cruces (at least 5 yr in age) were chosen for the study. The Corvallis experiment (44.33°N, 123.12°W) took place on a Malabon silty clay loam, classified as part of the Pachic Ultic Argixerolls subgroup of the USDA taxonomy (UC Davis 2024). This site is in the cool-season zone and consisted primarily of perennial ryegrass and annual bluegrass. The dominant dicot plants were white clover (Trifolium repens L. ‘TRFRE’) and common dandelion (Taraxacum officinale F.H. Wigg. ‘TAROF’). The Las Cruces experiment (32.20°N, 106.74°W) took place on a Belen clay loam, classified as part of the thermic Vertic Torrifluvents subgroup of the USDA taxonomy (UC Davis 2024). This site is in the warm-season zone and consisted primarily of bermudagrass. The dominant dicot plants were common dandelion, white clover, and sowthistle (Sonchus oleraceus L. ‘SONOL’). Both sites were mown at least once a week at 7.6 cm height, and clippings were removed. In Oregon, irrigation was not necessary because rainfall was sufficient during the experiment, averaging 24.5 mm wk−1 (Figure 1). Irrigation was applied once a week in New Mexico to maintain healthy turf and weed stands.

Table 1. Trade name, formulation, rate, and manufacturer for treatments included in the experiment in Corvallis, OR, and Las Cruces, NM.

Figure 1. High and low temperatures in degrees Celsius and rainfall in millimeters during the 2022 experimental period in Corvallis, OR, and Las Cruces, NM.

At both locations, treatments (Table 1) were applied with a handheld boom attached to a CO2-pressurized (210 kPa) backpack sprayer delivering a carrier volume of 815 L ha−1. In Corvallis, applications began on April 15, 2022, and were applied every 2 wk through May 27, 2022, for a total of four applications. In Las Cruces, applications began on May 26, 2022, and were applied every 2 wk through July 21, 2022, for a total of five applications. To compare the effects of treatments across both sites, the Las Cruces data presented in this manuscript include data for the first four applications (the fifth application, on July 21, 2022, is not included in these analyses). The experiment was replicated over four blocks in Corvallis and three blocks in Las Cruces. Initial application timings were reflective of target turfgrass breaking winter dormancy in Las Cruces (average of 79% green cover on May 25, 2022), and turfgrass was actively growing in Corvallis (95% green cover on April 15, 2022). Weed growth and development were satisfactory for herbicide applications in both locations and in both temperature zones. High and low temperatures, as well as precipitation over the course of the experiment, were recorded at both sites (Figure 1).

Dependent variables in this experiment included area under percent green cover progress curves (AUPGCPC), percent green cover on the final rating date, and change in monocot and dicot densities over the course of the experiment. These variables were derived from images collected using a battery-powered photo light box that was placed in the same location throughout the experiment. In Corvallis, two images were collected twice a week using a Sony DSC-H9 (Tokyo, Japan) camera, and the light box covered an area of 0.31 m2 for each image. In Las Cruces, one image was collected twice a week using a Canon SX 700HS (Tokyo, Japan) camera, and the light box covered 1.00 m2.

Percent green cover data were collected for each rating date by analyzing light box images using Sigma Scan Pro version 5.0 software (Grafiti, Palo Alto, CA, USA). These data were used to build AUPGCPCs calculated using the trapezoidal method (Shaner and Finney Reference Shaner and Finney1977). Monocot and dicot percentages were assessed using stratified sampling (Laycock and Canaway Reference Laycock and Canaway1980; Richardson et al. Reference Richardson, Karcher and Purcell2001) by overlaying a digital grid onto images collected from each plot using Sigma Scan Pro. When the grid lines crossed in an image, the plant was identified as either monocot, dicot, or no plant. In Corvallis, the changes in monocot and dicot densities were calculated using images from the beginning of the study (April 15, 2022) to the last rating date (June 10, 2022) for a total period of 56 d after initial treatment (DAIT). Images from Corvallis were overlaid with a 121-point digital grid per image (242 data points 0.62 m−2). In Las Cruces, the changes in monocot and dicot densities were calculated using images from the beginning of the study (May 25, 2022) to 2 wk after the fourth herbicide application (July 21, 2022) for a total period of 57 DAIT. Images from Las Cruces were overlain with a 225-point digital grid per image (225 data points 1.00 m−2). These data were used to calculate the changes in monocot and dicot densities over the course of the trial in both locations by subtracting the initial percentage from the final percentage and dividing by the final percentage [(Final − Initial)/Final]. All dependent variables in the experiment in both locations satisfactorily met the assumptions of ANOVA and were analyzed in R (R Core Team, 2022). When significant differences were observed, pairwise comparisons were assessed using Tukey’s HSD at a 0.05 level of significance.

Results and Discussion

Area Under Percent Green Cover Progress Curve

This research demonstrated that all treatments, with the exception of the mint oil + sodium lauryl sulfate + potassium sorbate combination, reduced the AUPGCPC compared to water, indicating nonselective herbicide effects. Treatments with the lowest AUPGCPC, or the greatest nonselective herbicide effect, included the acetic acid treatment in Corvallis and d-limonene and pelargonic acid in Las Cruces (Table 2). In Corvallis, acetic acid was more effective than 5 of the 10 alternative herbicide treatments, and in Las Cruces, d-limonene and pelargonic acid were more effective than 4 of the 10 treatments. In the experiment by Reiter and Windbiel-Rojas (Reference Reiter and Windbiel-Rojas2020), d-limonene and acetic acid had a lower normalized difference vegetation index (NDVI) on all rating dates after initial application up to 21 d, and it was also observed that a lower NDVI resulted from 22% ammoniated soap of fatty acids applied in a 10% v/v solution, supporting findings in this research. A study in Norway focusing on desiccation of white clover seed crops observed a decrease in green color when treatments of acetic acid, sodium chloride, or pelargonic acid were applied one or two times preharvest (Havstad et al. Reference Havstad, Øverland, Aamlid, Gunnarstorp, Knudsen and Sæland2022), also supporting observations in this experiment.

Table 2. Area under percent green cover progress curves and percent green cover on the final rating date in Corvallis, OR, and Las Cruces, NM. a,b

a Abbreviation: AUPGCPC, area under percent green cover progress curve.

b Values followed by the same letter are not significantly different according to Tukey’s HSD (P < 0.05).

While clove oil and cinnamon oil + clove oil were more effective than water, all other treatments were more effective at reducing the AUPGCPC than these two treatments in Corvallis. In Las Cruces, clove oil and cinnamon oil + clove oil performed similarly to the combination of mint oil + sodium lauryl sulfate + potassium sorbate, which did not decrease the AUPGCPC compared to water. These results indicate that these treatments are not likely the best product choice if vegetation suppression efficacy is the most important criterion for landscape managers. Previous research exploring the herbicidal effects of a variety of essential oils found that among 25 oils tested, cinnamon, clove, summer savory and red thyme caused visible injury to dandelion leaf disks (Tworkoski Reference Tworkoski2002). When applied to johnsongrass [Sorghum halepense (L.) Pers.], common lambsquarters (Chenopodium album L.), or common ragweed (Ambrosia artemisiifolia L.) 25 to 30 cm in height, a 1% concentration of cinnamon or clove oil injured these plants, and a 5% and 10% concentration killed most plants 7 d after treatment (Tworkoski Reference Tworkoski2002). Boyd and Brennan (Reference Boyd and Brennan2006) observed control of nettle (Urtica urens L.) at a 10% concentration and common purslane (Portulaca oleracea L.) at a 20% concentration of clove oil. In the present study, clove oil was diluted to a concentration of 0.33% (as per the product label rate directions), and when a combination of cinnamon oil and clove oil was applied (as per product label directions), the final concentration was 2.3% for each oil. These low rates would suggest that the oil concentrations were insufficient to expect results similar to those observed by Tworkoski (Reference Tworkoski2002). Reiter and Windbiel-Rojas (Reference Reiter and Windbiel-Rojas2020) observed a decrease in NDVI when the combination of 47% caprylic acid and 32% capric acid was applied in a 9% v/v solution to ‘TifSport’ hybrid bermudagrass [Cynodon dactylon (L.) Pers. × C. transvaalensis Burtt Davy]. The same study did not observe a decrease in NDVI when the combination of 8% citric acid + 2% clove oil was applied in a 25% v/v solution.

Percent Green Cover on Final Rating Date

In Corvallis, a combination of ammoniated soap of fatty acids + maleic hydrazide resulted in the lowest percent green cover on the final rating date (47%) and was similar to the acetic acid (51%), sodium chloride (53%), pelargonic acid (54%), and a combination of caprylic + capric acid (58%) treatments (Table 2). In Las Cruces, the pelargonic acid treatment averaged 45% green cover on the final rating date and was similar to all other treatments, except the combination of mint oil + sodium lauryl sulfate + potassium sorbate and water. Even though these results are not encouraging for landscape managers desiring to apply a single alternative nonselective application for effective weed control, they do demonstrate that there was substantial suppression of the plant species present during the study. However, after four treatments over 56 d in Corvallis and four treatments over 57 d in Las Cruces, it is unlikely that these products are viable options for terminating vegetation in well-established sites, such as for lawn renovations or overgrown landscape beds or in hardscapes, because the vegetation quickly recovered following termination of the study (data not shown). Further research is required to determine if complete termination of vegetation could be achieved if applications were to continue over long periods, or several successive seasons, until the plant’s vegetative nutrient reserves have been exhausted.

Change in Monocot and Dicot Density over Time

Suppression of either monocots or dicots was explored using the same light box images in both Corvallis and Las Cruces. In Corvallis, the clove oil treatment increased monocot cover compared to water only (Table 3). The combination of ammoniated soap of fatty acids + maleic hydrazide was the only treatment that reduced the monocot population to an extent that was greater than the water control (Table 3). In Las Cruces, no differences in monocot density were observed compared to water only. These differences between the observations in Corvallis and Las Cruces may be a function of the environment and more vigorous growth and survivability of stressors such as herbicide injury of bermudagrass, which has a stoloniferous and rhizomatous growth habit compared to bunch-type grasses like the perennial ryegrass and annual bluegrass at Corvallis.

Table 3. Change in monocot and dicot density in Corvallis, OR, and Las Cruces, NM. a

a Values followed by the same letter are not significantly different according to Tukey’s HSD (P < 0.05).

Except for the combination of mint oil + sodium lauryl sulfate + potassium sorbate, all herbicides reduced the density of dicots in both Corvallis and Las Cruces. This observation, along with the AUPGCPC and monocot density data, suggests that some treatments may provide opportunities for future research into how to use alternative nonselective products as selective dicot weed controls in a landscape setting. For instance, clove oil was applied at 1% (as per product label directions) and resulted in a decrease in dicot density in Corvallis of 32% and in Las Cruces of 87%, while resulting in a numerical increase in monocot density in both locations. In research by Boyd and Brennan (Reference Boyd and Brennan2006), clove oil applied at 10% and 20% v/v controlled nettle and common purslane but had no effect on rye (Secale cereale L.). The dynamics of the ecology of the lawn are complex and will depend on the dominant monocot species and the season when the applications are applied, although these results support future research in the use of alternative nonselective herbicides as selective contact dicot control products in a lawn setting.

The motivation behind pesticide restrictions and complete bans on pesticides is often unclear; however, public health and safety are likely primary factors, especially on school grounds. The more efficacious a treatment is regarding suppression of vegetation, the less frequently applications will need to be made, thus reducing exposure to pesticides of applicators and potentially others. This study’s results indicate that more than four applications would be necessary to suppress vegetation under similar conditions in both locations and in both types of turfgrass. Such an approach could increase public exposure to herbicides compared to standard nonselective chemistries and might limit the practicality of their use. If alternative herbicides are not adopted, lawn renovation can still be achieved by mechanical removal using machines like sod cutters or fraise mowers. For landscape beds, mulching remains an option, with applications of alternative herbicides perhaps being more successful when vegetation is smaller and, especially, younger (Kudsk and Streibig Reference Kudsk and Streibig2023). For hardscapes, vegetation size will likely be a factor in suppression, and other weed management techniques, such as heat or steam, may be options in these settings (Kolberg and Wiles Reference Kolberg and Wiles2017; Peerzada and Chauhan Reference Peerzada and Chauhan2018). Cost is also likely a concern. At the time of publication, cost for all treatments (except for the combination of mint oil + sodium lauryl sulfate + potassium sorbate, which had no effect on green cover reduction) would be at least 9 times greater per hectare than one application of glyphosate.

Practical Implications

When it becomes necessary to renovate a lawn, nonselective herbicides are often used to terminate the existing vegetation, with glyphosate as a common choice for this purpose. When legislation or other pressures oblige landscape managers to choose alternatives to glyphosate, little research is available on the efficacy of products sold as nonselective herbicides. In this experiment, none of the treatments successfully terminated an established lawn in either Corvallis, OR, or Las Cruces, NM. These findings suggest that the application rates, frequencies, or timings tested in this research will not satisfactorily terminate a lawn under similar circumstances. One interesting finding, however, was that grasses and broadleafs exposed to the herbicides expressed different sensitivities, suggesting that future studies focusing on selective control are warranted. Specifically, the data suggest that some alternative herbicide treatments were more impactful in injuring dicot plants than monocots, especially in New Mexico, where the dominant monocot was bermudagrass. This may indicate the possibility of spot-spraying dicot-specific weeds within a desirable turfgrass landscape with minimal and temporary discoloration of the turfgrass, especially stoloniferous and rhizomatous grass varieties like bermudagrass. Finally, even though none of the treatments successfully terminated the vegetation after four applications, that does not mean that they would be ineffective on less mature plants, with more applications, or in the late summer or early fall; however, future research is needed to answer these questions.

Acknowledgments

Mention of trade names or commercial products in this publication is solely for the purpose of providing specific information and does not imply recommendation or endorsement by the U.S. Department of Agriculture or New Mexico State and Oregon State Universities.

Competing interests

The authors declare no conflicts of interest.

Footnotes

Associate Editor: Michael Walsh

References

Alarcon, W, Calvert, G, Blondell, J, Mehler, L, Sievert, J, Propeck, M, Tibbetts, D, Becker, A, Lackovic, M, Soileau, S, Das, R, Beckman, J, Male, D, Thomsen, C, Stanbury, M (2005) Acute illnesses associated with pesticide exposure at schools. JAMA 294:455465 Google Scholar
Bartholomew, C, Campbell, BL, Wallace, V (2015) Factors affecting school grounds and athletic field quality after pesticide bans: the case of Connecticut. HortScience 50:99103 Google Scholar
Boyd, NS, Brennan, EB (2006) Burning nettle, common purslane, and rye response to a clove oil treatment. Weed Technol 20:646650 Google Scholar
Braithwaite, E, Stock, T, Kowalewski, A (2020) Integrated pest management effects on weed populations managed without herbicides in the Pacific Northwest. Int Turfgrass Soc Res J 14:783786 Google Scholar
Braun, RC, Patton, AJ, Watkins, E, Hollman, AB, Murphy, JA, Park, BS, Kowalewski, AR, Braithwaite, ET (2021) Optimal fine fescue mixture seeding dates in the northern United States. Agron J 113:44134428 Google Scholar
Brosnan, JT, Breeden, GK, Zobel, JM, Patton, AJ, Law, QD (2020) Nonchemical annual bluegrass (Poa annua) management in zoysiagrass via fraise mowing. Weed Technol 34:482488 Google Scholar
Brosnan, JT, Dickson, KH, Sorochan, JC, Thoms, AW, Stier, JC (2014) Large crabgrass, white clover, and hybrid bermudagrass athletic field playing quality in response to simulated traffic. Crop Sci 54:18381843 Google Scholar
CA.gov (2024) Proposition 65: your right to know! https://www.p65warnings.ca.gov/chemicals/glyphosate. Accessed: July 28, 2024Google Scholar
Campbell, J, Wallace, V (2020) Awareness, support, and perceived impact of the Connecticut pesticide ban. HortTechnology 30:96101 Google Scholar
City of Santa Fe (2023) Integrated pest management program for city property. https://santafenm.gov/media/files/Parks__Recreation/Parks/IPM/City_of_Santa_Fe_IPM_Ordinance_City_Code_Chapter_X_Section_10-7.pdf. Accessed: November 22, 2024Google Scholar
City of South Portland (2024) Landcare management. https://www.southportland.org/our-city/code-ordinance/. Accessed: January 31, 2024Google Scholar
[EPA] U.S. Environmental Protection Agency (2023) Conditions for minimum risk pesticides. https://www.epa.gov/minimum-risk-pesticides/conditions-minimum-risk-pesticides. Accessed: January 31, 2024Google Scholar
Fuller, KB, Mangold, J (2017) The costs of noxious weeds: what you can do about them. Montana State University Extension Publication. https://apps.msuextension.org/magazine/assets/docs/ss2017noxiousweedcosts.pdf. Accessed: August 2, 2024Google Scholar
Havstad, LT, Øverland, JI, Aamlid, TS, Gunnarstorp, T, Knudsen, GK, Sæland, J (2022) Evaluation of pre-harvest desiccation strategies in red clover (Trifolium pratense L.) and white clove (Trifolium repens L.) seed crops. Acta Agric Scand B 72:818834 Google Scholar
Hurley, JA, Green, TA, Gouge, DH, Bruns, ZT, Stock, T, Bradband, L, Murray, K, Westinghouse, C, Ratcliffe, ST, Pehlman, D, Crane, L (2014) Regulating pesticide use in United States schools. Am Entomol 60:105115 Google Scholar
Kolberg, RL, Wiles, LJ (2017) Effect of steam application on cropland weeds. Weed Technol 16:4349 Google Scholar
Kudsk, P, Streibig, JC (2023) Herbicides—a two-edged sword. Weed Res 42:90102 Google Scholar
Landrigen, PJ, Kimmel, CA, Correa, A, Eskenazi, B (2004) Children’s health and environment: public health issues and challenges for risk assessment. Environ Health Perspect 112:257265 Google Scholar
Laycock, RW, Canaway, PM (1980) An optical point quadrat frame for the estimation of cover in closely-mown turf. J Sports Turf Res Inst 56:9192 Google Scholar
Liu, J, Schelar, E (2012) Pesticide exposure and child neurodevelopment: summary and implications. Workplace Health Saf 60:235243 Google Scholar
New Mexico Department of Agriculture (2023) New Mexico pesticide law summary. https://nmdeptag.nmsu.edu/pesticides/nm-pesticide-law.html. Accessed: January 31, 2024Google Scholar
New Mexico State Legislature (2021) State Senate Bill 326. Relating to priority given to integrated pest management and non-chemical pest management plans on school property. https://www.nmlegis.gov/Sessions/21%20Regular/bills/senate/SB0326.pdf. Accessed: January 31, 2024Google Scholar
[NYSDEC] New York State Department of Environmental Conservation (2010) Guidance on chapter 85, laws of 2010: summary of pesticide prohibition requirements and pesticide alternatives regarding schools and day care centers in New York state. https://www.dec.ny.gov/docs/materials_minerals_pdf/guidancech85.pdf. Accessed: January 31, 2024Google Scholar
Peerzada, AM, Chauhan, BS (2018) Thermal weed control: history, mechanisms, and impacts. Pages 931 in Non-chemical Weed Control. Amsterdam: Elsevier Google Scholar
Pimentel, D, Suniga, R, Morrison, D (2005) Update on the environmental and economic costs associated with alien-invasive species in the United States. Ecol Econ 52:273288 Google Scholar
R Core Team (2022) R: A Language and Environment for Statistical Computing. Vienna, Austria: R Foundation for Statistical Computing. 16 pGoogle Scholar
Reiter, M, Windbiel-Rojas, K (2020) Organic herbicides and glyphosate for weed control: results of coordinated experiments in urban landscapes. California Association of Pest Control Advisors. https://issuu.com/capcaadviser/docs/202002_capca_adv_feb2020_web/24. Accessed: January 31, 2024Google Scholar
Richardson, MD, Karcher, DE, Purcell, LC (2001) Quantifying turfgrass cover using digital image analysis. Crop Sci 41:18841888 Google Scholar
Shaner, G, Finney, RE (1977) The effect of nitrogen on the expression of slow-mildewing resistance in Knox wheat. Phytopathology 67:10511056 Google Scholar
State of Connecticut (2005) An act concerning pesticides at schools and day care facilities. Public Act 05-252. https://www.cga.ct.gov/2005/act/pa/2005pa-00252-r00sb-00916-pa.htm. Accessed: January 31, 2024Google Scholar
State of Oregon (2022) Adoption of integrated pest management plan and related provisions. Public Law ORS 634.705. https://oregon.public.law/statutes/ors_634.705. Accessed: January 30, 2024Google Scholar
Turgeon, AJ, Kaminski, JE (2019) Turfgrass Management. State College, PA: Turfpath.Google Scholar
Tworkoski, T (2002) Herbicide effects of essential oils. Weed Sci 50:425431 Google Scholar
UC Davis (2024) Soil Web Application. University of California, Davis, University of California Agriculture and Natural Resources, USDA-NRCS. http://casoilresource.lawr.ucdavis.edu/gmap/. Accessed: 31 January 2024.Google Scholar
[USDA-AMS] U.S. Department of Agriculture Agriculture Marketing Service (2023) The national list of allowed and prohibited substances. https://www.ams.usda.gov/rules-regulations/national-list-allowed-and-prohibited-substances. Accessed: January 30, 2024Google Scholar
Wallace, VH, Bartholomew, C, Campbell, JH (2016) Turf manager response to changing pesticide regulations. HortScience 51:394397 Google Scholar
Young, SL (2004) Natural product herbicides for control of annual vegetation along roadsides. Weed Technol 18:580587 Google Scholar
Figure 0

Table 1. Trade name, formulation, rate, and manufacturer for treatments included in the experiment in Corvallis, OR, and Las Cruces, NM.

Figure 1

Figure 1. High and low temperatures in degrees Celsius and rainfall in millimeters during the 2022 experimental period in Corvallis, OR, and Las Cruces, NM.

Figure 2

Table 2. Area under percent green cover progress curves and percent green cover on the final rating date in Corvallis, OR, and Las Cruces, NM.a,b

Figure 3

Table 3. Change in monocot and dicot density in Corvallis, OR, and Las Cruces, NM.a