Category: Weed Management

Vipan Kumar¹, Lynn Sosnoskie², Mike Hunter³, Mike Stanyard⁴

¹School of Integrative Plant Sciences -Soil and Crop Sciences Section, Cornell University, Ithaca, NY 14853, ²School of Integrative Plant Sciences – Horticulture Section, Cornell AgriTech, Geneva, NY 14456, ³Cornell Cooperative Extension North County Regional Ag Team, ⁴Cornell Cooperative Extension Northwest New York Dairy, Livestock, and Field Crops Program

With recent rainfall events and a new flush of summer annual weeds, NY producers are busy applying postemergence herbicide applications in row crops. If you have planted dicamba-tolerant soybeans and are planning for postemergence applications of dicamba-containing products (Xtendimax, Engenia, or Tavium), the following points need to be considered.

• • Xtendimax, Engenia and Tavium are the only dicamba-containing products that are labelled in dicamba-tolerant soybeans (Roundup Ready 2 Xtend or XtendFlex soybeans).
  • Be sure of your trait technology! Do not confuse Xtend traits with Enlist traits. Enlist traits provide crop resistance to 2,4-D but not to dicamba.
  • As per the revised labels in 2021, the legal last day of postemergence applications of Xtendimax, Engenia and Tavium in dicamba-tolerant soybeans is June 30.
  • Only certified applicators with dicamba training are allowed to apply these products.
  • Spray records need to be created within 3 days of applications of these products and should be maintained for 2 years. (Note: In New York State all applications of restricted use pesticides must be maintained for at least three years)
  • An approved drift reduction agent (DRA) and volatility reduction agent (VRA) should be included.
  • Only approved nozzles and tank-mix partners should be used for these products.
  • Wind speed at boom height should range from 3 to 10 miles per hour at the time of application.
  • As per the labels, maximum ground speed of sprayer should not exceed 15 miles per hour and maximum boom height above target pest or crop canopy should not exceed 24 inches.
  • Survey surrounding fields ahead of dicamba applications for sensitive crops (e.g., grapes, fruit trees, snap beans, fruiting vegetables (e.g., tomatoes, peppers), soybeans without dicamba-tolerance trait technology, etc…).
  • DO NOT apply these products if sensitive crops are in a downwind field or a run-off producing rain event is in the forecast in the next 48 hours.
  • After determining no adjacent sensitive crops are downwind, maintain a 240-feet downwind buffer.
  • Stop spraying if winds change direction towards sensitive crops.
  • DO NOT apply dicamba products during temperature inversions. Only spray between one hour after sunrise and two hours before sunset.
  • Ensure the entire sprayer system is properly cleaned before and after dicamba applications are made.
  • Applicator should consult Bulletins Live Two website to make sure no endangered species will be affected by these dicamba applications.

Disclaimer: Brand names appearing in this publication are for product identification purposes only. Persons using such products assume responsibility for their use in accordance with current label directions of the manufacturer.

Project Leaders

Bryan Brown, NYS IPM Program
Venancio Fernandez, Bayer Crop Sciences
Mike Hunter, Cornell Cooperative Extension
Jeff Miller, Oneida County Cooperative Extension
Mike Stanyard, Cornell Cooperative Extension

Cooperators

Derek Conway, Conway Farms
Jaime Cummings, formerly NYS IPM Program
Quentin Good, Quentin Good Farms
Antonio DiTommaso, Cornell University
Michael Durant, Lewis County Soil and Water Conservation District
Scott Morris, Cornell University
Ali Nafchi, Cornell Cooperative Extension
Ryan Parker, NYS IPM Program
Jodi Putman, Cornell Cooperative Extension
Joshua Putman, Cornell Cooperative Extension
Matthew Ryan, Cornell University
Lynn Sosnoskie, Cornell University
Ken Wise, NYS IPM Program

Funding Sources

New York Farm Viability Institute

Project Location

Trial locations in Seneca County but results are likely applicable statewide.

Abstract

Herbicide resistant tall waterhemp (Amaranthus tuberculatus) continues to be one of the most problematic weeds in US field crops. Thus far, it has primarily established in western and central New York. Our second year of trial results generally followed our first-year results. Herbicides in WSSA groups 2, 5, and 9 should not be relied on for waterhemp control. However, programs that included at least two non-chemical tactics or herbicides from groups 4, 14, or 15 were very effective. Seedbank modelling showed that control at 95%, 98%, or 100% would cause waterhemp emergence to increase, maintain, or decrease over time, respectively. Our partial budget analysis showed that profitability generally reflected yields. We also found that cereal rye (Secale cereale) residue can provide up to 87% control of waterhemp, which, if used in conjunction with a moderately effective herbicide program, could provide excellent control.

Background and Justification

Herbicide resistant waterhemp has been reported in many western and central NY counties. Soybean farmers have reported yield losses of 50% due to this weed, even after herbicide applications. Our greenhouse spray chamber tests and field trials from 2019 suggest resistance to WSSA herbicide groups 2, 5, and 9 (ALS inhibitors, photosystem II inhibitors, and EPSPS inhibitors, respectively). Our most effective control programs in 2019 relied on herbicides from other groups as well as additional physical or cultural tactics.

Waterhemp in other states has also developed resistance to different herbicide classes, including WSSA groups 4 and 14 (http://www.weedscience.org/Pages/Species.aspx). These groups include dicamba, 2,4-D, Valor, and Cobra. Resistance to these additional herbicides would make successful waterhemp control even more challenging.

Overwintering cover crops such as cereal rye can be sprayed or rolled-down to provide a weed suppressive mulch prior to soybean planting. In NY, Pethybridge et al (2019) showed that rolled rye achieved very effective suppression not only for weeds, but also for white mold. Furthermore, waterhemp and another problematic herbicide resistant weed in NY, called horseweed or marestail (Conyza canadensis), both have very small seeds that lack the stored energy to emerge through deep soil or mulch.

Objectives

Objective 1. Continue to evaluate the effectiveness of several different programs in controlling waterhemp in soybeans.

Objective 2. Assess the potential for rye cover crop mulch to suppress waterhemp emergence.

Procedures

Objective 1.

The trial site was in Seneca County, NY on a field of Odessa silt loam soil where waterhemp had survived various herbicide applications and produced seed in 2018 and was moderately controlled in 2019 in corn. In 2020, the ground was prepared for planting with a field cultivator on May 5 and planted on May 6. Pre-emergence applications were made after planting on May 8. Cultivation occurred on June 16 while the other post-emergence treatments were applied on June 18. All treatments are listed in Table 1. For fertilizer, DAP (10-46-0, 20 lbs N/A, 92 lbs P₂O₂/A) and muriate of potash (0-0-60, 125 lbs K₂O/A) were applied prior to tillage and UAN (32-0-0, 30 lbs N/A) was applied at planting.

Plots were 25’ long and 10’ wide. Each treatment was replicated four times in a randomized complete block design. Spraying was conducted using a backpack CO₂ sprayer with a 10’ boom. Spray volume was 20 gal/A applied at 40 psi. Row cultivation was achieved using a Double Wheel Hoe (Hoss Tools) with two staggered 6” sweeps (12” effective width). Two passes were made per row so that 24” of the 30” rows were cultivated.

Weed control was assessed August 15-22 by collecting all aboveground weed biomass within a 2 ft² quadrat. The quadrat was used four times per plot, placed randomly in the two middle rows of each plot. Weeds were placed in paper bags and dried at 113 degrees F for 7 days, then weighed. Control was calculated by subtracting the biomass of each treated plot from biomass of the untreated plots, dividing by the biomass of the untreated plots, and multiplying by 100. Waterhemp was the dominant species present in this trial. Other species did not provide enough data for comparison. All waterhemp was manually removed immediately after the weed control assessments in order to prevent seed production.

Soybean yield was measured in mid-October by hand harvesting 20-row-feet from the two middle rows of each plot. In our partial budget analysis, gross income was calculated by multiplying the average yield per treatment across all sites for 2019 and 2020 by a soybean price of $10.05 per bushel (Langemeier 2018). Weed treatment costs were estimated based on personal communications with several local custom applicators.

To illustrate the effects of allowing waterhemp to produce seed, we produced a 10-year model of waterhemp emergence based on the number of seeds in the soil. The model was created based on observed waterhemp emergence and biomass production in 2019 and assumed a preceding three-year period of uncontrolled growth. We also assumed that 8% of the seedbank would emerge each year (Davis et al. 2016) and that for a given cohort, viability was reduced by 81% after one year, reduced by an additional 50% after years two and three (Heneghan and Johnson 2017), and reduced by 32% each subsequent year (Davis et al. 2016). We also assumed waterhemp would produce 441 seeds per gram of biomass (Heneghan and Johnson 2017) with a maximum waterhemp biomass of 386 g/m² based on our results.

Objective 2.

On separate regions of the field near the plots described in Objective 1, we set up two trials investigating the use of cereal rye residue as a waterhemp suppressive mulch. While a cereal rye cover crop was not available for these trials, we transported rye residue from a nearby field and applied it immediately following planting. We used rates of 0, 3570, and 7140 lbs/A. The high- and mid-rates represent attainable rye biomass production in NY with- and without fertilizer, respectively (Mirsky et al 2013; Pethybridge et al 2019). Plots were 5’ by 10’ and each treatment was replicated four times per trial in a randomized compete block design. Waterhemp control was measured in the same manner as Objective 1.

Results and Discussion

Objective 1.

In 2020, waterhemp control was generally similar as 2019 (Table 2). Soil was dry at the time of pre-emergence application but we received 0.9” rain in the first 10 days after application, which was likely sufficient for activation. ValorSX did not perform as well as in the previous year, possibly related to weeds that had germinated prior to activation. WarrantUltra plus metribuzin remained very effective, providing further evidence that at least two effective modes of action ­– WSSA groups 14 and 15 in this treatment – are necessary for successful control.

In the post-emergence-only treatments, this year the Warrant improved the effectiveness of the Roundup and Xtendimax, probably due to our earlier planting and spray dates in 2020 that likely allowed more waterhemp to germinate after the post-emergence application, making use of the residual activity of the Warrant.

Similar to the previous year, the two-pass programs were generally more effective than the pre- or post-emergence-only programs. Having two passes reduces the burden on each pass. So if conditions are not optimal in one of the passes, the other pass can help ensure successful control is still achieved. They are also generally more expensive, but inclusion of more diverse chemistries and/or non-chemical tactics can reduce the risk of worsening the resistance problem.

In our partial budget analysis, the highest grossing (highest yielding) treatments were generally the most profitable (Table 2). The high yields of the row cultivation treatment may reflect the increase in soil aeration and nutrient release associated with soil disturbance. But also, due to small plot size there was some variability in yield results due to random chance.

Our waterhemp production and emergence model demonstrates that programs that control 100% of the waterhemp can result in greatly reduced emergence in subsequent years, whereas programs achieving 98% control or less will perpetuate the problem (Figure 1). Although 95% control would likely allow farmers to avoid a crop yield loss, the resulting waterhemp seed production and increase in emergence in subsequent years would likely make successful control more difficult over time.

Objective 2.

Across the two trials, cereal rye cover crop residue at high (7140 lbs/A) and medium rates (3570 lbs/A), representing biomass NY farmers could attain with- or without-fertilizer, provided an average of 87% and 73% waterhemp control compared to the untreated check, respectively. Used alone, these levels of control may be sufficient to avoid soybean yield loss. But this tactic could also be used in conjunction with a herbicide program. In such a system, 99% waterhemp control could be achieved with the high level of rye residue plus a herbicide program that only provides 92% control when used alone.

References

Davis AS, Fu X, Schutte BJ, Berhow MA, Dalling JW (2016) Interspecific variation in persistence of buried weed seeds follows trade-offs among physiological, chemical, and physical seed defenses. Ecology and Evolution. 6:6836–6845

Heneghan JM, Johnson WG (2017) The Growth and Development of Five Waterhemp (Amaranthus tuberculatus) Populations in a Common Garden. Weed Science. 65:247–255

Langemeier M (2018) Projected Corn and Soybean Breakeven Prices. Department of Agricultural and Consumer Economics, University of Illinois at Urbana-Champaign. Farmdoc Daily 8:66

Mirsky S, Ryan M, Teasdale J, Curran W, Reberg-Horton C, Spargo J, Wells S, Keene C, Moyer J (2013) Overcoming Weed Management Challenges in Cover Crop–Based Organic Rotational No-Till Soybean Production in the Eastern United States. Weed Technology, 27(1), 193-203. doi:10.1614/WT-D-12-00078.1

Pethybridge S, Brown B, Kikkert J, Ryan MR (2019) Rolled-crimped cereal rye mulch suppresses white mold in no-till soybean and dry bean. Renewable Agriculture and Food Systems. doi:10.1017/S174217051900022X

Acknowledgements

Thank you to the New York Farm Viability Institute for supporting this project.

Disclaimer: Read pesticide labels prior to use. The information contained here is not a substitute for a pesticide label. Trade names used herein are for convenience only; no endorsement of products is intended, nor is criticism of unnamed products implied. Laws and labels change. It is your responsibility to use pesticides legally. Always consult with your local Cooperative Extension office for legal and recommended practices and products. cce.cornell.edu/localoffices

For more information on this project, check out: https://nysipm.cornell.edu/agriculture/weed-ipm/

 

Project Leaders

Bryan Brown, NYS IPM Program
Venancio Fernandez, Bayer Crop Sciences
Mike Hunter, Cornell Cooperative Extension
Jeff Miller, Oneida County Cooperative Extension
Mike Stanyard, Cornell Cooperative Extension

Cooperators

Derek Conway, Conway Farms
Jaime Cummings, formerly NYS IPM Program
Quentin Good, Quentin Good Farms
Antonio DiTommaso, Cornell University
Michael Durant, Lewis County Soil and Water Conservation District
Scott Morris, Cornell University
Ali Nafchi, Cornell Cooperative Extension
Ryan Parker, NYS IPM Program
Jodi Putman, Cornell Cooperative Extension
Joshua Putman, Cornell Cooperative Extension
Matthew Ryan, Cornell University
Lynn Sosnoskie, Cornell University
Ken Wise, NYS IPM Program

Funding Sources

New York Farm Viability Institute

Project Location

Trial locations in Seneca and Oneida Counties but results are likely applicable statewide.

Abstract

Herbicide resistant tall waterhemp (Amaranthus tuberculatus) continues to be one of the most problematic weeds in US field crops. Thus far, it has primarily established in western and central New York. Our second year of trial results generally followed our first-year results. Herbicides in WSSA groups 2, 5, and 9 should not be relied on for waterhemp control. However, programs that included at least two non-chemical tactics or herbicides from groups 4, 14, 15, 19, or 27 were very effective. Seedbank modelling showed that control at 95%, 98%, or 100% would cause waterhemp emergence to increase, maintain, or decrease over time, respectively. Interseeding annual ryegrass in fields where waterhemp has established is not recommended, but Callisto provided acceptable control of waterhemp while not injuring the annual ryegrass.

Background and Justification

Herbicide resistant waterhemp has been reported in many western and central NY counties. Corn farmers have reported yield losses of 20% due to this weed, even after herbicide applications. Our greenhouse spray chamber tests and field trials from 2019 suggest resistance to WSSA herbicide groups 2, 5, and 9 (ALS inhibitors, photosystem II inhibitors, and EPSPS inhibitors, respectively). Our most effective control programs in 2019 relied on herbicides from other groups as well as additional physical or cultural tactics. Generally, two-pass programs with residual activity were best. But residual herbicides can injure interseeded cover crops, which have grown in popularity in NY, reflecting the work of the Western NY Soil Health Alliance and the Genesee River Coalition of Conservation Districts.

Objectives

Objective 1. Continue to evaluate the effectiveness of several different programs in controlling waterhemp in corn.

Objective 2. Continue to assess the compatibility of residual herbicides with an interseeded cover crop.

Procedures

Objective 1.

The trial site was in Seneca County, NY on a field of Odessa silt loam soil where waterhemp had survived various herbicide applications and produced seed in 2018 and was moderately controlled in 2019 in corn. In 2020, the ground was prepared for planting with a field cultivator on May 5 and planted on May 13. Pre-emergence applications were made after planting on May 20. Cultivation and interseeding occurred on June 16, while the other post-emergence treatments were applied on June 18. All treatments are listed in Table 1. For fertilizer, DAP (10-46-0, 20 lbs N/A, 92 lbs P₂O₂/A) and muriate of potash (0-0-60, 125 lbs K₂O/A) were applied prior to tillage, UAN (32-0-0, 30 lbs N/A) was applied at planting, and ESN nitrogen (44-0-0, 150 lbs N/A) was broadcast on June 19.

Plots were 25’ long and 10’ wide. Each treatment was replicated four times in a randomized complete block design. Spraying was conducted using a backpack CO₂ sprayer with a 10’ boom. Spray volume was 20 gal/A applied at 40 psi. Row cultivation was achieved using a Double Wheel Hoe (Hoss Tools) with two staggered 6” sweeps (12” effective width). Two passes were made per row so that 24” of the 30” rows were cultivated. For Objective 1, interseeding was established by hand broadcasting annual ryegrass (Mercury Brand, “Ribeye”) at 20 lb/A.

Weed control was assessed on August 16 by collecting all aboveground weed biomass within a 2 ft² quadrat. The quadrat was used four times per plot, placed randomly in the two middle rows of each plot. Weeds were placed in paper bags and dried at 113 degrees F for 7 days, then weighed. Control was calculated by subtracting the biomass of each treated plot from biomass of the untreated plots, dividing by the biomass of the untreated plots, and multiplying by 100. Waterhemp was the dominant species present in this trial. Other species did not provide enough data for comparison. All waterhemp was manually removed immediately after the weed control assessments in order to prevent seed production.

Treatment costs were estimated based on personal communications with several local custom applicators. Yield was unable to be accurately measured this year due to variability in the field.

To illustrate the effects of allowing waterhemp to produce seed, we produced a model of annual waterhemp emergence based on the number of seeds in the soil. The model was created based on observed waterhemp emergence and biomass production in 2019 and assumed a preceding three-year period of uncontrolled growth. We also assumed that 8% of the seedbank would emerge each year (Davis et al. 2016) and that for a given cohort, viability was reduced by 81% after one year, reduced by an additional 50% after years two and three (Heneghan and Johnson 2017), and reduced by 32% each subsequent year (Davis et al. 2016). We also assumed waterhemp would produce 441 seeds per gram of biomass (Heneghan and Johnson 2017) with a maximum waterhemp biomass of 386 g/m² based on our results.

Objective 2.

This objective was conducted in Lewis County, NY on a corn field that does not contain any waterhemp. The field (Homer silt loam soil) was tilled June 9 and planted with silage corn (Pioneer, 95 day) on June 1 with 3 gal/A starter fertilizer (7-21-7). Pre-emergence herbicides were applied on June 2, row cultivation June 30, and post-emergence herbicides on July 1. All treatments are listed in Table 2. Interseeding was conducted by the Lewis County Soil and Water Conservation District on July 6 using a 15’ interseeder (Interseeder Technologies) with three drills between each corn row operating at 0.5” depth. Annual ryegrass (Mercury Brand, “Ribeye”) was used at 20 lb/A.

Weed control of the pre-emergence herbicides was evaluated on June 30 by visually estimating the percentage of the ground covered by the most prevalent species or categories – this year only common lambsquarters and “other broadleaf species” were present in sufficient quantity to rate. This was done using the same quadrat system described above and control was calculated in a similar manner.

Performance of the annual ryegrass was assessed on September 17 by collecting the aboveground biomass using the quadrat system and drying samples at 113 degrees F for 7 days before weighing. Although there would have been more cover crop biomass later in the fall, silage harvest would likely have altered the results.

Results and Discussion

Objective 1.

Most of the treatments performed similarly to 2019, but some were clearly affected by insufficient rainfall (Table 3). In the first 10 days after preemergence application, we had 0.5” rain, so some of those residual products were not optimally activated. We continued to see evidence of waterhemp resistance to WSSA groups 2 and 5, as represented by ResolveQ and atrazine, respectively.

We were able to apply only one post-emergence-only application in 2020 and it did not perform well, reflecting the drought conditions. In the 19 days prior to post application, we had 0.1” rain and there was no significant rain until nine days after the post-emergence application. In drought conditions, weeds become stressed and systemic herbicides do not translocate as they should.

The two-pass programs were generally more effective than pre- or post-only programs. They are also generally more expensive, but inclusion of more diverse chemistries and/or non-chemical tactics can reduce the risk of worsening the resistance problem. Furthermore, our waterhemp production and emergence model demonstrates that programs that control 100% of the waterhemp can result in greatly reduced emergence in subsequent years, whereas programs achieving 98% control or less will perpetuate the problem (Figure 1). Although 95% control would likely allow farmers to avoid a crop yield loss, the resulting waterhemp seed production and increase in emergence in subsequent years would likely make successful control more difficult over time.

Objective 2.

This objective was primarily focused on the effects of residual herbicides on interseeded annual ryegrass, but we also rated weed control prior to post-emergence applications (Table 4). Lambsquarters control was not as effective as in 2019, possibly related to decreased rainfall, but 0.9” rain was recorded in the first ten days following application, so activation should have been achieved. Other broadleaf control was also not as effective for certain treatments, but this may reflect the inclusion of velvetleaf in this category in 2020.

Injury to the interseeded annual ryegrass was similar to the results of the previous year (Table 5). Unfortunately, the 2019 effect of cultivation seemingly reducing the injury caused by Acuron was not observed in 2020. We were surprised in both years that atrazine did not cause more injury, but it may relate to the high organic matter of the field. Overall, Callisto again offered the most effective waterhemp control in Objective 1 trials, while causing minimal injury to the interseeded annual ryegrass. However, overlapping chloroacetamides (like Dual or Harness) is a key aspect of controlling resistant waterhemp and this tactic would not be compatible with interseeding.

Immediately prior to corn silage harvest, we had nearly 90% less annual ryegrass biomass in 2020 compared to 2019. The primary difference was that in 2020 the corn was larger at interseeding and likely outcompeted the annual ryegrass. In 2020, the corn had accumulated 655 growing degree days at interseeding compared to 550 in 2019. To access growing degree day information from a weather station near you visit http://newa.cornell.edu/ .

References

Davis AS, Fu X, Schutte BJ, Berhow MA, Dalling JW (2016) Interspecific variation in persistence of buried weed seeds follows trade-offs among physiological, chemical, and physical seed defenses. Ecology and Evolution. 6:6836–6845

Heneghan JM, Johnson WG (2017) The Growth and Development of Five Waterhemp (Amaranthus tuberculatus) Populations in a Common Garden. Weed Science. 65:247–255

Acknowledgements

Thank you to the New York Farm Viability Institute for supporting this project.

Disclaimer: Read pesticide labels prior to use. The information contained here is not a substitute for a pesticide label. Trade names used herein are for convenience only; no endorsement of products is intended, nor is criticism of unnamed products implied. Laws and labels change. It is your responsibility to use pesticides legally. Always consult with your local Cooperative Extension office for legal and recommended practices and products. cce.cornell.edu/localoffices

For more information on this project, check out: https://nysipm.cornell.edu/agriculture/weed-ipm/