Hostname: page-component-586b7cd67f-2brh9 Total loading time: 0 Render date: 2024-11-22T10:41:51.351Z Has data issue: false hasContentIssue false

Response of Palmer amaranth (Amaranthus palmeri S. Watson) and sugarbeet to desmedipham and phenmedipham

Published online by Cambridge University Press:  19 January 2021

Clint W. Beiermann
Affiliation:
Former Graduate Research Assistant, Department of Agronomy and Horticulture, University of Nebraska–Lincoln, Lincoln, NE, USA; current: Assistant Professor, Department of Research Centers, Montana State University, Northwestern Ag Research Center, Kalispell, MT, USA
Cody F. Creech
Affiliation:
Assistant Professor, Department of Agronomy and Horticulture, University of Nebraska–Lincoln, Panhandle Research and Extension Center, Scottsbluff, NE, USA
Stevan Z. Knezevic
Affiliation:
Professor, Department of Agronomy and Horticulture, University of Nebraska–Lincoln, Lincoln, NE, USA
Amit J. Jhala
Affiliation:
Associate Professor, Department of Agronomy and Horticulture, University of Nebraska–Lincoln, Lincoln, NE, USA
Robert Harveson
Affiliation:
Professor, Department of Plant Pathology, University of Nebraska–Lincoln, Panhandle Research and Extension Center, Scottsbluff, NE, USA
Nevin C. Lawrence*
Affiliation:
Assistant Professor, Department of Agronomy and Horticulture, University of Nebraska–Lincoln, Panhandle Research and Extension Center, Scottsbluff, NE, USA
*
Author for correspondence: Nevin Lawrence, Assistant Professor, Panhandle Research and Extension Center, University of Nebraska–Lincoln, 4502 Ave I, Scottsbluff, NE, 69361. Email: [email protected]
Rights & Permissions [Opens in a new window]

Abstract

A prepackaged mixture of desmedipham + phenmedipham was previously labeled for control of Amaranthus spp. in sugarbeet. Currently, there are no effective POST herbicide options to control glyphosate-resistant Palmer amaranth in sugarbeet. Sugarbeet growers are interested in using desmedipham + phenmedipham to control escaped Palmer amaranth. In 2019, a greenhouse experiment was initiated near Scottsbluff, NE, to determine the selectivity of desmedipham and phenmedipham between Palmer amaranth and sugarbeet. Three populations of Palmer amaranth and four sugarbeet hybrids were evaluated. Herbicide treatments consisted of desmedipham and phenmedipham applied singly or as mixtures at an equivalent rate. Herbicides were applied when Palmer amaranth and sugarbeet were at the cotyledon stage, or two true-leaf sugarbeet stage and when Palmer amaranth was 7 cm tall. The selectivity indices for desmedipham, phenmedipham, and desmedipham + phenmedipham were 1.61, 2.47, and 3.05, respectively, at the cotyledon stage. At the two true-leaf application stage, the highest rates of desmedipham and phenmedipham were associated with low mortality rates in sugarbeet, resulting in a failed response of death. The highest rates of desmedipham + phenmedipham caused a death response of sugarbeet; the selectivity index was 2.15. Desmedipham treatments resulted in lower LD50 estimates for Palmer amaranth compared to phenmedipham, indicating that desmedipham can provide greater levels of control for Palmer amaranth. However, desmedipham also caused greater injury in sugarbeet, producing lower LD50 estimates compared to phenmedipham. Desmedipham + phenmedipham provided 90% or greater control of cotyledon-size Palmer amaranth at a labeled rate but also caused high levels of sugarbeet injury. Neither desmedipham, phenmedipham, nor desmedipham + phenmedipham was able to control 7-cm tall Palmer amaranth at previously labeled rates. Results indicate that desmedipham + phenmedipham can only control Palmer amaranth if applied at the cotyledon stage and a high level of sugarbeet injury is acceptable.

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 (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
© The Author(s), 2021. Published by Cambridge University Press on behalf of Weed Science Society of America

Introduction

Sugarbeet is considered a poor competitor with weeds, compared to corn (Zea mays L.) and soybean (Glycine max L. Merr.), due to its low stature and relatively slow growth rate. Consequently, weed competition is considered one of the most limiting factors in sugarbeet production (Dawson Reference Dawson1965; Zimdahl and Fertig Reference Zimdahl and Fertig1967). It is estimated that without effective weed control, sugarbeet yield in North America would be reduced by 70% (Soltani et al. Reference Soltani, Dille, Robinson, Sprague, Morishita, Lawrence, Kniss, Jha, Felix, Nurse and Sikkema2018). By comparison, yield of corn and soybean would be expected to be reduced 50% without effective weed control (Soltani et al. Reference Soltani, Dille, Burke, Everman, VanGessel, Davis and Sikkema2016, Reference Soltani, Dille, Burke, Everman, VanGessel, Davis and Sikkema2017).

Desmedipham and phenmedipham are photosystem II inhibitors in the phenylcarbamate family (WSSA Site of Action Group 5). Desmedipham and phenmedipham were used extensively for POST weed control in sugarbeet before the development and commercial cultivation of glyphosate-resistant sugarbeet. These herbicides provide selective weed control because, compared to susceptible weed species, sugarbeet exhibits rapid metabolism of desmedipham and phenmedipham (Hendrick et al. Reference Hendrick, Meggitt and Penner1974). Desmedipham, marketed as the product Betanex® (Bayer CropScience, Research Triangle Park, NC) (Anonymous 2010), was primarily used for control of redroot pigweed (Amaranthus retroflexus L.) (Eshel et al. Reference Eshel, Schweizer and Zimdahl1976) because phenmedipham was not effective (Hendrick et al. Reference Hendrick, Meggitt and Penner1974). A prepackaged mixture of desmedipham + phenmedipham became available in 1982 for POST weed control (Dexter Reference Dexter1994), registered as the product Betamix® (Bayer CropScience) (Anonymous 2011). U.S. registration for the products Betamix and Betanex was cancelled in 2014 (EPA 2014).

Desmedipham + phenmedipham effectively controls the annual broadleaf species redroot pigweed, common lambsquarters (Chenopodium album L.), and hairy nightshade (Solanum sarrachoides Sendtn.) (Anonymous 2011), while improving crop safety in comparison to POST application of desmedipham (Dexter Reference Dexter1994). However, even with improved crop safety of desmedipham + phenmedipham, application was known to cause injury in sugarbeet (Dexter Reference Dexter1994; Weinlaeder and Dexter Reference Weinlaeder and Dexter1972) and reduce yield (Starke et al. Reference Starke, Renner, Penner and Roggenbuck1996; Wilson Reference Wilson1999).

A split-rate application program was developed in an effort to reduce sugarbeet injury, using a half rate of desmedipham + phenmedipham, followed by a second application 5–7 d later (Dexter Reference Dexter1994). The split-rate program provided greater control of redroot pigweed and reduced sugarbeet injury compared to applying a full rate of desmedipham + phenmedipham in a single POST application (Dexter Reference Dexter1994). The split-rate program was additionally modified into a “microrate” program, which involved the further lowering of herbicide rates to allow up to three sequential POST applications (Dale et al. Reference Dale, Renner and Kravchenko2006). The microrate program later included the herbicides ethofumesate, triflusulfuron, and clopyralid in addition to desmedipham + phenmedipham (Dale et al. Reference Dale, Renner and Kravchenko2006). The microrate program was widely used in sugarbeet production regions of North Dakota and Minnesota (Dexter and Luecke Reference Dexter and Luecke1998).

Weed management was intensive with the aforementioned herbicides combined in a microrate program, and sugarbeet injury was expected even with multiple applications at regular intervals (Morishita Reference Morishita2017). Not surprisingly, adoption of glyphosate-resistant sugarbeet was rapid once it became commercially available in 2007 (Khan Reference Khan2010; Morishita Reference Morishita2017). Glyphosate provided excellent control of annual broadleaf species in sugarbeet, such as kochia [Bassia scoparia (L.) A.J. Scott], common lambsquarters, and redroot pigweed (Knezevic et al. Reference Knezevic, Klein, Shea, Creech, Kruger, Ogg, Jhala, Proctor and Lawrence2020). POST applications of glyphosate in glyphosate-resistant sugarbeet increased weed control, reduced crop injury, and presented cost savings compared with other herbicide options, including desmedipham + phenmedipham (Kniss et al. Reference Kniss, Wilson, Martin, Burgener and Feuz2004; Morishita Reference Morishita2017; Wilson et al. Reference Wilson, Yonts and Smith2002). Since the introduction of glyphosate-resistant sugarbeet, 99% of sugarbeet acreage in the United States is planted to glyphosate-resistant sugarbeet for weed control (Fernandez-Cornejo et al. Reference Fernandez-Cornejo, Wechsler and Milkove2016).

Glyphosate-resistant sugarbeet technology has been highly successful and, as a result, the Betamix and Betanex product registrations have expired, leaving only clopyralid, triflusulfuron, and glyphosate as registered POST broadleaf weed control products available in sugarbeet. Long-chain fatty acid–inhibiting herbicides (Group 15) are labeled for POST application in sugarbeet, but due to crop safety concerns, can only be applied after sugarbeet reaches two true leaves. Ethofumesate (Group 16) and cycloate (Group 8) are labeled for PRE application in sugarbeet but have little activity on Amaranthus spp. (Kniss and Lawrence Reference Kniss and Lawrence2020). There are no labeled herbicides that are available to control broadleaf weeds that emerge between planting and the two true leaf stage and that are resistant or have reduced susceptibility to glyphosate, triflusulfuron, and clopyralid.

Glyphosate-resistant Palmer amaranth is becoming widespread in the sugarbeet production regions of western Nebraska and eastern Colorado (Vieira et al. Reference Vieira, Samuelson, Alves, Gaines, Werle and Kruger2017). Palmer amaranth is a dioecious species, native to the southwestern United States and Mexico (Sauer Reference Sauer1957). It is particularly troublesome in crop production due to its ability to emerge for a long time during the growing season (Jha and Norsworthy Reference Jha and Norsworthy2009). Palmer amaranth achieves optimum germination at fluctuating soil temperatures above 20 C and emerges rapidly in comparison with other Amaranthus species (Steckel et al. Reference Steckel, Sprague, Stoller and Wax2004). Palmer amaranth is a highly competitive weed species because of its rapid rate of growth (Jha et al. Reference Jha, Norsworthy, Riley, Bielenberg and Bridges2008) and prolific seed production (Chahal et al. Reference Chahal, Aulakh, Jugulam, Jhala, Price, Kelton and Sarunaite2015; Ward et al. Reference Ward, Webster and Steckel2013). Palmer amaranth is resistant to glyphosate in many areas of the United States (Chahal et al. Reference Chahal, Varanasi, Jugulam and Jhala2017; Culpepper et al. Reference Culpepper, Grey, Vencill, Kichler, Webster, Brown, York, Davis and Hanna2006; Vieira et al. Reference Vieira, Samuelson, Alves, Gaines, Werle and Kruger2017), which greatly compromises weed control in sugarbeet and threatens future production (Morishita Reference Morishita2017).

Multiple Amaranthus species have reduced sugarbeet root yield, including Powell amaranth (A. powellii S. Watson) (Schweizer and Lauridson Reference Schweizer and Lauridson1985), Palmer amaranth (Schultz and Lawrence, Reference Schultz and Lawrence2019), and redroot pigweed (Brimhall et al. Reference Brimhall, Chamberlain and Alley1965; Heidari et al. Reference Heidari, Nasab, Javanshir, Khoie and Moghaddam2007; Stebbing et al. Reference Stebbing, Wilson, Martin and Smith2000). Sugarbeet growers in western Nebraska and eastern Colorado are searching for alternative POST herbicides to control glyphosate-resistant Palmer amaranth. Although combination desmedipham + phenmedipham is no longer labeled, sugarbeet growers have access to leftover supplies and are trying to use this product as a rescue treatment when glyphosate fails to control Palmer amaranth. In rescue situations, Palmer amaranth is often 20–30 cm tall, because several days will pass before a failed POST application of glyphosate is noticed. Then a decision can be made to apply desmedipham + phenmedipham as a rescue treatment. Desmedipham + phenmedipham and desmedipham are labeled to control Palmer amaranth when applied at the cotyledon stage, but not when Palmer amaranth is larger. Dexter (Reference Dexter1994) reported the efficacy of desmedipham + phenmedipham on Amaranthus spp. depends on the size of the weeds at the time of application, making this treatment a poor choice in a rescue situation.

Phenmedipham is available in the United States as the product Spin-Aid® (Bayer CropScience), which is labeled in red beet (Beta vulgaris L.) and spinach (Spinacia oleracea L.). However, phenmedipham is not registered in sugarbeet and is not labeled to control Amaranthus spp. (Anonymous 2009).

The Betamix (desmedipham 274 g ai ha−1 + phenmedipham 274 g ai ha−1) and Betanex (desmedipham 547 g ai ha−1) products allow a maximum rate of 547 g ai ha−1 for application to sugarbeet at the cotyledon and two true-leaf stages, whereas the rate is increased to 820 g ai ha−1 when sugarbeet reaches four true leaves. In a 2017 field experiment, researchers evaluated Palmer amaranth control at various sizes with desmedipham + phenmedipham in a simulated rescue application. In this trial, desmedipham + phenmedipham applied POST at 547 g ai ha−1 resulted in poor control of Palmer amaranth between 0.5 and 1.5 cm in height and in a high level of sugarbeet injury (Beiermann et al. Reference Beiermann, Lawrence, Knezevic, Jhala and Creech2018). Therefore, an experiment was initiated in 2019 to evaluate the response of Palmer amaranth and sugarbeet to desmedipham and phenmedipham in a greenhouse environment. The objectives of this experiment were to (1) determine the selectivity of desmedipham and phenmedipham between Palmer amaranth and sugarbeet at two distinct developmental stages, and (2) to determine the weed control and crop safety contribution of desmedipham and phenmedipham individually, within a formulated premixture of desmedipham + phenmedipham. Results from this experiment may help growers understand the utility of desmedipham + phenmedipham applied as a rescue treatment, and the data may support label expansion of phenmedipham to include sugarbeet or reregistration of desmedipham and desmedipham + phenmedipham in sugarbeet.

Materials and Methods

Site Description

A greenhouse experiment was conducted in 2019 at the University of Nebraska Panhandle Research and Extension Center, located near Scottsbluff, NE (41.89°N, 103.68°W). The first and second runs of the experiment were planted on June 12 and August 8, respectively. Palmer amaranth and sugarbeet were grown separately in plastic square pots 9 cm wide and 8 cm deep (T.O. Plastics, Clearwater, MN), and were filled with Sungro® potting mix (Sungro Horticulture, Agawam, MA). The potting mix contained no supplemental nutrients and was composed of 80% peat moss and 20% perlite. Greenhouse temperatures were maintained between 31 C (day) and 24 C (night). Supplemental lighting (P.L. Lighting Systems Inc., Beamsville, Ontario, Canada) was used to maintain a consistent photoperiod of 16 hours light and 8 hours dark. Plants were hand watered once daily throughout the duration of the experiments.

Treatment and Experimental Design

The experiment was laid out in a randomized complete block design with six and four replications in the first and second run, respectively. In the high-plains sugarbeet production region of Colorado and Nebraska, Palmer amaranth first begins to emerge approximately 1 wk before sugarbeet is planted (late April). Early-season weed control, (from planting to the two true-leaf stage of sugarbeet) is the most challenging time for control of Palmer amaranth. Therefore, Palmer amaranth and sugarbeet were planted at the same time in each run of the experiment to simulate a difficult weed-control scenario and subsequently were thinned to 1 plant pot−1 within 2 d after emergence. Palmer amaranth seed was treated with 5 mL of 0.1 M KNO3 solution to help ensure adequate germination (Buhler and Hoffman Reference Buhler and Hoffman1999). Herbicide treatments were applied with a Generation III Research sprayer (DeVries Manufacturing, Hollandale, MN) equipped with an 8002 EVS TeeJet© nozzle (TeeJet Technologies, Wheaton, IL) calibrated to deliver the equivalent of 140 L ha–1 spray solution.

Three Palmer amaranth accessions were evaluated in both runs of the experiment: a local field population from Scottsbluff, NE; a confirmed triazine-resistant population from south-central Nebraska (Jhala et al. Reference Jhala, Sandell, Rana, Kruger and Knezevic2014); and a field population from Hays, KS. The first run of the experiment included two sugarbeet varieties, Crystal® W611NT GEM 100 and Beta® BTS 60RR27 Pro 50 (both from Betaseed Inc., Shakopee, MN). In the second run of the experiment, Beta BTS 60RR27 Pro 50 was used again along with Hilleshog® H7-1 (Hilleshog Seeds, Longmont, CO) and a noncommercial Hilleshog conventional variety.

The Betamix formulated premix of desmedipham (77.9 g ai L–1) + phenmedipham (77.9 g ai L–1) was applied at 274, 547, 1,090, and 2,190 g ai ha−1, corresponding to each individual component being applied at 137, 274, 547, 1,090 g ai ha−1. Desmedipham and phenmedipham were applied individually as the formulated products Betanex, and Spin-Aid, respectively, at 137, 274, 547, 1,090 g ai ha−1, representing their equivalent individual rate in the Betamix product.

The second run of the experiment contained the same treatments as the first, with the additional rates of 137 and 4,380 g ai ha−1 of Betamix and equivalent rates of desmedipham and phenmedipham of 68 and 2,190 g ai ha−1. Herbicide treatments were mixed with 1.5 % vol/vol methylated seed oil. The maximum labeled field rate of Betamix (desmedipham 274 g ai ha−1 + phenmedipham 274 g ai ha−1) and Betanex (desmedipham 547 g ai ha−1) for application to the cotyledon and two true-leaf stages of sugarbeet is 547 g ai ha−1. Treatments of 547 g ai ha−1 hereafter in this article are referred to as a field rate or 1× rate, depending on context.

Treatments were applied at two separate timings on the basis of the size of Palmer amaranth and growth stage of sugarbeet. At the first application, both Palmer amaranth and sugarbeet were at the cotyledon stage. Palmer amaranth was 2 cm tall and sugarbeet was 1.5 cm tall 4 d after emergence. At the second application, Palmer amaranth was 7 cm tall and sugarbeet was 5 cm at the two true-leaf stage 12 d after emergence. Palmer amaranth and sugarbeet were treated together on the same day with the same treatment mixtures. Plants were not watered until the day after herbicide application to ensure effective herbicide absorption.

Data Collection

Plant death was assessed as a binary response (alive or dead) 2 wk after treatment. Treated plants failing to regrow after treatment and lacking any green tissues were considered dead. After assessing plant death, aboveground biomass of Palmer amaranth and sugarbeet was harvested and oven dried for 72 h at 50 C before weighing.

Statistical Analysis

Data from each run of the experiment were analyzed separately. Analysis was done with R software (R Core Team, 2019) by nonlinear regression using the DRC package (Ritz et al. Reference Ritz, Baty, Streibig and Gerhard2015). Sugarbeet varieties responded similarly to all herbicide treatments, as did Palmer amaranth accessions. Therefore, all sugarbeet varieties were combined, and all Palmer amaranth accessions were combined. Hereafter in this article, discussion of plant response to herbicide treatments refers to either sugarbeet or Palmer amaranth, but not individual varieties or accessions. Variety and accessions were combined using nonlinear mixed-effects regression with the medrc package (Gerhard and Ritz, Reference Gerhard and Ritz2016). An LL.2 model was used for survival response, with sugarbeet variety and Palmer amaranth accession added as random effects, as shown in Equation 1:

([1]) $$f\left( x \right)} = {\frac{1}\over{{1 + \exp \left( {b\left( {\log \left( x \right) - \log \left( e \right)} \right)} \right)}}$$

Biomass data were also combined using the medrc package (Gerhard and Ritz, Reference Gerhard and Ritz2016), and an LL.3 model was fit with variety and accession as random effects, as shown in Equation 2:

([2]) $$f\left( x \right) = c + {\frac{{1 - c}}\over{{1 + \exp \left( {b\left( {\log \left( x \right) - e} \right)} \right)}}$$

The selectivity index (SI) was calculated as described by Kniss and Streibig (Reference Kniss and Streibig2018) by dividing the estimated ED10 of sugarbeet by the ED90 of Palmer amaranth (Equation 3):

([3]) $${\rm{SI}} = {\frac{{\left[ {E{D_{10}}} \right]crop}}\over{{\left[ {E{D_{90}}} \right]weed}}$$

The SI was only calculated using the mortality data and not biomass data.

Results and Discussion

Herbicide Dose-Response at Cotyledon Application Stage

Palmer amaranth response with desmedipham + phenmedipham resulted in an LD90 that was lower than a full labeled rate (547 g ai ha−1) in both runs of the experiment, indicating an effective level of control (Table 1). Phenmedipham and desmedipham treatments had LD90 values greater than the 1× field rate in the first run of the experiment, indicating they did not provide effective control (Table 1). However, the LD90 of both phenmedipham and desmedipham was reduced in the second run of the experiment, and they both provided effective Palmer amaranth control at the 1× equivalent field rate (Table 1).

Table 1. Parameter estimates and SEs of the two-parameter log-logistic model of survival of sugarbeet and Palmer amaranth treated at the cotyledon growth stage in a greenhouse experiment in 2019.

a Plant species and two separate experiment runs, modeled separately.

b Abbreviations: —, no response of model; b, slope; SI, selectivity index.

c Sugarbeet LD10/Palmer amaranth LD90.

Phenmedipham was inconsistent in Palmer amaranth control. Phenmedipham resulted in the highest LD50 and provided almost 50% Palmer amaranth control at the 1× rate in the first run of the experiment. In the second run, phenmedipham provided effective Palmer amaranth control and resulted in a lower LD50 and GR50, compared with desmedipham + phenmedipham, and provided greater than 90% control at the 1× rate (Tables 1 and 2). Desmedipham resulted in the lowest LD50 and GR50 for Palmer amaranth in both runs of the experiment and provided the greatest control efficacy compared with other treatments.

Table 2. Parameter estimates (b, d, and e) and SEs of the three-parameter log-logistic model for sugarbeet and Palmer amaranth biomass treated with desmedipham and phenmedipham at the cotyledon stage in a greenhouse experiment in 2019.

a Plant species and two separate experiment runs, modeled separately.

b Abbreviations: —, no response of model; b, slope; d, upper limit; GR50, 50% biomass reduction.

At the cotyledon stage, death was not observed in sugarbeet at the highest rates of desmedipham or phenmedipham applied alone, corresponding to a 2× field rate, in the first run of the experiment. The additional increased 4× rate in the second run achieved sugarbeet death and allowed for an LD50 to be calculated for all herbicide treatments in sugarbeet. Sugarbeet response to desmedipham + phenmedipham resulted in an LD10 above a labeled rate, indicating crop safety (Table 1). Desmedipham caused the highest mortality rate in sugarbeet, as evidenced by the lowest LD50 and GR50, in the second run of the experiment (Tables 1 and 2). The LD50 for desmedipham is 612 g ai ha−1 (Table 1), relatively close to the field rate of 547 g ai ha−1, indicating nearly 50% mortality, which is an unacceptable level of crop injury. Phenmedipham exhibited the greatest crop safety; it had the highest GR50 of sugarbeet in the first run, and the highest LD50 and a similar GR50 to desmedipham + phenmedipham in the second run (Tables 1 and 2).

As a general trend, equivalent rates in the second run provided better Palmer amaranth control than in the first run for desmedipham and phenmedipham (Table 1). Although adding additional rates in the second run improved model fit, the increased sugarbeet and Palmer amaranth injury observed between experiments may be best explained by normal variation in herbicide response observed from repeating experiments.

Desmedipham + phenmedipham provided effective control of cotyledon-sized Palmer amaranth in both runs of the experiment at the 1× field rate (Figure 1). The individual desmedipham and phenmedipham treatments controlled cotyledon Palmer amaranth at the 1× rate in the second run of the experiment only (Figure 1). Desmedipham + phenmedipham provided greater consistency of Palmer amaranth control and resulted in a similar LD50 for Palmer amaranth in both runs (Table 1).

Figure 1. Survival of sugarbeet and Palmer amaranth treated at the cotyledon stage 2 wk after desmedipham and phenmedipham were applied alone or together. A two-parameter log-logistic model was used to determine the response. Horizontal error bars represent the SE of the e parameter (LD50).

Desmedipham caused an unacceptable level of sugarbeet injury at the 1× field rate, resulting in nearly 50% mortality (Figure 1). The estimated LD10 for cotyledon sugarbeet treated with phenmedipham and desmedipham + phenmedipham is greater than the 1× field rate for both herbicides, indicating that a low mortality rate is expected from these treatments (Table 1). However, sugarbeet injury was greater in the second run, indicated by reduced LD50 and LD10 (Table 1). Desmedipham + phenmedipham showed the most potential for effective control of Palmer amaranth at the cotyledon stage; the combination provided consistent weed control and improved crop safety, compared to desmedipham and phenmedipham applied alone.

Herbicide Dose-Response at Two True-Leaf Application Stage

At the two true-leaf application timings, desmedipham and phenmedipham did not cause significant death in sugarbeet at the highest application rate in either run of the experiment (Table 3). Desmedipham + phenmedipham caused sugarbeet death, but only when applied at rates far exceeding labeled guidelines (Table 3). The estimated LD50 and GR50 were considerably lower in the first run compared to the second, which can be partially attributed to the additional higher rate in the second run improving model fit. The LD50 of both sugarbeet and Palmer amaranth at the two true-leaf application was increased for all herbicides compared with the cotyledon application timing. This observation agrees with the conclusions of Dexter (Reference Dexter1994) and Weinlaeder and Dexter (Reference Weinlaeder and Dexter1972) that both sugarbeet and redroot pigweed gain tolerance to desmedipham and phenmedipham as plants increase in size.

Table 3. Parameter estimates and SEs of the two-parameter log-logistic model of survival of sugarbeet and Palmer amaranth treated at the two true-leaf stage and 7 cm height, respectively, in a greenhouse experiment in 2019.

a Plant species and two separate experiment runs, modeled separately.

b Abbreviations: —, no response of model; b, slope; SI, selectivity index.

c Sugarbeet LD10/Palmer amaranth LD90.

Desmedipham resulted in the lowest LD50 and GR50 of Palmer amaranth (Tables 3 and 4). The higher efficacy of desmedipham to control 7-cm tall Palmer amaranth follows the pattern of greater efficacy observed with desmedipham when applied at the cotyledon stage. Desmedipham + phenmedipham resulted in a higher LD50 for Palmer amaranth than desmedipham (Table 3). The 1× field rate of desmedipham + phenmedipham did not provide effective Palmer amaranth control in either run of the experiment; the highest level of control observed was near 50% (Figure 2). Phenmedipham did not cause Palmer amaranth death in the first run, and in the second run resulted in the highest estimated LD50 (Table 3). Phenmedipham applied at four times the equivalent of a field rate only provided 50% Palmer amaranth control (Figure 2).

Table 4. Parameter estimates (b, d, and e) and SEs of the three-parameter log-logistic model for sugarbeet and Palmer amaranth biomass treated with desmedipham and phenmedipham at the two true-leaf sugarbeet growth stage in a dose-response experiment in 2019.

a Plant species and two separate experiment runs, modeled separately.

b Abbreviations: b, slope; d, upper limit; GR50, 50% biomass reduction.

Figure 2. Survival of sugarbeet at the two true-leaf stage and Palmer amaranth when 7 cm tall at 2 wk after desmedipham or phenmedipham were applied alone or together. A two-parameter log-logistic model was used to determine the response. Horizontal error bars represent the SE of the e parameter (LD50).

None of the herbicides provided effective control of 7-cm tall Palmer amaranth at equivalent labeled field rates. Desmedipham resulted in lower LD50 and lower GR50 values compared to phenmedipham, indicating that desmedipham provides greater efficacy in controlling Palmer amaranth, but desmedipham also caused greater sugarbeet injury compared with phenmedipham (Tables 3 and 4). Desmedipham contributed to more of the observed weed control activity compared to phenmedipham in the formulated Betamix product. The increased weed control efficacy of desmedipham compared to phenmedipham has been observed at the field level. Adbollahi and Ghadiri (Reference Abdollahi and Ghadiri2004) found the control of common lambsquarters and redroot pigweed improved when desmedipham + phenmedipham was applied, compared with phenmedipham applied alone. Hendrick et al. (Reference Hendrick, Meggitt and Penner1974) reported that redroot pigweed could metabolize phenmedipham at an accelerated rate compared to desmedipham, and a similar mechanism may be responsible for the increased efficacy of desmedipham compared to phenmedipham for control of Palmer amaranth.

Selectivity

A selectivity index greater than 2 indicates there is potential selectivity for a product to be used safely in a crop (Bartley Reference Bartley, Streibig and Kudsk1993). At the cotyledon application stage, all three herbicide treatments achieved selectivity between Palmer amaranth and sugarbeet, meaning that the rate estimated to cause 90% mortality in Palmer amaranth was lower than the rate estimated to cause 10% mortality in sugarbeet. Achieving selectivity in a controlled dose-response experiment indicates there is potential for a field application of the herbicide at specific rates that will cause acceptable control of a weed species without excessive crop injury.

At the cotyledon application timing, desmedipham + phenmedipham had the highest calculated selectivity index (3.7 to 3.1), whereas desmedipham had the lowest (1.6) (Table 1). Palmer amaranth treated with desmedipham resulted in the lowest LD90, indicating desmedipham can provide 90% Palmer amaranth control at a lower rate than phenmedipham or desmedipham + phenmedipham (Table 1). However, sugarbeet treated with desmedipham resulted in a lower LD10 compared with other treatments, reducing the selectivity (Table 1). Phenmedipham provided less control of Palmer amaranth at equivalent rates to desmedipham but resulted in a greater selectivity index (2.5), due to reduced injury in sugarbeet, indicated by a higher LD10 (Table 1).

At the two true-leaf application timing, selectivity could only be calculated for desmedipham + phenmedipham, because an LD10 of sugarbeet could not be estimated for other treatments (Table 3). Selectivity of desmedipham + phenmedipham was not achieved in the first run of the experiment between Palmer amaranth and sugarbeet, and the resulting selectivity index was less than 1, which indicates the application rate required to achieve control of Palmer amaranth is greater than the rate causing 10% mortality in sugarbeet (Table 3). In the second run of the experiment, the selectivity index for desmedipham + phenmedipham is 2.2 (Table 3). Although a value greater than 2 demonstrates potential for use in the crop, an LD10 in sugarbeet and an LD90 in Palmer amaranth were achieved at a use rate of 1,082 g ai ha−1, which is twice the maximum labeled rate.

The selectivity of desmedipham + phenmedipham at the two true-leaf application was reduced compared with the cotyledon application (Tables 1 and 3). The tolerance of sugarbeet to desmedipham + phenmedipham was increased at the two true-leaf stage compared to the cotyledon stage, as evidenced by the increased LD50 and GR50. However, the tolerance of Palmer amaranth to desmedipham + phenmedipham also increased from the cotyledon stage and required a higher rate to reach 90% mortality. This increase in the rate required to control Palmer amaranth reduced the range between rates that would selectively control Palmer amaranth and not cause excessive injury in sugarbeet.

Practical Implications

The 1× rate of desmedipham + phenmedipham controlled Palmer amaranth and resulted in a low mortality rate in sugarbeet when applied at the cotyledon stage (Figure 1). However, death is not a complete indication of crop injury; growers applied desmedipham + phenmedipham knowing that substantial injury would occur. Figure 3 shows desmedipham + phenmedipham applied to cotyledon sugarbeet 10 d after treatment. Sugarbeet treated with the 1× labeled field rate had a high amount of foliar injury and severe stunting compared to the nontreated control. Sugarbeet treated with the 1× field rate were considered as surviving if they began regrowth; however, yield loss is expected from this level of crop injury. The estimated GR50 for cotyledon sugarbeet treated with desmedipham + phenmedipham was near the 1× field rate in the first run and lower that the 1× field rate in the second run, revealing the high amount of growth reduction and crop injury caused (Table 3).

Figure 3. Palmer amaranth and sugarbeet, treated with desmedipham + phenmedipham at the cotyledon stage, 10 d after application. Plants are arranged starting with nontreated control at the left, moving to the right up to the 8× rate.

The potential for effective Palmer amaranth control at the two true-leaf application was not evident, because none of the herbicide treatments provided effective Palmer amaranth control without risking unacceptable rates of plant mortality. The 1× rate of desmedipham + phenmedipham resulted in 50% Palmer amaranth mortality, whereas the 1× desmedipham rate resulted in 75% Palmer amaranth mortality (Figure 2), neither of which is an acceptable level of control. The phenmedipham treatment provided the poorest control of Palmer amaranth, as indicated by the higher LD50 and GR50 values (Tables 3 and 4).

The level of sugarbeet injury sustained from the 1× desmedipham + phenmedipham treatment at the two true-leaf application shows improved crop tolerance, in comparison to the cotyledon stage (Figures 3 and 4). However, a labeled application at two true leaves does cause crop injury without providing an effective level of Palmer amaranth control. The maximum application rate of desmedipham and desmedipham + phenmedipham increased to 820 g ai ha−1 when sugarbeet reached four true leaves; however, the possibility of control at this rate is not evident on the basis of the performance of equivalent applications to 7-cm tall Palmer amaranth. Furthermore, Palmer amaranth that emerged at the same time as sugarbeet would be taller than 7 cm when the four true-leaf stage is reached, further diminishing control.

Figure 4. Palmer amaranth and sugarbeet, treated with desmedipham + phenmedipham when they were 7cm tall and at the two true-leaf stage, respectively, at 10 d after application. Plants are arranged starting with nontreated control at the left, moving to the right up to the 8× rate.

The lack of control achieved on 7-cm tall Palmer amaranth reveals that the success of a rescue treatment with desmedipham, phenmedipham, or desmedipham + phenmedipham is not possible even when applying rates exceeding label recommendations. In a rescue situation, Palmer amaranth will be 10–20 cm tall when glyphosate failure is identified and a rescue treatment can be made. Anecdotally, growers in the Panhandle of Nebraska have attempted late-season rescue treatments with desmedipham + phenmedipham at rates exceeding 1,457 g ai ha−1 and failed to control glyphosate-resistant Palmer amaranth. There is potential for desmedipham + phenmedipham to control cotyledon-sized Palmer amaranth. However, application timing would be highly critical to the success of control, and growers would have to accept the potential of a high level of crop injury. Desmedipham + phenmedipham may still be effective when used in a split application or microrate program in which single application rates were reduced to improve crop injury (Dale et al. Reference Dale, Renner and Kravchenko2006; Dexter Reference Dexter1994); however, returning to such intensive weed management is likely unpalatable after years of relying on glyphosate for broadleaf weed control in sugarbeet.

Sugarbeet growers using desmedipham or phenmedipham in any type of POST program will have to accept the increased crop injury and herbicide cost compared to glyphosate (Kniss et al. Reference Kniss, Wilson, Martin, Burgener and Feuz2004; Wilson Reference Wilson1999). Desmedipham and phenmedipham have limited utility for controlling Palmer amaranth in western Nebraska and will not provide control of Palmer amaranth as a rescue treatment. With desmedipham and phenmedipham no longer labeled for US sugarbeet, there is a critical need for alternative herbicides to control glyphosate-resistant weeds, especially early in the season.

Acknowledgments

The authors acknowledge Hilleshog Seed and KWS companies for providing sugarbeet seed. The authors also acknowledge the two anonymous reviewers for their contributions to improving this manuscript. The authors thank Vipan Kumar for contributing Palmer amaranth seed for use in the experiment. This research received no specific grant from any funding agency, commercial or not-for-profit sectors. No conflicts of interest have been declared.

Footnotes

Associate Editor: Vipan Kumar, Kansas State University

References

Abdollahi, F, Ghadiri, H (2004) Effect of separate and combined applications of herbicides on weed control and yield of sugar beet. Weed Technol 18:968976 CrossRefGoogle Scholar
Anonymous (2011) Betamix® herbicide product label. Research Triangle Park, NC: Bayer CropScience Google Scholar
Anonymous (2010) Betanex® herbicide product label. Research Triangle Park, NC: Bayer CropScience Google Scholar
Anonymous (2009) Spin-Aid® herbicide product label. Research Triangle Park, NC: Bayer CropScience Google Scholar
Bartley, MR (1993) Assessment of herbicide selectivity. Pages 57–73 in Streibig, JC, Kudsk, P, eds. Herbicide Bioassays. Boca Raton, FL: CRC Press Google Scholar
Beiermann, CW, Lawrence, NC, Knezevic, SZ, Jhala, A, Creech, CF (2018) Rescue treatment options for glyphosate-resistant palmer amaranth in sugarbeet. Pages 25–26 in Proceedings of the Western Society of Weed Science. Garden Grove, CA: Weed Science Society of AmericaGoogle Scholar
Brimhall, PB, Chamberlain, EW, Alley, HP (1965) Competition of annual weeds and sugar beets. Weeds 13:3335 CrossRefGoogle Scholar
Buhler, DD, Hoffman, ML, eds (1999) Andersen’s Guide to Practical Methods of Propagating Weeds and Other Plants. Lawrence, KS: Allen Press. 5 p Google Scholar
Chahal, PS, Aulakh, JS, Jugulam, M, Jhala, AJ (2015) Herbicide-resistant Palmer amaranth (Amaranthus palmeri S. Wats.) in the United States. Mechanisms of resistance, impact, and management. Pages 1–40 in: Price, AJ, Kelton, JA, Sarunaite, L (eds). Herbicides, Agronomic Crops, and Weed Biology. New York, NY: In Tech Scientific Publisher Google Scholar
Chahal, PS, Varanasi, VK, Jugulam, M, Jhala, AJ (2017) Glyphosate-resistant palmer amaranth (Amaranthus palmeri) in Nebraska: confirmation, EPSPS gene amplification, and response to post corn and soybean herbicides. Weed Technol 31:8093 CrossRefGoogle Scholar
Culpepper, AS, Grey, TL, Vencill, WK, Kichler, JM, Webster, TM, Brown, SM, York, AC, Davis, JW, Hanna, WW (2006) Glyphosate-resistant palmer amaranth (Amaranthus palmeri) confirmed in Georgia. Weed Sci 54:620626 CrossRefGoogle Scholar
Dale, TM, Renner, KA, Kravchenko, AN (2006) Effect of herbicides on weed control and sugarbeet (Beta vulgaris) yield and quality. Weed Technol 20:150156 CrossRefGoogle Scholar
Dawson, JH (1965) Competition between irrigated sugar beets and annual weeds. Weeds 13:245249 CrossRefGoogle Scholar
Dexter, AG (1994) History of sugarbeet (Beta vulgaris) herbicide rate reduction in North Dakota and Minnesota. Weed Technol 8:334337 CrossRefGoogle Scholar
Dexter, AG, Luecke, JL (1998) Special survey of micro-rate, 1998. Sugarbeet Research & Education Board. http://archive.sbreb.org/Research/weed/weed98/98P64.HTM Accessed: April 1, 2020Google Scholar
[EPA] Environmental Protection Agency (2014) Product cancellation order for certain pesticide registrations. US Federal Register 79:1424714250 Google Scholar
Eshel, Y, Schweizer, EE, Zimdahl, RL (1976) Sugarbeet tolerance of post-emergence applications of desmedipham and ethofumesate. Weed Res 16:249254 CrossRefGoogle Scholar
Fernandez-Cornejo, J, Wechsler, S, Milkove, D (2016) The adoption of genetically engineered alfalfa, canola, and sugarbeets in the United States. Washington DC: US Department of Agriculture Economic Research Service. 163 p Google Scholar
Gerhard, D, Ritz, C (2016) An introduction to the package medrc. https://doseresponse.github.io/medrc/articles/medrc.html. Accessed: March 27, 2020Google Scholar
Heidari, G, Nasab, ADM, Javanshir, A, Khoie, FR, Moghaddam, M (2007) Influence of redroot pigweed (Amaranthus retroflexus L.) emergence time and density on yield and quality of two sugar beet cultivars. J Food Agric Environ 5:261266 Google Scholar
Hendrick, LW, Meggitt, WF, Penner, D (1974) Basis for selectivity of phenmedipham and desmedipham on wild mustard, redroot pigweed, and sugar beet. Weed Sci 22:179184 CrossRefGoogle Scholar
Jha, P, Norsworthy, JK (2009) Soybean canopy and tillage effects on emergence of palmer amaranth (Amaranthus palmeri) from a natural seed bank. Weed Sci 57:644651 CrossRefGoogle Scholar
Jha, P, Norsworthy, JK, Riley, MB, Bielenberg, DG, Bridges, W Jr. (2008) Acclimation of palmer amaranth (Amaranthus palmeri) to shading. Weed Sci 56:729734 CrossRefGoogle Scholar
Jhala, AJ, Sandell, LD, Rana, N, Kruger, GR, Knezevic, SZ (2014) Confirmation and control of triazine and 4-hydroxyphenylpyruvate dioxygenase-inhibiting herbicide-resistant palmer amaranth (Amaranthus palmeri) in Nebraska. Weed Technol 28:2838 CrossRefGoogle Scholar
Khan, MFR (2010) Introduction of glyphosate-tolerant sugar beet in the United States. Outlooks Pest Manage 21:3841 CrossRefGoogle Scholar
Knezevic, SZ, Klein, RN, Shea, PJ, Creech, CF, Kruger, GR, Ogg, CL, Jhala, AJ, Proctor, CA, Lawrence, NC (2020) Guide for weed, disease, and insect management in Nebraska. UNL Extension publication EC130. Lincoln, NE: University of Nebraska–Lincoln Google Scholar
Kniss, AR, Lawrence, NC (2020) Efficacy of metamitron applied PRE in the high plains sugar beet production region. Page 224 in Proceedings of the Western Society of Weed Science. Maui, HI: Weed Science Society of AmericaGoogle Scholar
Kniss, AR, Streibig, JC (2018) Statistical analysis of agricultural experiments using R. https://rstats4ag.org. Accessed: March 26, 2020Google Scholar
Kniss, AR, Wilson, RG, Martin, AR, Burgener, PA, Feuz, DM (2004) Economic evaluation of glyphosate-resistant and conventional sugar beet. Weed Technol 18:388396 CrossRefGoogle Scholar
Morishita, DW (2017) Impact of glyphosate-resistant sugar beet. Pest Manage Sci 74:10501053 CrossRefGoogle ScholarPubMed
R Core Team (2019). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. Accessed: September 18, 2019. https://www.R-project.org/ Google Scholar
Ritz, C, Baty, F, Streibig, JC, Gerhard, D (2015) Dose-response analysis using R. PLoS One 10:e0146021 CrossRefGoogle ScholarPubMed
Sauer, J (1957) Recent migration and evolution of the dioecious amaranths. Evolution 11:1131 CrossRefGoogle Scholar
Schultz, W, Lawrence, NC (2019) Palmer amaranth interference in sugarbeet. Page 16 in Proceedings of the Western Society of Weed Science. Denver, CO: Weed Science Society of AmericaGoogle Scholar
Schweizer, EE, Lauridson, TC (1985) Powell amaranth (Amaranthus powellii) interference in sugarbeet (Beta vulgaris). Weed Sci 33:518520 CrossRefGoogle Scholar
Soltani, N, Dille, JA, Burke, IC, Everman, WJ, VanGessel, MJ, Davis, VM, Sikkema, PH (2016) Potential corn yield losses from weeds in North America. Weed Technol 30:979984 CrossRefGoogle Scholar
Soltani, N, Dille, JA, Burke, IC, Everman, WJ, VanGessel, MJ, Davis, VM, Sikkema, PH (2017) Perspectives on potential soybean yield losses from weeds in North America. Weed Technol 31:148154 CrossRefGoogle Scholar
Soltani, N, Dille, JA, Robinson, DE, Sprague, CL, Morishita, DW, Lawrence, NC, Kniss, AR, Jha, P, Felix, J, Nurse, RE, Sikkema, PH (2018) Potential yield loss in sugarbeet due to weed interference in the United States and Canada. Weed Technol 32:749753 CrossRefGoogle Scholar
Starke, RJ, Renner, KA, Penner, D, Roggenbuck, FC (1996) Influence of adjuvants and desmedipham plus phenmedipham on velvetleaf (Abutilon theophrasti) and sugarbeet response to triflusulfuron. Weed Sci 44:489495 CrossRefGoogle Scholar
Stebbing, JA, Wilson, RG, Martin, AR, Smith, JA (2000) Row spacing, redroot pigweed (Amaranthus retroflexus) density, and sugarbeet (Beta vulgaris) cultivar effects on sugarbeet development. J Sugar Beet Res 37:1131 CrossRefGoogle Scholar
Steckel, LE, Sprague, CL, Stoller, EW, Wax, LM (2004) Temperature effects on germination of nine Amaranthus species. Weed Sci 52:217221 CrossRefGoogle Scholar
Vieira, BC, Samuelson, SL, Alves, GS, Gaines, TA, Werle, R, Kruger, GR (2017) Distribution of glyphosate-resistant Amaranthus spp. in Nebraska. Pest Manag Sci 74:23162324 CrossRefGoogle Scholar
Ward, SM, Webster, TM, Steckel, LE (2013) Palmer amaranth (Amaranthus palmeri): a review. Weed Technol 27:1227 CrossRefGoogle Scholar
Weinlaeder, RA, Dexter, AG (1972) Several factors influencing sugarbeet injury in the field and growth chamber. Page 33 in Proceedings of the North Central Weed Control Conference. Winnipeg, MB, Canada: Weed Science Society of AmericaGoogle Scholar
Wilson, RG (1999) Response of nine sugarbeet (Beta vulgaris) cultivars to postemergence herbicide applications. Weed Technol 13:2529 CrossRefGoogle Scholar
Wilson, RG, Yonts, CD, Smith, JA (2002) Influence of glyphosate and glufosinate on weed control and sugarbeet (Beta vlugaris) yield in herbicide-tolerant sugarbeet. Weed Technol 16:6673 CrossRefGoogle Scholar
Zimdahl, RL, Fertig, SN (1967) Influence of weed competition on sugar beets. Weeds 15:336339 CrossRefGoogle Scholar
Figure 0

Table 1. Parameter estimates and SEs of the two-parameter log-logistic model of survival of sugarbeet and Palmer amaranth treated at the cotyledon growth stage in a greenhouse experiment in 2019.

Figure 1

Table 2. Parameter estimates (b, d, and e) and SEs of the three-parameter log-logistic model for sugarbeet and Palmer amaranth biomass treated with desmedipham and phenmedipham at the cotyledon stage in a greenhouse experiment in 2019.

Figure 2

Figure 1. Survival of sugarbeet and Palmer amaranth treated at the cotyledon stage 2 wk after desmedipham and phenmedipham were applied alone or together. A two-parameter log-logistic model was used to determine the response. Horizontal error bars represent the SE of the e parameter (LD50).

Figure 3

Table 3. Parameter estimates and SEs of the two-parameter log-logistic model of survival of sugarbeet and Palmer amaranth treated at the two true-leaf stage and 7 cm height, respectively, in a greenhouse experiment in 2019.

Figure 4

Table 4. Parameter estimates (b, d, and e) and SEs of the three-parameter log-logistic model for sugarbeet and Palmer amaranth biomass treated with desmedipham and phenmedipham at the two true-leaf sugarbeet growth stage in a dose-response experiment in 2019.

Figure 5

Figure 2. Survival of sugarbeet at the two true-leaf stage and Palmer amaranth when 7 cm tall at 2 wk after desmedipham or phenmedipham were applied alone or together. A two-parameter log-logistic model was used to determine the response. Horizontal error bars represent the SE of the e parameter (LD50).

Figure 6

Figure 3. Palmer amaranth and sugarbeet, treated with desmedipham + phenmedipham at the cotyledon stage, 10 d after application. Plants are arranged starting with nontreated control at the left, moving to the right up to the 8× rate.

Figure 7

Figure 4. Palmer amaranth and sugarbeet, treated with desmedipham + phenmedipham when they were 7cm tall and at the two true-leaf stage, respectively, at 10 d after application. Plants are arranged starting with nontreated control at the left, moving to the right up to the 8× rate.