Hostname: page-component-586b7cd67f-l7hp2 Total loading time: 0 Render date: 2024-11-24T10:53:19.817Z Has data issue: false hasContentIssue false

Enlist™ corn tolerance to preemergence and postemergence applications of synthetic auxin and ACCase-inhibiting herbicides

Published online by Cambridge University Press:  24 April 2023

Amar S. Godar*
Affiliation:
Post Doctoral Fellow, Department of Crop, Soil, and Environmental Sciences, University of Arkansas, Fayetteville, AR, USA
Jason K. Norsworthy
Affiliation:
Distinguished Professor and Elms Farming Chair of Weed Science, Department of Crop, Soil, and Environmental Sciences, University of Arkansas, Fayetteville, AR, USA
Tom L. Barber
Affiliation:
Professor and Extension Weed Scientist, Cooperative Extension Service, Lonoke, AR, USA
*
Corresponding author: Amar S. Godar, Post Doctoral Fellow, Department of Crop, Soil, and Environmental Sciences, University of Arkansas- Fayetteville, 1354 W Altheimer Dr., Fayetteville, AR 72704 USA Email: [email protected]
Rights & Permissions [Opens in a new window]

Abstract

Allowing the use of two additional modes of action (MOAs), Enlist™ corn is a novelty in the continuum of herbicide-resistant crop development efforts that have occurred since the 1990s. Knowledge of Enlist corn tolerance to labeled herbicides and other herbicides within the same MOA for various use and/or exposure scenarios is not well established. Four site-year field experiments for preemergence (PRE) and postemergence (POST) applications were conducted at sites in Fayetteville (2021 and 2022) and Tillar (2020 and 2021), Arkansas, to evaluate Enlist corn response following PRE or POST applications of synthetic auxin herbicides or those that inhibit acetyl-CoA carboxylase (ACCase). A non-Enlist and an Enlist corn hybrid were used for each herbicide treatment to establish differential tolerance. Injury response to PRE application varied among site-years; clethodim was the only herbicide that occasionally caused significant (7% to 17%) injury to Enlist corn. None of the PRE treatments affected plant height, stand, or yield of Enlist corn; these responses were generally similar or better for Enlist corn compared to non-Enlist corn. Enlist corn showed significant injury to POST applications of florpyrauxifen-benzyl (>10%), fluazifop-P-butyl and quizalofop-P-ethyl (>5%), and clethodim and sethoxydim (>75%) 1 wk after application (WAA). These initial injury responses to clethodim and sethoxydim were generally reflected in Enlist corn yield; however, the minimal injury from fluazifop-P-butyl and quizalofop-P-ethyl did not affect yield. Injury to non-Enlist corn with POST-applied ACCase-inhibiting herbicides 2 WAA was >80%, resulting in a proportionate yield reduction. Even though florpyrauxifen-benzyl caused more initial injury to non-Enlist corn, yield reduction in non-Enlist corn was occasionally less than of Enlist corn, with both hybrids experiencing >75% yield reduction. In summary, Enlist corn may occasionally show transient injury even to labeled herbicides when applied POST, and even though the injury from florpyrauxifen-benzyl is initially mild, it nonetheless results in substantial yield loss.

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

Introduction

Enlist™ corn (Zea mays L.), which was recently introduced, has transgenes that confer resistance to herbicides from two modes of action (MOAs). This novel technology for weed management in corn is restricted to only one herbicide from each acetyl-CoA carboxylase (ACCase)–inhibitor and synthetic auxin MOA. Quizalofop-P-ethyl and 2,4-dichlorophenoxyacetic acid (2,4-D) are the only herbicides from these MOAs that are labeled for use on Enlist corn crops. This metabolism-based aryloxyalkanoate dioxygenase (AAD-1) trait in Enlist corn provides resistance to specific chemical classes of the herbicides: the aryloxyphenoxypropionate class of ACCase-inhibiting herbicides (also known as FOPs) and the phenoxycarboxylic class of synthetic auxins (Wright et al. Reference Wright, Shan, Walsh, Lira, Cui, Song, Zhuang, Arnold, Lin, Yau, Russell, Cicchillo, Peterson, Simpson, Zhou, Ponsamuel and Zhang2010). Enlist corn hybrids are typically stacked with glyphosate and/or glufosinate resistance traits. Coupled with the improved formulation of 2,4-D (choline salt) and the other stacked resistance traits, this technology offers highly efficacious weed management solutions in corn production systems compared to previously available technologies.

A wide array of weed management solutions are available for corn (Barber et al. Reference Barber, Boyd, Selden, Norsworthy, Burgos and Bertucci2022); however, management of volunteer corn within the crop can be challenging. With the widespread use of herbicide-resistant (HR) corn technology in the United States, there has been a concomitant increase in the presence of overwintered volunteer HR corn in rotated crops (Davis et al. Reference Davis, Marquardt and Johnson2008), raising management difficulties (Chahal and Jhala Reference Chahal and Jhala2015; Marquardt et al. Reference Marquardt, Terry, Krupke and Johnson2012). Successful use of both FOPs and cyclohexanedione (also known as DIMs) families of ACCase-inhibiting herbicides for managing volunteer HR corn in broadleaf crops, especially soybean [Glycine max (L.) Merr], has been extensively demonstrated (Alms et al. Reference Alms, Moechnig, Vos and Clay2016; Chahal and Jhala Reference Chahal and Jhala2015; Deen et al. Reference Deen, Hamill, Shropshire, Soltani and Sikkema2006; Kniss et al. Reference Kniss, Sbatella and Wilson2012). Recently developed by Corteva Agriscience and possessing transgenic resistance to FOP herbicides, Enlist corn allows the use of quizalofop-P-ethyl (a FOP herbicide) to control volunteer non-Enlist corn among Enlist corn plantings. This opportunity for selective in-season management of volunteer non-Enlist corn in corn is an unprecedented use for ACCase-inhibiting herbicides in the crop. The pro-herbicide quizalofop-P-ethyl passively penetrates corn cuticle tissue and is subsequently bioactivated to the active quizalofop-acid form by carboxyesterases (Cummins and Edwards Reference Cummins and Edwards2004; Haslam et al. Reference Haslam, Raveton, Cole, Pallett and Coleman2001). As conferred by the AAD-1 gene (TfdA homologs), its ability to rapidly metabolize absorbed quizalofop-P-ethyl (and other FOP herbicides) differentiates Enlist corn from non-Enlist corn.

AAD-1 in Enlist corn can simultaneously degrade 2,4-D. 2,4-D, the first selective, broad-spectrum broadleaf herbicide used in corn for more than seven decades, can cause corn injury (Ruen et al. Reference Ruen, Scherder, Ditmarsen, Prasifka, Ellis, Simpson, Gallup and Hopkins2017). Despite limited translocation of this systemic herbicide in corn and ability of the crop to metabolize (conjugate) 2,4-D (Fang and Butts Reference Fang and Butts1954; Montgomery et al. Reference Montgomery, Chang and Freed1971), only the commercially deployed AAD-1 trait provides robust resistance to 2,4-D in Enlist corn permitting higher 2,4-D use rates across a wider application window (Ruen et al. Reference Ruen, Scherder, Ditmarsen, Prasifka, Ellis, Simpson, Gallup and Hopkins2017; Wright et al. Reference Wright, Shan, Walsh, Lira, Cui, Song, Zhuang, Arnold, Lin, Yau, Russell, Cicchillo, Peterson, Simpson, Zhou, Ponsamuel and Zhang2010).

Several other ACCase-inhibiting and synthetic auxin herbicides, including some that were recently developed, are commonly used in cropping systems in the mid-South (Barber et al. Reference Barber, Boyd, Selden, Norsworthy, Burgos and Bertucci2022). Fluazifop-P-butyl (a FOP), clethodim, sethoxydim (DIMs), florpyrauxifen-benzyl, and halauxifen-methyl (arylpicolinates in the family of synthetic auxins) are used in cotton (Gossypium hirsutum L.), soybean, and/or rice (Oryza sativa L.) crops in the region. Enlist being the new corn HR trait and the first-ever commercialized HR trait conferring resistance to herbicides from synthetic auxins and ACCase-inhibiting MOAs must be assessed for its safety for prospective herbicide use or exposure scenarios. The objective of this research was to evaluate the response of Enlist corn in comparison with glyphosate-resistant (non-Enlist) corn to synthetic auxins and ACCase-inhibiting herbicides applied preemergence (PRE) and postemergence (POST) for potential implications for Enlist corn safety under normal and replanting situations, and volunteer corn control.

Materials and Methods

Experimental Setup

Four field experiments were conducted in Arkansas at two locations (sites) over 2 yr: Fayetteville (2021 and 2022) and Tillar (2020 and 2021). Soil type, herbicide application dates, cumulative precipitation, and general weather conditions (seasonal and following treatment applications) for each site-year are presented in Table 1 and Figure 1. The experiments were established as a two-factor (trait and herbicide) randomized complete block design with four replications. Corn hybrids (trait; Mycogen UNI 14D38 Enlist corn and 6252RIB non-Enlist corn in Fayetteville, and Mycogen UNI 14D38 or B10Z78SXE Enlist corn and Pioneer P1197YHR non-Enlist corn in Tillar) were planted 2.5 to 3 cm deep at a seeding rate of 69,160 to 86,450 seeds ha−1 with a 76- to 97-cm-wide row spacing, depending on location. Plot sizes were four rows wide and 9 m long.

Table 1. Site-year, soil type, herbicide application dates, cumulative precipitation, and weather conditions.a

a Abbreviations: AT, average temperature; CT, cumulative precipitation; POST, postemergence; PRE, preemergence.

b Corn planted on the same day.

c Cumulative of daily amount beginning April 1 through September 30.

d Represents the period of 15 d following application: cool, AT less than 15 C; moderate, AT 15 C to 22 C; warm, AT above 22 C; dry, CP for 15 d less than 5 cm; moist, CP 5 cm to 10 cm; wet,10 cm or more. Refer to Figure 1.

Figure 1. Daily cumulative precipitation and air temperature for the period of 15 d following (A) preemergence (PRE) and (B) postemergence (POST) applications at sites in Fayetteville and Tillar, Arkansas, in 2020, 2021 and/or 2022. In the lower panel, the upper boundary = maximum daily temperature, the lower boundary = minimum daily temperature, and the line = average daily temperature. The asterisk (*) indicates cumulative daily precipitation.

Except for florpyrauxifen-benzyl, each herbicide was applied at a single rate in both the PRE and POST application experiments (Table 2). Herbicides were applied to two center rows of corn in four-row plots at planting (PRE) or at the two- to three-leaf stage (POST). A nontreated control was included for each corn hybrid. Herbicide treatments were applied using a CO2-pressurized backpack sprayer calibrated to deliver 140 L ha−1 at 166 kPa fitted with AIXR 110015 flat-fan nozzles (TeeJet®; Spraying Systems Co., Wheaton, IL).

Table 2. Herbicide information.a

a Abbreviations: DIMs, cyclohexanedione herbicides; FOPs, aryloxyphenoxypropionate herbicides.

b All herbicides were applied with 1% vol/vol crop oil concentrate.

c Applied postemergence only.

d 1× rate.

e Applied at preemergence only.

f Drift warning from adjacent application and no residual activity.

At the Fayetteville location, weeds were controlled with application of glyphosate (Roundup PowerMAX®; Bayer CropScience LP, Research Triangle Park, NC) at 1,260 g ae ha−1 plus halosulfuron-methyl at 70 g ai ha−1 (Permit®; Gowan Company LLC, Yuma, AZ) to three-leaf corn followed by a premix of S-metolachlor + mesotrione + bicyclopyrone + atrazine at 1,500 + 166 + 41 + 700 g ai ha−1, respectively (Acuron®; Syngenta Crop Protection, LLC, Greensboro, NC) and glyphosate (Roundup PowerMAX®) at 1,260 g ae ha−1. At the Tillar location, atrazine at 2,240g ai ha−1 (Attrex®; Syngenta Crop Protection, LLC) plus glyphosate at 1,260 g ae ha−1 (Roundup PowerMAX®) were applied to the entire experimental area. Fertility and pest management were maintained throughout the experiment based on University of Arkansas System Division of Agriculture Cooperative Extension Service recommendations (Faske et al. Reference Faske, Supurlock, Cato, Smith, Urrea-Morawicki and Wamishe2022; Studebaker et al. Reference Studebaker, Bateman, Davis, Cato, Thrash, Lee, Loftin, Lorenz, Spradley, Joshi, Zawislak and Teague2022).

Data Collection

Visible injury (a composite assessment of chlorosis, necrosis, and stunting) was rated at 3 and 5 wk after application (WAA) for the PRE treatments, and 1 and 2 WAA for the POST treatments. Visible injury ratings were based on a scale of 0% (no injury, nontreated control) to 100% (complete plant death). Plant height (four random plants per plot) was measured at the Tillar location for both PRE and POST experiments, and plant stand was measured at the Fayetteville location for PRE experiments. Two center rows of corn were harvested (except for Tillar 2021) at crop maturity using a plot combine, and grain yield was adjusted to 15% moisture. Corn was accidentally harvested by the farmer at the Tillar location in 2021. Plant height, stand, and yield data were converted to a percentage of respective traits’ nontreated control.

Statistical Analysis

Statistical analysis was performed using R statistical software version 4.2.2 (R Core Team 2022) using the glmmTMB package (function glmmTMB; Brooks et al. Reference Brooks, Kristensen, van Benthem, Magnusson, Berg, Nielsen, Skaug, Mächler and Bolker2017). Herbicide-by-trait-by-site interactions were evaluated for all combinations of sites, and if they were nonsignificant, data were pooled for subsequent analysis. In the models, the interaction of herbicide and trait was considered a fixed effect, and block was a random effect.

Corn injury, plant height, plant stand, and yield data were fit to generalized linear mixed-effect models using the glmmTMB function with gaussian (link = “identity”) error distributions (Stroup Reference Stroup2015). Additionally, the model for yield data for the POST application was fitted with zero-inflation error distribution. Selection for final glmmTMB models was based on Akaike information criterion values and/or restricted maximum likelihood criterion at convergence.

The ANOVA was performed using the car package (Fox and Weisberg Reference Fox and Weisberg2019). For glmmTMB models, ANOVA was conducted with Type III Wald chi-square tests. After conducting ANOVA, treatment estimated marginal means (Searle et al. Reference Searle, Speed and Milliken1980) were separated using the emmeans package (Lenth Reference Lenth2022) and multcomp package (Hothorn et al. Reference Hothorn, Bretz and Westfall2008). Estimated marginal means included post hoc Tukey P-value adjustments and Sidak method confidence-level adjustments, with compact letter display generated via the multcomp:cld function.

Results and Discussion

Enlist Corn Response to PRE Application

Corn planting for the Fayetteville site in 2021 occurred earlier than the other site-years (Table 1). Corn planting in Arkansas begins the first week of April, and most planting is completed by the third week of May (USDA-NASS 2022). The weather conditions (temperature and/or precipitation) following application, particularly for PRE application, varied among the sites (Figure 1), which may have caused some variability in corn response to the herbicide treatments. The potential attribution of corn response to weather conditions is discussed as needed.

Injury

Corn injury at 3 WAA with PRE treatments varied among sites resulting in herbicide-by-trait-by-site interactions (P < 0.001). Effects of herbicide, trait, and their interaction were significant for three sites, but not Tillar 2020 (Figure 2A). At the Fayetteville site in 2021, only clethodim caused injury to Enlist corn (5%; Figure 2A1), and the level of injury was similar for non-Enlist corn. A similar level of injury with clethodim was observed at the Fayetteville site in 2022 (Figure 2A2). In addition to clethodim, halauxifen-methyl and sethoxydim caused injury (>5%) at the Fayetteville location in 2022, and the level of injury was similar for non-Enlist corn with these herbicides; but injury from these herbicides was not present at Tillar sites (Figure 2A3; data not shown for Tillar 2020). While Enlist corn did not show any injury with 2,4-D, fluazifop-P-butyl, or quizalofop-P-ethyl at any sites, injury to non-Enlist corn was frequently pronounced and ranged from 5% to 20% and was usually greater with fluazifop-P-butyl.

Figure 2. Injury response of Enlist corn to preemergence (PRE) application of synthetic auxin and ACCase-inhibiting herbicides (A) 3 wk after application (WAA) (B) 5 WAA at the Fayetteville site (2021 and 2022), and at the Tillar site (2021) in Arkansas. Injury is expressed as a percent of nontreated corn (0% = no injury, 100% = plant death). ANOVA output of a generalized linear mixed model (herbicide and trait as fixed factors, and block as random factor) are shown at the top left corner of each plot. Means with the same letter within a plot are not significantly different (P < 0.05 using Tukey’s honestly significant difference test). Herb. Indicates herbicide; NS indicates nonsignificant.

By 5 WAA, non-Enlist corn injury across sites was generally more pronounced with most herbicides that had caused injury at 3 WAA (Figure 2A and B). With interaction of trait-by-time of evaluation being significant (P < 0.001), averaged across herbicides and sites, injury to Enlist corn remained similar, whereas injury to non-Enlist corn increased by three percentage points at 5 WAA from injury at 3 WAA (P < 0.05). Enlist corn at the Fayetteville location showed >15% injury with clethodim and at least 10% injury with sethoxydim in 2021 (Figure 2B1), whereas corn had recovered from all initial injuries by 5 WAA in 2022 (Figure 2B2). For all herbicides at the Tillar location in 2020, injury was typically nonsignificant at 5 WAA, like the results at 3 WAA (data not shown); nevertheless, >5% injury was visible with quizalofop-P-ethyl or clethodim for Enlist corn in 2021 (Figure 2B3).

The discrepancies in corn injury response to these PRE-applied herbicides at different sites is likely the result of weather conditions following the applications (Figure 1). Precipitation, soil moisture, and temperature may explain the variations observed considering the resistance mechanism is metabolism-based and PRE-applied herbicides need to be activated. Soil moisture content has long been known to affect herbicide partitioning into adsorbed and solution phases (Green and Obien Reference Green and Obien1969) and to modulate herbicide transport within the soil-plant system, resulting in differential phytotoxicity (Walker 1971). While the effect of soil moisture varies from herbicide to herbicide (Ferreira et al. Reference Ferreira, Ferguson, Reynolds, Kruger and Irby2021), the pronounced injury at 5 WAA in 2021 at the Fayetteville location with clethodim may be attributed to moist, cool conditions following herbicide application (Figures 1 and 2B1). A high amount of rainfall that coincided with the crop emergence time at the Fayetteville site in 2022 may have contributed to overall greater injury 3 WAA. In contrast, relatively dry conditions at the Tillar location in 2020 likely safeguarded emerging corn plants from exposure to herbicides in the soil solution (Figure 1).

Plant Height and Stand

Plant height (at 6 WAA) and stand (at 5 WAA) were recorded at Tillar and Fayetteville sites, respectively (Figure 3). For height data, there was three-way interaction of herbicide-by-trait-by-year (P < 0.001). The effect of herbicide or its interaction with trait was not significant in 2020, however, the effect of trait was still significant, with halauxifen-methyl causing 10% height reduction of non-Enlist corn and with overall (across herbicides) greater height of Enlist corn compared to non-Enlist corn (P < 0.001; Figure 3A). In 2021, the herbicide treatments or their interaction with trait was significant, with fluazifop-P-butyl resulting in >10% height reduction of non-Enlist corn (Figure 3B).

Figure 3. (A and B) Plant height 6 wk after application (WAA) and (C) plant stand 5 WAA of Enlist corn as affected by preemergence (PRE) application of synthetic auxin and ACCase-inhibiting herbicides at the Fayetteville site (2021), or the Tillar site (2020 and 2021) in Arkansas. Height and stand are expressed as a percent of the nontreated control (100% = height or stand of nontreated control). ANOVA output of a generalized linear mixed model (herbicide and trait as fixed factors, and block as random factor) are shown at the bottom left corner of each plot. Means with the same letter within a plot are not significantly different (P < 0.05 using Tukey’s honestly significant difference test). Herb. indicates herbicide; NS indicates nonsignificant.

Similarly for plant stand at the Fayetteville location, herbicide-by-trait-by-year interaction was significant (P < 0.001). Effects of herbicide, trait, and their interaction were significant in 2021 (Figure 3C), whereas none of the effects were significant in 2022 (data not shown). In 2021, herbicide treatments caused a 4% reduction in non-Enlist corn stands on average, compared to the nontreated control. However, clethodim resulted in a significant (10% to 12%) stand reduction of Enlist corn compared to FOP herbicides or the nontreated control.

Yield

Because herbicide-by-trait-by-site interaction did not occur for the Fayetteville (2022) and Tillar (2020) yields (P > 0.05), data were pooled and analyzed separately from Fayetteville (2021) data. Yield data for Tillar (2021) were not collected. Averaged over two sites (Fayetteville 2022 and Tillar 2020), no Enlist treatments resulted in any yield reduction. With the absence of herbicide-by-trait interaction (P = 0.476), Enlist corn produced 8% greater yield, on average, compared to non-Enlist corn (P = 0.039; Figure 4A). While yields were similar across non-Enlist treatments, grain yield following application of halauxifen-benzyl was 19% less for non-Enlist corn compared to the same treatment on Enlist corn (data not shown). These yield results generally corroborate well with the Fayetteville (2022) injury data (Figure 2B). Yield results from Tillar (2020) did not interact with yield results from Fayetteville (2022), despite the differentiated injury response between the two sites. The Tillar site received much less precipitation for an extended period following the herbicide application (Figure 1). The herbicide-by-trait interaction was the only significant effect for Fayetteville (2021) yield, and clethodim on non-Enlist corn was the only treatment that caused yield loss (>30%; Figure 4B). Despite some injury with clethodim and sethoxydim at 5 WAA (Figure 2B1), Enlist corn produced similar yields across herbicide treatments.

Figure 4. Yield of Enlist corn as affected by preemergence (PRE) application of synthetic auxin and ACCase-inhibiting herbicides at (A) the Fayetteville site (2022) and the Tillar site (2020), and (B) at the Fayetteville site (2021) in Arkansas. Yield is expressed as a percent of the nontreated control. ANOVA output of a generalized linear mixed model (herbicide and trait as fixed factors, and block as random factor) are shown at the bottom left corner of each plot. Means with the same letter within each plot are not significantly different (P < 0.05 using Tukey’s honestly significant difference test). Herb. indicates herbicide; NS indicates nonsignificant.

Weather conditions following the PRE application varied among the sites. Corn planting dates for the central United States are approximately 2 wk earlier than they were in the 1980s (Kucharik Reference Kucharik2006), and in Arkansas, corn planting begins as early as April and concludes by the end of May (USDA-NASS 2022). Hence, corn at all sites was planted within the normal range. Daily air temperature following planting/herbicides application was low at the Fayetteville site in 2021. Greater injury observed with clethodim on both Enlist and non-Enlist hybrids may be attributed to cooler temperature because it can impede metabolism and sequestration of herbicides (Ghanizadeh and Harrington Reference Ghanizadeh and Harrington2017; Kudsk and Kristensen Reference Kudsk and Kristensen1992). For example, Robinson et al. (Reference Robinson, Letarte, Cowbrough, Sikkema and Tardif2015) reported that cooler temperatures caused crop injury to winter wheat (Triticum aestivum L.) after the application of 2,4-D alone or in combination with dichlorprop, as well as a mixture of dicamba, MCPA, and mecoprop. Additionally, cloudy days following application may have exposed clethodim to photodegradation to a lesser extent, allowing a significant proportion of herbicide to penetrate the soil. Kinetic data on photodegradation suggest that clethodim and sethoxydim are subject to rapid degradation after their application in the field (Sandín-España et al. Reference Sandín-España, Sevilla-Morán, López-Goti, Mateo-Miranda and Alonso-Prados2015). Clethodim is very potent at a low rate, and if it is absorbed into grass plants, it shows a rapid photodegradation with half-lives from 19.3 min to 1.4 h in an aqueous environment (Villaverde et al. Reference Villaverde, Sevilla-Morán, López-Goti, Calvo, Alonso-Prados and Sandín-España2018). Like other DIM herbicides, clethodim is water-soluble and poorly adsorbed in soil (EFSA 2011). Thus, the role of photodegradation rate on the soil surface before its diffusion into the soil system in the phytotoxicity of PRE-applied clethodim cannot be ignored.

Besides occasional injury from PRE-applied DIM family of ACCase-inhibiting herbicides, Enlist corn height, stand, and yield were not affected by any of the herbicides from the two MOAs used in this study. Non-Enlist corn usually showed a similar response as Enlist corn, with instances of discrepancies such as reduced plant height with halauxifen-benzyl or fluazifop-P-butyl and reduced yield with clethodim. There is no or little published information regarding the response of Enlist corn, particularly to PRE-applied ACCase-inhibiting herbicides. In one study in Tennessee, Steckel et al. (Reference Steckel, Thompson and Hayes2009) reported no injury from clethodim applied at 50 g ai ha−1 at 2 d after planting of replanted corn. The clethodim was applied at a much higher rate in this study (136 g ai ha−1). Upon application to soil, several chemical characteristics of a herbicide such as solubility, soil organic carbon-water partitioning coefficient (Koc), and half-life determine its potency to cause phytotoxicity, which is beyond the scope of this research and is not discussed further. Given the fact that results were not completely confirming among the sites, as well as the absence or presence of only a thin range of discrepancies between hybrids with or without the AAD-1 enzyme, it is difficult to conclude whether Enlist corn is any better than non-Enlist corn across environments in terms of its sensitivity to PRE-applied nonlabeled herbicides evaluated in this study. However, for the labeled herbicides, Enlist corn invariably showed no significant injury in contrast to non-Enlist corn, which showed frequent injury, especially with the FOP herbicides. This indicates that the AAD-1 enzyme and the degradation mechanism in Enlist corn are operative early in the growth stage.

Enlist Corn Response to POST Application

Injury

Corn injury data for POST applications were pooled across four sites for subsequent analysis because there was no herbicide-by-trait-by-site interaction (P > 0.05). For both the evaluation timings, all effects of herbicide, trait, and their interaction were significant (Figure 5). At 1 WAA, all the Enlist and non-Enlist POST treatments caused 5% or more crop injury, with clethodim and sethoxydim resulting in >65% injury (Figure 5A). The highly differentiated responses between Enlist and non-Enlist corn hybrids were observed with fluazifop-P-butyl or quizalofop-P-ethyl (>5% vs. >75%, respectively). Averaged across presence or absence of the AAD-1 trait, injury to corn from florpyrauxifen-benzyl was at least 25% for the 1× rate and >40% for the 2× rate. Despite instances of injury in some plots, Enlist corn did not exhibit injury with 2,4-D. Conversely, non-Enlist corn showed variable injury, ranging from no injury to 30% injury. At 2 WAA, Enlist corn had slightly recovered from the initial injury caused by all herbicides, except for clethodim (Figure 5B). Non-Enlist corn generally maintained a similar level of injury from synthetic auxin treatments, whereas injury with fluazifop-P-butyl, quizalofop-P-ethyl, or clethodim was more pronounced (>90% injury). Non-Enlist corn injury was greater than that of Enlist corn at both florpyrauxifen-benzyl rates (averaged across rates, 22% vs. 38% injury, respectively). Corn injury from sethoxydim was not as severe as from clethodim, especially in non-Enlist corn.

Figure 5. Injury response of Enlist corn to postemergence (POST) application of synthetic auxin and ACCase-inhibiting herbicides (A) 1 wk after application (WAA) and (B) 2 WAA. Data were pooled for four site-year experiments: Fayetteville (2021 and 2022) and Tillar (2020 and 2021) in Arkansas. Injury is expressed as a percent of the nontreated (0% = no injury, 100% = plant death). ANOVA output of a generalized linear mixed model (herbicide and trait as fixed factors, and block as random factor) are shown at the top left corner of each plot. Means with the same letter within a plot are not significantly different (P < 0.05 using Tukey’s honestly significant difference test). 11× rate; 22× rate. Herb. indicates herbicide.

Plant Height

Corn height data for the Tillar 2020 and 2021 site-years were analyzed separately because they were recorded at different time points relative to the application time (Figure 6). Effects of herbicide, trait presence, and their interaction were significant in 2020 (Figure 6A). All herbicides applied to Enlist corn, except for 2,4-D and quizalofop-P-ethyl, reduced plant height by at least 10%, with clethodim and sethoxydim causing a >80% reduction. Height reduction for non-Enlist corn was overall greater (P < 0.001), but not significant compared to Enlist corn, except when fluazifop-P-butyl and quizalofop-P-ethyl were applied. Similar differentiation between the presence or absence of the AAD-1 trait was observed in 2021, with effects of herbicide, trait, and their interaction being significant (Figure 6B). Evaluated 1 wk earlier than in 2020, injury was, in general, greater for synthetic auxins and less for ACCase-inhibitors in 2021 compared to the injury levels in 2020.

Figure 6. Height of Enlist corn as affected by postemergence (POST) application of synthetic auxin and ACCase-inhibiting herbicides at the Tillar location in Arkansas in (A) 2020, 3 wk after application (WAA) and (B) 2021, 2 WAA. Height is expressed as a percent of the nontreated control (100 = height of nontreated control). ANOVA output of a generalized linear mixed model (herbicide and trait as fixed factors, and block as random factor) are shown at the bottom left corner of each plot. Means with the same letter within a plot are not significantly different (P < 0.05 using Tukey’s honestly significant difference test). 11× rate; 22× rate. Herb. indicates herbicide.

Yield

Fayetteville yield data for 2 yr were pooled and analyzed separately from Tillar (2020) data since herbicide-by-trait-by-site interaction did not occur for those 2 yr (P > 0.05; Figure 7). Effects of herbicide, trait, and their interaction were significant for both Fayetteville and Tillar yields (Figure 7A and B). At the Fayetteville location, except for 2,4-D, fluazifop-P-butyl, or quizalofop-P-ethyl, all other herbicides reduced grain yield of Enlist corn, ranging from >75% with florpyrauxifen-benzyl to >95% with clethodim or sethoxydim. For Enlist corn, similar yield reductions with all the herbicides occurred, with additional yield loss (complete loss) from fluazifop-P-butyl and quizalofop-P-ethyl. Although the non-Enlist corn yield with 2,4-D was similar to the mean yield of Enlist corn for the same herbicide (i.e., 100%), the non-Enlist corn yield with 2,4-D was <100% (null hypothesis against 100, P = 0.03). Yield results were generally similar for Tillar, except for florpyrauxifen-benzyl and sethoxydim. With a 1× rate of florpyrauxifen-benzyl, the grain yield of Enlist corn was <75% of the nontreated, whereas it was at least half of the nontreated for non-Enlist corn. Sethoxydim did not result in a complete yield loss of non-Enlist corn.

Figure 7. Yield of Enlist corn as affected by postemergence (POST) application of synthetic auxin and ACCase-inhibiting herbicides at (A) the Fayetteville site (2021 and 2022) and (B) the Tillar site (2022) in Arkansas. Yield is expressed as a percent of the nontreated control. ANOVA output of a generalized linear mixed model (herbicide and trait as fixed factors, and block as random factor) are shown at the right side of each plot. Means with the same letter within each plot are not significantly different (P < 0.05 using Tukey’s honestly significant difference test). 11× rate; 22× rate. Herb. indicates herbicide.

Injury response to the POST applications of herbicides was consistent among the sites. Neither 2,4-D nor FOP herbicides caused significant injury to Enlist corn when applied POST. Injury development with DIM herbicides was rapid in Enlist corn and was generally similar to that of non-Enlist corn, implying that DIM herbicides can be successfully used to control volunteer corn. Corn with the AAD-1 trait and conventional corn are both susceptible to DIM herbicides; indeed, their relative susceptibilities are expected to be similar, albeit not well established. This has significant ramifications for managing volunteer corn.

The initial development of corn injury with florpyrauxifen-benzyl was moderate and persisted through the final evaluation point (i.e., 6 WAA) according to the rate applied, with non-Enlist corn generally exhibiting greater injury compared to Enlist corn (data not shown). Plant height measurements generally corroborated well with the injury assessments, indicating that the injury was at least partially comprised of crop stunting. At the Tillar location in 2020, corn responded differently to florpyrauxifen-benzyl than at other sites, resulting in a herbicide-by-trait-by-site interaction that was otherwise fairly consistent. In contrast to the greater injury or height reduction of non-Enlist corn 2 wk following application of florpyrauxifen-benzyl, grain yield at this site was greater for non-Enlist corn compared to Enlist corn. This result is noteworthy since the potential use of this rice herbicide, albeit at lower rates, is being evaluated in corn by our research group.

POST-applied FOP herbicides had no effect on Enlist corn yield, whereas DIM herbicides reduced yield by at least 90% in both hybrids. Similar results have been shown with respect to volunteer Enlist corn control from earlier field studies in Ontario (Soltani et al. Reference Soltani, Shropshire and Sikkema2015), and Nebraska (Striegel et al. Reference Striegel, Lawrence, Knezevic, Krumm, Hein and Jhala2020). The use rates of most herbicides in these studies were lower than rates used in this study. Crop yield was similar between Enlist and non-Enlist corn with the applied rate of 2,4-D choline; however, Enlist corn is expected to tolerate much higher than the labeled rate of 2,4-D than non-Enlist corn (Ruen et al. Reference Ruen, Scherder, Ditmarsen, Prasifka, Ellis, Simpson, Gallup and Hopkins2017), whereas non-Enlist corn would be at risk of developing typical synthetic auxin injury with the labeled rate (Wright et al. Reference Wright, Shan, Walsh, Lira, Cui, Song, Zhuang, Arnold, Lin, Yau, Russell, Cicchillo, Peterson, Simpson, Zhou, Ponsamuel and Zhang2010).

Practical Implications

With direct comparisons to non-Enlist corn, this two-site, 2-yr field study evaluated Enlist corn response to both PRE- and POST-applied synthetic auxin and ACCase-inhibiting herbicides that are relevant in mid-southern crop production systems. Results from this study indicate that transient injury is possible for Enlist corn even from those labeled herbicides, particularly when applied POST. Florpyrauxifen-benzyl, which is structurally different from 2,4-D and has a distinct site of action, initially caused a mild injury (typically <50%) but resulted in serious yield loss in both Enlist and non-Enlist corn, with instances of greater yield loss in Enlist corn than in non-Enlist corn. These results provide baseline information on outcomes from the prospective, both intended and accidental, exposure of Enlist corn to commonly used synthetic auxins and ACCase-inhibiting herbicides in mid-South agriculture. The findings of this study can be used to guide future research and provide recommendations to growers.

Acknowledgments

This publication is a contribution of the University of Arkansas System Division of Agriculture. We thank the Arkansas Corn and Grain Sorghum Promotion Board for providing funding for this research.

Footnotes

Associate Editor: William Johnson, Purdue University

References

Alms, J, Moechnig, M, Vos, D, Clay, S (2016) Yield loss and management of volunteer corn in soybean. Weed Technol 30:254262 CrossRefGoogle Scholar
Barber, LT, Boyd, JW, Selden, G, Norsworthy, JK, Burgos, NR, Bertucci, M (2022) MP44 2022, Recommended chemicals for weed and brush control. Little Rock: University of Arkansas System Division of Agriculture, Research and Extension. 198 pGoogle Scholar
Brooks, ME, Kristensen, K, van Benthem, KJ, Magnusson, A, Berg, CW, Nielsen, A, Skaug, HJ, Mächler, M, Bolker, BM (2017) glmmTMB balances speed and flexibility among packages for zero-inflated generalized linear mixed modeling. R J 9:378400 CrossRefGoogle Scholar
Chahal, PS, Jhala, AJ (2015) Herbicide programs for control of glyphosate-resistant volunteer corn in glufosinate-resistant soybean. Weed Technol 29:431443 CrossRefGoogle Scholar
Cummins, I, Edwards, R (2004) Purification and cloning of an esterase from the weed black-grass (Alopecurus myosuroides), which bioactivates aryloxyphenoxypropionate herbicides. Plant J 39:894904 CrossRefGoogle ScholarPubMed
Davis, VM, Marquardt, PT, Johnson, WG (2008) Volunteer corn in northern Indiana soybean correlates to glyphosate-resistant corn adoption. Crop Manag. doi:10.1094/CM-2008-0721-01-BRCrossRefGoogle Scholar
Deen, W, Hamill, A, Shropshire, C, Soltani, N, Sikkema, P (2006) Control of volunteer glyphosate-resistant corn (Zea mays) in glyphosate-resistant soybean (Glycine max). Weed Technol 20:261266 CrossRefGoogle Scholar
EFSA [European Food Safety Authority] (2011) Conclusion on the peer review of the pesticide risk assessment of the active substance clethodim. EFSA J 9:2417 CrossRefGoogle Scholar
Fang, SC, Butts, JS (1954) Studies in plant metabolism. III. Absorption, translocation and metabolism of radioactive 2,4-D in corn and wheat plants. Plant Physiol 29:5660 CrossRefGoogle ScholarPubMed
Faske, T, Supurlock, T, Cato, A, Smith, S, Urrea-Morawicki, K, Wamishe, Y (2022) MP154, Arkansas plant disease control products guide. Little Rock: University of Arkansas System Division of Agriculture, Research and Extension. 158 pGoogle Scholar
Ferreira, PH, Ferguson, JC, Reynolds, DB, Kruger, GR, Irby, JT (2021) Crop residue and rainfall timing effect on pre-emergence herbicides efficacy using different spray nozzle types. Int J Pest Manag doi:10.1080/09670874.2021.1953188CrossRefGoogle Scholar
Fox, J, Weisberg, S (2019) An R companion to applied regression, third ed. Thousand Oaks CA: Sage. https://socialsciences.mcmaster.ca/jfox/Books/Companion/. Accessed: December 12, 2022Google Scholar
Ghanizadeh, H, Harrington, KC (2017) Non-target site mechanisms of resistance to herbicides. Crit Rev Plant Sci 36:2434 CrossRefGoogle Scholar
Green, R, Obien, S (1969) Herbicide equilibrium in soils in relation to soil water content. Weed Sci 17:514519 CrossRefGoogle Scholar
Haslam, R, Raveton, M, Cole, DJ, Pallett, KE, Coleman, JOD (2001) The identification and properties of apoplastic carboxylesterases from wheat that catalyse deesterification of herbicides. Pestic Biochem Phys 71:178189 CrossRefGoogle Scholar
Hothorn, T, Bretz, F, Westfall, P (2008) multcomp: Simultaneous inference in general parametric models. https://CRAN.R-project.org/package=multcomp. Accessed: December 12, 2022Google Scholar
Kniss, A, Sbatella, G, Wilson, R (2012) Volunteer glyphosate-resistant corn interference and control in glyphosate-resistant sugarbeet. Weed Technol 26: 348355 CrossRefGoogle Scholar
Kucharik, CJ (2006) A multidecadal trend of earlier corn planting in the central USA. Agron J 98:15441550 CrossRefGoogle Scholar
Kudsk, P, Kristensen, JL (1992) Effect of environmental factors on herbicide performance. Pages 173–186 in Proceedings of the First International Weed Control Congress. Melbourne, Australia, February 17–21, 1992Google Scholar
Lenth, RV (2022) emmeans: Estimated marginal means, aka least-squares means. https://CRAN.R-project.org/package=emmeans. Accessed: December 12, 2022Google Scholar
Marquardt, P, Terry, R, Krupke, C, Johnson, W (2012) Competitive effects of volunteer corn on hybrid corn growth and yield. Weed Sci 60:537541 CrossRefGoogle Scholar
Montgomery, ML, Chang, YL, Freed, VH (1971) Comparative metabolism of 2,4-D by bean and corn plants. J Agric Food Chem 19:12191221 CrossRefGoogle ScholarPubMed
R Core Team (2022) R: A language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing. https://www.R-project.org/. Accessed: December 12, 2022Google Scholar
Robinson, MA, Letarte, J, Cowbrough, MJ, Sikkema, PH, Tardif, FJ (2015) Winter wheat (Triticum aestivum L.) response to herbicides as affected by application timing and temperature. Can J Plant Sci 95:325333 CrossRefGoogle Scholar
Ruen, D, Scherder, E, Ditmarsen, S, Prasifka, P, Ellis, J, Simpson, D, Gallup, P, Hopkins, B (2017) Tolerance of corn with glyphosate resistance and the aryloxyalkanoate dioxygenase trait (AAD-1) to 2,4-D choline and glyphosate. Weed Technol 31:217224 CrossRefGoogle Scholar
Sandín-España, P, Sevilla-Morán, B, López-Goti, C, Mateo-Miranda, MM, Alonso-Prados, JL (2015) Rapid photodegradation of clethodim and sethoxydim herbicides in soil and plant surface model systems. Arab J Chem 9:654703 Google Scholar
Searle, SR, Speed, FM, Milliken, GA (1980) Population marginal means in the linear model: An alternative to least squares means. Am Stat 34:216221 Google Scholar
Soltani, N, Shropshire, C, Sikkema, P (2015) Control of volunteer corn with the AAD-1 (aryloxyalkanoate dioxygenase-1) transgene in soybean. Weed Technol 29:374379 CrossRefGoogle Scholar
Steckel, LE, Thompson, MA, Hayes, RM (2009) Herbicide options for controlling glyphosate-tolerant corn in a corn replant situation. Weed Technol 23:243246 CrossRefGoogle Scholar
Striegel, A, Lawrence, N, Knezevic, S, Krumm, J, Hein, G, Jhala, A (2020) Control of glyphosate/glufosinate-resistant volunteer corn in corn resistant to aryloxyphenoxypropionates. Weed Technol 34:309317 CrossRefGoogle Scholar
Stroup, WW (2015) Rethinking the analysis of non-normal data in plant and soil science. Agron J 107:811827 CrossRefGoogle Scholar
Studebaker, G, Bateman, N, Davis, J, Cato, A, Thrash, B, Lee, J, Loftin, K, Lorenz, G, Spradley, P, Joshi, N, Zawislak, J, Teague, T (2022) MP144 2022, Insecticide recommendation for Arkansas. Little Rock: University of Arkansas System Division of Agriculture, Research and Extension. 332 pGoogle Scholar
USDA-NASS [U.S. Department of Agriculture–National Agricultural Statistics Service] (2022) Crop progress report. https://www.nass.usda.gov/. Accessed: December 15, 2022Google Scholar
Villaverde, JJ, Sevilla-Morán, B, López-Goti, C, Calvo, L, Alonso-Prados, JL, Sandín-España, P (2018) Photolysis of clethodim herbicide and a formulation in aquatic environments: Fate and ecotoxicity assessment of photoproducts by QSAR models. Sci Total Environ 615:643651 CrossRefGoogle Scholar
Walker A (1971) Effects of soil moisture content on the availability of soil-applied herbicides to plants. Pest Manag Sci 2:5659 CrossRefGoogle Scholar
Wright, TR, Shan, G, Walsh, TA, Lira, JM, Cui, C, Song, P, Zhuang, M, Arnold, NL. Lin, G, Yau, K, Russell, SM, Cicchillo, RM, Peterson, MA, Simpson, DM, Zhou, N, Ponsamuel, J, Zhang, Z (2010) Robust crop resistance to broadleaf and grass herbicides provided by aryloxyalkanoate dioxygenase transgenes. Proc Natl Acad Sci USA 107:2024020245 CrossRefGoogle ScholarPubMed
Figure 0

Table 1. Site-year, soil type, herbicide application dates, cumulative precipitation, and weather conditions.a

Figure 1

Figure 1. Daily cumulative precipitation and air temperature for the period of 15 d following (A) preemergence (PRE) and (B) postemergence (POST) applications at sites in Fayetteville and Tillar, Arkansas, in 2020, 2021 and/or 2022. In the lower panel, the upper boundary = maximum daily temperature, the lower boundary = minimum daily temperature, and the line = average daily temperature. The asterisk (*) indicates cumulative daily precipitation.

Figure 2

Table 2. Herbicide information.a

Figure 3

Figure 2. Injury response of Enlist corn to preemergence (PRE) application of synthetic auxin and ACCase-inhibiting herbicides (A) 3 wk after application (WAA) (B) 5 WAA at the Fayetteville site (2021 and 2022), and at the Tillar site (2021) in Arkansas. Injury is expressed as a percent of nontreated corn (0% = no injury, 100% = plant death). ANOVA output of a generalized linear mixed model (herbicide and trait as fixed factors, and block as random factor) are shown at the top left corner of each plot. Means with the same letter within a plot are not significantly different (P < 0.05 using Tukey’s honestly significant difference test). Herb. Indicates herbicide; NS indicates nonsignificant.

Figure 4

Figure 3. (A and B) Plant height 6 wk after application (WAA) and (C) plant stand 5 WAA of Enlist corn as affected by preemergence (PRE) application of synthetic auxin and ACCase-inhibiting herbicides at the Fayetteville site (2021), or the Tillar site (2020 and 2021) in Arkansas. Height and stand are expressed as a percent of the nontreated control (100% = height or stand of nontreated control). ANOVA output of a generalized linear mixed model (herbicide and trait as fixed factors, and block as random factor) are shown at the bottom left corner of each plot. Means with the same letter within a plot are not significantly different (P < 0.05 using Tukey’s honestly significant difference test). Herb. indicates herbicide; NS indicates nonsignificant.

Figure 5

Figure 4. Yield of Enlist corn as affected by preemergence (PRE) application of synthetic auxin and ACCase-inhibiting herbicides at (A) the Fayetteville site (2022) and the Tillar site (2020), and (B) at the Fayetteville site (2021) in Arkansas. Yield is expressed as a percent of the nontreated control. ANOVA output of a generalized linear mixed model (herbicide and trait as fixed factors, and block as random factor) are shown at the bottom left corner of each plot. Means with the same letter within each plot are not significantly different (P < 0.05 using Tukey’s honestly significant difference test). Herb. indicates herbicide; NS indicates nonsignificant.

Figure 6

Figure 5. Injury response of Enlist corn to postemergence (POST) application of synthetic auxin and ACCase-inhibiting herbicides (A) 1 wk after application (WAA) and (B) 2 WAA. Data were pooled for four site-year experiments: Fayetteville (2021 and 2022) and Tillar (2020 and 2021) in Arkansas. Injury is expressed as a percent of the nontreated (0% = no injury, 100% = plant death). ANOVA output of a generalized linear mixed model (herbicide and trait as fixed factors, and block as random factor) are shown at the top left corner of each plot. Means with the same letter within a plot are not significantly different (P < 0.05 using Tukey’s honestly significant difference test). 11× rate; 22× rate. Herb. indicates herbicide.

Figure 7

Figure 6. Height of Enlist corn as affected by postemergence (POST) application of synthetic auxin and ACCase-inhibiting herbicides at the Tillar location in Arkansas in (A) 2020, 3 wk after application (WAA) and (B) 2021, 2 WAA. Height is expressed as a percent of the nontreated control (100 = height of nontreated control). ANOVA output of a generalized linear mixed model (herbicide and trait as fixed factors, and block as random factor) are shown at the bottom left corner of each plot. Means with the same letter within a plot are not significantly different (P < 0.05 using Tukey’s honestly significant difference test). 11× rate; 22× rate. Herb. indicates herbicide.

Figure 8

Figure 7. Yield of Enlist corn as affected by postemergence (POST) application of synthetic auxin and ACCase-inhibiting herbicides at (A) the Fayetteville site (2021 and 2022) and (B) the Tillar site (2022) in Arkansas. Yield is expressed as a percent of the nontreated control. ANOVA output of a generalized linear mixed model (herbicide and trait as fixed factors, and block as random factor) are shown at the right side of each plot. Means with the same letter within each plot are not significantly different (P < 0.05 using Tukey’s honestly significant difference test). 11× rate; 22× rate. Herb. indicates herbicide.