Introduction
Johnsongrass was first utilized in the United States as a forage crop throughout the Southeast in the 1800s. Although the ability of johnsongrass to produce large quantities of biomass made it an excellent forage species, it also had characteristics of a persistent weed species (Mitch Reference Mitch1987). The inability to contain johnsongrass within forage production fields was first documented during the 1840s in the fertile river bottoms of Alabama (Miller Reference Miller2014; Mitch Reference Mitch1987). Johnsongrass is a spreading perennial grass known to produce large quantities of biomass and to spread rapidly through both rhizomes and seed production (McWhorter Reference McWhorter1971). Rhizome production is one of the main reasons johnsongrass is challenging to control. One johnsongrass plant can produce up to 5,000 rhizomes, potentially leading to new plants, making control of johnsongrass before rhizome production a vital approach (Horowitz Reference Horowitz1972; McWhorter Reference McWhorter1971). The adaptability of johnsongrass also makes it difficult to control. Johnsongrass can currently be found in almost every state in the United States and in many foreign countries, even though the climate does not fit the warm, dry conditions from which johnsongrass originated (Burt Reference Burt1974).
Since its introduction as a forage crop, johnsongrass control has been a significant issue for row crop producers across the Mid-South. Historically, johnsongrass control was achieved by soil incorporating dinitroaniline herbicides in-row cultivation, physical removal, and spot treatments with nonselective postemergence herbicides (McWhorter Reference McWhorter1989). In the 1980s, control methods were improved with the commercialization of multiple postemergence herbicides targeting the acetyl-CoA carboxylase (ACCase) and the acetolactate synthase enzymes (Bridges Reference Bridges1989; Camacho et al. Reference Camacho, Moshier, Morishita and Devlin1991; Foy and Witt Reference Foy and Witt1990; McWhorter Reference McWhorter1989; Obrigawitch et al. Reference Obrigawitch, Kenyon and Kuratle1990). While these herbicides successfully controlled johnsongrass in corn (Zea mays L.) and soybean [Glycine max (L.) Merr.], neither could be used in grain sorghum because of the close genetic similarities, resulting in a lack of selectivity.
Until recently, grain sorghum producers relied on methodologies that are more than 30 yr old to control johnsongrass in grain sorghum (Brown et al. Reference Brown, Chandler and Morrison1988; McWhorter and Hardwig Reference McWhorter and Hardwig1965; Smith and Scott Reference Smith and Scott2010). Tillage for johnsongrass control in grain sorghum is one of the first control methods producers utilize. Fall tillage brings rhizomes to the surface and exposes them to harsh winter weather, reducing infestations in the following year by 75% to 85% (McWhorter and Hardwig Reference McWhorter and Hardwig1965). In the 1970s, the introduction of glyphosate improved johnsongrass control for grain sorghum producers. Although glyphosate could not be applied postemergence in grain sorghum, producers could utilize the nonselective herbicide prior to crop emergence as a fall or preplant burndown. The addition of glyphosate as a fall burndown paired with a preplant burndown increased johnsongrass control in grain sorghum to greater than 90% (Brown et al. Reference Brown, Chandler and Morrison1988). In more recent years, some producers still utilize a glyphosate prior to planting for johnsongrass control in grain sorghum (Smith and Scott Reference Smith and Scott2010).
The introduction of a fluxofenim (Concep®, Syngenta, Greensboro, NC, USA) seed treatment allowed chloroacetamide herbicides like S-metolachlor to be applied preemergence for grass control, significantly advancing weed control in grain sorghum. S-metolachlor provides greater than 90% control of seedling johnsongrass while causing less than 5% injury to grain sorghum hybrids treated with fluxofenim (Ghosheh and Chandler Reference Ghosheh and Chandler1998; Wright et al. Reference Wright, Vanderlip, Regehr, Moshier and Russ1992). Although glyphosate and S-metolachlor have been successful for johnsongrass control in grain sorghum for many years, current herbicide resistance trends threaten the sustainability of these herbicides (Brabham et al. Reference Brabham, Norsworthy, Houston, Varanasi and Barber2019; Johnson et al. Reference Johnson, Norsworthy and Scott2014a, Reference Johnson, Norsworthy and Scott2014b; Meyer et al. Reference Meyer, Norsworthy, Stephenson, Bararpour, Landry and Woolam2015). Quinclorac and bromoxynil are postemergence herbicides labeled for postemergence grass control in grain sorghum, but neither provides effective johnsongrass control (Corbett et al. Reference Corbett, Askew, Thomas and Wilcut2004; Kering et al. Reference Kering, Huo, Interrante, Hancock and Butler2013). Paraquat is also labeled for in-season grass control in grain sorghum but must be applied postdirected, under hoods, to prevent significant crop injury. With the increasing number of herbicide-resistant weed populations and a lack of effective control options for johnsongrass and other grasses, grain sorghum producers need new tools that aid weed control.
Herbicide-resistant lines of grain sorghum have been researched and commercialized, adding new options for grass control in this crop (Pinkerton Reference Pinkerton2020). Specifically, the University of Arkansas System Division of Agriculture and Texas A&M AgriLife Research have worked collaboratively to develop a new line of grain sorghum, TamArk™, with known resistance to the ACCase inhibitor fluazifop. TamArk™ grain sorghum is also resistant to some other herbicides within the aryloxyphenoxypropionate family of ACCase inhibitors, including quizalofop (Piveta et al. Reference Piveta, Norsworthy and Bagavathiannan2020). TamArk™ is currently patented, and the trait is being crossed into different grain sorghum lines to possibly be available soon. Quizalofop is expected to be labeled for use on TamArk™ grain sorghum because the research has already been conducted on its effects; however, a label for fluazifop may also be in the future owing to the level of tolerance seen. ACCase inhibitors have been utilized for more than 30 yr to successfully control grass weeds in crops like cotton (Gossypium hirsutum L.) and soybean (Camacho et al. Reference Camacho, Moshier, Morishita and Devlin1991; Meyer et al. Reference Meyer, Norsworthy, Stephenson, Bararpour, Landry and Woolam2015; Minton et al. Reference Minton, Shaw and Kurtz1989).
Grain sorghum producers will benefit from the TamArk™ grain sorghum line by adding a new option to their toolbox to control problematic grasses. However, a knowledge gap exists on optimal application characteristics of fluazifop-butyl for achieving effective johnsongrass control. Therefore research was conducted to determine the rate, timing, and number of applications necessary to effectively control johnsongrass using fluazifop-butyl (Experiment I) and to determine the effect of application timing and rate on johnsongrass control in TamArk™ grain sorghum (Experiment II).
Materials and Methods
Experiment I: Effect of Fluazifop-butyl Rate, Timing, and Number of Applications on Johnsongrass
Experimental Setup
A trial was conducted in summer 2021 at the Lon Mann Cotton Research Station in Marianna, AR, on a Convent silt loam (coarse-silty, mixed, superactive, thermic Fluvaquentic Endoaquepts) consisting of 9% sand, 11% clay, and 80% silt, with an organic matter content of 1.9% and a pH of 6.3, and at the Northeast Research and Extension Center in Keiser, AR, on a Sharkey silty clay (very fine, smectitic, thermic Chromic Epiaquerts) consisting of 31% sand, 26% silt, and 43% clay, with an organic matter content of 1.9% and a pH of 6.7. These fields contained a natural infestation of johnsongrass, comprising both seedling and rhizomatous plants. These trials were conducted in the absence of a crop in plots 1.9 m wide × 4.8 m long. A single application of dicamba at 560 g ae ha−1 and hand weeding were used to control broadleaf weeds in the test. The trial did not receive any fertilization because no crop was present.
The experiment was set up as a three-factor, randomized complete block design with 13 treatments, including a nontreated control. Each treatment was replicated four times. Factors included johnsongrass size at the time of application (three levels: 2- to 3-leaf, 5- to 6-leaf, and 8- to 9-leaf or heading), fluazifop-butyl (Fusilade®, Syngenta) rates (two levels: 105 and 210 g ai ha−1), and number of applications (two levels: single and sequential [a total of two] applications). Plots receiving sequential applications were treated with the same rate, with 21 d between applications. Herbicides were applied using a CO2-pressurized backpack sprayer and a four-nozzle boom calibrated to deliver 140 L ha−1 at 6.4 kmph. Air induction extended range (AIXR) 110015 nozzles (TeeJet® Technologies, Springfield, IL, USA) were used for all applications. Boom height was 46 cm above the johnsongrass canopy.
Visible johnsongrass control was evaluated weekly after the initial herbicide application and continued for 4 wk after the final application. Evaluations were made on a scale of 0 to 100, where 0 represented no johnsongrass control and 100 represented complete johnsongrass control (Frans and Talbert Reference Frans and Talbert1986). Two 0.5-m2 quadrats were established in each plot, and initial johnsongrass densities were recorded. Twenty-eight days after final application (DAFA), the total number of live johnsongrass plants in each quadrat was recorded, and percentage mortality was calculated using the equation
$${{{\rm{Initial}}\;{\rm{johnsongrass}}\;{\rm{density}} - {\rm{Final}}\;{\rm{johsongrass}}\;{\rm{density}}} \over {{\rm{Initial}}\;{\rm{johsongrass}}\;{\rm{density}}}}\; \times \;100$$
Data Analysis
Data were analyzed using JMP® Pro 16.1 (SAS Institute Inc., Cary, NC, USA). A general regression with factorial to degree was utilized to determine the level of significance, with fixed factors being the rate, timing, and number of applications for 21 and 28 DAFA and percentage mortality. A factorial to degree was used to allow two-way interactions to be evaluated and to determine if the initial johnsongrass count as a covariate was significant. A covariate of initial count with the variable of percentage mortality was not significant (P = 0.79) and therefore was not considered in the analysis. Block was considered random to account for variance among replications. Visible control and percentage mortality were assumed to follow a beta distribution (Gbur et al. Reference Gbur, Stroup, McCarther, Durham, Young, Christman, West and Kramer2012). A three-factor factorial was constructed with the main effects of rate, timing, and application with their respective interactions in the proc glimmix model in SAS 9.4 (SAS Institute Inc.). Location was also considered a random effect. Means were separated using Fisher’s protected least significant difference (LSD) at α = 0.05 when four or fewer treatments were compared. When comparing treatments resulting from a three-way interaction, a Tukey’s honestly significant difference was used to separate means at α = 0.05.
Experiment II: Johnsongrass Control in TamArk™ Grain Sorghum Using Fluazifop-p-butyl
Experimental Setup
Field trials were also conducted in 2021 at the Lon Mann Cotton Research Station in Marianna, AR, on a Convent silt loam (coarse-silty, mixed, superactive, thermic Fluvaquentic Endoaquepts) consisting of 9% sand, 11% clay, and 80% silt, with an organic matter content of 1.9% and a pH of 6.3, and at the Arkansas Agricultural Research and Extension Center in Fayetteville, AR, on a Leaf silt loam (fine, mixed, active, thermic Typic Albaquults) with 20% sand, 58% silt, and 22% clay and a pH of 6.2. Each location consisted of a naturally occurring johnsongrass population with a mixture of seedling and rhizomatous plants.
TamArk™ grain sorghum was planted at both locations using a conventional John Deere planter with Almaco cone attachments, 1.2 cm deep, in conventionally tilled and raised beds at 154,000 seeds ha−1. Plots were 4.8 m long × 3.8 m wide with row spacing of 91 cm in Fayetteville and 4.8 m long × 3.9 m wide with row spacing of 96 cm in Marianna. A single application of dicamba at 560 g ae ha−1 and hand weeding were used to control broadleaf weeds in the test. In addition, the trial received split nitrogen applications, the first incorporated before planting and the second at the boot stage. In-furrow irrigation was provided on an as-need basis. All management practices, including fertilizer rates, followed the Arkansas grain sorghum production handbook (Espinoza Reference Espinoza2015).
The experimental design was a two-factor, randomized complete block design with eight treatments, including a nontreated and a weed-free check for comparison, each replicated four times. The factors consisted of TamArk™ grain sorghum size at application (two levels: 2- to 3- leaf or 5- to 6-leaf) and fluazifop-butyl rate (three levels: 140 g ai ha−1, 210 g ai ha−1, and 140 g ai ha−1 followed by [fb] 140 g ai ha−1 21 d later). Fluazifop-butyl was applied using CO2-pressurized backpack sprayers and a four-nozzle boom calibrated to deliver 140 L ha−1 at 6.4 kmph. AIXR 110015 nozzles (TeeJet® Technologies) were used for all applications. Boom height was 46 cm above the largest plant in the canopy. Each application was blocked on either side, and only the center two rows of each plot were treated to eliminate overlap and create a running check throughout the trial.
Two 0.5-m2 quadrats were established in each plot. The number of johnsongrass plants in each was recorded before initial application. At 28 DAFA, the total number of surviving johnsongrass plants was counted and used to calculate percentage mortality. In addition, the total number of johnsongrass panicles per quadrat was recorded, and panicles were removed before harvest. The seed was then harvested and counted to determine percentage seed reduction as influenced by the treatment. Visible crop injury was assessed weekly until 28 DAFA on a scale of 0 to 100, where 0 represented no visible crop injury and 100 represented complete crop death. The date to 50% heading was recorded for each plot and made relative to the nontreated plot within the block. Yield data could not be collected owing to significant yield loss caused by birds after seed development. Visible johnsongrass control was also evaluated on a scale of 0 to 100, where 0 represented no visible johnsongrass control and 100 indicated that none of the johnsongrass plants were alive (Frans and Talbert Reference Frans and Talbert1986).
Data Analysis
Because nontreated plots were rated as 0 for visible injury and control, data were made relative, and nontreated plots were excluded from the data analysis. Visible johnsongrass control, percentage mortality, and percentage johnsongrass seed reduction were assumed to follow a beta distribution, and grain sorghum injury was assumed to follow a gamma distribution by assessing the AICc values in the distribution function of JMP® Pro 16.1 (Gbur et al. Reference Gbur, Stroup, McCarther, Durham, Young, Christman, West and Kramer2012). The relative heading date was assumed to follow a normal distribution. A two-factor factorial statement was developed with the main effects of application rate and timing, including interactions using the proc glimmix model in SAS 9.4. Block and location were considered random effects. The treatment means for visible crop injury, johnsongrass control, percentage mortality, percentage seed reduction, and relative heading date were separated using the Fisher’s protected LSD (α = 0.05).
Results and Discussion
Experiment I: Effect of Fluazifop-butyl Rate, Timing, and Number of Applications on Johnsongrass
Control
Overall, no interactions were observed among the rate, timing, and number of applications when visible johnsongrass control was evaluated at 14, 21, and 28 DAFA (Table 1). Johnsongrass control increased 5 to 7 percentage points when fluazifop-butyl was applied at 210 g ai ha−1 compared to 105 g ai ha−1, resulting in at least 94% control at each rating averaged over timing and number of applications (Table 2). Even with an increase in control at the higher rate, it is important to recognize that at 21 and 28 DAFA, fluazifop-butyl at 105 g ai ha−1 resulted in greater than 90% johnsongrass control (Table 2). These findings are comparable to those of Rosales-Robles et al. (Reference Rosales-Robles, Chandler, Senseman and Prostko1999), where approximately 90% johnsongrass control was achieved with fluazifop-butyl at 105 g ai ha−1. For >95% johnsongrass control, a rate of 210 g ai ha−1 was needed (Table 2).
Visible johnsongrass control by fluazifop-butyl for two rates at 14, 21, and 28 d after final application, averaged over application stage, number of applications, and location. a, b
a Abbreviation: DAFA, days after final application.
b Means within a column followed by the same letter are not significantly different based on Fisher’s protected least significant difference (α = 0.05).
Johnsongrass control differed based on the growth stage at the initial application. Johnsongrass control was lower when the initial application was made to plants at the 8- to 9-leaf stage than at the 5- to 6-leaf stage, with a 9 percentage point difference in control between the smallest and largest plants at 28 DAFA (Table 3). Initial applications to 2- to 3-leaf johnsongrass resulted in control levels similar to those of 5- to 6-leaf plants at all evaluation timings, with greater than 90% control achieved. Likewise, Rosales-Robles et al. (Reference Rosales-Robles, Chandler, Senseman and Prostko1999) observed that fluazifop-butyl applications to johnsongrass at the 5- to 7-leaf stage resulted in greater than 90% control.
Visible estimates of johnsongrass control as influenced by growth stage at application at 14, 21, and 28 d after final application, averaged over application rate, type, and location. a , b
a Abbreviation: DAFA, days after final application.
b Means within a column followed by the same letter are not significantly different based on Fisher’s protected least significant difference (α = 0.05).
Sequential applications of fluazifop-butyl, regardless of fluazifop-butyl rate and johnsongrass size at the initial application, resulted in increased control compared to a single application at all three evaluations (Table 4). Sequential applications resulted in a 5, 4, and 10 percentage point increase in johnsongrass control at 14, 21, and 28 DAFA, respectively (Table 4). Winton-Daniels et al. (Reference Winton-Daniels, Frans and McClelland1990) reported that sequential applications of fluazifop-butyl at 140 g ai ha−1 resulted in greater than 85% johnsongrass control over a 3-yr period, which was higher than a single application of 280 g ai ha−1.
Visible estimates of johnsongrass control as influenced by number of applications at 14, 21, and 28 d after final application, averaged over application rate, stage, and location. a, b
a Abbreviation: DAFA, days after final application.
b Means within a column followed by the same letter are not significantly different based on Fisher’s protected least significant difference (α = 0.05).
c Sequential applications were made 21 d after the initial application.
Mortality
A significant three-way interaction of fluazifop-butyl rate by number of applications by johnsongrass size at initial application was observed for johnsongrass mortality 28 DAFA (P = 0.029) (Table 1). Three treatment combinations resulted in 99% johnsongrass mortality, with those being fluazifop-butyl at 105 g ai ha−1 applied sequentially beginning on 5- to 6-leaf johnsongrass and fluazifop-butyl at 210 g ai ha−1 applied sequentially beginning on 2- to 3-leaf or 5- to 6-leaf johnsongrass (Table 5). Single applications did provide greater than 95% johnsongrass mortality, but fluazifop-butyl at 210 g ai ha−1 applied once to 2- to 3-leaf or 5- to 6-leaf johnsongrass was not different from the three sequential treatments that reached 99% mortality (Table 5). The lowest levels of johnsongrass mortality resulted when a single application of fluazifop-butyl at 105 or 210 g ai ha−1 was made to 8- to 9-leaf johnsongrass, which did not result in greater than 66% mortality. Likewise, Bridges and Chandler (Reference Bridges and Chandler1987) observed reductions in fluazifop-butyl efficacy when applied to johnsongrass greater than 6-leaf. The authors have also evaluated sequential applications of fluazifop-butyl at 140 g ai ha−1 and reported 93% to 95% johnsongrass control when applications were made to plants having fewer than 6 leaves.
Percentage mortality of johnsongrass as influenced by application rate, type, and timing of fluazifop at 28 d after the final application, averaged over location. a, b
a Abbreviation: DAFA, days after final application.
b Means within a column followed by the same letter are not significantly different based on Fisher’s protected least significant difference (α = 0.05).
c Sequential applications were made 21 d after the initial application.
Experiment II: Johnsongrass Control Programs in TamArk™ Grain Sorghum
Johnsongrass Control and Mortality
No significant interactions between rate and application timing across all evaluation timings were observed (Table 6). The main effect of application timing was significant across all visible johnsongrass control ratings but was not significant for johnsongrass mortality (P = 0.1922). Fluazifop-butyl rate was significant for both visible johnsongrass control and mortality evaluations.
The application timings of 2- to 3-leaf and 5- to 6-leaf TamArk™ grain sorghum resulted in johnsongrass control and mortality greater than 90% when averaged across rate and location. A 5 to 7 percentage point increase in johnsongrass mortality occurred when fluazifop-butyl applications were made at the 2- to 3-leaf stage of grain sorghum compared to applications made at the 5- to 6-leaf stage (Table 7). Because application timings were based on grain sorghum growth stage, increased control was seen at earlier sorghum growth stages when johnsongrass was smaller. At the 2- to 3-leaf applications, johnsongrass plants within the treated plots ranged from 5 to 20 cm and had 2 to 5 leaves. Conversely, at the 5- to 6-leaf stage of grain sorghum, johnsongrass within the treated plots ranged from 10 to 70 cm with 4 to 9 leaves, which is above the size recommended for effective control (Anonymous 2019).
Visible estimates of johnsongrass control from fluazifop-butyl initially applied to 2- to 3-leaf and 5- to 6-leaf TamArk™ grain sorghum and rated 14, 21, and 28 d after final application and johnsongrass mortality and seed production, averaged over application rate and location. a, b
a Abbreviation: DAFA, days after final application.
b Means within a column followed by the same letter are not significantly different based on Fisher’s protected least significant difference (α = 0.05).
c Seed reduction is calculated relative to the nontreated.
The main effect of fluazifop-butyl rate was significant across all control ratings and mortality evaluations. A similar trend was seen in the noncrop study, where sequential applications of a lower fluazifop-butyl rate provided similar control levels as using a single application of a higher rate. For the in-crop study, fluazifop-butyl 210 g ai ha−1 provided control levels not different from sequential applications of 140 g ai ha−1 fb 140 g ai ha−1, except for the 21 DAFA evaluation. Furthermore, both rates controlled johnsongrass greater than 90% across all evaluation timings (Table 8). Single applications of fluazifop-butyl at 140 g ai ha−1 resulted in lower johnsongrass control and mortality percentages than did applications of 210 g ai ha−1 and 140 g ai ha−1 fb 140 g ai ha−1 across all evaluation timings and did not result in greater than 84% johnsongrass mortality, averaged over timing and location.
Visible estimates of johnsongrass control as influenced by fluazifop-butyl rate at 14, 21, and 28 d after final application and johnsongrass mortality averaged over application timing and location. a, b
a Abbreviations: DAFA, days after final application; fb, followed by.
b Means within a column followed by the same letter are not significantly different based on Fisher’s protected least significant difference (α = 0.05).
c Seed reduction is calculated relative to the nontreated.
d Initial application followed by a second application 21 d later.
When evaluating percentage seed reduction, no significant difference was observed with rate or application timing. Seed production per plant was reduced 99% or greater when fluazifop-butyl was applied, regardless of the application timing or rate (Tables 7 and 8).
TamArk™ Grain Sorghum Injury
Low levels of injury, no more than 6%, were observed with applications of fluazifop-butyl to TamArk™ grain sorghum (Table 9). TamArk™ grain sorghum injury was higher when fluazifop-butyl was applied to 5- to 6-leaf compared to 2- to 3-leaf grain sorghum, resulting in 6% and 4% injury, respectively (Table 9). No differences in TamArk™ grain sorghum injury were observed when analyzed by rate and application timing (Table 6). TamArk™ grain sorghum consistently reached the heading stage earlier when treated with fluazifop-butyl compared to nontreated plots. However, the relative heading date was not significantly affected by stage at application or application rate. The earlier heading in treated plots is attributed to the removal of johnsongrass and the associated stress on the crop caused by this weed.
Injury to TamArk™ grain sorghum as influenced by stage at initial application at 14, 21, and 28 d after final application and relative heading, averaged over application rate and location. a, b
a Abbreviation: DAFA, days after final application.
b Means within a column followed by the same letter are not significantly different based on Fisher’s protected least significant difference (α = 0.05).
c Negative values represent days before the nontreated, and positive values represent days after the nontreated.
Practical Implications
Fluazifop-butyl applications to johnsongrass greater than 6-leaf did not result in control greater than 90% regardless of the rate or number of applications. The highest level of johnsongrass control with fluazifop-butyl was achieved when johnsongrass ranged between the 2- and 6-leaf stage with either a single or sequential application. If a single application is utilized, the fluazifop-butyl rate must be 210 g ai ha−1. An application of 105 g ai ha−1 will result in sufficient johnsongrass control if followed by another application of 105 g ai ha−1 approximately 3 wk later. Regardless of fluazifop-butyl rate or timing, johnsongrass seed production was nearly eliminated. No data were collected on rhizome production. Although the number of seeds entering the soil seed bank will be reduced, johnsongrass plants still have the potential to reproduce if rhizome production is not limited.
No more than 6% injury to TamArk™ grain sorghum was observed at both application timings. Fluazifop-butyl applications before the 6-leaf stage resulted in acceptable injury, making the size of johnsongrass the most critical aspect for application timing. It is important to note that herbicide resistance to ACCase inhibitors is present in some grain sorghum–producing states and could become more problematic if grain TamArk™ sorghum is not correctly managed. Therefore fluazifop-butyl should not be relied upon solely for johnsongrass control in grain sorghum but instead should be used in a program approach with residual herbicides like chloroacetamides or atrazine as well as nonchemical control options to develop an integrated weed management strategy. Utilization of multiple strategies and not sole reliance on a single tactic will help mitigate future johnsongrass resistance to fluazifop-butyl. Fluazifop-butyl could be labeled for johnsongrass control if TamArk™ grain sorghum is commercialized in the future.
Acknowledgments
The authors thank the University of Arkansas Department of Crop, Soil, and Environmental Sciences for giving them the opportunity to conduct this research. The authors also thank the fellow graduate assistants and the program technicians for their help with this research. This research received no specific grant from any funding agency or the commercial or not-for-profit sectors. The authors declare no conflicts of interest.
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