Hostname: page-component-cd9895bd7-mkpzs Total loading time: 0 Render date: 2024-12-28T18:49:14.310Z Has data issue: false hasContentIssue false

Low carrier volume herbicide trials and UAAS support management efforts of giant salvinia (Salvinia molesta): a case study

Published online by Cambridge University Press:  18 May 2023

Andrew W. Howell*
Affiliation:
Research Scholar, Department of Crop and Soil Sciences, North Carolina State University, Raleigh, NC, USA
Erika J. Haug
Affiliation:
Research Scholar, Department of Crop and Soil Sciences, North Carolina State University, Raleigh, NC, USA
Wesley J. Everman
Affiliation:
Professor, Department of Crop and Soil Sciences, North Carolina State University, Raleigh, NC, USA
Ramon G. Leon
Affiliation:
Professor and University Faculty Scholar, Department of Crop and Soil Sciences, North Carolina State University, Raleigh, NC, USA
Robert J. Richardson
Affiliation:
William H. Culpepper Jr. Distinguished Professor, Department of Crop and Soil Sciences, North Carolina State University, Raleigh, NC, USA
*
Corresponding author: Andrew Howell; Email: awhowell@ncsu.edu
Rights & Permissions [Opens in a new window]

Abstract

Expanding the current aquatic herbicide portfolio, reducing total spray volumes, or remotely delivering herbicide using novel spray technologies could improve management opportunities targeting invasive aquatic plants, where options are more limited. However, research on giant salvinia (Salvinia molesta Mitchell) response to foliar herbicide applications at carrier volumes ≤140 L ha−1 is incomplete. Likewise, no data exist documenting S. molesta control with unoccupied aerial application systems (UAAS). Following the recent >100-ha incursion of S. molesta in Gapway Swamp, NC, a case study was developed to provide guidance for ongoing management efforts. In total, three field trials evaluated registered aquatic and experimental herbicides using a 140 L ha−1 carrier volume. Select foliar applications from UAAS were also evaluated. Results at 8 wk after treatment (WAT) indicated the experimental protoporphyrinogen oxidase inhibitor, PPO-699-01 (424 g ai ha−1), in combination with endothall dipotassium salt (2,370 g ae ha−1) provided 78% visual control, whereas control when PPO-699-01 (212 g ai ha−1) was applied alone was lower at 35%. Evaluations also showed diquat (3,136 g ai ha−1) alone, glyphosate (4,539 g ae ha−1) alone, and metsulfuron-methyl (42 g ai ha−1) alone achieved 86% to 94% visual plant control at 8 WAT. Sequential foliar applications of diquat, flumioxazin (210 g ai ha−1), and carfentrazone (67 g ai ha−1) at 6 wk following exposure to in-water fluridone treatments were no longer efficacious by 6 WAT due to plant regrowth. Carfentrazone applications made from a backpack sprayer displayed greater control than applications made with UAAS deploying identical carrier volumes at 2 WAT; however, neither application method provided effective control at 8 WAT. Additional field validation is needed to further guide management direction of S. molesta control using low carrier volume foliar applications.

Type
Case Study
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

Management Implications

Since escaping from the aquaria trade in the mid-1990s, Salvinia molesta (giant salvinia) continues to invade waterways throughout the southern United States. Because S. molesta is a free-floating fern having inherent management challenges, plant eradication largely relies on herbicides. While some existing foliar techniques do provide consistent control of S. molesta, application volumes with these herbicides are generally high (>468 L ha−1). These traditional carrier volumes can ultimately limit the scale of plant treatment, especially when using backpack sprayers or unoccupied aerial application systems (UAAS) having limited tank capacities (≤10 L). The recent discovery of S. molesta in a North Carolina cypress swamp prompted research to broaden ongoing plant management tactics deploying carrier volumes 3-fold lower than conventional application volumes (140 L ha−1). Field experiments indicated diquat (3,136 g ai ha−1) alone, glyphosate (4,539 g ae ha−1) alone, and metsulfuron-methyl (42 g ai ha−1) alone provided the longest-lasting S. molesta control. The experimental protoporphyrinogen oxidase inhibitor, PPO-699-01 (424 g ai ha−1), also showed potential for S. molesta management. This herbicide was most efficacious when tank mixed with either endothall dipotassium salt (2,370 g ae ha−1) or 2,4-D (2,129 g ae ha−1). Additional UAAS evaluations are required to examine other foliar herbicides and carrier volumes, which may provide adequate control of S. molesta. Managers attempting S. molesta control at reduced carrier volumes may wish to conduct an additional foliar spray operation (∼6 wk) to minimize plant recolonization.

Introduction

Giant salvinia (Salvinia molesta Mitchell) is an invasive, free-floating aquatic fern that has progressively colonized wetland waterways throughout the southern United States over the past three decades (EDDMapS 2022; Johnson Reference Johnson1995). Native to Brazil (Forno and Harley Reference Forno and Harley1979), the federally noxious weed rapidly forms dense vegetation mats up to 1-m thick (Thomas and Room Reference Thomas and Room1986), which can disrupt irrigation schedules, clog drainages, limit recreational opportunities, and result in human health concerns (McFarland et al. Reference McFarland, Nelson, Grodowitz, Smart and Owens2004). Ecologically, S. molesta poses threat to habitat diversity by altering water chemistry (e.g., dissolved oxygen and pH) and restricting light availability to other aquatic biotas (McFarland et al. Reference McFarland, Nelson, Grodowitz, Smart and Owens2004; Owens et al. Reference Owens, Smart, Honnell and Dick2005). Once established, the floating fern is difficult to control due to the complexities of the waterways it occupies, its prolific growth rates (Kaufman and Kaufman Reference Kaufman and Kaufman2007), and effective vegetative dispersal mechanisms (Glomski and Mudge Reference Glomski and Mudge2013; Nelson et al. Reference Nelson, Skogerboe and Getsinger2001).

In North Carolina, S. molesta was discovered in nine southeastern counties by the early 2000s (NCWRC 2015), but was considered eradicated in 2008 following rapid response measures with herbicides (W Batten, personal communication). The recent discovery (2020) of a new infestation in a cypress [Taxodium distichum (L.) Rich.] swamp system has again prompted rapid response techniques from local, state, and federal agencies (ERDC 2021; Rashash Reference Rashash2020). Initial evaluations from July 2020 revealed S. molesta had invaded approx. 100 ha within Gapway Swamp, NC (R Emens, personal communication), which prompted immediate plant control efforts using foliar-applied herbicides to prevent further plant spread to surrounding waterways. Nonchemical aquatic plant management techniques such as mechanical harvesting and biological control agents (e.g., salvinia weevil [Cyrtobagous salviniae (Calder and Sands)]) can reduce S. molesta density (Cilliers Reference Cilliers1991; Cozad et al. Reference Cozad, Mudge and Rodrigo2019; Westbrooks Reference Westbrooks2010). However, herbicides or integrated management techniques including herbicides are largely utilized for eradication and rapid response efforts due to high efficacy and selectivity (McFarland et al. Reference McFarland, Nelson, Grodowitz, Smart and Owens2004; Nelson et al. Reference Nelson, Skogerboe and Getsinger2001).

Chemical control of S. molesta in cypress swamps has been successful in Louisiana and Texas (Cozad et al. Reference Cozad, Mudge and Rodrigo2019), yet management using herbicide applications is often challenging due to limited watercraft accessibility and environmental constraints (e.g., trees provide refuge) (Sartain and Mudge Reference Sartain and Mudge2018a). Previous research has demonstrated subsurface (i.e., in-water) applications of the aquatic herbicides chelated copper, endothall dipotassium salt, fluridone, penoxsulam, and bispyribac-sodium have the potential to reduce floating plant biomass under greenhouse and field settings (Glomski and Mudge Reference Glomski and Mudge2013; Glomski et al. Reference Glomski, Nelson and Skogerboe2003; Mudge and Netherland Reference Mudge and Netherland2020; Mudge et al. Reference Mudge, Heilman, Theel and Getsinger2012). However, these types of herbicide treatments can be cost prohibitive in broad invasion scenarios, typically require long exposures (10 to 12 wk), or are restricted due to localized constraints (e.g., irrigation restrictions), which can limit operational implementation for resource managers. Therefore, foliar-applied herbicides have largely remained the most common treatment technique for S. molesta management.

The systemic herbicide glyphosate has persisted as one of the most effective foliar treatment options for managing S. molesta (Mudge et al. Reference Mudge, Perret and Winslow2016; Nelson et al. Reference Nelson, Glomski and Gladwin2007). Still, the contact herbicides diquat, flumioxazin, and carfentrazone-ethyl (hereinafter, carfentrazone) have shown favorable results used as stand-alone treatments or as tank-mix partners (Glomski and Getsinger Reference Glomski and Getsinger2006; Nelson et al. Reference Nelson, Skogerboe and Getsinger2001; Richardson et al. Reference Richardson, Roten, West, True and Gardner2008). Efficacy evaluations for 2,4-D at 0.75 to 3.0 kg ae ha−1 have also demonstrated 92% to 95% S. molesta control in greenhouse settings (Diatloff et al Reference Diatloff, Lee and Anderson1979). Similarly, 2,4-D (0.62 and 1.85 g ai ha−1) and nonionic surfactant (NIS) (0.25% v/v) suppressed S. molesta growth in a mesocosm study (Wahl et al. Reference Wahl, Mudge and Diaz2018); however, low herbicide efficacy was reported in Brazil when 2,4-D was applied at 1.34 kg ae ha−1 to S. molesta in a reservoir (Martins et al. Reference Martins, Velini, Negrisoli and Tofoli2002). In the United States, 2,4-D has not been evaluated in an operational setting and is not readily utilized for S. molesta control. The herbicide does, however, provide excellent control of the free-floating plant water hyacinth [Eichhornia crassipes (Mart.) Solms] (Enloe et al. Reference Enloe, Sperry and Leary2022), which commonly associates with S. molesta in mixed stands. In recent studies, the herbicide metsulfuron-methyl at rates ≤42 g ai ha−1 provided ≥98% control when applied to S. molesta foliage (Prevost et al. Reference Prevost, Mudge, Fontenot and Strahan2021; Sartain and Mudge Reference Sartain and Mudge2018b). However, this herbicide can only be applied under the Federal Insecticide, Fungicide, and Rodenticide Act Special Local Need (SLN) 24(c) label in Texas, Louisiana, Mississippi, Alabama, and South Carolina (Mudge Reference Mudge2020). While several foliar-applied herbicides have been trialed and utilized to successfully combat S. molesta (Glomski and Mudge Reference Glomski and Mudge2013; Mudge et al. Reference Mudge, Perret and Winslow2016; Nelson et al. Reference Nelson, Glomski and Gladwin2007; Prevost et al. Reference Prevost, Mudge, Fontenot and Strahan2021; Richardson et al. Reference Richardson, Roten, West, True and Gardner2008; Sartain and Mudge Reference Sartain and Mudge2019), there remains an interest in expanding the currently available aquatic herbicide portfolio while using lower carrier volumes (e.g., 140 L ha−1) to increase operational efficiency and performance.

Typically, aquatic herbicides are delivered at total spray volumes between 468 and 1,870 L ha−1 (Haller Reference Haller, Gettys, Haller and Petty2020; Nelson et al. Reference Nelson, Glomski and Gladwin2007). While this foliar application strategy has been successful with numerous herbicides and plant targets (Sperry and Ferrell Reference Sperry and Ferrell2021), there are associated hindrances that make “high” spray-volume applications undesirable for current management tactics. Research has established carrier volume directly affects spray deposition, herbicide activity, and ultimately aquatic plant control (Moreira et al. Reference Moreira, Monteiro and Sousa1999; Nelson et al. Reference Nelson, Glomski and Gladwin2007; Sperry and Ferrell Reference Sperry and Ferrell2021; Sperry et al. Reference Sperry, Mudge and Getsinger2022; Van et al. Reference Van, Vandiver and Conant1986; Willard et al. Reference Willard, Shilling, Haller and Langeland1998). Limitations of high carrier volumes (e.g., 935 L ha−1) include reduced spray retention at low floating plant densities, thus resulting in spray loss to the water column (Mudge et al. Reference Mudge, Sperry and Getsinger2021), and reduced herbicide concentration per spray droplet (Knoche Reference Knoche1994). In general, herbicide applications made with lower carrier volumes are preferred because of time savings when filling spray tanks (Nelson et al. Reference Nelson, Glomski and Gladwin2007), public perception (Sperry and Ferrell Reference Sperry and Ferrell2021), increased spray retention on plant targets (Sperry et al. Reference Sperry, Mudge and Getsinger2022), and the increased performance of some herbicides on floating plant species (Nelson et al. Reference Nelson, Glomski and Gladwin2007; Sperry and Ferrell Reference Sperry and Ferrell2021; Van et al. Reference Van, Vandiver and Conant1986). In a mesocosm study, Sartain and Mudge (Reference Sartain and Mudge2018a) evaluated winter herbicide applications on S. molesta and T. distichum using a carrier volume representative of an aerial application (94 L ha−1). While treatment efficacy varied by application timing (month and year), Sartain and Mudge (Reference Sartain and Mudge2018a) found low spray-volume applications of diquat, glyphosate, flumioxazin, and glyphosate + diquat provided 40% to 100% control of S. molesta.

Traditional spray application techniques made with hand wands often requires applicators to navigate hazardous environmental conditions (e.g., trees, submersed objects and stumps) to achieve adequate spray coverage for plant control. Inaccessible regions within a waterbody can also completely restrict foliar applications due to obstruction (e.g., trees and tussocks) and limited water depth (e.g., too shallow for watercraft), making spray attempts futile. Over the past decade, unoccupied aerial application systems (UAAS) have gained popularity in terrestrial settings to remotely deliver herbicides in complex environments that limit access for ground-based operations (Göktoǧan et al. Reference Göktoǧan, Sukkarieh, Bryson, Randle, Lupton and Hung2010; Lan et al. Reference Lan, Shengde and Fritz2017; Wang et al. Reference Wang, Lan, Qi, Chen, Hewitt and Han2019; Xue et al. Reference Xue, Lan, Zhu, Chun and Hoffman2016). Aquatic herbicide applicators have expressed the desire to integrate UAAS in spray operations to overcome inherent environmental complexities in aquatics and potentially decrease exposure to herbicides during treatment. However, commercially available UAAS typically have tank volumes of ≤10 L to conform to Federal Aviation Administration regulations (i.e., FAA 14 CFR Part 107). Existing application strategies limit UAAS operational use and further signify the importance of reevaluating carrier volumes for foliar spray tasks. To date, literature regarding UAAS practices among aquatic site applications remains limited; however, positive results have been documented when implementing UAAS for site-specific weed management over conventional broadcast herbicide applications in terrestrial sites (Hunter et al. Reference Hunter, Gannon, Richardson, Yelverton and Leon2020). While studies do exist comparing the efficacy and efficiency of UAAS and standard backpack applications in terrestrial settings (Gertsis and Karampekos Reference Gertsis, Karampekos, Bochtis, Pearson, Lampridi, Marinoudi and Pardalos2021; Hunter et al. Reference Hunter, Gannon, Richardson, Yelverton and Leon2020; Martin et al. Reference Martin, Singh, Latheef and Bagavathiannan2020), none have directly correlated herbicide efficacy holding carrier volume constant. There remains a clear need to investigate the performance of herbicides delivered from UAAS to traditional ground-based applications made at low carrier volumes for aquatic weed management.

Although spray application techniques in terrestrial settings generally outpace weed management strategies in aquatics, there is an opportunity to adopt similar spray technology and techniques to enhance current floating plant management strategies. As weed science practices evolve with time, it is important to evaluate novel foliar spray methods to increase herbicide efficacy while increasing spray application efficiency. We hypothesize the reduction of carrier volume will achieve comparable results to current management tactics and thereby provide an additional application strategy for management. The objectives of this research are to: (1) evaluate the efficacy of aquatic and experimental herbicides at reduced carrier volumes for S. molesta control efforts; (2) determine the effectiveness of diquat, flumioxazin, and carfentrazone applied as sequential treatments following in-water fluridone applications; and (3) document the performance of carfentrazone when applied with an UAAS versus foliar backpack applications. Findings are reported as a case study to inform current and future S. molesta management efforts.

Materials and Methods

Three field trials were conducted within select sites of Gapway Swamp (Columbus County, NC; 34.21°N, 78.94°W) to evaluate the efficacy of registered aquatic and experimental herbicides against tertiary-growth S. molesta during the summer of 2021 (Figure 1). Two trials occurred within a local farm pond (0.61 ha) directly adjacent to the main swamp system, and one trial occurred at a nearby beaver pond (0.24 ha) connected via culvert to the swamp. Before herbicide applications, floating quadrats (0.79 m2) constructed of polyvinyl chloride pipe (2.54-cm diameter) and floatation foam (7.62-cm diameter) were deployed to serve as plots for the selected herbicide treatments. Floating quadrats were spaced 0.9 m apart using parachute cordage and secured in place using metal conduit anchors. Trials were initiated July 13, 20, and 28 (Trials 1, 2, and 3, respectively) and were monitored weekly over the 8-wk study period. Ambient environmental conditions at the time of the herbicide applications consisted of partly sunny skies with air temperatures of 28 C (± 0.7 SD) and wind speeds not exceeding 9.7 km h−1. At the time of herbicide treatment, plots were 100% covered with 7- to 10-cm-thick S. molesta. Nontreated plots (0.79 m2) had pretreatment biomass values of 328.0 ± 58.5 g dry weight.

Figure 1. Map of the Salvinia molesta infestation site at Gapway Swamp (Columbus County, NC; 34.21°N, 78.94°W) and study locations used for the three field trials conducted during the summer of 2021 (A). Salvinia molesta (dark brown foliage) completely occupied all open water within the Taxodium distichum (gray foliage) swamp as depicted in the January 23, 2021, satellite image. Field Trial 3 was conducted at the beaver pond (B; pretreatment aerial image captured July 20, 2021), while field Trials 1 and 3 were conducted at the farm pond (C; pretreatment aerial image captured June 30, 2021).

Trial 1 (farm pond) included varying rates of two experimental products, PPO-699-01 (in development; protoporphyrinogen oxidase inhibitor) and PPO-393-01 (in development; protoporphyrinogen oxidase inhibitor), and the registered aquatic herbicides 2,4-D amine (WSSA Group 4; synthetic auxin) and endothall dipotassium salt (WSSA Group 31; protein phosphatase inhibitor). Trial 2 (farm pond) evaluated the herbicides carfentrazone (WSSA Group 14; protoporphyrinogen oxidase inhibitor), diquat (WSSA Group 22; photosystem I diversion), flumioxazin (WSSA Group 14; protoporphyrinogen oxidase inhibitor), glyphosate (WSSA Group 9; 5-enolpyruvylshikimate-3-phosphate synthase inhibitor), metsulfuron-methyl (WSSA Group 2; acetolactate synthase inhibitor), and penoxsulam (WSSA Group 2; acetolactate synthase inhibitor). Previous research suggests a sequential “bump” application of fluridone (WSSA Group 12; carotenoid biosynthesis inhibitor) is often required 6 to 8 wk after initial treatment to maintain suitable in-water herbicide concentrations to control established S. molesta populations (Mudge et al. Reference Mudge, Heilman, Theel and Getsinger2012). While single subsurface fluridone treatments of 10 to 20 µg L−1 often severely injure S. molesta (Mudge et al. Reference Mudge, Heilman, Theel and Getsinger2012), regrowth occurs with frequency in well-established populations (AW Howell, personal observation), and managers have suggested the desire to spot treat areas using foliar-applied herbicides to control remaining plants. Likewise, the application of foliar herbicide treatments is generally more economical for control of targeted areas of regrowth than subsurface fluridone applications. The contact herbicides carfentrazone, diquat, and flumioxazin, are commonly deployed for S. molesta management in South Carolina (C Moorer, personal communication). Therefore, Trial 3 (beaver pond) evaluated these three herbicides made as a sequential application following an in-water treatment of fluridone that had occurred 6 wk before trial initiation. A complete list of the herbicides used in these trials is included in Table 1. All herbicide treatments included a nonionic surfactant (Induce®, Helena Agri-Enterprises, Collierville, TN, USA) at 0.25% v/v. For each trial, a nontreated control was included to compare plant vigor without herbicide. All treatments followed a randomized complete block design and included four replicates. Foliar applications were done from a boat using a CO2-pressurized backpack sprayer with a handheld boom fit with two XR110015-VP nozzles (TeeJet® nozzles, Spraying Systems, Wheaton, IL, USA) calibrated to deliver an application volume of 140 L ha−1. Applications were made approximately 0.4 m above the plant canopy and when wind speeds were <3.2 km h−1, to avoid spray drift onto adjacent plots. At both of the trial locations, a UAAS was deployed to compare the efficacy of carfentrazone backpack foliar applications and low-altitude (3 m above ground level [m AGL]) aerial carfentrazone foliar applications. Carfentrazone was chosen for ground and aerial application comparisons because the herbicide was the most widely utilized foliar treatment deployed during initial S. molesta eradication efforts at Gapway Swamp. Aerial applications were done with a DJI Agras MG-1 octocopter (Da-Jiang Innovations, Shenzhen, China) consisting of four AIXR11002-VP (TeeJet® nozzles, Spraying Systems) nozzles calibrated to deliver 140 L ha−1. Ground-based visual assessments of efficacy were not feasible due to inaccessibility and concern of plot disturbance. For all trials, aerial imagery was collected with a DJI Phantom 4 Advanced (Da-Jiang Innovations) small unoccupied aerial system (sUAS) at 9 and 61 m AGL to evaluate pretreatment S. molesta vigor and plant injury or regrowth following herbicide applications. Treatments were compared using visual estimations from aerial imagery to determine plant control (0% = no plant control to 100% = complete necrosis) among treatments at each evaluation. Additionally, fractional green canopy cover (FGCC) was calculated from collected aerial imagery in ImageJ software (National Institutes of Health, Bethesda, MD, USA), following methods similar to those described by Ali et al. (Reference Ali, Streibig, Duus and Andreasen2013), to provide a quantitative measure of the remaining viable plant material at 8 WAT. This binary image-processing procedure utilizes hue, saturation, and brightness color thresholding parameters, calibrated to the nontreated reference plots to separate green plant material (pixels) from the non-green background (i.e., water and necrotic plant tissues) to calculate the percentage of green pixels (Figure 2). Following image collection, plots were harvested of viable floating plant material at 8 WAT, and plants were force air-dried for 72 h at 60 C, then recorded as dry biomass. All data were subjected to ANOVA, and means were separated using Fisher’s protected LSD (P ≤ 0.05) in RStudio (v. 4.0.3; R Core Team 2020) using the agricolae (de Mendiburu Reference de Mendiburu2020) and dplyr packages (Wickham et al. Reference Wickham, Francois, Henry and Muller2021). Statistical comparisons of plant control by application technique between backpack and foliar treatments used Student’s t-test (α = 0.05) in RStudio. A Pearson correlation analysis was performed comparing calculated FGCC percentages and visual control estimates to measure the strength of the relationship between the metrics. Where appropriate, herbicide tank mixtures were examined further to calculate whether control was synergistic, antagonistic, or additive at 8 WAT using Colby’s method:

(1) $$E = \left( {X + Y} \right) - \left( {{{XY} \over {100}}} \right)$$

Table 1. Herbicides evaluated in the three field trials (Gapway Swamp, NC) examining the control of Salvinia molesta under low carrier volume applications in 2021.

Figure 2. Example workflow developed to evaluate Salvinia molesta response to various foliar herbicide applications in Trial 2 captured from aerial imagery at 8 wk after treatment (WAT). Abbreviations of herbicides listed under the original RGB image indicate M0.5, metsulfuron-methyl (21 g ai ha−1); F, flumioxazin (210 g ai ha−1); F+G, flumioxazin (210 g ai ha−1) + glyphosate (4,539 g ae ha−1); N, nontreated; M1.0, metsulfuron-methyl (42 g ai ha−1); C+P, carfentrazone (67 g ai ha−1) + penoxsulam (70 g ai ha−1); C, carfentrazone (67 g ai ha−1); G, glyphosate (4,539 g ae ha−1); and D, diquat (3,136 g ai ha−1). Percentages listed under the cropped plot images represent visually estimated control values of each respective experimental unit. Percentages listed under the binary images (black and white) illustrate fractional green canopy cover (FGCC) calculated from the cropped images in ImageJ software.

where E is the expected control (%) of two herbicides applied as a tank mixture, X is control (%) of herbicide A applied alone, and Y is the control (%) of herbicide B when applied alone. When the observed control is greater than expected, the tank mixture is synergistic; when observed control is less than expected, the tank mixture is antagonistic (Colby Reference Colby1967). If the observed and expected control levels are equal, the tank mixture is then considered additive (Colby Reference Colby1967).

Results and Discussion

Trial 1. Evaluation of Experimental Herbicides Alone and in Combination

Within 1 WAT, all treatment plots showed varying levels of herbicide injury, which included chlorotic and necrotic fronds (data not shown). Visual control estimates at 2 WAT indicated PPO-699-01 in combination with endothall or 2,4-D provided the greatest injury to treated S. molesta with 96% and 94% control, respectively (Table 2). Previous studies have shown endothall alone or as a tank-mix partner in foliar spray solutions provides rapid injury symptoms to S. molesta within days to 2 WAT (Mudge and Netherland Reference Mudge and Netherland2020; Mudge et al. Reference Mudge, Perret and Winslow2016; Nelson et al. Reference Nelson, Skogerboe and Getsinger2001) and support the additive injury benefits shown in the present trial when endothall was included with PPO-699-01 as a tank-mix partner. Across all treatments, visual control levels peaked at 4 WAT with no difference between PPO-699-01 single or combination treatments (85% to 94% visual control). Plant injury from combinations of PPO-699-01 with PPO-393-01 progressed more slowly than from the combinations of PPO-699-01 with either endothall or 2,4-D; however, by the 6 WAT evaluation, there were no differences between the highest rate of PPO-699-01 alone and PPO-699-01 with either rate of PPO-393-01, endothall, or 2,4-D. PPO-699-01 alone at 212 g ai ha−1 provided the least control during these later evaluations. At the trial conclusion (8 WAT), all treatments showed varying levels of regrowth. However, due to a high degree of variability in regrowth by 8 WAT, only PPO-699-01 in combination with endothall provided significant improvement in visual control (78%) over PPO-699-01 applied alone at the lowest rate (35%). Computer-aided estimates of FGCC conveyed results similar to visual control estimates at 8 WAT, with PPO-699-01 in combination with endothall providing the least green canopy cover (31% less FGCC than the nontreated reference plots) and therefore the greatest plant control. Dry weight data showed a response similar to the visual and calculated image analysis metrics. Reduction in biomass was greatest with PPO-699-01 in combination with endothall; however, all other treatments did not differ from one another (Table 2).

Table 2. Visually estimated control, fractional green canopy cover (FGCC), and dry weights (±SE) of Salvinia molesta following foliar herbicide applications in Trial 1 at the farm pond (Gapway Swamp, NC).

a Visual control rated on 0% to 100% scale: 0% = no plant response to 100% = complete necrosis.

b Mean responses within a column followed by the same letter do not differ according to Fisher’s protected LSD (P ≤ 0.05).

c Nonionic surfactant at 0.25% v/v included with all herbicide applications.

d Endothall and 2,4-D are reported in g ae ha−1.

e FGCC at harvest: 0% = no green canopy cover to 100% = complete green canopy cover.

Trial 2. Evaluation of Commonly Applied Foliar Herbicides Alone and in Combination

At 1 WAT, all foliar herbicide applications resulted in chlorotic and necrotic fronds (data not shown), and by 2 WAT, all treatments provided 84% to 97% visual control (Table 3). Apart from plots treated with carfentrazone alone or flumioxazin + glyphosate, control continued to increase at 4 WAT. Carfentrazone alone showed the highest recovery at this 4 WAT evaluation. However, varying levels of plant recovery were observed among all treatment plots beyond 4 WAT. At 7 WAT, no difference was detected between diquat, flumioxazin, glyphosate, and metsulfuron-methyl at 42 g ai ha−1, which provided 73% to 96% control (Table 3). A significant rate response (P > 0.05) was observed at 7 and 8 WAT for metsulfuron-methyl, as plots treated at 42 g ai ha−1 improved visual control 78 to 80 percentage points greater than plots treated with metsulfuron-methyl at 21 g ai ha−1 (7 and 8 WAT, respectively). Sartain and Mudge (Reference Sartain and Mudge2018b) indicated metsulfuron-methyl at 21 and 42 g ai ha−1 provided >98% control in a 12-wk mesocosm study, which contradicts the difference in metsulfuron rate response presented in the current trial. However, previous research has shown that mesocosm results do not necessarily align with field assessments due to environmental variability (Netherland and Getsinger Reference Netherland and Getsinger2018). This could explain the significant rate response difference for metsulfuron-methyl in the present trial not being observed in previous mesocosm trials. By 8 WAT, foliar treatments of carfentrazone, flumioxazin + glyphosate, and metsulfuron-methyl at 21 g ai ha−1 provided the least control (≤6%) (Table 3). Antagonism was detected when flumioxazin and glyphosate were tank mixed, as flumioxazin alone and glyphosate alone provided 47 and 91 percentage points greater S. molesta control than the tank-mixed treatment, respectively. While flumioxazin is a broad-spectrum contact herbicide (Schardt and Netherland Reference Schardt, Netherland, Gettys, Haller and Petty2020), it is possible that rapid cell death ultimately limited the systemic properties of glyphosate on S. molesta, thus reducing the effectiveness of the tank mix. However, previous mesocosm research contradicts the calculated flumioxazin + glyphosate antagonism in the present trial, because these herbicides in combination provided >98% S. molesta control at 7 to 8 WAT (Mudge and Sartain Reference Mudge and Sartain2018; Mudge et al. Reference Mudge, Perret and Winslow2016). While all treatments displayed S. molesta recovery 8 WAT, plots treated with diquat alone, glyphosate alone, and metsulfuron-methyl alone at 42 g ai ha−1 did achieve 87%, 94%, and 86% visual plant control, respectively. Further, there was no difference at 8 WAT in visual control estimates for diquat, glyphosate, and metsulfuron-methyl at 42 g ai ha−1 (Table 3).

Table 3. Visually estimated control, fractional green canopy cover (FGCC), and dry weights (±SE) of Salvinia molesta following foliar herbicide applications via backpack and unoccupied aerial application systems in Trial 2 at the farm pond (Gapway Swamp, NC).

a Visual control rated on 0% to 100% scale: 0% = no plant response to 100% = complete necrosis.

b Mean responses within a column followed by the same letter do not differ according to Fisher’s protected LSD (P ≤ 0.05).

c Nonionic surfactant at 0.25% v/v included with all herbicide applications.

d Glyphosate is reported in g ae ha−1.

e FGCC at harvest: 0% = no green canopy cover to 100% = complete green canopy cover.

f An asterisk (*) following the metric indicates the mean response by application method differs for carfentrazone using Student’s t-test (α = 0.05).

Imagery analysis of FGCC closely supported the visual estimates of control at 8 WAT, with diquat, glyphosate, and metsulfuron-methyl at 42 g ai ha−1 providing the least green canopy cover (45%, 43%, and 41% less FGCC than the nontreated reference plots, respectively) and therefore the greatest control (Table 3). It should be noted the FGCC calculations for carfentrazone + penoxsulam, diquat, glyphosate, and metsulfuron-methyl at 42 g ai ha−1 were not different according to ANOVA (P = 0.05), which does differ from visual control evaluations at the trial conclusion at 8 WAT (Table 3). Dry weight data did not provide separation between treatments (P = 0.103); further, no treatments differed from the nontreated reference biomass (Table 3). This response is likely due in part to the tertiary growth present at the time of herbicide application. Previous studies have documented limited plant control following foliar-applied herbicides to multiple plant layers due to difficulty in herbicide penetration through the entire plant canopy (Mudge et al. Reference Mudge, Perret and Winslow2016; Sartain and Mudge Reference Sartain and Mudge2018b). We hypothesize S. molesta recolonization experienced among treatment plots at approximately 4 WAT was from second- and third-layer plant material that remained shielded by the top-most plant layer during the foliar applications. While contact herbicides like flumioxazin initially provide rapid injury symptoms, greenhouse and field studies have indicated S. molesta recovery when contact herbicides are applied alone (Richardson et al. Reference Richardson, Roten, West, True and Gardner2008; Sartain and Mudge Reference Sartain and Mudge2019). Because living S. molesta can remain trapped under dead biomass, results from visual and calculated plant control best describe the initial plant responses to treatment (Figure 2). Results from Pearson correlation analysis showed a strong inverse association when FGCC image calculations are used as a surrogate to visual control observations for gauging plant response to treatment (r = −0.90). Therefore, similar image analysis techniques are encouraged to monitor S. molesta response to herbicide in future studies, particularly in plant management scenarios having limited site access.

Salvinia molesta treated with the UAAS provided 80% visual control at 1 WAT (data not shown). However, UAAS treatments began recovering by 2 WAT, with carfentrazone backpack applications showing greater plant control over UAAS treatments (Table 3). Nevertheless, there was no difference between carfentrazone application methods beyond the 4 WAT evaluation (α = 0.05), and plants had fully recovered at 8 WAT regardless of the treatment method (Table 3). The lack of control at trial conclusion is not surprising based on previous evaluations of carfentrazone that indicated retreatment might be necessary beyond 4 WAT to control remaining viable plant tissues leading to regrowth (Glomski and Getsinger Reference Glomski and Getsinger2006). Ramsdale and Messersmith (Reference Ramsdale and Messersmith2001) evaluated the effects of adjuvant type on carfentrazone efficacy in terrestrial settings and showed 9% to 12% improved control of flax (Linum usitatissimum L.) and oilseed sunflower (Helianthus annuus L.) when a methylated vegetable oil (MVO) was included in the spray solution in place of NIS. Because S. molesta is guarded by trichromes on the surface of plant fronds, which reduces spray penetration and thus limits herbicide effectiveness (McFarland et al. Reference McFarland, Nelson, Grodowitz, Smart and Owens2004), the inclusion of a more appropriate spray adjuvant or higher adjuvant rate (i.e., MVO or NIS at 1% v/v) may have improved plant control over the inclusion of NIS at 0.25% v/v in the present trial. Future evaluations should investigate the variability between ground and aerial applications of additional contact herbicides with varying spray adjuvants and the influence on S. molesta control.

Trial 3. Evaluation of Select Contact Herbicides as a Sequential Application to In-Water Fluridone Exposures

Salvinia molesta was partially bleached and chlorotic (data not shown) following an in-water application of fluridone 6 wk before the foliar treatment trial initiation (Figure 1B). Sequential foliar applications of carfentrazone, diquat, and flumioxazin to the fluridone-treated plants resulted in rapid plant injury, with necrotic fronds appearing within 1 WAT, whereas nontreated reference plots displayed signs of recovery (healthy green fronds) following the previous fluridone treatment (i.e., 7 wk following initial fluridone exposure; data not shown). Although visual control for all herbicides peaked at 97% to 99% at 2 WAT, observations of S. molesta recovery did occur across all treatment plots by 4 WAT (Table 4). At the 2 WAT evaluation, carfentrazone applications made with the backpack technique displayed greater control than applications made via the UAAS, which mimics Trial 2 results using these spray techniques (Tables 3 and 4). However, no difference was observed between carfentrazone application methods at any other evaluation time point (α = 0.05). Due to the fact that carrier volume was held constant in these trials, we speculate that other factors such differences in spray droplet size and distribution (droplets per unit area) between the backpack and UAAS treatments influenced the performance of the contact herbicide, carfentrazone (data not shown). Salvinia molesta control was not considered efficacious for management by 6 WAT (35% to 43% visual control) due to rapid recolonization, and complete plant recovery was observed for all foliar treatments by the trial’s conclusion at 8 WAT (Table 4). Results from the quantitative measurements of FGCC further support visual control estimates, with no difference detected between treated and nontreated plants at the 8-wk harvest (Table 4). While dry weight data at 8 WAT indicated all herbicide treatments significantly reduced plant biomass 39% to 60% compared with nontreated plots (P = 0.027), no difference was detected between treatments, and suitable plant control was not achieved.

Table 4. Visually estimated control, fractional green canopy cover (FGCC), and dry weights (±SE) of Salvinia molesta following select sequential foliar herbicide applications overtop plants treated 6 wk prior with fluridone at the beaver pond (Gapway Swamp, NC).

a Visual control rated on 0% to 100% scale: 0% = no plant response to 100% = complete necrosis.

b Mean responses within a column followed by the same letter do not differ according to Fisher’s protected LSD (P ≤ 0.05).

c Nonionic surfactant at 0.25% v/v included with all herbicide applications. Applications were made via backpack and unoccupied aerial application systems in Trial 3.

d FGCC at harvest: 0% = no green canopy cover to 100% = complete green canopy cover.

e An asterisk (*) following the metric indicates the mean response by application method differs for carfentrazone using Student’s t-test (α = 0.05).

Floating plant control frequently relies on foliar herbicide application strategies during early invasion scenarios and when targeting persistent or escape plants following active management. However, results from the present trial generally do not support the use of a single foliar application of the contact herbicides carfentrazone, diquat, or flumioxazin as a surrogate to maintaining, or increasing, S. molesta control when fluridone concentrations are in a lag phase (below lethal concentrations). While all foliar treatment and application methods provided excellent visual control (88% to 99%) within 2 WAT (Table 4), initial treatment efficacy was not synonymous with long-term effectiveness. Further, plant recovery following treatment occurred more rapidly than previously documented (Glomski and Getsinger Reference Glomski and Getsinger2006; Mudge and Sartain Reference Mudge and Sartain2018; Mudge et al. Reference Mudge, Heilman, Theel and Getsinger2012; Nelson et al. Reference Nelson, Skogerboe and Getsinger2001; Richardson et al. Reference Richardson, Roten, West, True and Gardner2008; Sartain and Mudge Reference Sartain and Mudge2019). The rapidity of plant regrowth observed within plots among all foliar treatments suggests mat thickness likely contributed to decreased herbicide performance, as S. molesta mats were 7- to 10-cm thick at trial initiation. Another likely explanation for reduced herbicide performance was the decomposed and injured plant material present from the fluridone application, which could have shielded newly formed S. molesta fronds from the foliar spray; thus, new growth likely originated from tissue not exposed to herbicide. Previous research supports this hypothesis, as Sartain and Mudge (Reference Sartain and Mudge2019) attributed the presence of necrotic plant tissue to reducing the efficacy of diquat and flumioxazin when foliar applied to S. molesta. Wersal and Madsen (Reference Wersal and Madsen2010) also observed a similar shielding response when common salvinia (Salvinia minima Baker) was sprayed with diquat at 130.8 g ai ha−1 to surface plant material, which allowed plants underneath the mat surface to recolonize. Because contact herbicides are not actively translocated within the plant phloem (Shaner Reference Shaner2014), the fast-acting nature of carfentrazone, diquat, and flumioxazin treatments evaluated in the present trial also may have limited the longevity of plant control (Sartain and Mudge Reference Sartain and Mudge2019). There remains the need to evaluate the performance of additional slower-acting foliar herbicides such as glyphosate or penoxsulam as sequential applications to in-water fluridone exposure and the influence of S. molesta growth stage at time of the sequential application (i.e., primary, secondary, or tertiary stage).

In conclusion, data from the Gapway Swamp, NC, field trials revealed some low carrier volume foliar applications (≤140 L ha−1) may provide an effective alternative to the more commonly delivered spray volumes of 468 to 1,870 L ha−1 for floating plant control (Haller Reference Haller, Gettys, Haller and Petty2020; Nelson et al. Reference Nelson, Glomski and Gladwin2007). While select experimental and registered aquatic foliar herbicides controlled 73% to 94% of S. molesta in the tertiary growth stage, sequential foliar applications would be necessary to maintain plant control beyond 6 WAT. Further, we recognize that some of the herbicides evaluated in this case study are not currently labeled for aquatic site applications in North Carolina (i.e., experimental PPO and metsulfuron-methyl), which may restrict their use if desired for management. Still, these data provide value for future S. molesta control efforts in North Carolina and management of additional invasion sites throughout the United States. The inclusion of aerial image capture at each evaluation further enhanced separation of plant response to treatment over time. Image analytics previously described provide rapid quantitative assessment of plant phytotoxicity, and future use of sUAS true-color imagery as an alternative evaluation technique to gauge S. molesta treatment success is encouraged. Future research should continue identifying low-volume application strategies with other herbicides and tank-mix partners and evaluate UAAS-directed in-water application techniques with appropriate herbicides for S. molesta management.

Acknowledgments

The authors would like to acknowledge Casey Bardier, Delaney Davenport, Kara Foley, Doug Fox, Tyler Harris, Steve Hoyle, Stephanie Nawrocki, Drew Gay, and Rob Emens for their field assistance with this project. Funding for this project was provided in part by the herbicide product companies UPL Limited and SePRO Corporation. No other conflicts of interest are declared.

Footnotes

Associate Editor: James K. Leary, University of Florida

References

Ali, A, Streibig, JC, Duus, J, Andreasen, C (2013) Use of image analysis to assess color response on plants caused by herbicide application. Weed Technol 27:604611 CrossRefGoogle Scholar
Cilliers, CJ (1991) Biological control of water fern, Salvinia molesta (Salviniaceae), in South Africa. Agric Ecosyst Environ 37:219224 CrossRefGoogle Scholar
Colby, SR (1967) Calculating synergistic and antagonistic responses of herbicide combinations. Weeds 15:2022 CrossRefGoogle Scholar
Cozad, LA, Mudge, CR, Rodrigo, D (2019) Integrated management of giant salvinia using herbicides and the salvinia weevil. J Aquat Plant Manag 57:6268 Google Scholar
de Mendiburu, F (2020) agricolae: Statistical Procedures for Agricultural Research. R Package Version 1.3-3. https://CRAN.R-project.org/packageagricolae. Accessed: April 27, 2022Google Scholar
Diatloff, G, Lee, AN, Anderson, TM (1979) A new approach for salvinia control. J Aquat Plant Manag 17:2427 Google Scholar
EDDMapS (2022) Early Detection and Distribution Mapping System. University of Georgia–Center for Invasive Species and Ecosystem Health. http://www.eddmaps.org. Accessed: August 25, 2022Google Scholar
[ERDC] Engineer Research and Development Center (2021) Establishment of Cyrtobagous salviniae for Biological Control of Salvinia molesta in Richardson and Buffkin Ponds: Finding of No Significant Impact (FONSI). U.S. Army Corps of Engineers, Wilmington District. 22 ppGoogle Scholar
Enloe, SF, Sperry, B, Leary, J (2022) Efficacy of Herbicide Active Ingredients against Aquatic Weeds. SS-AGR-44. https://edis.ifas.ufl.edu/publication/AG262. Accessed: August 26, 2022Google Scholar
Forno, IW, Harley, KLS (1979) The occurrence of Salvinia molesta in Brazil. Aquat Bot 6:185187 CrossRefGoogle Scholar
Gertsis, A, Karampekos, L (2021) Evaluation of spray coverage and other spraying characteristics from ground and aerial sprayers (drones: UAVs) used in a high-density planting olive grove in Greece. Pages 255268 in Bochtis, DD, Pearson, S, Lampridi, M, Marinoudi, V, Pardalos, PM, eds. Information and Communication Technologies for Agriculture—Theme IV: Actions. Springer Optimization and Its Applications 185. Cham, Switzerland: Springer Google Scholar
Glomski, LM, Getsinger, KD (2006) Carfentrazone-ethyl for control of giant salvinia. J Aquat Plant Manag 44:136138 Google Scholar
Glomski, LM, Mudge, CR (2013) Effect of subsurface and foliar applications of bispyribac-sodium on water hyacinth, water lettuce, and giant salvinia. J Aquat Plant Manag 51:6265 Google Scholar
Glomski, LM, Nelson, LS, Skogerboe, JG (2003) Clearigate treatments for control of giant salvinia. J Aquat Plant Manag 41:127129 Google Scholar
Göktoǧan, AH, Sukkarieh, S, Bryson, M, Randle, J, Lupton, T, Hung, C (2010) A rotary-wing unmanned air vehicle for aquatic weed surveillance and management. J Intell Robot Syst 57:467484 CrossRefGoogle Scholar
Haller, WT (2020) Aquatic herbicide application methods. Pages 191196 in Gettys, LA, Haller, WT, Petty, DG, eds. Biology and Control of Aquatic Plants: A Best Management Practices Handbook. 4th ed. Marietta, GA: Aquatic Ecosystem Restoration FoundationGoogle Scholar
Hunter, JE, Gannon, TW, Richardson, RJ, Yelverton, FH, Leon, RG (2020) Integration of remote-weed mapping and an autonomous spraying unmanned aerial vehicle for site-specific weed management. Pest Manag Sci 76:13861392 CrossRefGoogle Scholar
Johnson, D (1995) Giant salvinia found in South Carolina. Aquatics 17:22 Google Scholar
Kaufman, SR, Kaufman, W (2007) Invasive Plants: Guide to Identification and the Impacts and Control of Common North American Species. Mechanicsburg, PA: Stackpole Books. 458 pGoogle Scholar
Knoche, M (1994) Effect of droplet size and carrier volume on performance of foliage-applied herbicides. Crop Prot 13:163178 CrossRefGoogle Scholar
Lan, Y, Shengde, C, Fritz, B (2017) Current status and future trends of precision agricultural aviation technologies. Int J Agric Biol Eng 10:117 Google Scholar
Martin, D, Singh, V, Latheef, MA, Bagavathiannan, M (2020) Spray deposition on weeds (Palmer amaranth and morningglory) from a remotely piloted aerial application system and backpack sprayer. Drones 4:118 CrossRefGoogle Scholar
Martins, D, Velini, ED, Negrisoli, E, Tofoli, GR (2002) Chemical control of Pistia stratiotes, Echhornia crassipes and Salvinia molesta in reservoirs. Planta Daninha 20:8388 CrossRefGoogle Scholar
McFarland, DG, Nelson, LS, Grodowitz, MJ, Smart, RM, Owens, CS (2004) Salvinia molesta D.S. Mitchell (Giant Salvinia) in the United States: A Review of Species Ecology and Approaches to Management. ERDC/EL SR-04-2. Vicksburg, MS: U.S. Army Engineer Research and Development Center. 41 pGoogle Scholar
Moreira, I, Monteiro, A, Sousa, E (1999) Chemical control of common reed (Phragmites australis) by foliar herbicides under different spray conditions. Hydrobiologia 415:299304 CrossRefGoogle Scholar
Mudge, CR (2020) Chemical Control of Giant Salvinia: Updates and Challenges. ISLT/APMS Webinar. https://corpslakes.erdc.dren.mil/employees/learning/webinars/20Oct21-GiantSalvinia.pdf. Accessed: August 26, 2022Google Scholar
Mudge, CR, Heilman, MA, Theel, HJ, Getsinger, KD (2012) Impact of subsurface and foliar penoxsulam and fluridone applications on giant salvinia. J Aquat Plant Manag 50:116124 Google Scholar
Mudge, CR, Netherland, MD (2020) Evaluation of New Endothall and Florpyrauxifen-Benzyl Use Patterns for Controlling Crested Floating Heart and Giant Salvinia. ERDC/TN APCRP-CC-22 November 2020. Vicksburg, MS: US Army Engineer Research and Development Center. 13 p. https://el.erdc.dren.mil/aqua/aqua.html CrossRefGoogle Scholar
Mudge, CR, Perret, AJ, Winslow, JR (2016) Evaluation of foliar herbicide and surfactant combinations for control of giant salvinia at three application timings. J Aquat Plant Manag 54:3236 Google Scholar
Mudge, CR, Sartain, BT (2018) Influence of winter on herbicide efficacy for control of giant salvinia (Salvinia molesta). J Aquat Plant Manag 56:6871 Google Scholar
Mudge, CR, Sperry, BP, Getsinger, KD (2021) Influence of floating plant density on potential herbicide spray loss. Pest Manag Sci 77:44474452 CrossRefGoogle ScholarPubMed
Nelson, LS, Glomski, LM, Gladwin, DN (2007) Effect of glyphosate rate and spray volume on control of giant salvinia. J Aquat Plant Manag 45:5861 Google Scholar
Nelson, LS, Skogerboe, JG, Getsinger, KD (2001) Herbicide evaluation against giant salvinia. J Aquat Plant Manag 39:4853 Google Scholar
Netherland, MD, Getsinger, KD (2018) Scaling studies for submersed aquatic plant management research. J Aquat Plant Manag 56s:1016 Google Scholar
[NCWRC] North Carolina Wildlife Resource Commission (2015) North Carolina Aquatic Nuisance Species Management Plan. Raleigh, NC: North Carolina Wildlife Resource Commission. 96 pGoogle Scholar
Owens, CS, Smart, RM, Honnell, DR, Dick, GO (2005) Effects of pH on growth of Salvinia molesta Mitchell. J Aquat Plant Manag 43:3438 Google Scholar
Prevost, WJ, Mudge, CR, Fontenot, KK, Strahan, RE (2021) Evaluation of foliar and subsurface applications of metsulfuron-methyl for control of giant salvinia. J Aquat Plant Manag 59:1419 Google Scholar
Ramsdale, BK, Messersmith, CG (2001) Nozzle, spray volume, and adjuvant effects on carfentrazone and imazamox efficacy. Weed Technol 15:485491 CrossRefGoogle Scholar
Rashash, D (2020) Giant Salvinia Alert! N.C. Cooperative Extension, Onslow County Center. http://go.ncsu.edu/readext?736346. Accessed: August 29, 2022Google Scholar
R Core Team (2020) R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria. https://www.R-project.org. Accessed: April 20, 2020Google Scholar
Richardson, RJ, Roten, RL, West, AM, True, SL, Gardner, AP (2008) Response of selected aquatic invasive weeds to flumioxazin and carfentrazone-ethyl. J Aquat Plant Manag 46:144158 Google Scholar
Sartain, BT, Mudge, CR (2018a) Effect of winter herbicide applications on bald cypress (Taxodium distichum) and giant salvinia (Salvinia molesta). Invasive Plant Sci Manag 11:136142 CrossRefGoogle Scholar
Sartain, BT, Mudge, CR (2018b) Evaluation of 12 foliar applied non-aquatic herbicides for efficacy against giant salvinia (Salvinia molesta). J Aquat Plant Manag 56:107112 Google Scholar
Sartain, BT, Mudge, CR (2019) The response of giant salvinia to foliar herbicide applications at three winter timings. J Aquat Plant Manag 57:16 Google Scholar
Schardt, J, Netherland, MD (2020) Chemical control of aquatic weeds. Pages 163178 in Gettys, LA, Haller, WT, Petty, DG, eds. Biology and Control of Aquatic Plants: A Best Management Practices Handbook. 4th ed. Marietta, GA: Aquatic Ecosystem Restoration FoundationGoogle Scholar
Shaner, DL (2014) Herbicide Handbook. 10th ed. Lawrence, KS: Weed Science Society of America. 513 pGoogle Scholar
Sperry, BP, Ferrell, JA (2021) Effect of carrier volume and application method on waterhyacinth (Eichhornia crassipes) response to 2,4-D, glyphosate, and diquat. Invasive Plant Sci Manag 14:2934 CrossRefGoogle Scholar
Sperry, BP, Mudge, CR, Getsinger, KD (2022) Simulated herbicide spray retention on floating aquatic plants as affected by carrier volume and adjuvant type. Weed Technol 36:5663 CrossRefGoogle Scholar
Thomas, PA, Room, PM (1986) Taxonomy and control of Salvinia molesta . Nature 320:581584 CrossRefGoogle Scholar
Van, TK, Vandiver, VV, Conant, RD (1986) Effect of herbicide rate and carrier volume on glyphosate phytotoxicity. J Aquat Plant Manag 24:6669 Google Scholar
Wahl, CF, Mudge, CR, Diaz, R (2018) Does the aquatic herbicide 2,4-D and a nonionic surfactant affect survival of salvinia weevil? J Aquat Plant Manag 56:113119 Google Scholar
Wang, G, Lan, Y, Qi, H, Chen, P, Hewitt, A, Han, Y (2019) Field evaluation of an unmanned aerial vehicle (UAV) sprayer: effect of spray volume on deposition and the control of pests and disease in wheat. Pest Manag Sci 75:15461555 CrossRefGoogle ScholarPubMed
Wersal, RM, Madsen, JD (2010) Combinations of penoxsulam and diquat as foliar applications for control of waterhyacinth and common salvinia: evidence of herbicide antagonism. J Aquat Plant Manag 48:2125 Google Scholar
Westbrooks, R (2010) Giant Salvinia. Oversight Hearing on Efforts to Control and Eradicate Giant Salvinia. https://www.doi.gov/ocl/hearings/112/GiantSalvinia_062711. Accessed: August 25, 2022Google Scholar
Wickham, H, Francois, R, Henry, L, Muller, K (2021) dplyr: A Grammar of Data Manipulation. R Package Version 1.0.4. https://CRAN.R-project.org/package=dplyr. Accessed: April 27, 2022Google Scholar
Willard, TR, Shilling, DG, Haller, WT, Langeland, KA (1998) Physico-chemical factors influencing the control of torpedograss with glyphosate. J Aquat Plant Manag 36:1115 Google Scholar
Xue, X, Lan, Y, Zhu, S, Chun, C, Hoffman, WC (2016) Develop an unmanned aerial vehicle based automatic aerial spraying system. Comput Electron Agric 128:5866 CrossRefGoogle Scholar
Figure 0

Figure 1. Map of the Salvinia molesta infestation site at Gapway Swamp (Columbus County, NC; 34.21°N, 78.94°W) and study locations used for the three field trials conducted during the summer of 2021 (A). Salvinia molesta (dark brown foliage) completely occupied all open water within the Taxodium distichum (gray foliage) swamp as depicted in the January 23, 2021, satellite image. Field Trial 3 was conducted at the beaver pond (B; pretreatment aerial image captured July 20, 2021), while field Trials 1 and 3 were conducted at the farm pond (C; pretreatment aerial image captured June 30, 2021).

Figure 1

Table 1. Herbicides evaluated in the three field trials (Gapway Swamp, NC) examining the control of Salvinia molesta under low carrier volume applications in 2021.

Figure 2

Figure 2. Example workflow developed to evaluate Salvinia molesta response to various foliar herbicide applications in Trial 2 captured from aerial imagery at 8 wk after treatment (WAT). Abbreviations of herbicides listed under the original RGB image indicate M0.5, metsulfuron-methyl (21 g ai ha−1); F, flumioxazin (210 g ai ha−1); F+G, flumioxazin (210 g ai ha−1) + glyphosate (4,539 g ae ha−1); N, nontreated; M1.0, metsulfuron-methyl (42 g ai ha−1); C+P, carfentrazone (67 g ai ha−1) + penoxsulam (70 g ai ha−1); C, carfentrazone (67 g ai ha−1); G, glyphosate (4,539 g ae ha−1); and D, diquat (3,136 g ai ha−1). Percentages listed under the cropped plot images represent visually estimated control values of each respective experimental unit. Percentages listed under the binary images (black and white) illustrate fractional green canopy cover (FGCC) calculated from the cropped images in ImageJ software.

Figure 3

Table 2. Visually estimated control, fractional green canopy cover (FGCC), and dry weights (±SE) of Salvinia molesta following foliar herbicide applications in Trial 1 at the farm pond (Gapway Swamp, NC).

Figure 4

Table 3. Visually estimated control, fractional green canopy cover (FGCC), and dry weights (±SE) of Salvinia molesta following foliar herbicide applications via backpack and unoccupied aerial application systems in Trial 2 at the farm pond (Gapway Swamp, NC).

Figure 5

Table 4. Visually estimated control, fractional green canopy cover (FGCC), and dry weights (±SE) of Salvinia molesta following select sequential foliar herbicide applications overtop plants treated 6 wk prior with fluridone at the beaver pond (Gapway Swamp, NC).