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Effect of simulated synthetic auxin herbicide sprayer contamination in sweetpotato propagation beds

Published online by Cambridge University Press:  13 April 2022

Thomas M. Batts
Affiliation:
County Extension Agent, North Carolina Cooperative Extension—Wilson County Center, Wilson, NC, USA
Levi D. Moore
Affiliation:
Graduate Student, Department of Horticultural Science, North Carolina State University, Raleigh, NC, USA
Stephen J. Ippolito*
Affiliation:
Graduate Student, Department of Horticultural Science, North Carolina State University, Raleigh, NC, USA
Katherine M. Jennings
Affiliation:
Associate Professor, Department of Horticultural Science, North Carolina State University, Raleigh, NC, USA
Stephen C. Smith
Affiliation:
Graduate Student, Department of Horticultural Science, North Carolina State University, Raleigh, NC, USA
*
Author for correspondence: Stephen J. Ippolito, Department of Horticultural Science, North Carolina State University, 2721 Founders Drive, Raleigh, NC27965. Email: sjippoli@ncsu.edu
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Abstract

Field studies were conducted to determine the effects of synthetic auxin herbicides at simulated exposure rates applied to ‘Covington’ sweetpotato propagation beds on the quality of nonrooted stem cuttings (slips). Treatments included diglycolamine salt of dicamba, 2,4-D choline plus nonionic surfactant (NIS), and 2,4-D choline plus glyphosate at 1/10, 1/33, or 1/66 of a 1X application rate (560 g ae ha−1 dicamba, 1,065 g ae ha−1 2,4-D choline, 1,130 g ae ha−1 glyphosate) applied at 2 or 4 wk after first slip harvest (WASH). Injury to sweetpotato 2 wk after treatment was greatest when herbicides were applied 2 WASH (21%) compared to 4 WASH (16%). More slip injury was caused by 2,4-D choline than by dicamba, and the addition of glyphosate did not increase injury over 2,4-D choline alone. Two weeks after the second application, sweetpotato slips were cut 2 cm above the soil surface and transplanted into production fields. In 2019, sweetpotato ground coverage 8 wk after transplanting was reduced 37% and 26% by the 1/10X rates of dicamba and 2,4-D choline plus NIS, respectively. Though dicamba caused less injury to propagation beds than 2,4-D choline with or without glyphosate, after transplanting, slips treated with 1/10X dicamba did not recover as quickly as those treated with 2,4-D choline. In 2020, sweetpotato ground coverage was 90% or greater for all treatments. Dicamba applied 2 WASH decreased marketable sweetpotato storage root yield by 59% compared to the nontreated check, whereas treatments including 2,4-D choline reduced marketable yield 22% to 29%. All herbicides applied at 4 WASH reduced marketable yield 31% to 36%. The addition of glyphosate to 2,4-D choline did not increase sweetpotato yield. Results indicate that caution should be taken when deciding whether to transplant sweetpotato slips that are suspected to have been exposed to dicamba or 2,4-D choline.

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), 2022. Published by Cambridge University Press on behalf of the Weed Science Society of America

Introduction

As a result of increases in glyphosate-resistant weed populations, growers are relying on alternative modes of action for successful management (Duke Reference Duke2015). Because few cases of weed resistance to synthetic auxin herbicides have been reported (Busi et al. Reference Busi, Goggin, Heap, Horak, Jugulam, Masters, Napier, Riar, Satchivi, Torra, Westra and Wright2018), they are used as an alternative to glyphosate for controlling resistant biotypes. In 2019, 2,4-D and dicamba were applied to 35% and 45% of U.S. cotton, respectively (USDA 2020). In 2018, 26% of North Carolina’s soybean hectares were dicamba-tolerant (Wechsler et al. Reference Wechsler, Smith, McFadden, Dodson and Williamson2019). The same year, 1% of non-dicamba-tolerant soybean fields in North Carolina exhibited symptoms attributable to off-target injury from dicamba (Wechsler et al. Reference Wechsler, Smith, McFadden, Dodson and Williamson2019). Synthetic auxin herbicides are prone to volatilization and subsequent off-target movement (Behrens and Lueschen Reference Behrens and Lueschen1979; Rensburg and Breeze Reference Rensburg and Breeze1990). Thus supplemental application restrictions have been placed on synthetic auxin herbicides in an attempt to prevent off-target movement. In addition, synthetic auxin herbicide residue can remain in spray equipment and injure subsequently treated nontarget crops (Boerboom Reference Boerboom2004; Inman et al. Reference Inman, Vann, Fisher, Gannon, Jordan and Jennings2020). Inman et al. (Reference Inman, Vann, Fisher, Gannon, Jordan and Jennings2020) reported notable concentrations of residual dicamba even after sequential tank rinses.

In 2020, the United States produced 63,500 ha of sweetpotato (USDA-NASS 2020). North Carolina is the largest producer of sweetpotato in the United States, accounting for 67% of the harvested area (USDA-NASS 2020). Sweetpotato is a high-value crop, with a production value of US$726 million and US$375 million in the United States and North Carolina, respectively (USDA-NASS 2020). Sweetpotato is susceptible to injury from synthetic auxin herbicides, with Batts et al. (Reference Batts, Miller, Griffin, Villordon, Stephenson, Jennings, Chaudhari, Blouin, Copes and Smith2020a, Reference Batts, Miller, Griffin, Villordon, Stephenson, Jennings, Chaudhari, Blouin, Copes and Smith2020b) reporting a reduction in ‘Beauregard’ sweetpotato yield with increasing rates (1/1,000 to 1/10X) of 2,4-D choline and N,N-Bis(3-aminopropyl)methylamine (BAPMA) and diglycolamine (DGA) salt of dicamba when applied both alone and in combination with glyphosate 30 d after transplanting (DAP). Miller et al. (Reference Miller, Batts, Copes and Blouin2020) also observed a decrease in ‘Beauregard’ sweetpotato yield with increasing rates (1/100 to 1/10X) of 2,4-D choline or DGA salt of dicamba when applied in combination with glyphosate at 30 DAP. Dicamba plus glyphosate applied at 1/100 to 1/33X increased injury by a difference of 11 to 12 percentage points compared to 2,4-D choline plus glyphosate 2 wk after treatment (WAT); however, 1/10X 2,4-D choline plus glyphosate increased injury by a difference of 10% compared to 1/10X dicamba plus glyphosate 2 WAT (Miller et al. Reference Miller, Batts, Copes and Blouin2020).

Sweetpotato production fields in the United States are propagated vegetatively and started from transplanted nonrooted stem cuttings (slips) (Smith et al. Reference Smith, Stoddard, Shankle, Schultheis, Loebenstein and Thottappilly2009). Slips are grown from sweetpotato storage roots buried 6 to 8 cm deep in 1-m-wide beds (propagation beds). After planting, propagation beds are covered with clear polyethylene mulch. After the last spring frost, the polyethylene cover is removed, and sweetpotato shoots emerge. Once slips are approximately 30 cm long, they are cut above the soil line and transplanted into production fields (Thompson et al. Reference Thompson, Schultheis, Chaudhari, Monks, Jennings and Grabow2017). Slips in propagation beds will regrow and are harvested two to three times per season.

Prior research has evaluated the effect of reduced rates of dicamba and 2,4-D choline with or without glyphosate in ‘Beauregard’ sweetpotato production fields; however, no research has evaluated off-target applications to ‘Covington,’ the primary sweetpotato cultivar grown in North Carolina (NCDACS 2015). In addition, research is needed to support the decision-making process for transplanting sweetpotato cuttings exposed to synthetic auxin herbicides. Therefore studies were conducted to determine the effect of simulated synthetic auxin herbicide exposure in ‘Covington’ sweetpotato propagation beds.

Materials and Methods

Propagation Beds

Sweetpotato propagation beds were located on a commercial farm in Springhill, NC, in 2019 (35.638°N, 78.098°W) and 2020 (35.632°N, 78.093°W). Soil was a Norfolk loamy sand (fine-loamy, kaolinitic, thermic Typic Kandiudult) with pH 6 and <1% organic matter. ‘Covington’ sweetpotato storage roots were placed in field propagation beds (1 m wide and spaced 1.8 m apart) on March 15, 2019, and March 7, 2020, then covered with 6 to 8 cm of soil. Beds were covered with clear polyethylene mulch, which remained until sweetpotato plants emerged.

The experimental design for each study was a randomized complete block with four replications. Plots were a single row 1.5 m long. Treatments were arranged in a 3 (herbicide) × 3 (herbicide rate) × 2 (application timing) factorial. Herbicide treatments and application rates included DGA salt of dicamba, 2,4-D choline plus 0.25% vol/vol nonionic surfactant (NIS) (Induce®, Helena Agri-Enterprises LLC, Collierville, TN, USA), or 2,4-D choline plus glyphosate at 1/10, 1/33, or 1/66 of a registered rate (Table 1), respectively. The 1X rate was 560 g ae ha−1 dicamba, 1,065 g ae ha−1 2,4-D, or 1,065 g ae ha−1 2,4-D plus 1,130 g ae ha−1 glyphosate. In addition, a nontreated check was included for comparison. Treatments were applied 2 or 4 wk after first slip harvest (WASH) using a CO2-pressurized backpack sprayer calibrated to deliver 187 L ha−1 at 200 kPa with a boom equipped with two flat-fan XR 11002VS nozzles (TeeJet® 11002; TeeJet Technologies, Wheaton, IL, USA) spaced 50 cm apart. Slips were approximately 22 and 30 cm in height 2 and 4 WASH, respectively. Data collection included estimates of sweetpotato injury 2 WAT using a scale of 0% (no injury) to 100% (plant death) (Frans et al. Reference Frans, Talbert, Marx, Crowley and Camper1986). Two weeks after the second application, 20 slips per plot were cut 2 cm above the soil surface and transplanted into sweetpotato production fields.

Table 1. Herbicides and sources used for the studies.

a Nonionic surfactant (Induce®) was included at 0.25% vol/vol.

Production Field

Field sites were located at the Horticultural Crops Research Station, Clinton, NC, in 2019 (35.024°N, 78.279°W) and at a commercial farm in Cross Roads, NC, in 2020 (35.683°N, 78.014°W). Soil at each location was a Norfolk loamy sand (fine-loamy, kaolinitic, thermic Typic Kandiudult) with a pH of 6 and <1% organic matter content. Slips were transplanted into raised beds spaced 1 m apart at an in-row spacing of 30 cm. Plots consisted of two rows each 6.1 m long, where the first row was transplanted with nontreated slips and served as a border and the second row was transplanted with slips from an assigned treatment and used for data collection. The study was maintained weed-free with a pretransplant application of flumioxazin, an in-season application of clethodim plus NIS (Table 1), between-row cultivation, and hand roguing, as needed. Data collection included sweetpotato ground coverage 8 wk after transplant. Ground coverage was estimated using a 1 m2 quadrat with strings arranged in 10 × 10 cm grids. The quadrat was centered over the data row of each plot, then a photograph was taken over top of the quadrat. Images were assessed to count grid intersections containing foliage. The percent reduction in sweetpotato canopy ground cover was calculated as the number of string intersections with foliage divided by the total number of string intersections multiplied by 100 and subtracted from the percent ground coverage of the nontreated check. Sweetpotato storage roots were harvested using a chain digger 119 DAP in 2019 and a turn plow 112 DAP in 2020; hand sorted into canner (>2.5 to 4.4 cm diameter), number (no.) 1 (>4.4 to 8.9 cm), and jumbo (>8.9 cm) grades (USDA 2005); and weighed. Marketable yield was calculated as the sum of no. 1 and jumbo grades.

Statistical Analysis

Data were assessed for homogeneity of variance by examining residual plots. Arcsine square root transformations were required for percent ground cover data. Back-transformed means are presented. Analysis of variance was conducted using proc glimmix in SAS, version 9.4 (SAS Institute, Cary, NC, USA) with a significance level of α = 0.05. Fixed effects included year, herbicide, rate, application timing, and their interactions, whereas replication nested within year was considered a random effect. Rate responses could not be appropriately described using regression analysis; thus all means were separated using Tukey’s honestly significant difference (HSD) at a significance level of α = 0.05.

Results and Discussion

Propagation Bed Injury

Injury to sweetpotato slips appeared as epinasty, leaf cupping, stem swelling and cracking, and stunting. A significant (P < 0.0001) herbicide × rate interaction was present for sweetpotato propagation bed injury. No other significant interactions were present. Sweetpotato slip injury 2 WAT was slightly greater (P < 0.0001) when herbicides were applied 2 (21%) compared to 4 WASH (16%) (data not shown). Treatments including 1/10X 2,4-D choline caused the greatest injury to propagation bed plants (37% and 39%), and the addition of glyphosate to 2,4-D did not increase injury at any rate applied (Table 2). These data differ from injury observed in previous studies in production fields. Batts et al. (Reference Batts, Miller, Griffin, Villordon, Stephenson, Jennings, Chaudhari, Blouin, Copes and Smith2020a) reported that the addition of glyphosate to 2,4-D at the 1/10X rate increased ‘Beauregard’ sweetpotato injury 2 WAT by 12 percentage points compared to 2,4-D alone when applied in production fields; however, NIS was not included in treatments. Injury in the present study was less than 64% or 74% injury 2 WAT reported by Miller et al. (Reference Miller, Batts, Copes and Blouin2020) from 1/10X 2,4-D choline plus glyphosate or dicamba plus glyphosate, respectively, applied in sweetpotato production fields.

Table 2. Sweetpotato injury 2 wk after treatment as affected by dicamba, 2,4-D, and 2,4-D plus glyphosate applied at simulated exposure rates to sweetpotato in propagation beds in North Carolina in 2019 and 2020.a,b,c

a Injury was characterized as epinasty, leaf cupping, and stem swelling and cracking.

b Data were pooled across years and application timings (2 or 4 wk after the first slip harvest).

c Means within a column followed by the same letter are not significantly different according to Tukey’s honestly significant difference, α = 0.05.

d The 1X rate was 560 g ae ha−1 dicamba, 1,065 g ae ha−1 2,4-D, or 1,065 g ae ha−1 2,4-D plus 1,130 g ae ha−1 glyphosate.

e Rating scale: 0%, no treatment effect; 100%, plant death.

f Nonionic surfactant (0.25% vol/vol) was included.

Production Field

Sweetpotato Ground Coverage

Analysis indicated a significant application timing × rate interaction (P = 0.01); no other interactions, including application timing, were significant (P > 0.05). At the 1/66 (4% and 3%) and 1/10X (11% and 16%) rates, application timing did not have a significant effect on ground coverage (Table 3); however, the 1/33X rate reduced sweetpotato ground coverage more when applied 2 WASH compared to 4 WASH (11 vs 3%). The year × herbicide × rate interaction was significant (P = 0.03); therefore the herbicide × rate interaction was assessed by year. The 1/66 and 1/33X rates cased 12% or less reduction in sweetpotato ground coverage for all herbicides (Table 4). In 2019, 1/10X dicamba and 2,4-D choline plus NIS reduced ground coverage 37% and 26%, respectively. The addition of glyphosate to 2,4-D choline did not reduce ground coverage compared to 2,4-D choline plus NIS. In 2020, sweetpotato ground coverage was 90% or greater for all treatments. Though 1/10X dicamba caused less injury to propagation beds than 1/10X 2,4-D or 2,4-D choline plus glyphosate, after transplanting, slips that were treated with 1/10X dicamba recovered as slowly as or slower than those treated with 2,4-D. However, Miller et al. (Reference Miller, Batts, Copes and Blouin2020) reported that ‘Beauregard’ sweetpotato injury rates from 1/10X and 1/33X rates of 2,4-D choline plus glyphosate and dicamba plus glyphosate applied in production fields were similar 5 WAT.

Table 3. Effect of application timing and rate of dicamba, 2,4-D, and 2,4-D plus glyphosate applied to sweetpotato propagation beds on sweetpotato ground coverage 8 wk after transplanting to production fields in Clinton and Cross Roads, North Carolina, 2019 and 2020.a,b,c

a Means within a column followed by the same letter are not significantly different according to Tukey’s honestly significant difference, α = 0.05.

b Data were pooled across years and herbicide.

c Abbreviation: WASH, weeks after first slip harvest.

d The 1X rate was 560 g ae ha−1 dicamba, 1,065 g ae ha−1 2,4-D, or 1,065 g ae ha−1 2,4-D plus 1,130 g ae ha*1 glyphosate.

Table 4. Effect of dicamba, 2,4-D, and 2,4-D plus glyphosate applied at simulated exposure rates to sweetpotato propagation beds on sweetpotato ground coverage 8 wk after transplanting to production fields in North Carolina.a,b

a Means within a column followed by the same letter are not significantly different according to Tukey’s honestly significant difference, α = 0.05. Means within a column not followed by a letter are not significantly different according to a nonsignificant F statistic (P > 0.05).

b Data were pooled across application timings (2 or 4 wk after the first slip harvest).

c The 1X rate was 560 g ae ha−1 dicamba, 1,065 g ae ha−1 2,4-D, or 1,065 g ae ha−1 2,4-D plus 1,130 g ae ha−1 glyphosate.

d Nonionic surfactant (0.25% vol/vol) was included.

Yield

Only application timing × herbicide (P ≤ 0.004) and application timing × rate (P ≤ 0.001) interactions were significant for marketable and no. 1 yield data. No significant effects or interactions were present for jumbo-grade yield data. In 2019 and 2020, marketable yields from the nontreated check were 30,327 and 46,923 kg ha−1, respectively; no. 1 yield was 22,127 and 40,679 kg ha−1, respectively. Dicamba applied 2 WASH decreased marketable yield by 59%, whereas treatments including 2,4-D choline decreased marketable yield 22% to 29% (Table 5). All herbicides applied 4 WASH reduced marketable yield 31% to 36%. The addition of glyphosate to 2,4-D choline did not affect sweetpotato yield compared to 2,4-D choline plus NIS. All herbicide rates applied 2 WASH reduced marketable yield 33% to 39%. At 4 WASH, increasing the application rate from 1/66X to 1/10X decreased marketable yield by 36%. In previous research, dicamba plus glyphosate or 2,4-D choline plus glyphosate reduced total ‘Beauregard’ sweetpotato yield 0% to 66% from 1/66X to 1/10X rates, respectively, when applied in sweetpotato production fields (Miller et al. Reference Miller, Batts, Copes and Blouin2020). All treatments in the present study were applied after the initial slip harvest; however, sweetpotato injury from auxin exposure in newly emerged propagation beds may differ. Thus additional research should evaluate the effects of auxin exposure at various propagation bed growth stages.

Table 5. Effect of dicamba, 2,4-D, and 2,4-D plus glyphosate applied to sweetpotato propagation beds at simulated exposure rates on production field storage root yield in Clinton and Cross Roads, North Carolina, 2019 and 2020.a,b,c,d

a Sweetpotato storage roots were hand graded into canner (>2.5 to 4.4 cm diameter), number (no.) 1 (>4.4 to 8.9 cm), jumbo (>8.9 cm), and marketable (sum of no. 1 and jumbo grades) yield.

b Means within a column and dependent variable followed by the same letter are not significantly different according to Tukey’s honestly significant difference, α = 0.05.

c Data were pooled across application rates.

d Abbreviation: WASH, weeks after first slip harvest.

e Data were pooled across years.

f Treatments were applied 2 or 4 wk after first slip harvest.

g Nonionic surfactant (0.25% vol/vol) was included with the 2,4-D treatment.

h Data were pooled across herbicides.

i The 1X rate was 560 g ae ha−1 dicamba, 1,065 g ae ha−1 2,4-D, or 1,065 g ae ha−1 2,4-D plus 1,130 g ae ha−1 glyphosate.

The rates used in the present study ranged from 1/66X to 1/10X; however, herbicide drift from an adjacent field is generally expected to occur at rates less than 1/100X (Egan et al. Reference Egan, Barlow and Mortensen2014). In addition, carrier volumes are much lower in drift situations and should also be reduced (Banks and Schroeder Reference Banks and Schroeder2002). Inman et al. (Reference Inman, Vann, Fisher, Gannon, Jordan and Jennings2020) reported that insufficient sprayer tank cleanout can leave 19% (approximately 1/5X rate) or 4% (1/25X rate) of the initial dicamba concentration from one or two tank rinses, respectively. Thus the present study gives better insight into nontarget applications from tank contamination events rather than drift events. Sweetpotato slips treated with a 1/66X rate resulted in 11% or less injury in the propagation bed but still decreased marketable yield by ≥16%. Therefore caution should be taken when deciding to transplant sweetpotato slips that are suspected to have been exposed to synthetic auxin herbicides.

Acknowledgments

The authors thank the NC College of Agriculture and Life Sciences at North Carolina State University and North Carolina SweetPotato Commission for funding these studies and Sullivan Farms for providing propagation beds, field space, and sweetpotato management. The authors also thank Colton Blankenship, Chitra, Norman Harrell, Brandon Parker, Lisa Rayburn, Kira Sims, Allan Thornton, and the staff at the North Carolina Department of Agriculture and Consumer Services’ Horticultural Crops Research Station at Clinton for aiding in the management of this experiment. No conflicts of interest have been declared.

Footnotes

Associate Editor: Mark VanGessel, University of Delaware

References

Banks, PA, Schroeder, J (2002) Carrier volume affects herbicide activity in simulated spray drift studies. Weed Technol 16:833837 CrossRefGoogle Scholar
Batts, TM, Miller, DK, Griffin, JL, Villordon, AO, Stephenson, DO, Jennings, KM, Chaudhari, S, Blouin, DC, Copes, JT, Smith, TP (2020a) Impact of reduced rates of 2,4-D and glyphosate on sweetpotato growth and yield. Weed Technol 35:2734 CrossRefGoogle Scholar
Batts, TM, Miller, DK, Griffin, JL, Villordon, AO, Stephenson, DO, Jennings, KM, Chaudhari, S, Blouin, DC, Copes, JT, Smith, TP (2020b) Impact of reduced rates of dicamba and glyphosate on sweetpotato growth and yield. Weed Technol 35:2734 CrossRefGoogle Scholar
Behrens, R, Lueschen, WE (1979) Dicamba volatility. Weed Sci 27:486493 CrossRefGoogle Scholar
Boerboom, C (2004) Field case studies of dicamba movement to soybeans. Proceedings of the Wisconsin Fertilizer, Aglime, and Pest Management Conference. Madison, WI.Google Scholar
Busi, R, Goggin, DE, Heap, IM, Horak, MJ, Jugulam, M, Masters, RA, Napier, RM, Riar, DS, Satchivi, NM, Torra, J, Westra, P, Wright, TR (2018) Weed resistance to synthetic auxin herbicides. Pest Manag Sci 74:22652276 CrossRefGoogle ScholarPubMed
Duke, SO (2015) Perspectives on transgenic, herbicide-resistant crops in the United States almost 20 years after introduction. Pest Manag Sci 71:652657 CrossRefGoogle ScholarPubMed
Egan, JF, Barlow, KM, Mortensen, DA (2014) A meta-analysis on the effects of 2,4-D and dicamba drift on soybean and cotton. Weed Sci 62:193206 CrossRefGoogle Scholar
Frans, RE, Talbert, RE, Marx, D, Crowley, H (1986) Experimental design and techniques for measuring and analyzing plant responses to weed control practices. Pages 2946 in Camper, ND, ed. Research Methods in Weed Science. 3rd ed. Champaign, IL: Southern Weed Science Society Google Scholar
Inman, MD, Vann, MC, Fisher, LR, Gannon, TW, Jordan, DL, Jennings, KM (2020) Evaluation of dicamba retention in spray tanks and its impacts on flue-cured tobacco. Weed Technol 35:3542 CrossRefGoogle Scholar
Miller, DK, Batts, TM, Copes, JT, Blouin, DC (2020) Reduced rates of glyphosate in combination with 2,4-D and dicamba impact sweetpotato yield. HortTechnology 30:385390 CrossRefGoogle Scholar
[NCDACS] North Carolina Department of Agriculture and Consumer Services (2015) Research stations annual report 2015. http://www.ncagr.gov/Research/documents/2015_Annual_Report_000.pdf. Accessed: March 26, 2021Google Scholar
Rensburg, EV, Breeze, VG (1990) Uptake and development of phytotoxicity following exposure to vapour of the herbicide 14C 2,4-D butyl by tomato and lettuce plants. Environ Exp Bot 30:405414 CrossRefGoogle Scholar
Smith, TP, Stoddard, S, Shankle, M, Schultheis, J (2009) Sweet potato production in the United States. Pages 287323 in Loebenstein, G, Thottappilly, G, eds. The Sweetpotato. Dordrecht, Netherlands: Springer CrossRefGoogle Scholar
Thompson, WB, Schultheis, JR, Chaudhari, S, Monks, DW, Jennings, KM, Grabow, GL (2017) Sweetpotato transplant holding duration effects on plant survival and yield. HortTechnology 27:818823 CrossRefGoogle Scholar
[USDA] U.S. Department of Agriculture (2005) United States Standards for Grades of Sweet Potatoes. Washington, DC: U.S. Department of Agriculture Google Scholar
[USDA] U.S. Department of Agriculture (2020) Agricultural chemical usage—field crop methodology and quality measures. https://www.nass.usda.gov/Publications/Methodology_and_Data_Quality/Agricultural_Chemical_Usage_-_Field_Crops/05_2020/2020-quality-measures.pdf. Accessed: March 25, 2021Google Scholar
[USDA-NASS] U.S. Department of Agriculture–National Agricultural Statistics Service (2020) Quick stats. https://www.quickstats.nass.usda.gov/. Accessed: March 25, 2021Google Scholar
Wechsler, SJ, Smith, D, McFadden, J, Dodson, L, Williamson, S (2019) The use of genetically engineered dicamba-tolerant soybean seeds has increased quickly, benefiting adopters but damaging crops in some fields. USDA Economic Research Service. https://www.ers.usda.gov/amber-waves/. Accessed: March 25, 2021Google Scholar
Figure 0

Table 1. Herbicides and sources used for the studies.

Figure 1

Table 2. Sweetpotato injury 2 wk after treatment as affected by dicamba, 2,4-D, and 2,4-D plus glyphosate applied at simulated exposure rates to sweetpotato in propagation beds in North Carolina in 2019 and 2020.a,b,c

Figure 2

Table 3. Effect of application timing and rate of dicamba, 2,4-D, and 2,4-D plus glyphosate applied to sweetpotato propagation beds on sweetpotato ground coverage 8 wk after transplanting to production fields in Clinton and Cross Roads, North Carolina, 2019 and 2020.a,b,c

Figure 3

Table 4. Effect of dicamba, 2,4-D, and 2,4-D plus glyphosate applied at simulated exposure rates to sweetpotato propagation beds on sweetpotato ground coverage 8 wk after transplanting to production fields in North Carolina.a,b

Figure 4

Table 5. Effect of dicamba, 2,4-D, and 2,4-D plus glyphosate applied to sweetpotato propagation beds at simulated exposure rates on production field storage root yield in Clinton and Cross Roads, North Carolina, 2019 and 2020.a,b,c,d