Hostname: page-component-6766d58669-bkrcr Total loading time: 0 Render date: 2026-05-16T13:51:44.047Z Has data issue: false hasContentIssue false

Assessment of dicamba and 2,4-D residues in Palmer amaranth and soybean

Published online by Cambridge University Press:  04 September 2023

Maria Leticia Zaccaro-Gruener*
Affiliation:
Graduate Research Assistant, University of Arkansas System Division of Agriculture, Fayetteville, AR, USA
Jason K. Norsworthy
Affiliation:
Distinguished Professor and Elms Farming Chair of Weed Science, University of Arkansas System Division of Agriculture, Fayetteville, AR, USA
Leonard B. Piveta
Affiliation:
Research Scientist, University of Arkansas System Division of Agriculture, Fayetteville, AR, USA
L. Tom Barber
Affiliation:
Professor and Extension Weed Scientist, University of Arkansas System Division of Agriculture, Lonoke, AR, USA
Andy Mauromoustakos
Affiliation:
Professor, Agricultural Statistics Laboratory, University of Arkansas, Fayetteville, AR, USA
*
Corresponding author: Maria Leticia Zaccaro-Gruener; Email: mzaccaro@uark.edu
Rights & Permissions [Opens in a new window]

Abstract

Off-target movement of 2,4-D and dicamba is sometimes to blame as the cause of symptoms observed in weeds growing in production fields. Pesticide regulatory authorities routinely sample tissues of weeds or crops from fields under investigation for potential illegal use of auxin herbicides. This research aimed to determine if analytical tests of herbicide residue on soybean or Palmer amaranth vegetation treated with dicamba or 2,4-D could be used to differentiate between rates applied and how the residue levels decay over a 1-mo interval. Four rates of each herbicide (1X, 0.1X, 0.01X, and 0.001X) were applied, with a 1X rate of dicamba and 2,4-D assumed to be 560 and 1,065 g ae ha−1, respectively. Experiments included dicamba- and 2,4-D-resistant soybean (Xtend® and Enlist® traits, respectively) and Palmer amaranth categorized by size (8 to 15 cm, 20 to 30 cm, and 35 to 50 cm in height). Analytical results show that herbicide residues were detected above detection limits of 0.04 µg g−1 for dicamba and 0.004 µg g−1 for 2,4-D, respectively, particularly for samples treated with a 1X and 0.1X rate of dicamba or 2,4-D. Nondetections were frequent, even as early as 2 to 3 d after treatment (DAT), with 0.01X and 0.001X rates of 2,4-D or dicamba. Residues declined rapidly on Xtend® soybean treated with dicamba and on Enlist® soybean treated with 2,4-D. The severity of auxin symptomology generally agreed with the ability to detect dicamba or 2,4-D residue in plant tissue for Palmer amaranth, whereas for soybean, this was not always the case. Hence detecting dicamba or 2,4-D residues in both Palmer amaranth and soybean vegetation, along with visible symptoms on both plants during investigations, would generally indicate an earlier direct application of the auxin herbicide rather than off-target movement being the cause of detection.

Information

Type
Research Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2023. Published by Cambridge University Press on behalf of the Weed Science Society of America
Figure 0

Figure 1. The total number of official complaints filed with the Arkansas State Plant Board of alleged plant damage related to the off-target movement of dicamba or 2,4-D in Arkansas from 2000 to 2022. Data are from the Arkansas Department of Agriculture, Pesticide Division, 2022.

Figure 1

Figure 2. Distribution of 2,4-D residue (µg g−1) detected in Palmer amaranth over time after treatment with 2,4-D at 1X, 0.1X, 0.01X, and 0.001X rates (blue, orange, gray, and yellow boxes, respectively), with 1X being 1,065 g ae ha−1, averaged over plant size at the application in 2019 (A) and 2020 (B). 2,4-D residue in 2019 regressed as a function of time after application using the equations Y1X = exp(4.52 − 0.33X) (generalized R2 = 0.74), Y0.1X = exp(2.11 − 0.73X) (generalized R2 = 0.83), and Y0.01X = exp(−0.46 − 1.55X) (generalized R2 = 0.77); the relationship for the 0.001X treatment was not significant. 2,4-D residue in 2020 regressed as a function of time after application using the equations Y1X = exp(4.66 − 0.24X) (generalized R2 = 0.55), Y0.1X = exp(1.79 − 0.33X) (generalized R2 = 0.67), Y0.01X = exp(−0.16 − 0.98X) (generalized R2 = 0.71), and Y0.001X = exp(−3.03 − 0.60X) (generalized R2 = 0.64).

Figure 2

Figure 3. Daily results of observed average air temperature (C) and accumulated rainfall (mm) from the application until the day of the last collection of Palmer amaranth or soybean tissue samples made in Fayetteville, AR, from 2019 to 2021.

Figure 3

Figure 4. Distribution of dicamba residue (µg g−1) in Palmer amaranth detected over time after treatment with dicamba at 1X, 0.1X, 0.01X, and 0.001X rates (blue, orange, gray, and yellow boxes, respectively), with 1X being 560 g ae ha−1, averaged over plant size at the application in 2019 (A) and 2020 (B). Dicamba residue in 2019 regressed as a function of time after application using the equations Y1X = exp(4.16 − 0.26X) (generalized R2 = 0.62), Y0.1X = exp(1.61 − 0.22X) (generalized R2 = 0.67), and Y0.01X = exp(−0.45 − 0.41X) (generalized R2 = 0.72); the relationship for the 0.001X treatment was not significant. Dicamba residue in 2020 regressed as a function of time after application using the equations Y1X = exp(3.35 − 0.18X) (generalized R2 = 0.60), Y0.1X = exp(1.37 − 0.12X) (generalized R2 = 0.36), Y0.01X = exp(−0.95 − 0.54X) (generalized R2 = 0.51), and Y0.001X = exp(−0.72 − 1.57X) (generalized R2 = 0.32).

Figure 4

Figure 5. Palmer amaranth 5 d after treatment with dicamba at 560 g ae ha−1 (A), 56 g ae ha−1 (B), 5.6 g ae ha−1 (C), and 0.56 g ae ha−1 (D) and with 2,4-D at 1,065 g ae ha−1 (E), 106.5 g ae ha−1 (F), 10.65 g ae ha−1 (G), and 1.065 g ae ha−1 (H) in 2020.

Figure 5

Figure 6. Small, medium, and large Palmer amaranth (which corresponded to 8 to 15 cm, 20 to 30 cm, and 35 to 50 cm in height at application) at 10 d after treatment with dicamba at 560 g ae ha−1 (A–C, respectively), 56 g ae ha−1 (D–F, respectively), and 5.6 g ae ha−1 (G–I, respectively) in 2020.

Figure 6

Figure 7. Distribution of dicamba residue (µg g−1) in Enlist® (A) and Xtend® (B) soybean detected over time after application with dicamba at 1X, 0.1X, 0.01X, and 0.001X rates (blue, orange, gray, and yellow boxes, respectively) in 2020, with 1X being 560 g ae ha−1. Dicamba residue in Enlist® soybean in 2020 regressed as a function of time after application using the equations Y1X = exp(3.99 − 0.66X) (generalized R2 = 0.83) and Y0.1X = exp(1.39 − 3.31X) (generalized R2 = 0.62). Dicamba residue in Xtend® soybean in 2020 regressed as a function of time after application using the equations Y1X = exp(3.35 − 3.18X) (generalized R2 = 0.81) and Y0.1X = exp(0.95 − 3.01X) (generalized R2 = 0.63). Relationships were not significant for Enlist® or Xtend® soybean treated with dicamba at ≤0.01X.

Figure 7

Figure 8. Distribution of dicamba residue (µg g−1) in Enlist® (A) and Xtend® (B) soybean detected over time after application with dicamba at 1X, 0.1X, 0.01X, and 0.001X rates (blue, orange, gray, and yellow boxes, respectively) in 2021, with 1X being 560 g ae ha−1. Dicamba residue in Enlist® soybean in 2021 regressed as a function of time after application using the equations Y1X = exp(3.67 − 0.19X) (generalized R2 = 0.41) and Y0.1X = exp(−0.70 − 0.16X) (generalized R2 = 0.24). Dicamba residue in Xtend® soybean in 2021 regressed as a function of time after application using the equation Y1X = exp(2.43 − 0.82X) (generalized R2 = 0.71). Relationships were not significant for Enlist® or Xtend® soybean treated with dicamba at ≤0.01X and at ≤0.1X, respectively.

Figure 8

Figure 9. Distribution of 2,4-D residue (µg g−1) in Enlist® (A) and Xtend® (B) soybean detected over time after application with 2,4-D at 1X, 0.1X, 0.01X, and 0.001X rates (blue, orange, gray, and yellow boxes, respectively) in 2020, with 1X being 1,065 g ae ha−1. 2,4-D residue in Enlist® soybean in 2020 regressed as a function of time after application using the equations Y1X = exp(3.89 − 0.51X) (generalized R2 = 0.77) and Y0.1X = exp(1.19 − 0.74X) (generalized R2 = 0.58). 2,4-D residue in Xtend® soybean in 2020 regressed as a function of time after application using the equations Y1X = exp(5.72 − 0.35X) (generalized R2 = 0.60) and Y0.1X = exp(1.25 − 0.99X) (generalized R2 = 0.80). Relationships were not significant for Enlist® or Xtend® soybean treated with 2,4-D at ≤0.01X.

Figure 9

Figure 10. Distribution of 2,4-D residue (µg g−1) in Enlist® (A) and Xtend® (B) soybean detected over time after application with 2,4-D at 1X, 0.1X, 0.01X, and 0.001X rates (blue, orange, gray, and yellow boxes, respectively) in 2021, with 1X being 1,065 g ae ha−1. 2,4-D residue in Enlist® soybean in 2021 regressed as a function of time after application using the equations Y1X = exp(5.41 − 0.69X) (generalized R2 = 0.77) and Y0.1X = exp(1.14 − 1.20X) (generalized R2 = 0.76). 2,4-D residue in Xtend® soybean in 2021 regressed as a function of time after application using the equations Y1X = exp(5.94 − 0.38X) (generalized R2 = 0.87) and Y0.1X = exp(1.89 − 0.44X) (generalized R2 = 0.74). Relationships were not significant for Enlist® or Xtend® soybean treated with 2,4-D at ≤0.01X.

Figure 10

Figure 11. Nontreated Xtend® (A) and Enlist® (B) plots and treatments with dicamba at 560, 56, 5.6, and 0.56 g ae ha−1 on Xtend® (C, E, G, and I, respectively) and on Enlist® soybean (D, F, H, and J, respectively) 3 d after treatment in 2021.

Figure 11

Figure 12. Nontreated Xtend® (A) and Enlist® (B) plots and treatments with 2,4-D at 1,065, 106.5, 10.65, and 1.065 g ae ha−1 on Xtend® (C, E, G, and I, respectively) and on Enlist® soybean (D, F, H, and J, respectively) 3 d after treatment in 2021.

Supplementary material: File

Zaccaro-Gruener et al. supplementary material

Zaccaro-Gruener et al. supplementary material

Download Zaccaro-Gruener et al. supplementary material(File)
File 39.7 KB