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Effect of herbicide application timing and sequence on waterhemp (Amaranthus tuberculatus) and common lambsquarters (Chenopodium album) control, Enlist E3® soybean yield, and economic returns

Published online by Cambridge University Press:  30 June 2025

Navjot Singh
Affiliation:
Graduate Research Assistant, Department of Agronomy and Plant Genetics, University of Minnesota, St. Paul, MN, USA
Ryan P. Miller
Affiliation:
Extension Professor and Crops Educator, University of Minnesota Extension, Rochester, MN
Thomas J. Peters
Affiliation:
Associate Professor, Department of Plant Sciences, North Dakota State University, Fargo, ND, USA and Extension Sugar Beet Agronomist, University of Minnesota, St. Paul, MN, and North Dakota State University, Fargo, ND, USA
Seth L. Naeve
Affiliation:
Professor, Department of Agronomy and Plant Genetics, University of Minnesota, St. Paul, MN, USA
Debalin Sarangi*
Affiliation:
Assistant Professor, Department of Agronomy and Plant Genetics, University of Minnesota, St. Paul, MN, USA
*
Corresponding author: Debalin Sarangi; Email: dsarangi@umn.edu
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Abstract

Enlist E3® soybean is resistant to 2,4-D, glyphosate, and glufosinate, allowing postemergence applications of these herbicides sequentially or as tank mixes. The objectives of this experiment were to evaluate the effect of postemergence herbicide application timing and sequence with or without a preemergence application of micro-encapsulated acetochlor on waterhemp and common lambsquarters control, soybean yield, and economic returns. Field experiments were conducted in Rosemount and Franklin, Minnesota, in 2021 and 2022. Site, herbicide application timing, and sequence influenced weed control, yield, and profitability. In Rosemount, preemergence followed by (fb) two-pass postemergence programs, including 2,4-D + glyphosate applied at mid-postemergence with or without S-metolachlor, resulted in ≥95% waterhemp control at 28 d after late postemergence application. In Franklin, where weed density was lower, two-pass postemergence programs, regardless of preemergence application that included at least one application of 2,4-D + glyphosate (with or without S-metolachlor), provided ≥97% control of waterhemp and common lambsquarters at 28 d after late postemergence. The level of control was comparable to that of a preemergence herbicide fb a mid-postemergence application of 2,4-D + glyphosate + S-metolachlor at that site. In Rosemount, including acetochlor as the preemergence herbicide in the preemergence fb postemergence programs improved soybean yield by 32% and partial returns by US$384.50 ha−1 compared to postemergence herbicides–only programs. In contrast, the preemergence application did not affect yield or profitability in Franklin. The highest soybean yield (2,925.7 kg ha−1) in Rosemount resulted after glufosinate was applied early postemergence fb 2,4-D + glyphosate applied mid-postemergence. This yield was comparable to that of glufosinate applied early postemergence fb 2,4-D + glyphosate + S-metolachlor applied mid-postemergence and the two-pass glufosinate (early postemergence fb mid-postemergence) program, highlighting the importance of early season weed control. In Franklin, 2,4-D + glyphosate + S-metolachlor (applied mid-postemergence) fb glufosinate (applied late postemergence) provided a yield that was similar to the aforementioned programs at that site.

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 (https://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), 2025. Published by Cambridge University Press on behalf of Weed Science Society of America
Figure 0

Table 1. Soybean planting, harvesting, and herbicide application dates.a,b

Figure 1

Table 2. Herbicide active ingredient, trade name, application rate, manufacturer, and adjuvant information.

Figure 2

Table 3. Herbicide program and application timing for control of waterhemp and common lambsquarters.a,b,c

Figure 3

Figure 1. Weather data for Rosemount and Franklin, MN. A) Daily precipitation (mm) for 2021 and 2022. B) Cumulative precipitation (mm). C) Average daily air temperature in Celsius in 2021, 2022, and the 30-yr average. Weather data for the Rosemount Research and Outreach Center station and Franklin (Redwood Falls station) were obtained from the National Weather Service.

Figure 4

Figure 2. Box-and-whiskers plots showing (A) waterhemp and (B) common lambsquarters density at 21 d after preemergence (PRE) in Enlist E3 soybean in field experiments conducted in Rosemount and Franklin, MN, in 2021 and 2022. Within the site and species, no common letters indicates a significant difference in mean based on a two-sample Student’s t-test. The solid black line within each box represents the median.

Figure 5

Table 4. Waterhemp control as influenced by herbicide application timing and sequence at 28 d after late postemergence and at harvest.a,b

Figure 6

Table 5. Waterhemp density and biomass reduction as influenced by herbicide application timing and sequence.a,b

Figure 7

Table 6. Common lambsquarters control and density as influenced by herbicide application timing and sequence at 28 d after late postemergence.a,b

Figure 8

Table 7. Enlist E3 soybean height, yield, and economic returns as influenced by herbicide application timing and sequence.a–e