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Accepted manuscript

A system approach for waterhemp (Amaranthus tuberculatus) management in soybean–sugar beet rotation

Published online by Cambridge University Press:  27 October 2025

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

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Effective waterhemp management in sugar beet-based crop rotations requires a proactive approach, starting with robust weed management in the preceding crop. Sugar beet is vulnerable to weeds due to its poor competitiveness during early growth stages and a limited availability of effective herbicide options within this rotation. This research aimed to evaluate multi-tactic weed management strategies, including narrow soybean row spacing with low- and high-input herbicide programs, and a high-input program plus harvest-time weed seed control (HWSC) simulation, on waterhemp control and seed production in soybean, and their effects on waterhemp density in the following sugar beet crop. Field experiments were conducted from 2021 to 2023 in Franklin, Moorhead, and Rosemount, MN. Narrow-row soybean closed the canopy earlier at Franklin in 2021 and at Moorhead in 2022. Soybean row spacing did not affect waterhemp control, density, biomass, or seed production at any experiment site-year. A high-input program consisting of flumioxazin applied preemergence followed by (fb) an early-postemergence application of lactofen plus acetochlor fb a late-postemergence application of 2,4-D plus glyphosate provided ≥95% waterhemp control at harvest across all the site-years and reduced seed production to 0 seeds m−2 in Franklin and Rosemount. At Franklin and Rosemount, waterhemp control at harvest was comparable among all high-input herbicide programs. Narrow-row soybean yielded 9.4% and 18.5% more than wide-row soybean at Franklin and Rosemount, respectively, while no yield difference was observed at Moorhead. High-input herbicide programs reduced waterhemp emergence in the subsequent season’s sugar beet crop by 72% to 92% at the Franklin (2022), Moorhead (2023), and Rosemount (2023) sites. However, adding HWSC to a high-input program did not result in further reduction of waterhemp density. In this research, one year of effective waterhemp control with high-input herbicide programs in soybean reduced its emergence in the following season’s sugar beet crop.

Information

Type
Research Article
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
© The Author(s), 2025. Published by Cambridge University Press on behalf of Weed Science Society of America