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ARS Home » Midwest Area » Urbana, Illinois » Global Change and Photosynthesis Research » Research » Publications at this Location » Publication #414231

Research Project: Resilience of Integrated Weed Management Systems in Midwest Crop Production Systems

Location: Global Change and Photosynthesis Research

Title: Searching for consistent postemergence weed control in progressively inconsistent weather

Author
item Landau, Christopher
item BRADLEY, KEVIN - University Of Missouri
item BURNS, ERIN - Michigan State University
item DOBBELS, ANTHONY - The Ohio State University
item ESSMAN, ALYSSA - The Ohio State University
item FLESSNER, MICHAEL - Virginia Tech
item GAGE, KARLA - Southern Illinois University
item HAGER, AARON - University Of Illinois
item JHALA, AMIT - University Of Nebraska
item JOHNSON, PAUL - South Dakota State University
item JOHNSON, WILLIAM - Purdue University
item LANCASTER, SARAH - Kansas State University
item LINGENFELTER, DWIGHT - Pennsylvania State University
item LOUX, MARK - The Ohio State University
item MILLER, ERIC - Southern Illinois University
item OWEN, MICHAEL - Iowa State University
item SARANGI, DEBLIN - University Of Minnesota
item SIKKEMA, PETER - University Of Guelph
item SPRAGUE, CHRISTY - Michigan State University
item VANGESSEL, MARK - University Of Delaware
item WERLE, RODRIGO - University Of Wisconsin
item YOUNG, BRIAN - Purdue University
item Williams, Martin

Submitted to: Weed Science
Publication Type: Peer Reviewed Journal
Publication Acceptance Date: 10/9/2024
Publication Date: 11/18/2024
Citation: Landau, C.A., Bradley, K., Burns, E., Dobbels, A., Essman, A., Flessner, M., Gage, K., Hager, A., Jhala, A., Johnson, P., Johnson, W., Lancaster, S., Lingenfelter, D., Loux, M., Miller, E., Owen, M., Sarangi, D., Sikkema, P., Sprague, C., Vangessel, M., Werle, R., Young, B., Williams, M. 2024. Searching for consistent postemergence weed control in progressively inconsistent weather. Weed Science. https://doi.org/10.1017/wsc.2024.80.
DOI: https://doi.org/10.1017/wsc.2024.80

Interpretive Summary: Over the next century, major corn and soybean growing regions of North America are expected to experience a changing climate manifested as greater frequency of extreme weather events. How might climate change affect performance of herbicides applied postemergence (POST) for weed control in corn and soybean? We analyzed university-led POST trials from across thousands of environments and found that average air temperature 10 days after POST application was the most important predictor of successful weed control, with weed control deteriorating rapidly above certain thresholds. Additionally, precipitation 10 days before and after POST application were important predictors in some cases, although the direction (positive or negative effect) varied by weed species and herbicide. As air temperatures increase and precipitation becomes more variable for most of North America, the risk of poor weed control with these common POST herbicides will increase.

Technical Abstract: Foliar applied postemergence (POST) herbicides remain a critical component of corn and soybean weed management programs in North America. Rainfall and temperature around the time of application may affect the efficacy of some of the common herbicides applied to corn or soybean and this effect is often species dependent. However, previous research utilizes a limited number of site-years which may not accurately capture the full range of rainfall and air temperature that these herbicides are exposed to throughout North America. The objective was to model the probability of achieving successful weed control (=85%) with common foliar-applied POST herbicides across a broad range of environments. A large database of over 10,000 individual herbicide evaluation trials conducted throughout North America was used. The database was filtered to include only trials with a single POST application of fomesafen, glyphosate, mesotrione, or fomesafen + glyphosate. Waterhemp (Amaranthus tuburculatus (Moq.) J. D. Sauer), morningglory species (Ipomoea spp.), and giant foxtail (Setaria faberi Herm.) were the focus of this study and separate random forest models were created for each weed species by herbicide combination. The probability of successful weed control plummeted when daily average temperatures were >25°C or <19°C for most of the herbicide by weed species models. Additionally, dry conditions prior to POST application reduced the probability of control for several models. As temperatures increase and rainfall becomes more variable throughout much of North America, weed control with many of the commonly used POST herbicides is likely to become more unreliable and inconsistent.