Searching for consistent postemergence weed control in progressively inconsistent weather

Abstract Foliar-applied postemergence herbicides are a critical component of corn ( Zea mays L.) and soybean [ Glycine max (L.) Merr.] weed management programs in North America. Rainfall and air temperature around the time of application may affect the efficacy of herbicides applied postemergence in corn or soybean production fields. However, previous research utilized a limited number of site-years and may not capture the range of rainfall and air temperatures that these herbicides are exposed to throughout North America. The objective of this research was to model the probability of achieving successful weed control (≥85%) with commonly applied postemergence herbicides across a broad range of environments. A large database of more than 10,000 individual herbicide evaluation field trials conducted throughout North America was used in this study. The database was filtered to include only trials with a single postemergence application of fomesafen, glyphosate, mesotrione, or fomesafen + glyphosate. Waterhemp [ Amaranthus tuberculatus (Moq.) Sauer], morningglory species ( Ipomoea spp.), and giant foxtail ( Setaria faberi Herrm.) were the weeds of focus. Separate random forest models were created for each weed species by herbicide combination. The probability of successful weed control deteriorated when the average air temperature within the first 10 d after application was <19 or >25 C for most of the herbicide by weed species models. Additionally, drier conditions before postemergence herbicide application reduced the probability of successful control for several of the herbicide by weed species models. As air temperatures increase and rainfall becomes more variable, weed control with many of the commonly used postemergence herbicides is likely to become less reliable.

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Publication Details

Journal
Weed Science
Published
2024-11-18
DOI
https://doi.org/10.1017/wsc.2024.80
Citations
1
Primary Topic
Plant responses to water stress
Type
article
Field-Weighted Citation Impact
0.60
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article

Searching for consistent postemergence weed control in progressively inconsistent weather

Alyssa I. Essman, Paul O. Johnson, Sarah R. Lancaster, Eric J Miller et al.
1 citations
Weed Science
Plant responses to water stress
0.60
article

Searching for consistent postemergence weed control in progressively inconsistent weather

Alyssa I. Essman, Paul O. Johnson, Sarah R. Lancaster, Eric J Miller, Martin Williams, Erin E. Burns, William G. Johnson, Aaron G. Hager, Kevin W. Bradley, Bryan G. Young, Mark M. Loux, Christopher A. Landau, Dwight Lingenfelter, Christy L. Sprague, Peter H. Sikkema, Debalin Sarangi, Rodrigo Werle, Michael L. Flessner, Amit J. Jhala, Micheal D. K. Owen, Karla L. Gage, Anthony F. Dobbels, Mark J. VanGessel
article en
1 citations

Abstract

Abstract Foliar-applied postemergence herbicides are a critical component of corn ( Zea mays L.) and soybean [ Glycine max (L.) Merr.] weed management programs in North America. Rainfall and air temperature around the time of application may affect the efficacy of herbicides applied postemergence in corn or soybean production fields. However, previous research utilized a limited number of site-years and may not capture the range of rainfall and air temperatures that these herbicides are exposed to throughout North America. The objective of this research was to model the probability of achieving successful weed control (≥85%) with commonly applied postemergence herbicides across a broad range of environments. A large database of more than 10,000 individual herbicide evaluation field trials conducted throughout North America was used in this study. The database was filtered to include only trials with a single postemergence application of fomesafen, glyphosate, mesotrione, or fomesafen + glyphosate. Waterhemp [ Amaranthus tuberculatus (Moq.) Sauer], morningglory species ( Ipomoea spp.), and giant foxtail ( Setaria faberi Herrm.) were the weeds of focus. Separate random forest models were created for each weed species by herbicide combination. The probability of successful weed control deteriorated when the average air temperature within the first 10 d after application was <19 or >25 C for most of the herbicide by weed species models. Additionally, drier conditions before postemergence herbicide application reduced the probability of successful control for several of the herbicide by weed species models. As air temperatures increase and rainfall becomes more variable, weed control with many of the commonly used postemergence herbicides is likely to become less reliable.

Weed ScienceVol. 73
Southern Illinois University Carbondale (US), University of Nebraska–Lincoln (US), University of Minnesota (US), Pennsylvania State University (US), Agricultural Research Service (US), University of Wisconsin–Madison (US), University of Illinois Urbana-Champaign (US), Iowa State University (US), South Dakota State University (US), Urbana University (US), Kansas State University (US), Purdue University West Lafayette (US), University of Minnesota System (US), University of Illinois System (US), The Ohio State University (US), University of Missouri (US), University of Guelph (CA), Virginia Tech (US), University of Delaware (US), Michigan State University (US)
Life in Land
Openalex Percentile: Top 21%
Plant responses to water stress
0.60
DOIOpen Access PDFOpenAlex
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