IDEAS home Printed from https://ideas.repec.org/a/ags/uersaw/302872.html
   My bibliography  Save this article

The Use of Genetically Engineered Dicamba-Tolerant Soybean Seeds Has Increased Quickly, Benefiting Adopters but Damaging Crops in Some Fields

Author

Listed:
  • Wechsler, Seth J.
  • Smith, David
  • McFadden, Jonathan
  • Dodson, Laura
  • Williamson, Sam

Abstract

Glyphosate is a broad-spectrum herbicide that kills most broad-leaf weeds and grasses. Genetically engineered glyphosate-tolerant soybeans were commercialized in 1996, and acres planted with glyphosate-tolerant soybeans and glyphosate use increased rapidly in the years that followed. By 2006, almost 9 out of every 10 soybean acres were planted with glyphosate-tolerant seeds. Glyphosate-tolerant weeds were identified in the majority of soybean-producing States by 2018. Herbicides other than glyphosate, such as dicamba, can help control these weeds. In 2018, about 43 percent of U.S. soybean acreage was planted with dicamba-tolerant seeds.

Suggested Citation

  • Wechsler, Seth J. & Smith, David & McFadden, Jonathan & Dodson, Laura & Williamson, Sam, 2019. "The Use of Genetically Engineered Dicamba-Tolerant Soybean Seeds Has Increased Quickly, Benefiting Adopters but Damaging Crops in Some Fields," Amber Waves:The Economics of Food, Farming, Natural Resources, and Rural America, United States Department of Agriculture, Economic Research Service, vol. 0(09), October.
    • Handle: RePEc:ags:uersaw:302872
    DOI: 10.22004/ag.econ.302872
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/302872/files/USDA%20ERS%20-%20The%20Use%20of%20Genetically%20Engineered%20Dicamba-Tolerant%20Soybean%20Seeds%20Has%20Increased%20Quickly%2C%20Benefiting%20Adopters%20but%20Damaging%20Crops%20in%20Some%20Fields.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.302872?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Lee, Seungki & Moschini, GianCarlo & Perry, Edward D., 2023. "Genetically engineered varieties and applied pesticide toxicity in U.S. maize and soybeans: Heterogeneous and evolving impacts," Ecological Economics, Elsevier, vol. 211(C).
    2. Pokharel, Ashish & Wu, Felicia & Hennessy, David A., 2022. "Disease burden associated with tillage-related PM2.5 pollution in the United States, and mitigation strategies," 2022 Annual Meeting, July 31-August 2, Anaheim, California 322155, Agricultural and Applied Economics Association.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ags:uersaw:302872. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/ersgvus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.