Neonicotinoid seed treatments of soybean provide negligible benefits to US farmers View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2019-09-09

AUTHORS

Spyridon Mourtzinis, Christian H. Krupke, Paul D. Esker, Adam Varenhorst, Nicholas J. Arneson, Carl A. Bradley, Adam M. Byrne, Martin I. Chilvers, Loren J. Giesler, Ames Herbert, Yuba R. Kandel, Maciej J. Kazula, Catherine Hunt, Laura E. Lindsey, Sean Malone, Daren S. Mueller, Seth Naeve, Emerson Nafziger, Dominic D. Reisig, William J. Ross, Devon R. Rossman, Sally Taylor, Shawn P. Conley

ABSTRACT

Neonicotinoids are the most widely used insecticides worldwide and are typically deployed as seed treatments (hereafter NST) in many grain and oilseed crops, including soybeans. However, there is a surprising dearth of information regarding NST effectiveness in increasing soybean seed yield, and most published data suggest weak, or inconsistent yield benefit. The US is the key soybean-producing nation worldwide and this work includes soybean yield data from 194 randomized and replicated field studies conducted specifically to evaluate the effect of NSTs on soybean seed yield at sites within 14 states from 2006 through 2017. Here we show that across the principal soybean-growing region of the country, there are negligible and management-specific yield benefits attributed to NSTs. Across the entire region, the maximum observed yield benefits due to fungicide (FST = fungicide seed treatment) + neonicotinoid use (FST + NST) reached 0.13 Mg/ha. Across the entire region, combinations of management practices affected the effectiveness of FST + NST to increase yield but benefits were minimal ranging between 0.01 to 0.22 Mg/ha. Despite widespread use, this practice appears to have little benefit for most of soybean producers; across the entire region, a partial economic analysis further showed inconsistent evidence of a break-even cost of FST or FST + NST. These results demonstrate that the current widespread prophylactic use of NST in the key soybean-producing areas of the US should be re-evaluated by producers and regulators alike. More... »

PAGES

11207

References to SciGraph publications

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  • Journal

    TITLE

    Scientific Reports

    ISSUE

    1

    VOLUME

    9

    Author Affiliations

  • Department of Agronomy, University of Wisconsin-Madison, 53706, Madison, WI, United States
  • Department of Entomology, Purdue University, 47907, West Lafayette, IN, United States
  • Department of Plant Pathology and Environmental Microbiology, Pennsylvania State University, 16801, State College, PA, United States
  • Department of Agronomy, Horticulture & Plant Science, 57007, Brookings, SD, United States
  • Department of Plant Pathology, University of Kentucky Research & Education Center, 42445, Princeton, KY, United States
  • Department of Plant, Soil and Microbial Sciences, Michigan State University, 48824, East Lansing, MI, United States
  • Department of Plant Pathology, University of Nebraska-Lincoln, 68583, Lincoln, NE, United States
  • Department of Entomology, Virginia Tech Agricultural Research and Extension Center, 23437, Suffolk, VA, United States
  • Department of Plant Pathology and Microbiology, Iowa State University, 50011, Ames, IA, United States
  • Department of Agronomy and Plant Genetics, University of Minnesota, 55108, St. Paul, MN, United States
  • Department of Horticulture and Crop Science, The Ohio State University, 43210, Columbus, OH, United States
  • Department of Crop Sciences, University of Illinois, 61801, Urbana, IL, United States
  • Department of Entomology and Plant Pathology, North Carolina State University, Vernon James Research and Extension Center, 27962, Plymouth, NC, United States
  • Department of Crop, Soil, and Environmental Sciences, University of Arkansas, 72204, Little Rock, AR, United States
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1038/s41598-019-47442-8

    DOI

    http://dx.doi.org/10.1038/s41598-019-47442-8

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1120930421

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/31501463


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