Relative toxicity of herbicide use in the United States 1990 to 2015

Department of Plant Sciences, University of Wyoming, Laramie, WY, United States
DOI
10.7287/peerj.preprints.2540v1
Subject Areas
Agricultural Science, Ecotoxicology, Environmental Sciences, Plant Science, Toxicology
Keywords
pesticide, herbicide, glyphosate, herbicide ecology, environmental impacts, health
Copyright
© 2016 Kniss
Licence
This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ Preprints) and either DOI or URL of the article must be cited.
Cite this article
Kniss AR. 2016. Relative toxicity of herbicide use in the United States 1990 to 2015. PeerJ Preprints 4:e2540v1

Abstract

Herbicide use is among the most criticized aspects of modern farming operations, especially in response to widespread adoption of genetically-engineered (GE) herbicide-resistant crops. Many previous analyses of herbicide use have relied on flawed metrics in an attempt to evaluate trends in herbicide intensity and toxicity. Here, it is shown that herbicide use intensity has increased over the last 25 years in corn, cotton, rice, and wheat. Although GE glyphosate-resistant crops have been previously blamed for increasing herbicide use, herbicide use increased more rapidly in the non-GE crops rice and wheat. Even as herbicide use has increased, the chronic toxicity hazard associated with herbicide use decreased in 3 out of 6 crops, while acute toxicity hazard decreased in 5 out of 6 crops. In GE glyphosate-resistant crops, glyphosate accounted for 26% of corn, 43% of soybean, and 45% of cotton herbicide applications. However, due to it’s relatively low chronic toxicity, glyphosate contributed only 0.1%, 0.3%, and 3.5% of the chronic toxicity hazard in these same crops, respectively.

Author Comment

This is a preprint submission to PeerJ Preprints.