Literature DB >> 28444878

What do farmers' weed control decisions imply about glyphosate resistance? Evidence from surveys of US corn fields.

Seth J Wechsler1, Jonathan R McFadden1, David J Smith1.   

Abstract

BACKGROUND: The first case of glyphosate-resistant weeds in the United States was documented in 1998, 2 years after the commercialization of genetically engineered herbicide-resistant (HR) corn and soybeans. Currently, over 15 glyphosate-resistant weed species affect US crop production areas. These weeds have the potential to reduce yields, increase costs, and lower farm profitability. The objective of our study is to develop a behavioral model of farmers' weed management decisions and use it to analyze weed resistance to glyphosate in US corn farms.
RESULTS: On average, we find that weed control increased US corn yields by 3700 kg ha-1 (worth approximately $US 255 ha-1 ) in 2005 and 3500 kg ha-1 (worth approximately $US 575 ha-1 ) in 2010. If glyphosate resistant weeds were absent, glyphosate killed approximately 99% of weeds, on average, when applied at the label rate in HR production systems. Average control was dramatically lower in states where glyphosate resistance was widespread.
CONCLUSION: We find that glyphosate resistance had a significant impact on weed control costs and corn yields of US farmers in 2005 and 2010. Published 2017. This article is a U.S. Government work and is in the public domain in the USA. Published 2017. This article is a U.S. Government work and is in the public domain in the USA.

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Keywords:  control functions; corn; damage abatement; genetically enginereed crops; glyphosate resistance; herbicide resistance; non-linear full information maximum likelihood

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Year:  2017        PMID: 28444878     DOI: 10.1002/ps.4598

Source DB:  PubMed          Journal:  Pest Manag Sci        ISSN: 1526-498X            Impact factor:   4.845


  1 in total

1.  Novel Candidate Genes Differentially Expressed in Glyphosate-Treated Horseweed (Conyza canadensis).

Authors:  Yongil Yang; Cory Gardner; Pallavi Gupta; Yanhui Peng; Cristiano Piasecki; Reginald J Millwood; Tae-Hyuk Ahn; C Neal Stewart
Journal:  Genes (Basel)       Date:  2021-10-14       Impact factor: 4.096

  1 in total

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