Literature DB >> 21548001

Benchmark study on glyphosate-resistant cropping systems in the United States. Part 6: Timeliness of economic decision-making in implementing weed resistance management strategies.

Jason W Weirich1, David R Shaw, Keith H Coble, Micheal D K Owen, Philip M Dixon, Stephen C Weller, Bryan G Young, Robert G Wilson, David L Jordan.   

Abstract

BACKGROUND: The introduction of glyphosate-resistant (GR) crops in the late 1990s made weed control in maize, cotton and soybean simple. With the rapid adoption of GR crops, many growers began to rely solely on glyphosate for weed control. This eventually led to the evolution of GR weeds. Growers are often reluctant to adopt a weed resistance best management practice (BMP) because of the added cost of additional herbicides to weed control programs which would reduce short-term revenue. This study was designed to evaluate when a grower that is risk neutral (profit maximizing) or risk averse should adopt a weed resistance BMP.
RESULTS: Whether a grower is risk neutral or risk averse, the optimal decision would be to adopt a weed resistance BMP when the expected loss in revenue is greater than 30% and the probability of resistance evolution is 0.1 or greater. However, if the probability of developing resistance increases to 0.3, then the best decision would be to adopt a weed resistance BMP when the expected loss is 10% or greater.
CONCLUSION: Given the scenarios analyzed, risk-neutral or risk-averse growers should implement a weed resistance BMP with confidence that they have made the right decision economically and avoided the risk of lost revenue from resistance. If the grower wants to continue to see the same level of return, adoption of BMP is required.
Copyright © 2011 Society of Chemical Industry.

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Year:  2011        PMID: 21548001     DOI: 10.1002/ps.2175

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


  1 in total

1.  Occurrence of an herbicide-resistant plant trait in agricultural field margins.

Authors:  Karla L Gage; David J Gibson; Bryan G Young; Julie M Young; Joseph L Matthews; Stephen C Weller; Robert G Wilson
Journal:  Ecol Evol       Date:  2015-09-04       Impact factor: 2.912

  1 in total

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