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Adoption of Best Management Practices to Control Weed Resistance By Cotton, Corn, and Soybean Growers

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  • Frisvold, George B.
  • Hurley, Terrance M.
  • Mitchell, Paul D.

Abstract

This study examined adoption of ten best management practices (BMPs) to control weed resistance to herbicides. Using data from a survey of 1,205 U.S. cotton, corn, and soybean growers, count data models were estimated to explain the total number of practices frequently adopted. Ordered probit regressions were used to explain the frequency of individual BMP adoption. Growers practicing a greater number of BMPs frequently (a) had more education, but less farming experience; (b) grew cotton, (c) expected higher yields relative to the county average; and (d) farmed in counties with a lower coefficient of variation (CV) for yield of their primary crop. Yield expectations and variability were significant predictors of the frequency of adoption of individual BMPs. Most growers frequently adopted the same seven BMPs. Extension efforts may be more effective if they target a minority of growers and the three practices with low adoption rates. Counties with a high yield CV would be areas to look for low BMP adoption.

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Bibliographic Info

Paper provided by Agricultural and Applied Economics Association in its series 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin with number 49432.

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Date of creation: Jul 2009
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Handle: RePEc:ags:aaea09:49432

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Related research

Keywords: weeds; herbicide; resistance management; corn; cotton; soybeans; adoption; Crop Production/Industries; Farm Management; Production Economics; Research and Development/Tech Change/Emerging Technologies; Q12; Q16;

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Cited by:
  1. Dong, Fengxia & Mitchell, Paul D. & Hurley, Terrance M. & Frisvold, George B., 2012. "Quantifying Farmer Adoption Intensity for Weed Resistance Management Practices and Its Determinants," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 125194, Agricultural and Applied Economics Association.

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