Adoption of best management practices to control weed resistance by corn, cotton, and soybean growers

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

Research output: Contribution to journalArticle

29 Scopus citations


This study examined adoption of 10 best management practices (BMPs) to control weed resistance to herbicides using data from a survey of more than 1,000 US corn, cotton, and soybean growers. Count-data models were estimated to explain the total number of BMPs frequently practiced. Ordered-probit regressions were used to explain the frequency of individual BMP adoption. Growers practicing a greater number of BMPs frequently had more education, but less farming experience; grew cotton; expected higher yields relative to the county average; and farmed in counties with a lower coefficient of variation (CV) for yield of their primary crop. Yield expectations and variability were significant predictors of adoption of individual BMPs. Most growers frequently adopted the same seven BMPs. Extension efforts may be more effective if they targeted the three practices with low adoption rates. Counties with a high-yield CV would be areas to look for low BMP adoption.

Original languageEnglish (US)
Pages (from-to)370-381
Number of pages12
Issue number3-4
Publication statusPublished - 2009



  • Adoption
  • Corn
  • Cotton
  • Herbicide
  • Resistance management
  • Soybeans
  • Weed

ASJC Scopus subject areas

  • Agronomy and Crop Science
  • Food Science
  • Economics and Econometrics
  • Biotechnology

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