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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.

Suggested Citation

  • Frisvold, George B. & Hurley, Terrance M. & Mitchell, Paul D., 2009. "Adoption of Best Management Practices to Control Weed Resistance By Cotton, Corn, and Soybean Growers," 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin 49432, Agricultural and Applied Economics Association.
    • Handle: RePEc:ags:aaea09:49432
    DOI: 10.22004/ag.econ.49432
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    References listed on IDEAS

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    1. Michele C. Marra & Nicholas E. Piggott, 2006. "The Value of Non-Pecuniary Characteristics of Crop Biotechnologies: A New Look at the Evidence," Natural Resource Management and Policy, in: Richard E. Just & Julian M. Alston & David Zilberman (ed.), Regulating Agricultural Biotechnology: Economics and Policy, chapter 0, pages 145-177, Springer.
    2. Richard E. Just & Julian M. Alston & David Zilberman (ed.), 2006. "Regulating Agricultural Biotechnology: Economics and Policy," Natural Resource Management and Policy, Springer, number 978-0-387-36953-2, March.
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    Cited by:

    1. Khanna, Madhu & Atallah, Shadi & Kar, Saurajyoti & Sharma, Bijay & Wu, Linghui & Yu, Chengzheng, 2021. "Digital Transformation for a Sustainable Agriculture in the US: Opportunities and Challenges," 2021 Conference, August 17-31, 2021, Virtual 313799, International Association of Agricultural Economists.
    2. Karla L. Gage & Ronald F. Krausz & S. Alan Walters, 2019. "Emerging Challenges for Weed Management in Herbicide-Resistant Crops," Agriculture, MDPI, vol. 9(8), pages 1-11, August.
    3. Frisvold, George, 2010. "Resistance Management and Sustainable Use of Agricultural Biotechnology," 14th ICABR Conference, June 16-18, 2010, Ravello, Italy 188091, International Consortium on Applied Bioeconomy Research (ICABR).
    4. Dong, Fengxia & Mitchell, Paul D. & Hurley, Terrance M. & Frisvold, George B., 2016. "Quantifying Adoption Intensity for Weed-Resistance Management Practices and Its Determinants among U.S. Soybean, Corn, and Cotton Farmers," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 41(1), pages 1-20, January.
    5. 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.
    6. Karla L. Gage & Lauren M. Schwartz-Lazaro, 2019. "Shifting the Paradigm: An Ecological Systems Approach to Weed Management," Agriculture, MDPI, vol. 9(8), pages 1-17, August.
    7. David Weisberger & Melissa Ann Ray & Nicholas T. Basinger & Jennifer Jo Thompson, 2024. "Chemical, ecological, other? Identifying weed management typologies within industrialized cropping systems in Georgia (U.S.)," Agriculture and Human Values, Springer;The Agriculture, Food, & Human Values Society (AFHVS), vol. 41(3), pages 935-953, September.
    8. Khanna, Madhu, 2021. "Digital Transformation for a Sustainable Agriculture: Opportunities and Challenges," 2021 Conference, August 17-31, 2021, Virtual 315052, International Association of Agricultural Economists.
    9. Tayyaba Hina & Muhammad Asad ur Rehman Naseer, 2019. "Impact of Better Management Practices on Sustainable Cotton Production: Evidence from South Punjab," Journal of Economic Impact, Science Impact Publishers, vol. 1(3), pages 92-97.
    10. Livingston, Michael & Fernandez-Cornejo, Jorge & Unger, Jesse & Osteen, Craig & Schimmelpfennig, David & Park, Tim & Lambert, Dayton, 2015. "The Economics of Glyphosate Resistance Management in Corn and Soybean Production," Economic Research Report 205083, United States Department of Agriculture, Economic Research Service.
    11. Sovit Parajuli & Aayush Raj Dhakal & Sandip Paudel & Sudip Regmi & Om Prakash Singh, 2021. "Status Of Herbicide Resistance In Weeds And The Ways To Mitigate It From Global Perspective," Tropical Agroecosystems (TAEC), Zibeline International Publishing, vol. 2(1), pages 62-69, July.
    12. Ervin, David E. & Breshears, Elise H. & Frisvold, George B. & Hurley, Terrance & Dentzman, Katherine E. & Gunsolus, Jeffrey L. & Jussaume, Raymond A. & Owen, Micheal D.K. & Norsworthy, Jason K. & Al M, 2019. "Farmer Attitudes Toward Cooperative Approaches to Herbicide Resistance Management: A Common Pool Ecosystem Service Challenge," Ecological Economics, Elsevier, vol. 157(C), pages 237-245.

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