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Adoption and Frequency of Precision Soil Testing in Cotton Production

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  • Lambert, Dayton M.
  • English, Burton C.
  • Harper, David C.
  • Larkin, Sherry L.
  • Larson, James A.
  • Mooney, Daniel F.
  • Roberts, Roland K.
  • Velandia, Margarita
  • Reeves, Jeanne M.

Abstract

A 2009 survey of cotton farmers in twelve states collected information about the use of georeferenced precision soil testing (PST). Adoption of PST technology and the interval until retesting were examined with a Poisson hurdle regression. Survey data were calibrated using a post-stratification weighting protocol. Farming experience, farm size, land ownership, variable rate fertilizer management plans, and the use of soil electrical conductivity devices were correlated the with period until PST adopters retested soil. Understanding how producers perceive the useful life of soil-test information may be important for monitoring the effectiveness of best nutrient management practice adoption.

Suggested Citation

  • Lambert, Dayton M. & English, Burton C. & Harper, David C. & Larkin, Sherry L. & Larson, James A. & Mooney, Daniel F. & Roberts, Roland K. & Velandia, Margarita & Reeves, Jeanne M., 2014. "Adoption and Frequency of Precision Soil Testing in Cotton Production," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 39(1), pages 1-18, April.
  • Handle: RePEc:ags:jlaare:168262
    DOI: 10.22004/ag.econ.168262
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    1. Fateh Mamine & Noure El Imène Boumali & Etienne Montaigne, 2020. "Why Farmers Adopt Agro-Industrial By-Products in Animal Feed? Lesson Learned in Algerian Case," Post-Print hal-02966547, HAL.
    2. Boyer, Christopher N. & Lambert, Dayton M. & Velandia, Margarita & English, Burton C. & Robert, Roland K. & Larson, James A. & Larkin, Sherry L. & Paudel, Krishna P. & Reeves, Jeanne M., 2016. "Cotton Producer Awareness and Participation in Cost-Sharing Programs for Precision Nutrient-Management Technology," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 41(1), pages 1-16, January.
    3. Claytor, Hannah S. & Clark, Christopher D. & Lambert, Dayton M. & Jensen, Kimberly L., 2018. "Cattle producer willingness to afforest pastureland and sequester carbon," Forest Policy and Economics, Elsevier, vol. 92(C), pages 43-54.
    4. Li, Xiaogu & Jensen, Kimberly L. & Clark, Christopher D. & Lambert, Dayton M., 2016. "Consumer willingness to pay for beef grown using climate friendly production practices," Food Policy, Elsevier, vol. 64(C), pages 93-106.
    5. Monaco, Lourival C. & Brewer, Brady E. & Gray, Allan W., 2022. "Farm data technologies and their use by American farmers," 2022 Annual Meeting, July 31-August 2, Anaheim, California 322454, Agricultural and Applied Economics Association.
    6. Donika MALOKU, 2020. "Adoption Of Precision Farming Technologies: Usa And Eu Situation," SEA - Practical Application of Science, Romanian Foundation for Business Intelligence, Editorial Department, issue 22, pages 7-14, May.
    7. Shang, Linmei & Heckelei, Thomas & Börner, Jan & Rasch, Sebastian, 2020. "Adoption and Diffusion of Digital Farming Technologies – Integrating Farm-Level Evidence and System-Level Interaction," 60th Annual Conference, Halle/ Saale, Germany, September 23-25, 2020 305586, German Association of Agricultural Economists (GEWISOLA).
    8. Shang, Linmei & Heckelei, Thomas & Gerullis, Maria K. & Börner, Jan & Rasch, Sebastian, 2021. "Adoption and diffusion of digital farming technologies - integrating farm-level evidence and system interaction," Agricultural Systems, Elsevier, vol. 190(C).
    9. Shang, Linmei & Heckelei, Thomas & Börner, Jan & Rasch, Sebastian, 2020. "Adoption and Diffusion of Digital Farming Technologies – Integrating Farm-Level Evidence and System-Level Interaction," 60th Annual Conference, Halle/ Saale, Germany, September 23-25, 2020 305586, German Association of Agricultural Economists (GEWISOLA).
    10. Hanson, Erik D. & Cossette, Max K. & Roberts, David C., 2022. "The adoption and usage of precision agriculture technologies in North Dakota," Technology in Society, Elsevier, vol. 71(C).
    11. Barnes, A.P. & Soto, I. & Eory, V. & Beck, B. & Balafoutis, A. & Sánchez, B. & Vangeyte, J. & Fountas, S. & van der Wal, T. & Gómez-Barbero, M., 2019. "Exploring the adoption of precision agricultural technologies: A cross regional study of EU farmers," Land Use Policy, Elsevier, vol. 80(C), pages 163-174.
    12. Velandia, Margarita & Edge, Brittani & Boyer, Christopher & Larson, James & Lambert, Dayton & Wilson, Bradley & Buschermohle, Michael & Rejesus, Roderick & Falconer, Larry & English, Burton C., 2016. "Factors Influencing the Adoption of Automatic Section Control Technologies and GPS Auto-Guidance Systems in Cotton Production," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235563, Agricultural and Applied Economics Association.
    13. Harmon, Xavier & Boyer, Christopher N. & Lambert, Dayton M. & Larson, James A., 2017. "Temporal Frequency Of Soil Test Information Effects On Returns To Potassium Fertilization In Cotton Production," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 49(2), pages 251-272, May.
    14. Asare, Eric & Segarra, Eduardo, 2017. "Adoption and Extent of Adoption of Georeferenced Grid Soil Sampling Technology by Cotton Producers in the Southern US," 2017 Annual Meeting, February 4-7, 2017, Mobile, Alabama 252773, Southern Agricultural Economics Association.
    15. Lambert, Dayton M. & Paudel, Krishna P. & Larson, James A., 2015. "Bundled Adoption of Precision Agriculture Technologies by Cotton Producers," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 40(2), pages 1-21, May.
    16. Du, C. & Norwood, F.B., . "An Online Survey of Chinese Familiarity With and Attitudes Towards Pecans," Journal of Agribusiness, Agricultural Economics Association of Georgia, vol. 38(1).
    17. Schimmelpfennig, David & Ebel, Robert, 2016. "Sequential Adoption and Cost Savings from Precision Agriculture," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 41(1), pages 1-19, January.

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