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Developing Imputed Cropping Systems Data from NRCS CEAP-NRI/APEX Data and Model for Input into USDA-ERS REAP Model

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  • Maguire, Karen
  • Msangi, Siwa M.
  • Gallagher, Nicholas
  • Osorio-Leyton, Javier
  • Steglich, Evelyn
  • Lester, Chris
  • Aillery, Marcel P.

Abstract

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Suggested Citation

  • Maguire, Karen & Msangi, Siwa M. & Gallagher, Nicholas & Osorio-Leyton, Javier & Steglich, Evelyn & Lester, Chris & Aillery, Marcel P., 2023. "Developing Imputed Cropping Systems Data from NRCS CEAP-NRI/APEX Data and Model for Input into USDA-ERS REAP Model," 2023 Annual Meeting, July 23-25, Washington D.C. 335553, Agricultural and Applied Economics Association.
    • Handle: RePEc:ags:aaea23:335553
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    References listed on IDEAS

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    1. Petr Havlík & Hugo Valin & Aline Mosnier & Michael Obersteiner & Justin S. Baker & Mario Herrero & Mariana C. Rufino & Erwin Schmid, 2013. "Crop Productivity and the Global Livestock Sector: Implications for Land Use Change and Greenhouse Gas Emissions," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 95(2), pages 442-448.
    2. Xiaoguang Chen & Hayri Önal, 2012. "Modeling Agricultural Supply Response Using Mathematical Programming and Crop Mixes," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 94(3), pages 674-686.
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