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Optimal weed control under static and dynamic decision rules

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  • Wu, JunJie

Abstract

Dynamic and static weed control decision rules are derived analytically and compared. The dynamic rule leads to increased farm profits and greater control of weeds and weed seeds than the static rule, while total herbicide use is unchanged. The magnitude of the differences is estimated for atrazine control of foxtail and cocklebur in corn production. Incorporating weed dynamics into weed control strategies increases farm profits between 1.0 and 1.4%.
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  • Wu, JunJie, 2001. "Optimal weed control under static and dynamic decision rules," Agricultural Economics, Blackwell, vol. 25(1), pages 119-130, June.
    • Handle: RePEc:eee:agecon:v:25:y:2001:i:1:p:119-130
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    2. Ranjan, Ram, 2019. "Deriving double dividends through linking payments for ecosystem services to environmental entrepreneurship: The case of the invasive weed Lantana camara," Ecological Economics, Elsevier, vol. 164(C), pages 1-1.
    3. Chalak, Morteza & Pannell, David J., 2012. "Optimising control of an agricultural weed in sheep-production pastures," Agricultural Systems, Elsevier, vol. 109(C), pages 1-8.
    4. Morteza Chalak & David J. Pannell, 2015. "Optimal Integrated Strategies to Control an Invasive Weed," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 63(3), pages 381-407, September.
    5. Christine L. Carroll & Colin A. Carter & Rachael E. Goodhue & C.-Y. Cynthia Lin Lawell, 2017. "Crop Disease and Agricultural Productivity," NBER Working Papers 23513, National Bureau of Economic Research, Inc.
    6. Woongchan Jeon & Kwansoo Kim, 2017. "Optimal Weed Control Strategies in Rice Production under Dynamic and Static Decision Rules in South Korea," Sustainability, MDPI, vol. 9(6), pages 1-11, June.
    7. David Boussios & Paul V. Preckel & Yigezu A. Yigezu & Prakash N. Dixit & Samia Akroush & Hatem Cheikh M'hamed & Mohamed Annabi & Aden Aw‐Hassan & Yahya Shakatreh & Omar Abdel Hadi & Ayed Al‐Abdallat &, 2019. "Modeling producer responses with dynamic programming: a case for adaptive crop management," Agricultural Economics, International Association of Agricultural Economists, vol. 50(1), pages 101-111, January.
    8. Olson, Lars J., 2006. "The Economics of Terrestrial Invasive Species: A Review of the Literature," Agricultural and Resource Economics Review, Cambridge University Press, vol. 35(1), pages 178-194, April.
    9. Finnoff, David & Tschirhart, John, 2005. "Identifying, preventing and controlling invasive plant species using their physiological traits," Ecological Economics, Elsevier, vol. 52(3), pages 397-416, February.
    10. Christine L. Carroll & Colin A. Carter & Rachael E. Goodhue & C.-Y. Cynthia Lin Lawell, 2018. "Crop Disease and Agricultural Productivity: Evidence from a Dynamic Structural Model of Verticillium Wilt Management," NBER Chapters, in: Agricultural Productivity and Producer Behavior, pages 217-249, National Bureau of Economic Research, Inc.
    11. Carroll, Christine & Carter, Colin A. & Goodhue, Rachael E. & Lin, C.-Y. Cynthia & Subbarao, Krishna, 2013. "Bioeconomic Modeling of an Imported Disease in California Lettuce," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 150495, Agricultural and Applied Economics Association.

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