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Dynamic Optimization of Nitrogen in Plateau Cotton Yield Functions with Nitrogen Carryover Considerations

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  • Dhakal, Chandra
  • Lange, Kelly
  • Parajulee, Megha N.
  • Segarra, Eduardo

Abstract

This study utilizes a dynamic programming decision model, considering an intertemporal nitrogen carryover function, combined with both linear stochastic and deterministic plateau response functions to evaluate optimal nitrogen fertilizer decision rules and net present values (NPVs) in Texas High Plains cotton production. Nitrogen recommendations and NPVs are influenced by response function choice and nitrogen-to-cotton price ratios. Results indicate the stochastic plateau function better describes the data; the optimum nitrogen recommendation is to apply approximately 40 lb. of nitrogen for each bale of cotton production when considering nitrogen carryover information.

Suggested Citation

  • Dhakal, Chandra & Lange, Kelly & Parajulee, Megha N. & Segarra, Eduardo, 2019. "Dynamic Optimization of Nitrogen in Plateau Cotton Yield Functions with Nitrogen Carryover Considerations," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 51(3), pages 385-401, August.
    • Handle: RePEc:cup:jagaec:v:51:y:2019:i:03:p:385-401_00
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    Cited by:

    1. Sarkar, Sampriti & Lupi, Frank, 2022. "Modelling mid-western corn yield response to phosphorus fertilizer in Michigan," 2022 Annual Meeting, July 31-August 2, Anaheim, California 322478, Agricultural and Applied Economics Association.
    2. Sihvonen, Matti & Pihlainen, Sampo & Lai, Tin-Yu & Salo, Tapio & Hyytiäinen, Kari, 2021. "Crop production, water pollution, or climate change mitigation—Which drives socially optimal fertilization management most?," Agricultural Systems, Elsevier, vol. 186(C).
    3. Khalid Hussain & Ayesha Ilyas & Saqib Ali & Irshad Bibi & Qamar Shakil & Muhammad Usman Farid & Zulfiqar Ahmad Saqib & Adnan Habib & Erdoğan Eşref HAKKI, 2022. "Impacts of Nitrogen Fertilizer Application and Mulching on the Morpho-Physiological and Yield-Related Traits in Cotton," Agriculture, MDPI, vol. 13(1), pages 1-12, December.
    4. Yash P. Singh & Sanjay Arora & Vinay K. Mishra & Atul K. Singh, 2022. "Synergizing Microbial Enriched Municipal Solid Waste Compost and Mineral Gypsum for Optimizing Rice-Wheat Productivity in Sodic Soils," Sustainability, MDPI, vol. 14(13), pages 1-15, June.
    5. Ng'ombe, John, 2019. "Economics of the Greenseeder Hand Planter, Discrete Choice Modeling, and On-Farm Field Experimentation," Thesis Commons jckt7, Center for Open Science.

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