Estimating Economically Optimal Levels of Nitrogen Fertilizer in No-Tillage Continuous Corn

Autor: Alexis H. Villacis, A. Ford Ramsey, Jorge A. Delgado, Jeffrey Alwang
Přispěvatelé: Agricultural and Applied Economics
Rok vydání: 2020
Předmět:
Zdroj: Journal of Agricultural and Applied Economics. 52:613-623
ISSN: 2056-7405
1074-0708
DOI: 10.1017/aae.2020.23
Popis: Stochastic plateau production functions provide improved fertilizer recommendations based on multi-year agronomic experiments where weather and other stochastic variables change over time. This research assesses the profitability of no-tillage corn production in northeastern Colorado and determines economically optimal nitrogen fertilizer rates. It also proposes an alternative parameterization of the linear response stochastic plateau model which provides a robustness check against traditional parameterizations. Results show the current use of nitrogen fertilizer in the area exceeds estimated economically optimal levels. This suggests that a reduction in nitrogen use could increase expected profits and simultaneously reduce environmental costs. Virginia Tech [58-3012-7-007]; USDA/ARSUnited States Department of Agriculture (USDA)USDA Agricultural Research Service [58-3012-7-007]; Hatch ProjectUnited States Department of Agriculture (USDA) [VA 136247, NC-1034] Published version This work was supported by Virginia Tech Cooperative Agreement Number 58-3012-7-007 with USDA/ARS; and by Hatch Project VA 136247 Regional project NC-1034. Public domain – authored by a U.S. government employee
Databáze: OpenAIRE