Abstract
Nitrogen fixation by the Haber–Bosch process has more than doubled the amount of fixed N on Earth, signifi cantly infl uencing the global N cycle. Much of this fixed N is made into N fertilizer that is used to produce nearly half of the world’s food. Too much of the N fertilizer pollutes air and water when it is lost from agroecosystems through volatilization, denitrifi cation, leaching, and runoff. Most of the N fertilizer used in the United States is applied to corn (Zea mays L.), and the profi tability and environmental footprint of corn production is directly tied to N fertilizer applications. Accurately predicting the amount of N needed by corn, however, has proven to be challenging because of the eff ects of rainfall, temperature, and interactions with soil properties on the N cycle. For this reason, improving N recommendations is critical for profi table corn production and for reducing N losses to the environment. The objectives of this paper were to review current methods for estimating N needs of corn by: (i) reviewing fundamental background information about how N recommendations are created; (ii) evaluating the performance, strengths, and limitations of systems and tools used for making N fertilizer recommendations; (iii) discussing how adaptive management principles and methods can improve recommendations; and (iv) providing a framework for improving N fertilizer rate recommendations.
Original language | English |
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Pages (from-to) | 1-37 |
Number of pages | 37 |
Journal | Agronomy Journal |
Volume | 110 |
Issue number | 1 |
DOIs | |
State | Published - Jan 1 2018 |
Bibliographical note
Publisher Copyright:© 2018 by the American Society of Agronomy. All rights reserved.
Funding
This work was supported by funding from the Walton Family Foundation and the Environmental Defense Fund. We thank the two reviewers who used their expertise and time to provide thoughtful suggestions that greatly improved this paper.
Funders | Funder number |
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Walton Family Foundation |
ASJC Scopus subject areas
- Agronomy and Crop Science