A mechanistic model for determining factors that influence inorganic nitrogen fate in corn cultivation

Conventional practices for inorganic nitrogen fertilizer are highly inefficient leading to excess nitrogen in the environment. Excess environmental nitrogen induces ecological (<i>e.g.</i>, hypoxia, eutrophication) and public health (<i>e.g.</i>, nitrate contaminated drinking water) consequences, motivating adoption of management strategies to improve fertilizer use efficiency. Yet, how to limit the environmental impacts from inorganic nitrogen fertilizer while maintaining crop yields is a persistent challenge. The lack of empirical data on the fate and transport of nitrogen in an agriculture soil-crop system and how transport changes under varying conditions limits our ability to address this challenge. To this end, we developed a mechanistic model to assess how various parameters within a soil-crop system affect where nitrogen goes and inform how we can perturb the system to improve crop nitrogen content while reducing nitrogen emissions to the environment. The model evaluates nitrogen transport and distribution in the soil-corn plant system on a conventional Iowa corn farm. Simulations determine the amount of applied nitrogen fertilizer acquired by the crop root system, leached to groundwater, lost to tile drainage, and denitrified. Through scenario modeling, it was found that reducing application rates from 200 kg ha<sup>-1</sup> to 160 kg ha<sup>-1</sup> had limited impact on plant nitrogen content, while decreasing wasted nitrogen fertilizer by 25%. Delayed application until June significantly increased the f-NUE and denitrification while reducing the amount of fertilizer leached and exported through tile drainage. The value in a model like the one presented herein, is the ability to perturb the system through manipulation of variables representative of a specific scenario of interest to inform how one can improve crop-based nitrogen management.

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Publication Details

Journal
Environmental Science Processes & Impacts
Published
2024-12-26
DOI
https://doi.org/10.1039/d4em00566j
Citations
1
Primary Topic
Crop Yield and Soil Fertility
Type
article
Field-Weighted Citation Impact
0.57

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article

A mechanistic model for determining factors that influence inorganic nitrogen fate in corn cultivation

Patrick J. Dunn, Leanne M. Gilbertson
1 citations
Environmental Science Processes & Impacts
Crop Yield and Soil Fertility
0.57
article

A mechanistic model for determining factors that influence inorganic nitrogen fate in corn cultivation

Patrick J. Dunn, Leanne M. Gilbertson
article en
1 citations

Abstract

Conventional practices for inorganic nitrogen fertilizer are highly inefficient leading to excess nitrogen in the environment. Excess environmental nitrogen induces ecological (<i>e.g.</i>, hypoxia, eutrophication) and public health (<i>e.g.</i>, nitrate contaminated drinking water) consequences, motivating adoption of management strategies to improve fertilizer use efficiency. Yet, how to limit the environmental impacts from inorganic nitrogen fertilizer while maintaining crop yields is a persistent challenge. The lack of empirical data on the fate and transport of nitrogen in an agriculture soil-crop system and how transport changes under varying conditions limits our ability to address this challenge. To this end, we developed a mechanistic model to assess how various parameters within a soil-crop system affect where nitrogen goes and inform how we can perturb the system to improve crop nitrogen content while reducing nitrogen emissions to the environment. The model evaluates nitrogen transport and distribution in the soil-corn plant system on a conventional Iowa corn farm. Simulations determine the amount of applied nitrogen fertilizer acquired by the crop root system, leached to groundwater, lost to tile drainage, and denitrified. Through scenario modeling, it was found that reducing application rates from 200 kg ha<sup>-1</sup> to 160 kg ha<sup>-1</sup> had limited impact on plant nitrogen content, while decreasing wasted nitrogen fertilizer by 25%. Delayed application until June significantly increased the f-NUE and denitrification while reducing the amount of fertilizer leached and exported through tile drainage. The value in a model like the one presented herein, is the ability to perturb the system through manipulation of variables representative of a specific scenario of interest to inform how one can improve crop-based nitrogen management.

Environmental Science Processes & ImpactsVol. 27(3)
University of Pittsburgh (US), Duke University (US)
National Science Foundation, University of Pittsburgh, Division of Chemical, Bioengineering, Environmental, and Transport Systems
Openalex Percentile: Top 26%
Crop Yield and Soil Fertility
0.57
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