Nitrogen (N) management is critical to sustain soil fertility and crop production while
minimizing the negative environmental impact, but is challenging to optimize. This paper …

CONTEXT Process-based models are increasingly used to explain and predict crop yields
and long-term changes in soil organic matter (SOM) and hence should be regularly …

The optimal nitrogen (N) application rate is an important concept to guide the strategic/static
N management of crops. However, there is still a knowledge gap on how to combine the …

Applying at the economic optimal nitrogen rate (EONR) has the potential to increase
nitrogen (N) fertilization efficiency and profits while reducing negative environmental …

Multiple strategies are available that could reduce nitrogen (N) fertilizer use in agricultural
systems, ranging from voluntary adoption of new N management practices by farmers to …

Crop yield results from the complex interaction between genotype, management, and
environment. While farmers have control over what genotype to plant and how to manage it …

Performing large scale simulation analyses using complex process-driven models can be
very time consuming and incur significant computational expense. These analyses involve …

Worldwide, wheat Nitrogen (N) fertilization is often over-estimated, and rarely takes into
account the actual dynamics of N nutrition during the growing season. It is well documented …

Effective nitrogen (N) fertilizer management is crucial for meeting the growing demand for
crop production while maintaining planetary boundaries within sustainable limits. Global N …

Even with the rapid advancement in environmental and crop sensing and transmission of
data, crop growth models could fill the analytical gap to enable real-time decision-making for …