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RESEARCH ARTICLE (Open Access)

Variable-rate nitrogen fertilisation to improve silage maize yield and crude protein using APSIM modelling

Iris Vogeler https://orcid.org/0000-0003-2512-7668 A B * , Christof Kluß B and Friedhelm Taube B
+ Author Affiliations
- Author Affiliations

A Department of Agroecology, Aarhus University, Tjele 8830, Denmark.

B Grass Forage Science/Organic Agriculture, Christian Albrechts University, Kiel 24118, Germany.

* Correspondence to: iris.vogeler@agro.au.dk

Handling Editor: Leônidas Melo

Soil Research 63, SR24180 https://doi.org/10.1071/SR24180
Submitted: 7 October 2024  Accepted: 14 May 2025  Published: 5 June 2025

© 2025 The Author(s) (or their employer(s)). Published by CSIRO Publishing. This is an open access article distributed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND)

Abstract

Context

Precision nitrogen (N) fertilisation, which considers variability in both near-future soil N supply and crop N demand, enables reductions in fertiliser use at the field level, while maintaining high yields and high crude protein (CP) content, and minimising N losses.

Aims

To determine optimum N fertilisation rates for silage maize (Zea mays) based on variability in soil organic carbon (SOC) and plant available water (PAW) of a 20-ha field, a simulation study using the APSIM model was set up.

Methods

APSIM was initially tested under Northern European conditions using measurements of biomass, CP and N leaching losses. The model was subsequently applied to determine optimal N rates, taking into account variability in SOC and PAW through different fertilisation scenarios. Model outputs were then used to calculate the required N rates to achieve a target CP of 6.6%, which is the critical value for maximising yield.

Key results

Compared to a blanket N application across the field, variable N rate application generally increased the proportion of the field achieving the target CP and reduced overall field-scale N leaching.

Conclusions

Process-based models like APSIM offer a valuable tool for determining optimal N fertilisation rates based on variability in soil properties. However, field testing is essential to validate the effectiveness of this approach under real conditions.

Implications

The simulations highlight that in sandy soils with high mineralisation potential due to past high organic matter inputs, N fertilisation should be avoided to meet the requirements of given environmental standards for water protection in the European Union.

Keywords: field-scale impacts, nitrate leaching, Northern Europe, plant available water, precision fertilisation, soil organic carbon, spatial variability.

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