ISMC2021-11, updated on 10 Jan 2023
https://doi.org/10.5194/ismc2021-11
3rd ISMC Conference ─ Advances in Modeling Soil Systems
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

A computational history and outlook of nitrogen use efficiency and precipitation-optimal fertilisation timings in agriculture

Daniel McKay Flecher1, Siul Ruiz1, Tiago Dias1, Katherine Williams1, Chiara Petroselli1, Davey Jones2,3, David Chadwick2, and Tiina Roose1
Daniel McKay Flecher et al.
  • 1Faculty of Engineering and Physical Sciences, University of Southampton, UK (dmmf1d19@soton.ac.uk)
  • 2School of Natural Science, Environment Centre Wales, Bangor University, Bangor, Gwynedd, UK
  • 3UWA School of Agriculture and Environment, The University of Western Australia, Perth, Australia

Half of the nitrogen applied to arable-fields is lost through several processes linked to soil moisture. Low soil moisture limits nitrogen mobility reducing nitrogen-uptake while wetter conditions can increase nitrogen leaching. Rainfall ultimately governs soil moisture and the fate of nitrogen in soil. However, the interaction between rainfall and nitrogen use efficiency (NUE) remains poorly understood.

We developed a field-scale modelling platform that describes coupled water and nitrogen transport, root growth and uptake, rainfall, the nitrogen-cycle and leaching to assess the NUE of split fertilisations with realistic rainfall patterns. The model was solved for every possible split fertilisation timing in 200+ growing seasons to determine optimal timings. Two previous field trials regarding rainfall and NUE had contrasting results: wetter years have enhanced fertiliser loss and drier years reduced plant nitrogen uptake. By choosing appropriate fertilisation timings in the model we could recreate the two contrasting trends and maintain variability in the data. However, we found by choosing other fertilisation timings we could mitigate the leaching in wetter years. Optimised timings could increase plant nitrogen uptake by up to 35% compared to the mean in dry years. Plant uptake was greatest under drier conditions due to mitigated leaching, but less likely to occur due to low nitrogen mobility. Optimal fertilisation timings varied dramatically depending on the rainfall patterns. Historic and projected rainfall patterns from 1950-2069 were used in the model. We found optimal NUE has a decrease from 2022-2040 due to increased heavy rainfall events and optimal fertilisation timings are later in the season but varied largely on a season-to-season basis.

The results are a step towards achieving improved nitrogen efficiency in agriculture by using the ‘at the right time’ agronomic-strategy in the ‘4Rs’ of improved nitrogen fertilisation. Our results can help determine nitrogen fertilisation timings in changing climates.

How to cite: McKay Flecher, D., Ruiz, S., Dias, T., Williams, K., Petroselli, C., Jones, D., Chadwick, D., and Roose, T.: A computational history and outlook of nitrogen use efficiency and precipitation-optimal fertilisation timings in agriculture, 3rd ISMC Conference ─ Advances in Modeling Soil Systems, online, 18–22 May 2021, ISMC2021-11, https://doi.org/10.5194/ismc2021-11, 2021.