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

Mckay Fletcher, Daniel, Ruiz, Siul Aljadi, Dias, T., Williams, Katherine, Petroselli, Chiara, Walker, Nancy, Catherine, Chadwick, D., Jones, D.L. and Roose, Tiina (2021) A computational history and outlook of nitrogen use efficiency and precipitation-optimal fertilisation timings in agriculture. The International Fertiliser Society Agronomic Conference, Robinson College, Cambridge, United Kingdom. 09 - 10 Dec 2021.

Abstract

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.

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Contributors

Author: Daniel Mckay Fletcher

Author: Katherine Williams

Author: Nancy, Catherine Walker

Author: Tiina Roose

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