Projects per year
Abstract
Global food production depends on the application of phosphorus (P) fertilisers, usually sourced from rock phosphate, a non-renewable resource. Optimising P use to ensure sustainable P application is necessary to supply food worldwide and to protect the environment from P runoff. However, standard models used to guide P application on fields are limited due to assumptions that fail to consider the short-term dynamics of P in the soil solution. This study combined time-resolved microdialysis sampling with 4D spatial information from X-ray computed tomography to inform an image-based model for assessing P-soil-plant interactions over the start of a growing season. The time-resolved microdialysis measurements revealed that P released from the granules is rapidly removed from the soil solution in the short-term. We demonstrate that the standard equilibrium models typically used to characterise P transport in soil are not representative of the experimental system on the time scales considered. Instead, an Absorption-Diffusion model, where a single sink term accounts for all the processes removing P from the soil solution was required to correctly characterise experimental observations. Our study provides the basis for a model which could be adapted to predict within-season fertilisation scenarios in different soil conditions, and provides a conceptual description of plant/crop yield response to P fertilisation.
Original language | English |
---|---|
Article number | 109417 |
Journal | Soil Biology and Biochemistry |
Volume | 194 |
Early online date | 15 Apr 2024 |
DOIs | |
Publication status | Print publication - Jul 2024 |
Bibliographical note
Publisher Copyright:© 2024 The Authors
Keywords
- Image-based modelling
- Microdialysis
- Phosphorus
- Precision agriculture
- X-ray computed tomography
Fingerprint
Dive into the research topics of 'Microdialysis probes and digital twins reveal the rapid removal of fertiliser phosphate from the soil solution with an impact on crop nutrition in the short-term'. Together they form a unique fingerprint.Projects
- 1 Active
-
RESAS 22-27: SRUC-c5-1 Modelling The Current And Future Ghg Emissions And Wider Impacts In The Scottish Beef, Sheep And Dairy Sectors.
Eory, V. (PI), Cole, L. (CoI), MacLeod, M. (CoI), Waxenberg, K. (CoI), Cole, L. (CoI), MacLeod, M. (CoI) & Mckay Fletcher, D. (CoI)
Scottish Government: Rural & Environment Science & Analytical Services
1/04/22 → 31/03/25
Project: Research