Arable soil nitrogen dynamics reflect organic inputs via the extended composite phenotype
Achieving food security requires resilient agricultural systems with improved nutrient-use efficiency, optimized water and nutrient storage in soils, and reduced gaseous emissions. Success relies on understanding coupled nitrogen and carbon metabolism in soils, their associated influences on soil structure and the processes controlling nitrogen transformations at scales relevant to microbial activity. Here we show that the influence of organic matter on arable soil nitrogen transformations can be decoded by integrating metagenomic data with soil structural parameters. Our approach provides a mechanistic explanation of why organic matter is effective in reducing nitrous oxide losses while supporting system resilience. The relationship between organic carbon, soil-connected porosity and flow rates at scales relevant to microbes suggests that important increases in nutrient-use efficiency could be achieved at lower organic carbon stocks than currently envisaged.
| Item Type | Article |
|---|---|
| Open Access | Green |
| Additional information | This research was supported by UKRI’s Biotechnology and Biological Science Research Council (BBSRC)-funded Soil to Nutrition strategic program (BBS/E/C/000I0310 and BBS/E/C/000I0320). The Broadbalk Wheat Experiment is part of the Rothamsted Long-term Experiments National Capability supported by BBSRC (BBS/E/C/000J0300) and the Lawes Agricultural Trust. LJG and RK were supported by the Hartree National Centre for Digital Innovation, a collaboration between UKRI Science and Technology Facilities Council and IBM Research Europe. |
| Keywords | Soil, Composite phenotype, Nitrogen, Nitrous oxide, Wheat, Organic matter |
| Project | S2N - Soil to Nutrition - Work package 1 (WP1) - Optimising nutrient flows and pools in the soil-plant-biota system, S2N - Soil to Nutrition - Work package 2 (WP2) - Adaptive management systems for improved efficiency and nutritional quality, The Rothamsted Long Term Experiments [2017-2022] |
| Date Deposited | 05 Dec 2025 10:31 |
| Last Modified | 21 Jan 2026 17:23 |
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