A modelling framework for assessing the plausible impacts of biological nitrification inhibition in cropping systems
| dc.contributor.author | Garba, Ismail I. | en |
| dc.contributor.author | Buss, Wolfram | en |
| dc.contributor.author | Wang, Enli | en |
| dc.contributor.author | O'Sullivan, Cathryn A. | en |
| dc.contributor.author | Gupta, Vadakattu V.S.R. | en |
| dc.contributor.author | Bentley, Alison R. | en |
| dc.contributor.author | Verburg, Kirsten | en |
| dc.date.accessioned | 2026-02-07T11:41:01Z | |
| dc.date.available | 2026-02-07T11:41:01Z | |
| dc.date.issued | 2026 | en |
| dc.description.abstract | CONTEXT: Retaining nitrogen (N) in soils in the form of ammonium (NH4+) by inhibiting nitrification has been proposed as a strategy to reduce N gaseous losses and nitrate (NO3-) leaching. Biological nitrification inhibition (BNI) involves the release of natural metabolites from crop roots that suppress nitrifying microbes. Unlike synthetic nitrification inhibitors BNIs act directly in the rhizosphere and may provide a more spatially and temporally sustained inhibition. Because BNI effectiveness depends on crop species, and interactions with biophysical factors, a systems modelling approach is needed to assess its plausible benefits in cropping systems. OBJECTIVE: (1) develop a BNI model suitable for integration into systems models, enabling simulation of BNI release, fate, and bioactivity within cropping systems, and (2) use the model in-silico to illustrate how system interactions influence BNI impacts. METHODS: A BNI subroutine was developed and integrated into the Agricultural Production Systems sIMulator (APSIM) Next Generation to model BNI exudation, bioactivity, fate, and persistence in soil. Simulations for wheat, canola and sorghum were conducted to assess its plausible effects on N cycling and crop productivity. RESULTS AND CONCLUSIONS: Four prerequisite conditions under which within-season plausible N loss and yield benefits may be realized from BNI: (i) adequate root growth and BNI release achieving effective bioactivity, (ii) BNI persistence with slow degradation at most 50% daily degradation to ensure longevity of inhibition, (iii) the crop being able to take up N in both NH4+ and NO3- forms ensuring that ‘saved N’ is assimilated and (iv) occurrence of N loss events when BNI is active. When these conditions co-occurred, simulated systems showed decreased N loss, and/or yield responses. SIGNIFICANCE: The integrated APSIM-BNI framework provides a tool for exploring where and when BNI may deliver agronomic and environmental benefits and guiding future field experiment and trait improvement efforts. | en |
| dc.description.sponsorship | This study was financially supported by the Grains Research and Development Corporations (GRDC), CSIRO and the Australian National University (ANU) as part of the national project ‘Modelling plausible impacts of Biological Nitrification Inhibition in Australian farming systems’ (Grant No. CSP2406-021RTX). Acknowledgment is made to the APSIM Initiative which takes responsibility for quality assurance and a structured innovation programme for APSIM’s modelling software, which is provided free for research and development use (see www.apsim.info for details). The authors thank Dean Holzworth, Heather Pasley, and Anthony van Herwaarden for their constructive suggestions on improving an earlier version of this manuscript. | en |
| dc.description.status | Peer-reviewed | en |
| dc.format.extent | 18 | en |
| dc.identifier.issn | 0308-521X | en |
| dc.identifier.other | ORCID:/0000-0001-5519-4357/work/204508645 | en |
| dc.identifier.other | ORCID:/0000-0002-9653-0895/work/204512932 | en |
| dc.identifier.scopus | 105023965501 | en |
| dc.identifier.uri | https://hdl.handle.net/1885/733805323 | |
| dc.language.iso | en | en |
| dc.provenance | This is an open access article under the CC BY-NC license (http://creativecommons.org/licenses/bync/4.0/). | en |
| dc.rights | © 2025 The Authors | en |
| dc.source | Agricultural Systems | en |
| dc.subject | APSIM | en |
| dc.subject | BNI activity | en |
| dc.subject | N cycling | en |
| dc.subject | Nitrous oxide emission | en |
| dc.subject | Root exudates | en |
| dc.title | A modelling framework for assessing the plausible impacts of biological nitrification inhibition in cropping systems | en |
| dc.type | Journal article | en |
| dspace.entity.type | Publication | en |
| local.contributor.affiliation | Garba, Ismail I.; CSIRO | en |
| local.contributor.affiliation | Buss, Wolfram; Division of Plant Sciences, Research School of Biology, ANU College of Science and Medicine, The Australian National University | en |
| local.contributor.affiliation | Wang, Enli; CSIRO | en |
| local.contributor.affiliation | O'Sullivan, Cathryn A.; CSIRO | en |
| local.contributor.affiliation | Gupta, Vadakattu V.S.R.; CSIRO | en |
| local.contributor.affiliation | Bentley, Alison R.; Division of Plant Sciences, Research School of Biology, ANU College of Science and Medicine, The Australian National University | en |
| local.contributor.affiliation | Verburg, Kirsten; CSIRO | en |
| local.identifier.citationvolume | 232 | en |
| local.identifier.doi | 10.1016/j.agsy.2025.104569 | en |
| local.identifier.pure | e2e1c616-acb2-42c3-9f82-b18dddea9184 | en |
| local.identifier.url | https://www.scopus.com/pages/publications/105023965501 | en |
| local.type.status | Published | en |
Downloads
Original bundle
1 - 1 of 1
Loading...
- Name:
- 1-s2.0-S0308521X25003099-main.pdf
- Size:
- 4.29 MB
- Format:
- Adobe Portable Document Format