Pulse Brain · Growing Health Evidence Index
Tier 3 — Observational / field trialPeer-reviewed

Soil microbiome indicators can predict crop growth response to large-scale inoculation with arbuscular mycorrhizal fungi

Stefanie Lutz, Natacha Bodenhausen, Julia Heß, Alain Valzano‐Held, Jan Waelchli, Gabriel Deslandes‐Hérold, Klaus Schlaeppi, Marcel G. A. van der Heijden

Nature Microbiology · 2023

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Summary

This on-farm field trial across 54 Swiss maize fields demonstrates that soil microbiome indicators can reliably predict crop growth response to AMF inoculation, with predictive models explaining 86% of observed variation. The abundance of pathogenic fungi, rather than soil nutrient availability, emerged as the strongest single predictor of inoculation success. The findings suggest that pre-season microbiome profiling offers a practical biotechnological tool to improve the profitability and sustainability of microbial inoculation strategies in agriculture.

UK applicability

The methodological approach is directly applicable to UK cereal production systems, where maize and similar crops face comparable soil microbial contexts and environmental conditions. However, predictive models derived from Swiss soil conditions may require local validation before implementation at scale in UK farms.

Key measures

Maize growth response to AMF inoculation (−12% to +40%); soil microbiome composition; abundance of pathogenic fungi; soil nutrient availability; predictive accuracy of variation in plant growth response (86%)

Outcomes reported

The study quantified maize growth response to arbuscular mycorrhizal fungi (AMF) inoculation across 54 Swiss fields and developed predictive models using soil microbiome indicators. Growth responses ranged from −12% to +40%, and soil microbiome composition predicted 86% of variation in plant growth response to inoculation.

Theme
Farming systems, soils & land use
Subject
Soil biology & microbiology
Study type
Research
Study design
Field trial
Source type
Peer-reviewed study
Status
Published
Geography
Switzerland
System type
Arable cereals
DOI
10.1038/s41564-023-01520-w
Catalogue ID
BFmor3gc43-pf4hj8

Topic tags

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