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

Lutz, Stefanie; Bodenhausen, Natacha; Hess, Julia; Valzano-Held, Alain; Waelchli, Jan; Deslandes-Hérold, Gabriel; Schlaeppi, Klaus; van der Heijden, Marcel G A (2023). Soil microbiome indicators can predict crop growth response to large-scale inoculation with arbuscular mycorrhizal fungi. Nature microbiology, 8(12), pp. 2277-2289. Springer Nature 10.1038/s41564-023-01520-w

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Alternative solutions to mineral fertilizers and pesticides that reduce the environmental impact of agriculture are urgently needed. Arbuscular mycorrhizal fungi (AMF) can enhance plant nutrient uptake and reduce plant stress; yet, large-scale field inoculation trials with AMF are missing, and so far, results remain unpredictable. We conducted on-farm experiments in 54 fields in Switzerland and quantified the effects on maize growth. Growth response to AMF inoculation was highly variable, ranging from -12% to +40%. With few soil parameters and mainly soil microbiome indicators, we could successfully predict 86% of the variation in plant growth response to inoculation. The abundance of pathogenic fungi, rather than nutrient availability, best predicted (33%) AMF inoculation success. Our results indicate that soil microbiome indicators offer a sustainable biotechnological perspective to predict inoculation success at the beginning of the growing season. This predictability increases the profitability of microbiome engineering as a tool for sustainable agricultural management.

Item Type:

Journal Article (Original Article)

Division/Institute:

08 Faculty of Science > Department of Biology > Institute of Plant Sciences (IPS)

UniBE Contributor:

Deslandes, Gabriel

Subjects:

500 Science > 580 Plants (Botany)

ISSN:

2058-5276

Publisher:

Springer Nature

Language:

English

Submitter:

Pubmed Import

Date Deposited:

30 Nov 2023 15:17

Last Modified:

21 Dec 2023 13:25

Publisher DOI:

10.1038/s41564-023-01520-w

Related URLs:

PubMed ID:

38030903

BORIS DOI:

10.48350/189650

URI:

https://boris.unibe.ch/id/eprint/189650

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