Integrating microbial ecology principles into growing media formulation for reliable biological functions

Horticultural growing media (GM) are increasingly expected to provide reliable biological functions, yet microbial inoculants and native microbiota often perform inconsistently. We argue that this variability arises because GM are currently mainly formulated through physical and chemical criteria, while microbial ecology remains insufficiently integrated. In this perspective, GM are reframed as engineered, partially self-organizing microbial ecosystems shaped by resource quality, stoichiometric balance, physicochemical filtering and microbial community assembly. We propose an ecology-driven framework for interpreting decomposition, nutrient dynamics, disease suppression and inoculant performance in GM. This perspective outlines priorities for predictive GM design, including biologically relevant descriptors, explicit system boundaries, cross-GM validation, temporal sampling and integration with monitoring tools.

Authors

Institutions

Publication Details

Journal
Frontiers in Horticulture
Published
2026-05-01
DOI
https://doi.org/10.3389/fhort.2026.1794701
Primary Topic
Composting and Vermicomposting Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Integrating microbial ecology principles into growing media formulation for reliable biological functions

Jean‐Charles Michel, Anna Karin Rosberg, Brechtje de Haas, Jane Debode et al.
Frontiers in Horticulture
Composting and Vermicomposting Techniques
article

Integrating microbial ecology principles into growing media formulation for reliable biological functions

Jean‐Charles Michel, Anna Karin Rosberg, Brechtje de Haas, Jane Debode, Beatrix W. Alsanius
article en

Abstract

Horticultural growing media (GM) are increasingly expected to provide reliable biological functions, yet microbial inoculants and native microbiota often perform inconsistently. We argue that this variability arises because GM are currently mainly formulated through physical and chemical criteria, while microbial ecology remains insufficiently integrated. In this perspective, GM are reframed as engineered, partially self-organizing microbial ecosystems shaped by resource quality, stoichiometric balance, physicochemical filtering and microbial community assembly. We propose an ecology-driven framework for interpreting decomposition, nutrient dynamics, disease suppression and inoculant performance in GM. This perspective outlines priorities for predictive GM design, including biologically relevant descriptors, explicit system boundaries, cross-GM validation, temporal sampling and integration with monitoring tools.

Frontiers in HorticultureVol. 5
Institut Agro Rennes-Angers (FR), Vlaams Instituut voor Biotechnologie (BE), Swedish University of Agricultural Sciences (SE), Ghent University (BE)
Openalex Percentile: Top 11%
Composting and Vermicomposting Techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.