Arbuscular Mycorrhiza Inoculum to Support Sustainable Cropping Systems
Bibliographic record
Abstract
Arbuscular mycorrhizae (AM) are symbiotic associations, formed between plants and soil fungi that play an essential role in plant growth, plant protection, and soil quality. The AM fungi expand their filaments in soil and plant roots. This filamentous network promote bi‐directional nutrient movement where soil nutrients and water move to the plant and plant photosynthates flow to the fungal network. AM fungi are ubiquitous in the soil and can form symbiosis with most terrestrial plants including major crops, cereals, vegetables, and horticultural plants. In agriculture, several factors, such as host crop dependency to mycorrhizal colonization, tillage system, fertilizer application, and mycorrhizal fungi inoculum's potential can affect plant response and plant benefits from mycorrhizae. Due to their obligate symbiotic status, AM fungi need to associate with plant for growth and proliferation. Consequently, the cultivation of AM fungal strains and the maintenance of reference collections require methodologies and infrastructures quite different from those used with other microbial collections and inoculum production. Interest in AM fungi propagation for agriculture is increasing due to their role in the promotion of plant health, in soil nutrition improvement, and soil aggregate stability. The comprehensive life cycle of AM fungi and methods currently used for the propagation of inoculum and the maintenance of in vivo and in vitro source collections are described. Methods and regulations of large‐scale production of commercial inoculum that provide users with products of high quality and efficiency are discussed.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".