Arbuscular mycorrhizal fungi in field crop production: Potential and new direction
Bibliographic record
Abstract
Arbuscular mycorrhizal fungi (AMF) are multipurpose organisms with complex ecological ramifications in the soil system that have been difficult to study and understand. The phytocentric concept of AMF that has prevailed since the naming of these organisms is being replaced by a holistic vision recognizing that AMF are a key element of soil functioning and health rather than a plant root component. Recent advances in knowledge brought about by new techniques for soil microbiology research open the way to AMF management in crop production. Arbuscular mycorrhizal fungi may influence crop development, even in phosphorus-rich soils. However, growing crops in soil with lower fertility would optimize the expression of the multiple beneficial effects of AMF in agro-ecosystem and reduce nutrient seepage to the environment. The consideration of the soil mycorrhizal potential within the framework of soil testing and fertilization recommendations, the development of improved inoculants and signal molecules to manipulate AMF and the development of cultivars with improved symbiotic qualities would insure the production of good crop yields while improving agroecosystems’ sustainability. Key words: Arbuscular mycorrhizal fungi management, field crop production, agriculture, soil quality, arbuscular mycorrhizal effect
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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".