Impact of arbuscular mycorrhizal fungi on N and P cycling in the root zone
Bibliographic record
Abstract
The influence of arbuscular mycorrhizal fungi (AMF) on soil processes is difficult to define, in part because it varies with the plant and fungal geno types as well as with environmental conditions. The influence of AMF on N cycling is just being discovered. This short review examines areas of knowledge related to the nature of the mycorrhizosphere, AMF-microbe interactions, and N and P mobilization in the root zone. The role AMF could play in the root zone in N and P dynamics is presented. The spatial organization of roots and hyphae in soil suggests that AMF may enhance the reabsorption of nutrients lost through root exudation. These fungi influence soil microorganisms and, hence, they may influence biochemical reactions in soil including mineralization of organic matter and nitrification. AMF seem to improve the capacity of their host plant to use organic sources of P and N. AMF might improve the ability of plants to compete with saprotrophs for the uptake of P and N. The impact from this latter effect of AMF could exceed that stemming from their possible direct use of amino-acid-N, their production of phosphatase enzymes and possibly of organic anions. Better competitive ability of mycorrhizal plants under conditions of low soil P and N levels could reduce saprotrophic populations and, if this occurs, regulate soil organic matter turnover rate. The management of biological soil resources, in truly sustainable cropping systems, may be the largest challenge in crop production. Key words: Arbuscular mycorrhizal fungi, soil functioning, nitrogen cycling, phosphorus cycling, soil fertility, soil microbial community
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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".