Assessing the progress of colonization by arbuscular mycorrhiza of four plant species under different temperature regimes
Bibliographic record
Abstract
Abstract To capitalize on the benefits offered by arbuscular mycorrhizal fungi (AMF) in agricultural systems, the effect of low soil temperature has to be taken into consideration over large areas of the planet. However, the effect of suboptimal root‐zone temperatures on AMF colonization is poorly understood. It has been suggested that it depends on the host plant species. We hypothesized that this interdependence is a function of the parameter used to assess the presence of AMF in the roots. In a pot experiment with non‐sterilized soil, we investigated the influence of three soil temperatures (10, 15, and 20°C) on the progress of root colonization of four host plant species ( Ornithopus compressus, Lolium rigidum, Triticum aestivum , and Zea mays ) by indigenous AMF. Plant root density, arbuscular colonization rate (AC) and colonized root density (CRD) were assessed 14, 28, and 42 d after sowing. Based on CRD, the effect of temperature on the progress of root colonization by AMF was independent of the host plant species. The apparent influence of the host plant species was only due to the species‐specific effect of soil temperature on root growth and therefore on AC. The host plant species only determined the minimum temperature for the AM colonization initiation, possibly due to species‐specific response of root growth and exudation to cool temperatures.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".