Diversity of Native Endomycorrhizal Fungi in Selected Strawberry Field Soils of Southern Quebec
Bibliographic record
Abstract
Prolific sporulation exhibited by some indigenous endomycorrhizal fungus species in agricultural field soils is not necessarily synonymous with effective plant root colonization. To determine whether proliferating fungus species found in field soils are the species actually colonizing host plant roots, arbuscular mycorrhizal fungi (AMF) were collected and identified from strawberry field soils and in root-initiated greenhouse trap cultures of sorghum and strawberry. The composition of AM fungus species from strawberry field soils did not perfectly match the fungus populations recovered from the root-initiated successive trap cultures. The study detected ten AM fungus species, half of which were found in trap cultures but not in the field soil samples. AMF species displayed different sporulation patterns with varying spore densities depending on the sample sites, the number of trap culture cycles, and the bait host plant. Glomus mosseaeand G. macrocarpumwere detected at two of the three sampling sites, across all of the trap cultures, regardless of the test plant involved. G. constrictumand Sclerocystis rubiformiswere detected initially in the strawberry field soils, but could not be recovered throughout successive bait cultures. The study emphasizes both the merits and the limits of spores as a tool for AM species detection.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".