GREENS-TYPE ANNUAL BLUEGRASS RESISTANCE TO ABIOTIC AND BIOTIC STRESSES DURING WINTER
Bibliographic record
Abstract
Unseeded annual bluegrass (Poa annua L.) is an important component of golf greens in many regions of northern countries. Although this turfgrass species has desirable playing attributes, it suffers from susceptibility to environmental and biological stresses including subfreezing temperatures, anoxia, and snow molds. During the last decade (1999-2008), we undertook a series of experiments to better understand the mechanisms of adaptation and resistance of annual bluegrass to winter biotic and abiotic stresses. When assessing freezing tolerance of three genotypes originating from North Eastern Canada and United States, we observed that the genotypes differed significantly in their freezing tolerance with an unexpected lower level of tolerance for the genotype originating from the most northern latitude, in Québec, where the depth and duration of snow cover are important factors affecting winter survival. After assessing the level of organic reserves, the results showed that the genotype originating from Québec maintained higher levels of reserves than the two other genotypes. Our studies also showed that annual bluegrass is sensitive to anoxic conditions and that its susceptibility could be linked to the reduction of organic reserves under these conditions. We observed large genetic variability for pink snow mold resistance among 29 genotypes collected on
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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 | 0.000 | 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) | 0.001 | 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 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".