Effect of plant age and cottony snow mold on winter survival of forage grasses
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The low temperature basidiomycete (LTB, syn. Copribus psychromorbidus Traquair), the causal agent of cottony snow mold, is a major constraint to forage grass survival and productivity in the parkland region of the Canadian prairies under prolonged snow cover (e.g., 160 d). Studies were conducted to establish the level of the snow mold resistance in seven grass species commonly grown in western Canada and to identify the seeding dates that permit grass plants to develop maximum levels of resistance to snow mold. Following attack by the LTB fungus, considerable variation in winter survival and forage yield was observed among the grass species. Smooth brome and meadow brome were most resistant, followed by timothy and creeping red fescue. Tall fescue and orchardgrass were the most susceptible. Controlled-environment and field studies demonstrated that orchardgrass seeded in late spring resulted in greater winter survival and dry matter yield than when seeded in July or August, both in snow mold inoculated and noninoculated treatments. Additional mortality and dry matter yield loss were linked to snow mold injury. These results demonstrated that snow mold injury could reduce winter survival and yield in first-year forage grasses, especially in orchardgrass, and early seeding could reduce the impact of winter stresses. Key words: Grass, orchardgrass, timothy, smooth bromegrass, meadow bromegrass, creeping red fescue
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.
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 | 0.001 |
| 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 it