Asparagus cultivars with varying adaptation to southern Ontario differ for induction of freezing tolerance in the fall
Bibliographic record
Abstract
Asparagus (Asparagus officinalis L.) cultivars differ for adaptation in southern Ontario, and delayed or decreased acquisition of freezing tolerance in the fall could explain, in part, the diminished longevity observed in some germplasm. A field study was conducted to determine the relationship between LT50, the lethal temperature at which 50% of plants die, and physiological parameters related to freezing tolerance, in three cultivars with varying adaptation in southern Ontario: Guelph Millennium (GM) > Jersey Giant (JG) > UC 157 (UC). The experiment was replicated at two sites in one location, in each of two years. LT50 values for GM were lower (increased freezing tolerance) than those for UC in early October; levels for JG were intermediate. In late-October and early-November, the cultivars did not differ. Increased freezing tolerance was associated with high low-molecular-weight fructan (LF), protein and proline concentrations and low sucrose concentration in the rhizome, and high sucrose and proline concentrations and low LF concentration in the storage roots. Acclimation traits were generally consistent over years and deviations may have been related to differing temperature profiles. Results indicate that winter survival of asparagus is in part determined by timely fall acclimation allowing plants to survive exposure to early frosts.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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 | 0.000 |
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".