The Effect of Drought Stress and Decreasing Daylengths on the Acquisition of Freezing Tolerance in Asparagus (Asparagus officinalis L.) under Controlled Conditions
Bibliographic record
Abstract
The acquisition of freezing tolerance is a complex and vital process for asparagus grown in temperate regions. The impact of drought and decreasing photoperiods on this trait were explored using two cultivars with varying adaptation to Southern Ontario: Guelph Millennium (GM), bred locally, and UC157 (UC), bred in California, USA. Drought stress including that before cold acclimation increased freezing tolerance for GM compared to UC. Differing adaptative strategies to drought were found through cultivar-specific changes in root:shoot ratio, crown water percentage, and sucrose/glucose concentrations. Decreasing photoperiods did not impact freezing tolerance, although combined with cold temperatures diminished root:shoot ratio and increased crown water percentage in UC; GM was non-affected. Decreasing photoperiods under warm conditions caused elevated concentrations of crown high-molecular-weight fructan, decreased glucose and proline in GM compared to UC. Varietal differences in response to drought and decreasing photoperiod could be used for the selection of new asparagus cultivars.
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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 | 0.000 | 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 | 0.000 |
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".