Gewurztraminer Grapevines Respond to Length of Water Stress Duration
Bibliographic record
Abstract
Gewurztraminer grapevines planted in 1989 were subjected to one of three durations of water stress (deficits imposed at postbloom, lag phase, veraison) in combination with three vineyard floor management strategies (clean cultivated, total herbicide, permanent sod). Data were gathered on vine performance, fruit composition, and water relations from 1991-96. Yield per vine, cluster weight, and berry weight were reduced linearly with duration of water deficit. Transpiration, stomatal conductance, and leaf water potential were likewise reduced with increased duration of water stress. Titratable acidity decreased and pH increased with duration of water stress, but °Brix was unaffected. Decreasing duration of water stress increased free volatile terpenes (FVT) at harvest, as well as increased potentially volatile terpenes (PVT) at both veraison and harvest. Maintaining a permanent sod tended to reduce all yield components, especially berry weight, but basic fruit composition was unaffected. FVT were highest at both veraison and harvest in berries from clean cultivated plots; however, PVT concentration was highest in berries from permanently sodded plots. Permanent sod treatments displayed lowest transpiration rate and stomatal conductance. Monitoring physiological response (particularly stomatal conductance) of the plant to reduced soil moisture provides a reliable indication of when to relieve irrigation deficits, as opposed to relying on soil moisture monitoring and/or visual assessment of water stress.
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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".