Effects of day and night air temperature on growth, productivity and energy use of long English cucumber
Bibliographic record
Abstract
To determine the optimum air temperature regime for greenhouse seedless cucumber production under North American conditions, the cvs. Corona (in the spring of 1990 and 1992) and Aramon (in the spring of 1992) were grown under nine day/night temperature regimes composed of a factorial combination of three day (18, 21 and 24 °C; DT) and three night (16, 18 and 20 °C; NT) heating temperatures, at a common 24 °C ventilation temperature. Plant development rates (leaf and flower number) were linearly increased with increasing daily average air temperature (MT), but not affected by day–night air temperature difference (DIF), indicating that plant development rates increased with increasing air temperature regardless of DT or NT. Specific leaf weight decreased with increasing DT or NT, and leaf photosynthesis rates decreased with increasing DT. Therefore, high DT or NT promoted the growth rates of young cucumber plants mainly through increasing leaf area ratios. Early and final yields of Corona were mainly affected by MT, not by DIF, while early and final yields of Aramon were mainly increased by DIF. Fruit size increased with increasing MT. Optimum MT for Corona fruit production was 19 °C heating temperature, at a 24 °C ventilation temperature. Optimum day/night air temperature regime for Aramon fruit production was at 21/16 °C day/night heating temperature, at a 24 °C ventilation temperature. Key words: Cucumis sativus, growth, yield, fruit size, daily average air temperature, day-night air temperature difference
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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".