Response of radish to light and oxygen at reduced atmospheric pressure
Bibliographic record
Abstract
Plant productivity is mediated by numerous environmental parameters and for a bioregenerative life support system to supply the needs of the crew and be sustainable with current technological limitations, photosynthesis must be optimized. The objectives of this study were to evaluate the change in the quantum efficiency of radish grown at reduced total pressures and decreased oxygen partial pressures in response to light intensity, and to determine the carbon dioxide compensation points in order to conclude whether radish plants grown under hypobaric and reduced oxygen conditions undergo an alteration in efficiency. Light response curves showed little difference in the slope or quantum yield resulting from reduced total pressure however there was a minor increasing separation between curves across the total pressures as the light level increased. The quantum yield data showed significant variation among the oxygen partial pressures with the most significant decrease at 2 kPa of oxygen. In contrast to the light response, both pressure and oxygen had a significant effect on the whole canopy carbon dioxide compensation points. Hypobaria resulted in a reduction in the carbon dioxide compensation points however the larger effect observed was that from reduced oxygen partial pressures. Compensation points fell with decreased oxygen resulting in the lowest point at 10 kPa total pressure and 2 kPa oxygen which represented only 18% of that at ambient pressure and oxygen. This study concludes that while hypobaria does exert a physiological response, the limiting factor is primarily the oxygen partial pressure required for biochemical processes.
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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 | 0.001 |
| 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".