Photosynthetic Response of Carrots to Varying Irradiances, CO2 Concentrations, Moisture, and Nutrition
Bibliographic record
Abstract
Genotypes and environmental parameters interactively act on plants and modify their yield responses through modifying photosynthetic processes. In order to optimize yield, it is critical to understand the photosynthetic behavior of the crop as altered by genotypes and environment. Leaf gas exchange parameters of carrot ( Daucus carota L.) cultivars Cascade, Carson, Oranza, and Red Core Chantenay (RCC) were examined in response to various irradiances, fertility levels, moisture regimes, and to elevated CO 2 concentrations. Leaf net photosynthetic rate (P N ), stomatal conductance (g s ), and transpiration rate (E) were measured. Cultivars responded similarly to increasing PAR and CO 2 concentrations and did not differ in photosynthetic parameters. Increasing PAR from 100 to 1000 μmol·m -2 ·s -1 increased P N , which did not reach saturation. The g s and E increased to a peak between 600 and 800 μmol·m -2 ·s -1 , then rapidly declined, resulting in a sharp increase in water use efficiency (WUE). Increasing CO 2 concentrations from 50 to 1050 μmol·mol -1 increased P N until saturation at 650 μmol·mol -1 . The g s and E increased to a peak at 350 μmol·mol -1 and then declined. WUE increased linearly with increasing CO 2 . Carrots exposed to drought over a period of 5 days decreased P N and E. The P N decrease was cultivar specific. Nutrient concentrations of 0 to 400 ppm gave a similar pattern of decrease for P N , E, and g s . Treatment of 50 ppm had the highest P N , E, and g s . The WUE generally increased with increasing nutrient concentration.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".