Atmospheric nitrogen dioxide at ambient levels stimulates growth and development of horticultural plants
Bibliographic record
Abstract
We recently discovered that atmospheric nitrogen dioxide (NO2) at ambient levels acts as a signal to Nicotiana plumbaginifolia Viviani, causing these plants to double both their biomass and all of the cell contents. Herein, we addressed whether this effect of NO2 is also observed in various horticultural plants. Lettuce ( Lactuca sativa L.), sunflower ( Helianthus annuus L.), cucumber ( Cucumis sativus L.), and pumpkin ( Cucurbita moschata Duch. ex Lam.) were grown with 50, 200, 100, and 200 µL·L–1, respectively, of air supplemented with stable isotope-labelled (15N) NO2, for 5−6 weeks. Control plants were grown without NO2 (<5 µL·L–1). All plants were irrigated with nonlabelled nitrate. The presence of NO2 doubled both the aboveground and belowground biomass in sunflowers compared with their growth in the absence of NO2, whereas lettuce, cucumber, and pumpkin doubled in aboveground biomass only. Contents per shoot of carbon (C), nitrogen (N), phosphorus (P), potassium (K), calcium (Ca), and magnesium (Mg) were almost doubled during the “NO2-enhanced” growth in lettuce, but not in other plants. Mass spectrometry analysis of 15N/14N indicated that only a minor proportion (0.2%–14%) of total plant N was derived from NO2, implying that exogenous NO2 acts as a signal rather than a significant nutrient source in horticultural plants.
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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".