Narrowband blue LEDs with different peak wavelengths similarly promote seedling elongation and have greater promotion effects than ultraviolet A and far-red in two species of Brassicaceae
Bibliographic record
Abstract
Previous studies showed pure blue (B) spectra from light emitting diodes (LEDs) can promote shade avoidance responses (SARs). However, it is unknown whether SARs vary among different peak wavelengths (λpeak) of B or how they compare with other photomorphologically-important wavebands. To answer these questions, mustard and arugula seedlings were grown to the cotyledon-unfolding stage under the following narrowband spectrum treatments: ultraviolet A (UVA) (λpeak = 385 nm), B1 (λpeak = 405 nm), B2 (λpeak = 440 nm), B3 (λpeak = 455 nm), and far-red (FR) (λpeak = 730 nm). Both red (R, λpeak = 660 nm) and dark (D) were used as control treatments. The spectrum treatments were provided at 50 µmol m −2 s −1 on a continuous basis. There were no differences among the three B treatments except for reduced mustard fresh weight in B3. Compared with R, the B treatments promoted hypocotyl elongation, reduced cotyledon size, and increased petiole length in arugula and B1 increased petiole length in mustard. Compared with the B treatments, UVA inhibited hypocotyl and petiole elongation, with responses that were similar to or greater than R in both species. Compared with the B treatments, seedlings grown under FR generally had the lowest hypocotyl and petiole elongation and the smallest cotyledons. Among the LED treatments, the three B treatments had the greatest promotional effects on plant elongation. Therefore, low-intensity B with different λpeak can similarly promote hypocotyl elongation as SARs during de-etiolation stage, and have greater promotion effects on elongation than UVA and FR.
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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 | 0.001 | 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".