Updates to McCree's photosynthetically active radiation curve — 55 years later
Bibliographic record
Abstract
Our interpretation of photosynthetically active radiation in plants has evolved since the 1970s with new data explaining the underlying mechanisms. To update McCree's founding work, this study explored the spectral response of photosynthesis in young tomato ( Solanum lycopersicum cv. Beefsteak) and lettuce ( Lactuca sativa cv. Breen) plants using a narrow-spectrum light unit and a portable photosynthesis system equipped with a whole plant chamber. Highly resolved spectral photosynthesis curves using 1-nm increments at 10 nm full width at half maximum (FWHM) were generated. Results show that the lowest quantum yields were observed at 450 nm and 660 nm, two wavelengths commonly used to improve photosynthesis in research. Different trends and amplified peaks were observed among the spectral quantum yield curves of tomato and lettuce plants and those of earlier studies with red and blue light. An opposing phenomenon was observed, where blue light is more efficient than red light. This is based on the narrower wavelength data acquired in both experimental plant species. Findings represent the most detailed and highly resolved spectral photosynthesis and quantum yield curves to date using experimental model plants (tomato and lettuce). • This study updates McCree's PAR curve by using 1-nm increments at 10 nm FWHM. • Lowest quantum yields are observed at 450 and 660 nm (tomato) and 420 nm (lettuce). • Green and amber regions result in high quantum yields. • Blue light is more efficient at driving photosynthesis than red light. • Compared to lettuce, tomato plants exhibited a stable quantum yield across the PAR.
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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 | 0.005 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.004 | 0.006 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.006 | 0.004 |
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".