Effects of supplemental lighting treatments on seedling growth of varied provenances in black spruce.
Bibliographic record
Abstract
To understand the seedling trait performance from different black spruce(Picea mariana) provenances with varied light treatments and to establish efficient propagation technique system with supplemental light,container seedlings of 10 black spruce provenances from Canada were treated by 3 light sources of fluorescent lamp,sunlight dysprosium lamp and tungsten lamp.The results showed that light treatment could inhibit seedling dormancy and promote sustaining growth.The seedling height by using fluorescent light for 8 hrs at midnight for 135 days could be up to 5.47 times compared with control.The effect of light sources was significant on seedling growth,shoot and root formation.The treatment for sunlight dysprosium lamps was best,and fluorescent lamp was more economical and convenient.Besides,the seedling grew well when fluorescent lamp was supplemented for 8 hrs at midnight.There were significant interaction effects on seedling traits between light sources and provenances.It was indicated that there were obvious differences for different black spruce provenances in adapting to light environment.Therefore,it should be paid more attention to select appropriate provenances for introduction experiment.The light source should be selected according to the seedling provenances to achieve the optimum breeding results.
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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".