Increasing the sink:source balance enhances photosynthetic rate of 1-year-old balsam fir foliage by increasing allocation of mineral nutrients
Bibliographic record
Abstract
To determine the impact of altering the sink:source balance on gas exchange rates in 1-year-old foliage of balsam fir (Abies balsamea (L.) Mill.), seedlings were either debudded before the growing season began or left intact. To assess alternative explanations for the observed photosynthetic response, additional seedlings were variously root pruned, shaded, drought stressed or deprived of fertilizer in combination with debudding. Foliar gas exchange rates and carbohydrate concentrations, xylem water potential and current-year growth were measured on three occasions spanning the shoot extension period. In addition, growth, foliar concentrations of chlorophyll, nitrogen, phosphorus and potassium, chlorophyll fluorescence and photosynthetic rate at different CO2 concentrations were determined 1 month after shoot extension ceased. Debudded seedlings had higher photosynthetic rates than budded seedlings, and the difference increased as the growing season progressed. We observed no evidence that debudding increased photosynthetic rate by improving water relations or by reducing foliar carbohydrate concentrations. Debudding increased foliar concentrations of nitrogen, phosphorus, potassium and chlorophyll, as well as quantum yield and photochemical quenching as determined by chlorophyll fluorescence measurements. Therefore, we conclude that debudding increased the photosynthetic rate by increasing the allocation of nutrients to 1-year-old foliage, thereby enhancing the amount or activity, or both, of photosynthetic enzymes, as well as increasing chlorophyll concentration.
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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".