Fertilization and water stress interactions in young <i>Eucalyptus grandis </i>plants
Bibliographic record
Abstract
We determined whether fertilization with N and P affects water relations, and thereby water-stress tolerance, in young Eucalyptus grandis plants. To assess whether fertilization enhances osmotic adjustment under drought, 3-month-old E. grandis were planted in pots and fertilized with either N (1 g of urea) or P (12 g of calcium super phos phate). The soil was watered to attain one of two conditions: field capacity and 0.8 MPa. P fertilization when plants were well watered conditions increased solute accumulation, which might confer better performance under water stress. However, under water-stress conditions, nonfertilized and N-fertilized plants showed osmotic adjustment, while P-fertilized plants did not. P fertilization increased dry-mass allocation to leaves and decreased allocation to roots even under water-stress conditions. N-fertilized plants increased allocation to roots and maintained allocation to leaves under water-stress conditions in comparison with control plants, so they were not affected by water stress as much as P-fertilized plants were. This may explain why P fertilization increased growth when water was not limiting but had no effect under drought conditions. In the long term, changes in dry-mass allocation caused by P fertilization might increase susceptibility to water deficit.
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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".