Selection of white spruce families in the context of climate change: heat tolerance
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
To assess the responses and plasticity of white spruce seedlings (Picea glauca (Moench) Voss) to high temperatures, 12 open-pollinated families differing in growth performance were exposed to a 30-min heat treatment of 42, 44, 46, 48, or 50 degrees C with or without heat preconditioning at 38 degrees C for 5 h. Damage was evaluated based on chlorophyll fluorescence parameters after heat preconditioning, after the heat treatments and during a 7-day recovery period. Visible needle damage was also evaluated after the heat treatments and 14 days later. Chlorophyll fluorescence parameters indicated that seedlings subjected to a heat treatment of 42-43 degrees C lost the ability to phosphorylate and donate water to photosystem II (PSII). A heat treatment of 44-46 degrees C severely limited the ability of the seedlings to use NADPH and ATP in the Calvin cycle. Based on visible needle damage, families with superior height-growth performance were more sensitive to heat stress than families with intermediate or inferior height-growth performance. Moreover, families with superior height-growth performance had low photochemical efficiencies in the light (DeltaF/F(m)') after heat treatment. Heat preconditioning increased the thermotolerance of the seedlings. However, the data suggest that white spruce seedlings exhibiting fast-growing characteristics under present conditions may not grow as well at higher temperatures.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 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) | 0.000 | 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 it