Exogenous application of methyl jasmonate alters <i>Pinus resinosa</i> seedling response to simulated frost
Bibliographic record
Abstract
Physical stresses, such as exposure to cold, can affect plant recruitment, survival, and demography. The ability of plants to tolerate physical stress, however, may depend upon the co-occurrence of other stresses. For example, although plants undergo physiological changes to increase defense against herbivores, it is unknown whether chemical signaling associated with herbivory can alter plant tolerance to cold. We tested the hypothesis that both tissue removal and chemical induction (via exogenous application of 1 mmol/L methyl jasmonate [MeJA]) would alter cold tolerance of seedlings of Pinus resinosa Aiton. Application of MeJA resulted in 18% less foliar tissue damage compared with the control plants (estimated via foliar electrolyte leakage) following a simulated frost. Leaf tissue removal similarly limited the extent of cold damage on P. resinosa seedlings. Growth in seedlings not treated with MeJA was slower than that of seedlings treated with MeJA following exposure to the simulated frost. Our work indicates that secondary responses via MeJA induction can alter tree seedling response to cold and may (i) help explain natural patterns of variation in plant performance, and (ii) be leveraged to facilitate agricultural plant tolerance to physical stresses under increasingly variable climate conditions.
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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".