Effects of ABA and NaCl on physiological responses in selected bryophyte species
Bibliographic record
Abstract
The effects of NaCl and abscisic acid (ABA) on selected bryophyte species were studied. Two phylogenetically unrelated halophyte mosses, namely, Entosthodon hungaricus (Boros) Loeske and Hennediella heimii (Hedw.) R.H. Zander in addition to one model non-halophyte moss, Physcomitrella patens (Hedw.) Bruch & Schimp, were selected to compare the variability in certain biochemical and physiological parameters under salt-stress alone and salt-stress upon ABA pretreatment. The results showed different patterns of effects from ABA in all three of the studied species, as well as no common response to salt stress. In general, all of the tested species reacted to exogenous ABA, which definitely contributed to changes observed in morphological development under salt stress, and to the functioning of the salt-tolerance mechanisms. Physcomitrella patens proved to be a salt-tolerant species. Although it is not ecologically classified as a halophyte, these results highlighted that various stress-resistance pathways are supported by similar reactions to different stresses. Significant differences in stress tolerance were documented between the two bryo-halophytes tested by comparing biochemical and physiological parameters. Our findings suggest that different salt-stress-tolerance strategies characterize these two species, both enhanced by exogenous ABA.
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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".