Identification of unique osmotic response mechanisms in Aegilops biuncialis Vis. compared to Triticum aestivum L. Mv9kr1
Bibliographic record
Abstract
A wild relative of wheat is goatgrass (Aegilops biuncialis Vis., Ae.b.), that has genotypes exhibiting better drought tolerance than bread wheat, and which can be used as gene sources for breeders to reduce stress-induced yield loss of wheat. This study compared the osmotic stress [33 mM polyethylene glycol (PEG), 5 days] response of two Ae.b. accessions (Ae.b. 382 from dry habitat and Ae.b. 642 from rainy habitat), and the drought-tolerant wheat variety Mv9kr1. The aim of the experiment was to identify unique response mechanisms in Ae.b. reducing the harmful effects of osmotic stress, compared to wheat. The osmotic treatment generally decreased FW and length of Ae.b. 382 and Mv9kr1 but not in Ae.b. 642. Some parameters exhibited equal trends across genotypes, such as the activation of GR, or the upregulation of an ABA-MYB2-ferulic acid signalling chain. Several variables showed distinct levels in Ae.b. 642, such as APX activity, JA and SA analogue levels, or several phenolic compounds exhibiting antioxidant properties, such as vanillic acid, luteolin or apigenin. Such observed differences may partly explain the better stress-tolerance of Ae.b. 642. The experiment revealed that both Ae.b. 382 and Ae.b. 642 exhibit a strongly different pattern in the investigated parameters, compared to Mv9kr1, with the differences most prominent between Ae.b. 642 and Mv9kr1. The introduction of related Ae.b. genes into new wheat cultivars could be useful for the improvement of stress tolerance.
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.
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".