Wheat (Triticum aestivum L.) Reaction to New Bifunctional Carbamate Compounds
Bibliographic record
Abstract
Extreme environmental conditions increase the risk of abiotic stresses in plants, which reduce productivity of land. The investigation and developmentof synthetic approach to new antistress compounds, increasing the resistance of plants to negative factors, are relevant to the present. The objective of this study was to synthesize and to test the effect of a series of new carbamate and oxamate plant growth regulators on early vegetation processes of wheat (Triticum aestivum L.). Three independent series of experiments were conducted using lipophilic compounds N-(2,4-Dimethylphenyl)-N’-i-propoxycarbonylaminoethylurea (1) and O-Isopropyl-N-[2-(4-methylphenylaminocarbonyloxy)etyl]oxamate (2) and water-soluble compounds O-i-Propyl-N-(2-hydroxyethylamino)carbamate (3) and O-i-Propyl-N-(2-hydroxyethyl)oxamate (4). Strong stimulating effect on shoots and roots growth in the wheat was found for all studied compounds in all experiments. The highest germination rate (89.6-96.3%) was registered for compound 4. The use of the studied substances 1, 3 and 4 in all cases leads to significant increase in the Seedling Vigor Index (SVI). The high energy index of compounds 3 and 4 can lead to increased photosynthesis and, as a result, to an increase in crop yield. Based on the data obtained on the values of relative water content (RWC) indicators and their components, it can be assumed that all plants after treatment with substances 1-4 are able to tolerate unfavorable weather phenomena. Experimental results show that the percentage of plant recovery after resuming watering was 84-100%. Thus, the data obtained indicate that the synthesized compounds exhibit antistress and growth regulatory activity.
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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".