Effects of Exogenous Abscisic Acid on Carbohydrate Metabolism and the Expression Levels of Correlative Key Enzymes in Winter Wheat under Low Temperature
Bibliographic record
Abstract
Two wheat (Triticum aestivum) cultivars, freeze-tolerant Dongnongdongmai 1 and freeze-sensitive Jimai 22, were used in this study. They were grown under field conditions, the leaves were sprayed with 1 × 10(-5) mol/L ABA and distilled water as control respectively at the three-true-leaf stage. Application of exogenous ABA increased the accumulation of carbohydrates in both cultivars, mainly in sucrose and fructose, except that the fructose content decreased in the leaves of Jimai 22. Exogenous ABA also enhanced the expression of key enzyme genes, especially in Dongnongdongmai 1 above 0 °C and in Jimai 22 below 0 °C. The carbohydrate contents and expression levels of the genes encoding key enzymes showed co-regulation in some, but not all of the pathways examined. Taken together, the higher sugar accumulation and the upregulation in expression of key enzymes in freeze-tolerant Dongnongdongmai 1 due to exogenous ABA suggest that active carbohydrate metabolism is mainly associated with the freeze tolerance of Dongnongdongmai 1.
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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) | 0.000 | 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 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".