Application of abscisic acid regulates antioxidant enzymes activities and modulates endosperm cell division in winter wheat
Bibliographic record
Abstract
Effects of exogenous abscisic acid (ABA) on antioxidant enzymes activities and endosperm cell division of two wheat (Triticum aestivum L.) cultivars were investigated. Results showed that the superoxide dismutase (SOD), peroxidase (POD), and catalase (CAT) activity in flag leaves of both cultivars is elevated by application of ABA and it is correlated with less membrane damage: lower malondialdehyde (MDA). Exogenous ABA significantly increased endosperm cell number and endosperm division rate, finally increased grain weight. Although ABA treatment decreased endogenous zeatin riboside (ZR) content in flag leaves from 7 to 28 days after anthesis (DAA), indole acetic acid (IAA) levels were significantly increased by spraying with ABA. Correlation analysis showed that endogenous contents of ZR, ABA, and IAA in grains were positively and significantly correlated with grain-filling rate. IAA content in leaves was positively and significantly correlated with grain-filling rate. The results suggested that increased grain weight of ABA-treated plants was due to higher antioxidant abilities of flag leaf resulting in longer maintenance of photosynthetic capacity and higher grain-filling rate.
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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".