The effects of calcium fertilization on morphological and physio-biochemical characteristics in peanut seedlings under waterlogging stress
Bibliographic record
Abstract
Peanut is vulnerable under waterlogging stress, and it is important to explore efficient agronomic practices to reduce adverse effects induced by waterlogging stress. In this study, the effects of waterlogging stress on plant morphology, physiological and biochemical characters in peanut seedlings were studied. It was founded waterlogging stress posted adverse effects on plant growth and development and triggered the activities of antioxidant enzymes and osmotic adjustment substances to improve the plant tolerance under stress. It was also found that exogenous calcium fertilization could significantly improved root growth and development under stress. Moreover, higher dose of calcium fertilizer (1600 mg/kg) showed better performance on improving waterlogging tolerance than lower dose one (800 mg/kg) in peanut seedlings. This study explored positive effects of exogenous calcium on recovering damages especially in roots caused by waterlogging stress, providing a theoretical guidance in agronomic practice to improve waterlogging tolerance, and laying a foundation for agronomic practice when further discovering molecular mechanisms in response to waterlogging stress.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.024 | 0.010 |
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".