ANTIOXIDANT AND PHOTOSYNTHETIC RESPONSES IN PLANTS UNDER BORON TOXICITY: A REVIEW
Bibliographic record
Abstract
Boron (B) is a micronutrient that has long been known essential not only for plants and animals. Otherwise, in crop plants the range of B concentration from essentiality to toxicity appears extremely narrow. Although B deficiency has been well investigated, during recent years many researchers have also investigated boron toxicity effects, making progress in the comprehension of boron transport within plants. Moreover, worldwide B is not uniformed distributed and, especially in arid and semiarid regions, high B concentrations are found in the soil. Boron in plants primarily moves following transpiration stream even though recent evidences have also confirmed the involvement of B transporter and channel (BOR and NIP). In general, the species that tolerate B excess tends to accumulate less B compared to sensitive species. Likewise other abiotic stresses, antioxidants may be involved in the scavenging of Reactive Oxygen Species (ROS) triggered by B toxicity. Photosynthesis parameters in plants grown under high B supply can draw the photosystems situation and the reactions to B toxicity drawing the healthy status of the plants evaluated. Although boron deficiency has been well investigated, during recent years many researchers have also investigated boron toxicity effects, making progress in the comprehension of boron transport within plants. This review represents the actual state of knowledge concerning B toxicity.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".