Alleviation of Cadmium Stress in Wheat through the Combined Application of Boron and Biochar via Regulating Morpho-Physiological and Antioxidant Defense Mechanisms
Bibliographic record
Abstract
Cadmium (Cd) contamination in soil adversely affects crop productivity, grain quality, and human health. Applications of boron (B) and biochar are known to impart tolerance to crops against abiotic stresses. A pot experiment was performed to assess the effects of the sole and combined application of B and biochar on growth, physiological and antioxidant defense mechanisms, yield, and grain quality of wheat under Cd toxicity-induced stress. The treatments included control (0 mg kg−1 and 0 g kg−1), only Cd (15 mg kg−1), only B (5 g kg−1), only biochar (50 g kg−1), B plus biochar, Cd plus B, Cd plus biochar, and Cd plus B plus biochar, which were applied at the time of sowing and were arranged using completely randomized design (CRD) with five replications. The individual Cd toxicity (15 mg kg−1) significantly reduced chl a, chl b, and chl a+b, as well as primary metabolites (soluble protein, amino acids, total soluble sugar, and phenolic contents), while it increased the activities of enzymatic antioxidants like superoxide dismutase (SOD), peroxidase (POD), catalase (CAT), and ascorbate peroxidase (APX) in the leaves of wheat. In addition, Cd stress (15 mg kg−1) increased lipid peroxidation in the form of malondialdehyde (MDA), and it enhanced the hydrogen peroxide (H2O2) content, electrolyte leakage (EL), and proline contents in the leaves. Furthermore, Cd (15 mg kg−1) contamination reduced the grain yield and yield-related attributes relative to respective no-Cd treatments. Soil-applied B and biochar improved wheat grain yield by triggering the activities of enzymatic antioxidants. Individual or combined B and biochar applications improved proline contents and reduced H2O2 and MDA contents in plants. The combined application of B and biochar enhanced soluble sugars and total phenolic as compared to the control and Cd-contaminated plants. In conclusion, the combined application of B and biochar was found to be the best soil amendment strategy to improve the yield of wheat under Cd-contaminated soil.
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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".