Patterns of cadmium uptake and accumulation by exclusion and inclusion soybean cultivars
Bibliographic record
Abstract
Abstract In the areas where the soils are polluted by cadmium (Cd), farmers cannot afford to use their lands for remediation due to high demand for soybean (Glycine max L.) production. In order to provide information for safe soybean production and achieve the phytoremediation using the root at the meantime, four soybean cultivars (mentioned as Cd excluder and Cd includer) differing in seed Cd accumulation were grown in a mixed growing media treated with different Cd concentrations (0 and 0.35 mg kg−1) in a growth cabinet. The biomass and Cd concentration in roots, stems, leaves, pods, and seeds were measured at the beginning of seed development (R5) and maturity (R8) stages; accumulation coefficient and translocation coefficient of Cd in different organs were calculated. Cadmium concentration in seeds was positively correlated with the Cd concentration in stem, leaf, and pod. Cadmium concentration in the roots of the Cd excluder was significantly higher than that in the Cd includer at the R5 and R8 stages; however, the Cd concentration in the seeds of the Cd includer was higher than that in the Cd excluder. Compared with the Cd excluder, more Cd was transported from the root to the aboveground organs of Cd includer. This suggests that Cd excluder with high cadmium accumulation in the root and low accumulation in the seed could provide a possible way to develop Cd‐safe cultivars with high phytoremediation capacity when grown on Cd‐polluted lands.
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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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".