Absorption and Translocation Capacity of Cadmium in Papaya (Carica papaya L.) Plants With Addition of Organic Matter
Bibliographic record
Abstract
Cadmium (Cd) is a toxic element that can be easily absorbed by crops, and can enter through the frequent use of fertilizers in crop areas. The objective of this study was to evaluate the bioaccumulation percentage (BAP) and translocation factor (TF) of Cd in papaya plants exposed to contaminated soils at 50, 100 and 150 mg L-1 and at two concentrations of organic matter: 2% and 10%-MO. Growth variables, chlorophyll and metal concentration were measured after 10 months of cultivation. The results indicated that the greatest growth occurred in soil at 10%-OM in relation to those grown at 2%-OM. Cd bioaccumulation was leaves < stem < root (9 < 22 < 68%) at 50 mg L-1, (7 < 29 < 65%) at 100 mg L-1 and (4 < 34 < 63%) at 150 mg L-1, observing the greatest accumulation in the root. The findings showed that organic matter in soil decreases the availability of metal uptake in the roots. The translocation results were < 1, indicating that the root has the ability to restrict metal transport to the aerial part in plants grown in 10%-OM soil, however, in 2%-OM soil it tends to increase this metal accumulation, suggesting that the application of organic amendments is an alternative to reduce the risk of Cd absorption in agricultural soils.
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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".