ZINC PRIMING OF MAIZE SEED ENHANCES ROOTTOSHOOT Zn TRANSLOCATION BUT NOT OF ANALOGOUS HEAVY METALS
Bibliographic record
Abstract
Soil contaminated with heavy metals is considered a leading environmental concern as they are translocated to harvestable part of plant and ultimately influence animals and human health. Pre-germination metabolic processes stimulated by seed priming with mineral nutrient may facilitates the availability of that particular nutrient under adverse soil conditions. Seed priming with zinc (Zn) impact on Zn and heavy metals, for instance, cadmium (Cd) and nickel (Ni), uptake and their translocation within plant was evaluated in this research study. Seeds of maize were hydro-primed and Zn-primed (ZnSO4 solution) before sowing. Soil was amended with heavy metals, namely Cd and Ni and seedling was harvested after twenty days of sowing. There was no considerable treatment effect found in the various plant morphological and physiological attributes. However, interestingly, on the one hand, seed priming with Zn enhanced its uptake and distribution within plant; on the other hand, reduction in root-to-shoot translocation of Cd and Ni was observed. As a result, seed priming with Zn is not only an advantageous approach to improve Zn nutrition but also valuable to hinder the translocation of heavy metals and ultimately it can suppress inclusive deleterious impacts on human health. Key words: Contaminated Soils; Heavy Metals; Seed Priming; Zea mays; Zinc
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 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 teacher head, 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".