Difference of Effects on Seed Germination and Initial Growth of Mung Bean under Different Heavy Metal Stress
Bibliographic record
Abstract
The experiment was conducted to investigate difference of effects on seed germination and initial growth of mung bean under heavy metal stress of Cui2+,Cr6+and Pb2+at different concentrations.The results showed that two heavy metals stress of Cu2+ and Pb2+ didn't inhibit seed germination at whether low concentration or high concentration,while stress of Cr6+at higher concentration of 100 mg/L inhibited the seed germination significantly,and at 400 mg/L inhibited by 66%.Two heavy metals stress of Cu2+ and Pb2+didn't inhibit root length,number of lateral root,plant height and biomass at whether low concentration or high concentration,while stress of Cr6+ at low concentration of 50 mg/L inhibited significantly.Compared with control,root length,number of lateral root,plant height and biomass was decreased by 93%,96%,75%,76% at Cr6+ high level of 400 mg/L,respectively.So from the process of heavy metal stress,some heavy metal had positive effect on growth index at low concentrations,but inhibited growth at high concentrations.Effects on seed germination and initial growth of mung bean under different heavy metal stress were different significantly.The order of three heavy metals toxic to mung bean is Cr6+Cu2+Pb2+.
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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) | 0.001 | 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".