Investigation the Effects of Cadmium Chloride and Copper Sulfate on Germination and Seedling Growth of Agropyron elongatum
Bibliographic record
Abstract
Toleration of germination and embryonic growth stage to heavy elements is as a key of plant establishment under limited conditions. In this study effects of two heavy metals, cadmium and copper sulfate and their interplays were evaluated on germination and growth of A. elongatum. Therefore A. elongatum seeds after disinfectant, placed on watman paper and influenced by cadmium (10, 20 and 30 mg L-1) and copper sulfate (10, 20 and 30 mg L-1). Distilled water was used as control treatment. Each treatment had 4 replications and there were 25 seeds for each replication. Germination of seeds was evaluated everyday and growth index was determined by measuring of root length, shoot length, seedling length and seed vigurity index. Results indicated that there weren’t significant differences among the treatment of germination percentage and speed but length of roots, length of shoots, length of seedling and vigurity index reduced significantly by application of these heavy metals. Root length reduced from 6.2 cm in the control to 2.4 cm at 30 mg L-1 Cd solution but it reduced from 6.3 cm in the control to 4.1 cm at 30 mg L-1 Cu solution. Shoot length was reduced from 9.2 cm in the control to 4.6cm at 30 mg L-1 Cd solution and reduced from 9.4cm in control to 5.6 cm at 30 mg/L Cu solution.
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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".