Effect of PEG-6000 on Dendranthema indicum Seed Drought Resistance During Germination
Bibliographic record
Abstract
The material of Chrysanthemum indicum L.was collected at the locations of Liaoning Benxi.The seeds were treated with PEG-6000 solution at the concentration of 50,100,150,200,250g/L,and the relative germination rate,germination index,seed vitality index,root lengths and chlorophyll content were evaluated,and calculated the index of seed vigor according to the evaluating results.The results indicated that it was favorable for Chrysanthemum indicum L.to biomass accumulation,shoot growth and the synthesis of chlorophyll under the mild drought stress.But under the conditions of moderate and severe drought stress,it was not favorable to germination and growth and physiological reflect.The sensitive drought resistance material Chrysanthemum indicum L.was studied on the changes of seed germination characters under PEG-6000 resistance as a good pasture,which had the significant meaning for breeding and landscape application.
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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".