Effects of different disinfection methods and soaking with aluminium on seed germination of Jatropha curcas.
Bibliographic record
Abstract
The paper takes the seeds of Jatropha curcas as material,disinfection with 1.25 g/L carbendazim 0.2 g/L potassium permanganate,1% hydrogen peroxide,75% ethanol,1% copper sulfate solution and aluminum soaking on Jatropha seed,study the effect of different disinfection methods and aluminum stress on Jatropha seed germination.The results showed that all treatments had a great impact of Jatropha seed germination.But germination rate of 0.2 g/L potassium permanganate disinfection Jatropha seed was the highest.However,composite germination speed and Ranjun rate,1% CuSO4 disinfection 10 min was the best method of disinfection.Under different Al3+ concentration soaking,low concentration(25,50,100 μmol/L) aluminum solution can promoted the germination of Jatropha seed,and high concentration(200,400 μmol/L) solution of aluminum significantly inhibited germination of Jatropha seed.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 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) | 0.000 | 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".