Study on Optimization for ISSR Reaction System of Asparagus cochinchinensis(Lour.) Merr.with Orthogonal Design
Bibliographic record
Abstract
Orthogonal design was applied to the ISSR conditions optimization in this paper.Two orthogonal experiments were made to investigate the amplification efficiency of Asparagus cochinchinensis(Lour.)Merr.in four factors(the concentration of Mg2+,dNTP,Primers and Taq DNA polymerase) at three levels respectively.The result showed that 1×PCR buffer,1.75 mmol/L Mg2+,200 μmol/L dNTP,0.3 μmol/L Primer,1.2 U Taq DNA polymerase and 50 ng template DNA in a total volume of 20 μL were suitable for ISSR amplification system of Asparagus cochinchinensis(Lour.) Merr..This study provided a flundation for utilization ISSR-PCR labelling technique to study genetic diversity of Asparaguss cochinchinensis(Lour.) Merr..
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 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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".