Optimization of PCR Conditions for DNA Amplification of Common Buckwheat Using EST Primers
Bibliographic record
Abstract
Under optimal conditions the PCR reaction is very efficient; microgram quantities may be synthesized from a single molecule of substrate DNA. DNA of four lines of common buckwheat (Kyusu, Canada, Miyazaki and Botansoba) was used to optimize PCR reaction and cycling program of 26 primers for DNA amplification of common buckwheat. Annealing temperature (Ta), PCR cycle number and MgCl2 concentration were considered optimum if the single clear band was observed. Of the 26 primers Ta of only 10 primers could be optimized. Three primer pairs performed best at Ta of 54°C. The optimum concentration of MgCl2 was found to be 1.5mM for all primer pairs. Similarly the number of PCR cycles was found to be 40 for all 10 primer pairs except for primer pair 57. Optimized PCR conditions were used for subsequent studies such as transferability of EST primers to other Fagopyrum species and construction of linkage map.Nepal Agric. Res. J. Vol. 8, 2007, pp. 1-6DOI: http://dx.doi.org/10.3126/narj.v8i0.11563
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 0.007 |
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".