066 Determination of Genetic Diversity of Potato Varieties by Random Amplified Polymorphic DNA Analysis
Bibliographic record
Abstract
This study was carried out to prove the new variety's originality by using Random Amplified Polymorphic DNA (RAPD) Analysis and to develope the specific markers for distinction new variety from others to database for improving the efficiency of germplasm conservation. The RAPD procedure was used to determine genetic diversity of 13 potato varieties including seven recommended varieties of Korea and six genotypes. Genomic DNAs from the 13 genotypes were amplified using PCR and URP 2F, 4R and 8R primers. URP primers which were 20-mers were received from NIAST (National Institute of Agricultural Science and Technology, Suwon, Korea) and they were shown very high reproducibility because of the high annealing temperature above 55 °C. So, they were known to be very desirable primers to examine the specificity between inter and intra species in various spectra. These 13 lines have many resemblances in plant characteristics each other because `Jopung', '92N09-6', `Daekwan 68', and `Daekwan 70' were originated from `Superior', `Atlantic', `Namsuh', and `Irish Cobbler' respectively. So, there are many difficulties to distinct new variety by the naked eye. The results of this study show that 2 sets of URP primers are very useful to distinct new variety and mutants from others.
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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 | 0.001 | 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".