Screening of RAPD Primers for Variety Identification and Seed Purity Test in Sweet Corn
Bibliographic record
Abstract
In this study,DNAs were isolated with CTAB method from hypocotyls of six sweet corn varieties,'Zhengtian 613','Zhengtian 38','Yuetian No.3','Yuetian No.9','Yuetian No.13' and 'Yuetian No.10'.RAPD amplification profiles of these varieties were analyzed using 120 RAPD primers,two primers of which,SPS-A 04 and SPS-E 20 were found to generate different banding pattern in each variety used,and therefore the band data by either of them could be used as DNA fingerprint to differentiate these varieties,truth and falseness.Furthermore,four varieties and their parents were also analyzed by RAPD technique.Three RAPD primers were selected,one of them,SPS-E 15 could be used simultaneously to test the seed purity for three varieties,'Zhengtian 613','Zhengtian 38' and 'Yuetian No.13',and primer SPS-F 06 and SPS-F 19 could be utilized for identifying 'Zhengtian 38' and 'Yuetian No.10',respectively.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".