Establishment and Application of Purity Identification System to New Peanut Cultivar Shanyou 21 Using SSR Marker
Bibliographic record
Abstract
In order to explore the method of peanut purity identification by molecular marker,fingerprinting map of different peanut cultivars was constructed using SSR marker primer.The result showed that the fingerprinting map of 20 peanut cultivars which were construted by 3 pairs SSR primer,could distinguish Shanyou21 and 19 other peanut cultivars that were Shanyou 162,Shanyou212,Shanyou 31,Shanyou33,Shanyou71,Yueyou No.5,Yueyou No.7,Yueyou 29,Yueyou32,Shanyou27,Shanyou523,Yueyou No.9,Yueyou13,Yueyou14,Yueyou79,Yueyou114,J11,Zhongkai Hua No.1 and Quan608.Three samples of mixed plant were detected in 60 samples of Shanyou21 seeds with two out of 3 pairs SSR primers which were constructed fingerprinting map.The purity percentage of seeds was 95.0%.The conclusion could be made that it was feasible for purity identification of peanut cultivars Shanyou21 to use fingerprinting map of SSR marker.
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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".