Construction of Fingerprint of <i>Michelia</i> Germplasm by Fluorescent SSR Markers
Bibliographic record
Abstract
In this study, a fingerprinting system for 16 Michelia germplasms was established using high-throughput genotyping of fluorescent simple sequence repeat (SSR) markers. In total, 102 alleles were detected using 13 pairs of SSR markers from closely related species, and the number of alleles per locus ranged from 5 to 11, with an average of 7.8 alleles. Observed heterozygosity (Ho), expected heterozygosity (He), and polymorphic information content (PIC) ranged from 0.1250 to 0.5625 (mean 0.3650), 0.6703 to 0.9113 (mean 0.8099), and 0.5748 to 0.8714 (mean 0.7515), respectively. Among the four selected core primer pairs, the combinations LT106 and SGA5, LT106 and LT58, and SGA5 and MMA51 could unambiguously distinguish 16 Michelia germplasms. A cluster analysis showed the similarity coefficient of the 16 Michelia germplasms to range from 0.70 to 0.90, and different individuals from the same species clustered in the same branch. The fluorescence SSR genotyping system established in this study was efficient, rapid, and accurate; moreover, this approach provides a theoretical basis for identifying germplasms and for the protection of new varieties of the genus Michelia , and it provides a robust foundation for further breeding development of Michelia sp.
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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".