Studies on Genetic Diversity of Selected Population of Hybrid Scallop Chlamys farreri（♀）× Patinopecten yessoensis（♂） by Microsatellites Markers
Bibliographic record
Abstract
<p class="1Body">The growth superiority of hybrid scallop <em>Chlamys farreri </em>(♀) × <em>Patinopecten yessoensis </em>(♂), as the following successive generation selection have been reported. However, the data about the genetic diversity in those population remains unexplored. In this study, the genetic structure analysis of F<sub>1</sub>, F<sub>2</sub> and F<sub>3 </sub>were conducted by PCR with 10 Simple Sequence Repeats (SSR) primers. It showed that a total of 68 alleles were detected, and the number of alleles per locus ranged from 3 to 11, Polymorphism Information Content<em> </em>(<em>PIC</em>) per locus ranged from 0.4729 to 0.8429. And, the average observed heterozygosity (<em>H<sub>o</sub></em>) of the three populations were 0.6100, 0.6975 and 0.7750, while the average expected heterozygosity (<em>H<sub>e</sub></em>) were 0.7607, 0.7751 and 0.7379 respectively. <em>F<sub>st </sub></em>values among the three populations were also low (<em>F<sub>st</sub></em>&lt;0.05) which suggested low genetic differentiation between each two populations. In all, those data indicated the genetic structure challenge caused by hybridization and selection, supplying a new angle to understand artificial selective breeding.</p>
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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 | 0.001 | 0.001 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".