Genetic Diversity Analysis of Maize in Baoshan Yunnan by SSR Markers
Bibliographic record
Abstract
The genetic diversity of 15 maize and it’s popularization grown in Baoshan city were carried out based on SSR primers recommended by Chinese agricultural industry standard (NY/T1432-2014). The results showed that 17 pairs of SSR primers presented polymorphic, and 72 alleles were detected. The number of alleles detected by each pair of primers was 3 to 6, with an average of 4.3. The effective number of alleles was 1.219 to 1.750, with an average of 1.448. The Nei’s genetic diversity index was 0.176 to 0.418, with an average of 0.283. The Shannon information index was 0.315 to 0.605, with an average of 0.444. The SSR polymorphic information (PIC) distribution ranges from 0.512 to 0.812, with an average of 0.686. The cluster analysis showed that the genetic similarity coefficient ranged from 0.417 to 0.819, with an average of 0.632, when the genetic similarity coefficient was 0.65, 15 varieties were divided into 5 groups. The results can provide theoretical and technical support for breeding and promotion of Baoshan maize varieties in Yunnan province.
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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 | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 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 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".