The first genetic linkage map of Luohanguo (<i>Siraitia grosvenorii</i>) based on ISSR and SRAP markers
Bibliographic record
Abstract
In this study, the first genetic map of Luohanguo (Siraitia grosvenorii (Swingle) C. Jeffrey) was constructed with 150 F₂ population individuals using inter-simple sequence repeat (ISSR) and sequence-related amplified polymorphism (SRAP) markers. A total of 100 ISSRs and 196 SRAP primer combinations generated 51 and 222 polymorphic markers, respectively. Among the 273 markers obtained, 199 markers (29 ISSRs and 170 SRAPs) were mapped to 25 linkage groups. The map covered 1463.3 cM with a mean map distance of 7.35 cM between adjacent markers and a maximum map distance of 52.6 cM between two markers. The markers were distributed randomly in 25 groups except for minor clusters in the distal region of linkage groups. All 25 linkage groups consisted of 2-36 loci ranging in length from 19.5 to 152.6 cM and accounted for 59.8% of the total map distance. This map provides reference information for future molecular breeding work on Luohanguo.
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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 | 0.001 | 0.001 |
| 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) | 0.001 | 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".