Application of AFLP markers for QTL mapping in the rabbit
Bibliographic record
Abstract
Two rabbit (Oryctolagus cuniculus) inbred strains (AX/JU and IIIVO/JU) have been used for genetic analysis of quantitative traits related to dietary cholesterol susceptibility. Application of the AFLP (amplified fragment length polymorphism) technique with 15 primer combinations revealed 226 polymorphisms between the 2 inbred strains. A total of 57 animals from a backcross progeny (IIIVO/JU x [IIIVO/JU x AX/JU]F1) were available for the genetic analysis. These backcross animals were fed a commercial pelleted diet fortified with 0.3% w/w cholesterol during a test period that lasted five weeks. A male genetic map could be constructed, consisting of 12 linkage groups and 103 AFLP markers. Linkage analysis between the cholesterol-related traits and marker loci revealed a significant LOD score for the relative weight of adrenal glands in males (LOD score = 3.83), whereas suggestive linkages were found for basal serum total cholesterol levels in females (LOD score = 2.69), for serum total cholesterol response (area under the curve) in males (LOD score = 2.21), and for hematocrit in males (LOD score = 3.24).
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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 | 0.001 | 0.001 |
| 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) | 0.000 | 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".