aS1-Casein Lineage Assessed by RFLP in the Endangered Goat Breed “Retinta Extremeña”
Bibliographic record
Abstract
The Retinta Extremeña goat is a well-adapted breed to "Dehesa" environment. Traditionally their raw milk is used to make artisan cheese. However, crosses with specialized breeds are occurring since the eighties, this goat breed has been declared of special protection by the Spanish Agriculture Ministry (R.D. 1682/1997 and R.D. 229/2008). Genetic studies about casein variants have been mainly performed on Spanish goats of high milk yields because the caseins are a relevant fraction of milk. But recent studies claimed to study the caseins in all breeds, including threatened goat breeds to decide about its conservation value. This study was focused on the aS1-casein in the endangered “Retinta Extremeña” goat for the first time to enhance its conservation interest. Genomic DNA of seventy five pureblood goats was studied. A PCR-RFLP assay was designed to find a BmyI target that distinguishing A versus B2 lineages (including recombinant variant M and B1, respectively) of the aS1-casein locus. The allelic frequency of variants related to A lineage (CAG triplet) was 14.0% similar to other southwestern Spanish breeds. It is suggested that individuals or families carrying A lineage should be more studied to detect less allergen null alleles while the opposite allele pools of the B2 lineages should be tested for alleles associated to unsaturated fatty acid content. Therefore, the priorities for conservation plans of animal genetic resources as threatened goat breeds; more investigation is claimed in the aim to study for proved useful alleles of certain genes, as casein variants.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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".