The effect of Ala293Val single nucleotide polymorphism in the stearoyl-CoA desaturase gene on conjugated linoleic acid concentration in milk fat of dairy cows
Bibliographic record
Abstract
The objectives of this study were to determine the effects of the Ala293Val single nucleotide polymorphism in stearoyl-CoA desaturase (SCD) on the concentration of cis-9, trans-11 conjugated linoleic acid (CLA) in milk fat of dairy cows, and to identify a phenotypic indicator of cows with a greater genetic capability to produce CLA that is not affected by dietary lipid content. In Study 1, 12 cows, four of each Ala293Val SCD genotype, were fed either a control or an oil-supplemented diet in a cross-over design to examine effects of diet, genotype and their interaction. The CLA concentration in milk fat was greater for cows fed the oil-supplemented (4.4%) vs. the control diet (0.6%), but was not affected by the Ala293Val SCD genotype. In Study 2, the Ala293Val SCD genotype of 215 dairy cows at a commercial dairy did not affect milk yield, composition, or CLA concentration in milk fat. However, in both studies, C14:1 desaturation index was greater for the AA genotype compared with the others. The Ala293Val SCD genotype may not affect CLA production although the SCD Ala293 allele is associated with a higher C14:1 desaturation index possibly because effects of the SCD genotype vary depending on fatty acid chain length or origin.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".