Genome-Wide Association Study for the Capacity to Skip the Dry Period in Dairy Goats
Bibliographic record
Abstract
Lactation is a challenging life stage for dairy animals, as they need to cope with milk production and, in most cases, simultaneous pregnancy. The dry period between two consecutive lactations can be a producer choice, based on, for instance, animal performance or a physiological requirement when animals dry off spontaneously. The goals of this research were to estimate genetic parameters and perform a genome-wide association study in Saanen goats for the capacity to skip the dry period between lactations to identify genes and QTLs underlying this trait. A total of 249 Saanen dairy goats had the length of their dry period determined over lactations, with some (n = 54) showing the capacity to skip the dry period, i.e., having a dry period of a single day. The estimated heritability for the capacity to skip the dry period was moderate (0.25, SE = 0.13). Three SNPs significantly associated with the capacity to skip dry period were identified, which are located close to the OSMR gene, reported to be associated with mammary involution, and a known QTL for cannon bone circumference. The three SNPs were also confined to a very conserved region on chromosome 20, which harbors several genes associated with milk-related traits. The OSMR gene seems to be a good candidate gene for the capacity to skip the dry period, and the genomic region where it is located appears to also be important for milk production traits.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| 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 | 0.000 | 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 teacher head, 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".