CASE STUDY: Use of Modified Phosphate-Buffered Saline as a Component of Semen Extenders Allows the Use of Transported Semen from Two Stallions
Bibliographic record
Abstract
Conception rates for mares bred with transported-cooled and fresh stallion semen were collected over a 4-yr period (1998–2002) for two stallions. Both stallions stood at a commercial breeding farm. Semen from both stallions was used immediately after collection on the farm and after 24 to 48 h of cold storage when transported to locations in the U.S. and Canada. Semen for insemination of mares located on the farm was extended with a commercially available skim milk glucose extender ( SKMG ). Spermatozoal motility following cold storage for spermatozoa diluted in SKMG extender was unacceptable. Thus, semen from both stallions was centrifuged, and spermatozoa were resuspended in SKMG supplemented with modified PBS. In a previous study, the percentage of motile spermatozoa increased following centrifugation and reconstitution of the sperm pellet in SKMG-PBS as compared with semen dilution in SKMG (Stallion A: 15% vs 47%; Stallion B: 18% vs 43%). In the current study, 22 of 25 (88%) and 3 of 4 (75%) mares conceived with transported-cooled semen from Stallions A and B, respectively. Conception rates for mares inseminated with transported semen did not differ (P>0.05) from those inseminated on the farm with fresh semen. These data illustrate that stallion owners can modify standard cooled semen processing procedures and semen extender composition to improve post-storage spermatozoa motility and to obtain acceptable fertility.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".