Conservation of fresh ram spermatozoa at 5°C in the presence of seminal plasma
Bibliographic record
Abstract
Seminal plasma aids sperm transport and contains factors beneficial for sperm function. In artificial insemination, however, diluting the semen reduces the concentration of seminal plasma. To test the hypothesis that supplemental seminal plasma in extended ram semen improves conservation at 5°C, we added various concentrations of seminal plasma to semen during storage, and investigated subsequent sperm function in vitro. Semen was divided into three aliquots, extended in a commercial diluent (Triladyl) supplemented with 0, 10 or 25% (vol:vol) ovine seminal plasma and cooled to 5°C. After 8 and 24 h at 5°C, sperm were suspended in a modified synthetic oviduct fluid (SOF-m) at 39°C to mimic the female genital tract at insemination. Sperm aliquots were assessed for motility and chlortetracycline fluorescence after 0, 4 and 8 h in the SOFm. No significant differences were observed due to seminal plasma supplementation during conservation at 5°C or incubation in SOF-m at 39°C. However, decreased sperm motility and fewer non-capacitated sperm were observed concomitant with an augmentation of capacitated and acrosome-reacted cells during incubation in SOF-m. Therefore, the hypothesis that diluent supplementation with homologous seminal plasma improves ram sperm conservation or subsequent sperm function was not supported. Key words: Ovine, ram, sperm, motility, viability, chlortetracycline fluorescence, artificial insemination, SOF
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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 | 0.000 | 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) | 0.002 | 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".