Sperm quality profile of Bali bull as local Indonesian cattle in liquid storage in different diluents with the addition of synthetic antioxidants
Bibliographic record
Abstract
Bali cattle are one of Indonesia’s local cattle, which require efforts to preserve genetic material from superior males by storing sperm at low temperatures so that it does not become extinct and can be implemented for artificial insemination. The simplest storage method is liquid storage, at 4-5°C. This study aimed to examine the quality profile of Bali bull sperm during storage at 4-5°C in CEP diluent with and without synthetic antioxidants (alpha-tocopherol, glutathione) and to compare it with the diluent media usually used by Indonesian Artificial Insemination centers for freezing bovine semen, namely tris aminomethane egg yolk. The research used 3 Balinese bull ejaculates, each replicated 3 times. Fresh semen was collected using an artificial vagina. The sperm quality profile included motility, viability, and membrane integrity a. Sperm motility was observed using the CASA IVOS 2 tool. Sperm viability was observed using the eosin nigrosine staining method under a microscope with 200 magnification. Membrane integrity was observed utilizing the HOST test (Hypo Osmotic Swelling Test). The results showed that the percentage of motility from the first day to the last day of storage was highest in CEP diluent with the addition of alpha-tocopherol and glutathione. The observations of membrane viability and integrity showed the highest percentage of CEP diluent with the addition of alpha-tocopherol from the first to the last day of storage. The research results show that Bali cattle sperm can be stored at low temperatures, especially in CEP diluent, with the addition of antioxidants.
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 | 0.000 | 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".