Computer-Assisted Semen Analysis in Indonesian Buffalo: Correlations with Plasma Membrane Integrity, DNA Fragmentation, and Acrosome Integrity
Bibliographic record
Abstract
This research investigated the association between structural quality and motility traits of cryopreserved semen in Silangit and Toraya buffalo using a computer-assisted semen analysis (CASA) system. Post-thaw examination revealed no statistical difference in plasma membrane integrity between the two breeds (Silangit: 62.5 ± 3.2%; Toraya: 63.1 ± 2.8%). In contrast, the level of DNA fragmentation was greater in Silangit bulls (18.4 ± 2.6%) compared with Toraya (12.7 ± 1.9%). Acrosome condition was generally well maintained in both groups (>95%). The CASA assessment further revealed that Toraya sperm exhibited superior values for average path velocity and lateral head displacement, while Silangit samples displayed higher straightness, linearity, and beat cross frequency. Overall, the study demonstrates that differences in membrane stability, DNA integrity, and acrosome status contribute to breed-specific motility profiles, emphasizing the relevance of CASA for designing semen preservation strategies in buffalo breeding.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.001 | 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".