COMPUTER-ASSISTED SPERM ANALYSIS OF SPERM MOTILITY DYNAMICS IN GAGA ROOSTERS AT DIFFERENT AGES
Bibliographic record
Abstract
This study aimed to evaluate the motility and kinematic parameters of Gaga chicken sperm at different ages using Computer-Assisted Sperm Analysis (CASA). Semen samples were collected seven times each from two roosters aged 6 months (young) and 12 months (mature) using the massage method. CASA evaluation assessed multiple parameters total motility, progressive motility, slow, static, distance average path (DAP), distance straight line(DSL), distance curvilinear (DCL), velocity average path (VAP), velocity straight line (VSL), velocity curvilinear (VCL), straightness (STR), linearity (LIN), amplitude of lateral head displacement (ALH), beat cross frequency (BCF), and wobble (WOB). Data were analyzed using an independent samples t-test. The results showed significant differences (P0.05) in progressive motility, DCL, VAP, and VCL between the two age groups, with the 12-month-old rooster showing higher values compared to the 6-month-old. In conclusion, the significantly higher sperm concentration and viability observed in mature roosters in this study underscore the importance of age-related reproductive maturity in optimizing semen quality for breeding purposes.
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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 | 0.001 | 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) | 0.001 | 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".