Supplementation of lake extender with cysteamine preserves quality parameters and fertility potential of post-thawed rooster sperm during cryopreservation process
Bibliographic record
Abstract
BACKGROUND: In the cryopreservation process, rooster spermatozoa are vastly sensitive to reactive oxygen species (ROS). This study aimed to investigate the effects of Lake extender supplemented via Cysteamine (CYS) on the quality and fertility characteristics of rooster semen during the cryopreservation process. METHODS: Semen samples were collected from 10 proved Ross-308 roosters, diluted and cryopreserved in the Lake extender which contained 0, 1, 2, 4, and 8 mM of CYS (C-0, C-1, C-2, C-4, and C-8, respectively). Motility parameters, membrane integrity, abnormal morphology, mitochondrial activity, acrosome integrity, viability, apoptosis status, lipid peroxidation, DNA fragmentation, ROS concentration, as well as fertility potential were evaluated after thawing. RESULTS: total motility and progressive motility were higher (P ≤ 0.05) in C-1 and C-2 compared to the other groups. The C-1 showed higher (P ≤ 0.05) membrane integrity, mitochondrial activity, acrosome integrity, viability, and lower (P ≤ 0.05) late apoptosis, lipid peroxidation, DNA fragmentation, and ROS concentration compared to the other groups. During fertility evaluation, C-1 presented a higher fertility rate than the control group. In cases of velocity parameters, abnormal morphology, early apoptosis, necrosis, and hatching rate, no significant difference (P > 0.05) was found. CONCLUSION: using the optimal concentration of CYS (1 mM) in the Lake extender is useful for protecting rooster sperm during the cryopreservation process and it could be used for reproductive programs.
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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) | 0.001 | 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".