Beneficial Effects of N‐Acetyl Cysteine in the Different Equilibration Times on Post‐Thawed Rooster Sperm Quality
Bibliographic record
Abstract
Cryopreservation is the best method for preserving rooster sperm, especially in declining indigenous breeds. Cryopreserved semen is significantly compromised due to equilibration time, cold shock and oxidative stress encountered during the freezing-thawing process. To improve the quality and fertility of thawed semen, it is essential to protect sperm cells from peroxidative damage. This study assessed the effects of N-acetyl cysteine (NAC), an antioxidant supplement, on the functional parameters of thawed rooster sperm after pre-freezing equilibration periods of 2 and 4 h. Samples were collected from 10 male Ross 308 broiler breeders and diluted with Beltsville extenders containing different concentrations of NAC (0, 0.1, 1 and 10 mM/mL) during equilibrium periods of 2 and 4 h before freezing. Our findings showed that NAC-0.1 and NAC-1 groups in 2 h increased significantly total and progressive motility (59.85 ± 3.73, 59.67 ± 3.73, 42.85 ± 2.64 and 42.80 ± 2.64, respectively), viability, and plasma membrane functionality (62.45 ± 3.51, 62.36 ± 3.51, 56.81 ± 3.51 and 56.82 ± 3.56, respectively) compared to the control groups. Furthermore, NAC-0.1-2 h and NAC-1-2 h demonstrated the lowest levels of apoptosis and intracellular reactive oxygen species (ROS), as well as the highest mitochondrial membrane potential in comparison to the control groups. These findings indicate that NAC-0.1 and NAC-1 are effective in maintaining the quality of thawed rooster sperm during a 2-h equilibration period.
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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".