Dietary alpha-linolenic acid supplementation enhances semen quality, antioxidant capacity, and sperm survival in aging breeder roosters
Bibliographic record
Abstract
Aging in breeder roosters is often accompanied by a decline in semen quality, negatively impacting reproductive performance. This study aimed to investigate the effect of dietary alpha-linolenic acid (ALA), an essential omega-3 polyunsaturated fatty acid, on semen quality, antioxidant capacity, and sperm survival in aging breeder roosters. Roosters were divided into 4 groups and fed diets supplemented with 0%, 0.5%, 1%, and 2% ALA for 6 wk. Results indicated significant improvements in semen volume, sperm viability, and sperm density in ALA-supplemented groups compared to the control (P < 0.05). The 1% ALA group exhibited the most notable enhancements in sperm viability and density. Additionally, ALA supplementation increased the activities of antioxidant enzymes such as superoxide dismutase (SOD) and glutathione peroxidase (GSH-Px), and reduced malondialdehyde (MDA) levels, indicating enhanced antioxidant capacity (P < 0.05). Furthermore, ALA improved mitochondrial membrane potential (MMP) and reduced early and late sperm apoptosis, with the 2% ALA group showing the highest MMP and the lowest ROS-positive rate (P < 0.05). These findings suggest that dietary ALA supplementation enhances semen quality and antioxidant defenses, and mitigates oxidative stress, thus supporting the reproductive health of aging breeder roosters. This study underscores the potential of ALA as a dietary strategy to improve reproductive efficiency in poultry production.
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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".