The Effect of Blueberry Extracts and Quercetin on Capacitation Status of Stored Boar Sperm
Bibliographic record
Abstract
Liquid cooled boar semen is highly susceptible to lipid peroxidation and capacitation in vitro during storage, which results in reduced fertility and litter sizes following artificial insemination (AI). Antioxidants can delay lipid peroxidation in vitro and therefore potentially extend the lifespan of stored semen. Lowbush blueberries (Vaccinium angustifolium Aiton) and their leaves contain high antioxidant capacity, making them potential candidates for preserving liquid cooled boar semen during storage. This study compared the reversible ability of blueberry extract, leaf extract, and the antioxidant quercetin to prevent capacitation of extended, cooled boar semen during storage for 1 week. The results indicated that blueberry leaf extract and quercetin were equally capable of delaying capacitation for 1 week and still allow capacitation to occur in vitro following incubation at 39°C. Blueberry extract also delayed capacitation but only during storage for 5 days; its effects were also reversible. Blueberry leaf extract and quercetin are potential supplements for storage of liquid cooled boar semen.
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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".