AVALIAÇÃO DA EFICÁCIA DE CRIOPROTETORES PERMEANTES E NÃO PERMEANTES NO DESCONGELAMENTO RÁPIDO E LENTO DO SÊMEN CANINO
Bibliographic record
Abstract
The aim of this study was to evaluate the association between cryoprotectants little studied in Brazil such as dimethylformamide and trehalose amid thinner, using protocols of fast and slow defrosting. Three adult Labrador Retrievier male, healthy dogs, weekly submitted to one semen collection during five-weeks period, were used. The base diluent medium used in this study was tris-citrate added with 3% of dimethylformamide + 3% glycerol (D1), 3% dimethylformamide and trehalose (D2) and 4% glycerol (D3). At defrosting, half of the semen samples from each diluent medium was defrosted by rapid method in water-bath at 75 °C for seven minutes, followed by a new immersion at 37 °C for 1 minute. The other half of the samples was defrosted by slow method, in water-bath at 37 °C for 1 minute. The semen was evaluated for sperm progressive motility and vigor, besides membrane integrity. For this, the semen samples were submitted to either hyposmotic and membrane integrity tests of the plasmatic membrane and acrosome (fluorescence). The results indicated that the use of glycerol as cryoprotector in TRIS diluter provides greater efficacy in cryopreserving spermatozoa of the canine species, when compared to dimethylformamide associated with trehalose or glycerol.KEYWORDS: cryopreservation; dimethylformamide; dogs; glycerol; trehalose.
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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 | 0.001 | 0.001 |
| 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 | 0.001 | 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".