Effect of cryoprotectants and male on motility parameters and fertilization rate in paddlefish (Polyodon spathula) frozen-thawed spermatozoa
Bibliographic record
Abstract
A sperm cryopreservation method using different cryoprotectants \nand sperm from different males was developed. Different percentages \nof pure cryoprotectants (methanol and DMSO) were added to \nextender 1 or 2 (20 mM tris pH 8 + 30 mM sucrose + 0.5 mM KCl \nor 20 mM tris pH 8 + 50 mM sucrose + 0.5 mM KCl, dilution 1:1) \nor non-extended sperm and every 1 ml of mixture was transferred \nto a 2-ml cryotube. The cryotubes were directly transferred to a \npre-programmed PLANER Kryo 10 series III freezer at 0 oC and \ncooled from 0 Celsius to –5 Celsius at a rate of 3 Celsius.min-1, from –5 Celsius to – \n15 Celsius at a rate of 5 Celsius.min-1, from –15 Celsius to –25 Celsius at a rate of 10 \nCelsius.min(-1), from –25 Celsius to –80 Celsius at a rate of 20 Celsius.min(-1). Thereafter \nthe samples were held for 5 min at -80 Ceslius and finally transferred \ninto LN(2) until next morning. The sperm was then thawed in \na water bath at 40 Celsius for 105 s. Fertilization rate of control sperm \nwas 81.5% (kept unfrozen; samples tested after 24-h storage at 3 \nCelsius), indicating that the gametes were of good quality. Percentage \nand the velocity of motile sperm from were evaluated in fresh and \npost-thawed sperm using video frames and subsequent image analysis. \nThe results on hatching rates were significantly correlated \nwith post-thawed sperm motility (r=0.49, P=0.035) and velocity \n(r=0.55, P=0.014) and not correlated with velocity of post-thawed \nspermatozoa (r=0.32, P=0.177). The best fertilization rates were \nobtained with 64-75 % in post-thawed sperm (3.6.105 spermatozoa \nper egg) when sperm were treated either without any extender or \nwith both extenders with methanol concentrations of 8 or 10 %. \nThese results were not significantly different compared with those \nobtained using fresh sperm control samples. Hatching rate was \nvery low, only 8-15 %, when sperm was frozen with 8 or 10 % \nDMSO. ANOVA showed a significant effect of males on sperm \nmotility, velocity and fertilization rate in post-thawed sperm.
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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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".