Superovulation and embryo production in tropical adapted Bos taurus (Caracu) and Bos indicus (Nelore) cows
Bibliographic record
Abstract
The aim of this study was to compare ovarian response and embryo production of superovulated Bos indicus and Bos taurus cows adapted to the environmental conditions from São Paulo State, Brazil. Ninety non-lactating cows from Caracu ( Bos taurus, n=40) and Nelore (Bos indicus, n=50) were treated with an intravaginal device containing progesterone (1.38 mg; CIDRB ®, Pfizer Animal Health, Montreal, Québec, Canada) and 2.5 mg, intramuscularly (IM), of estradiol benzoate (Estrogin®, Farmavet, São Paulo, Brazil). Four days later, all animals were treated with multiple IM injections of 400 IU of FSH (Pluset®, Calier, Spain) in decreasing doses (75–75; 75–50; 50–25, and 25–25 IU) at 12-h intervals over 4 days. On the seventh day, CIDR-B device was removed and cows received, IM, 150 ìg of cloprostenol (Veteglan®, Calier, Spain). Cows were then inseminated 48 and 62 h after cloprostenol treatment and embryos were recovered non-surgically seven days after first insemination. Differences in the number of corpora lutea (CL) number, total number of structures (ova/embryos), and number of transferable embryos were analyzed by Student t test. There was no difference (P > 0.05) in the average number of CL, total ova/embryos and transferable embryos of Caracu (11.4 ± 3.3; 8.6 ± 2.6 e 6.0 ± 2.4) and Nelore (12.0 ± 4.1; 9.0 ± 4.3 e 5.1 ± 2.9) cows, respectively. These results suggest that Caracu and Nelore cows superovulated in tropical climate had similar ovarian responses and embryo 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".