Potential for Producing Viable Embryos in Post Pubertal Heifers. Comparison during the Dry and Wet Seasons in the Tropics Using a Protocol Based on FSH or eCG
Bibliographic record
Abstract
The use of pubertal heifers to produce embryos before their natural breeding period which is normally at 3 years is a possibility that needs to be researched thus the objective of this assay was to superovulate pubertal Bos indicus heifers to obtain embryos in the dry and wet season, two phases were fodder availability is quite distinct. Twenty Brahman heifers 18 to 24 months and weighing 300 to 330 kg were synchronized with a progesterone releasing device (CIDR, Pfizer, Mexico) for 9 days and concomitantly applying a superovulatory regimen, using a total of 280 mg of FSH (Folltropin-V Bioniche Mexico) in eight applications with decreasing dosages 12 h apart, starting with two dosages of 50 mg followed by another two of 40, two of 30, and ending with two of 20 mg. One day before the device was withdrawn; an injection of 25 mg of prostaglandin F2a (Dinoprost Pfizer, México) was administered. For treatment with eCG an injection of 2000 I.U. of Equine Chorionic Gonadotropin eCG (Folligon, Intervet México) was administrated at day 6 after CIDR insertion. There were differences in the total follicular response between the dry season average n = 84 and the wet, average n = 51 (p < 0.05) but not between treatments. The number of good quality embryos recovered in either season was not more than 4. Response in relation to number of corpus luteum (CL) present and number of embryos was affected by season (p < 0.05) regardless of the treatment utilized. The production of embryos in post pubertal heifers is not feasible based in our results. Heat stress, nutritional inconsistencies, season when treatment applied and age might be some of the main driving factors for this poor response.
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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) | 0.002 | 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".