Diversidad genética de la población de toros Holstein Friesian importados al Ecuador entre el 2000-2021
Bibliographic record
Abstract
Genetic diversity guarantees the evolution and adaptation of animal populations. Therefore, to evaluate the genetic diversity of the population of Holstein Friesian bulls imported into Ecuador between the years 2000-2021 through their genealogical information, constitutes the objective of the research. 273 bulls were evaluated, the genetic analysis was carried out through the estimation of the consanguinity coefficient and the mean relationship with the ENDOG v4.8 program. The Holstein Friesian breed from the United States and Canada is responsible for 89% of the gene flow to Ecuador. The average age of the bulls was 8.50 years, assuming a generation interval between 6-8 years. Within the Ecuadorian market there is a great demand for straws from proven bulls with high reliability, evidencing the use of bulls of advanced age and bulls in proof, affecting the generation interval and genetic progress compared to the use of genomic bulls.
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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 | 0.001 | 0.001 |
| 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".