Desenvolvimento testicular de touros da raça Sindi
Bibliographic record
Abstract
In mammals, the growth of the gonads is associated with the steroids secretion and scrotal circumference (SC), age at puberty significantly correlated. Studies have also shown that the interaction between testicular measurements, body weight and scrotal circumference has been used in breeding programs for sexual precocity. This study aimed to evaluate the evolution of scrotal circumference in Sindi bulls into two contemporaries’ age groups. A group of bulls with samples taken at different times was used. In each time, the body weight, sperm output and scrotal circumferences from each bull of the group was evaluated. It was found that the bulls with 13 months average age showed a mean weight of 384.67 kg and an average scrotal circumference was 32.5 cm. In the second collect, the same bulls already with an average age of 25 months had a mean weight of 494 kg and an average scrotal circumference was 38 cm. The SC and weight values showed significant differences between different ages in the two groups. Body weight and scrotal circumference of animals depending on age-related, concludes that the scrotal circumference in Sindi bulls resemble those already reported taurine measures, which stand up in the requirement precocity compared to zebu breeds. The animals have provided significant weight development when held in a particular containment system, providing conditions to express their genetic potential, capable of reaching more weight in less time and begin sexual life early.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 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".