Models for Genetic Evaluation of Scrotal Circumference in Red Angus
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Growth and scrotal records were obtained to estimate age of dam and age at measurement adjustment factors for yearling scrotal circumference in Red Angus bulls (n = 40,865), and to estimate genetic parameters. The linear partial regression coefficient for age at measurement was 0.0323 cm/d. The recommended factors were 0.70, 0.37, 0.08, and 0.30 cm to adjust the scrotal circumference records of yearling Red Angus bulls out of 2-, 3-, 4-, and ≥ 10-yr old cows to a mature (5 to 9 yr) age of dam equivalent. Adjusted 365-d scrotal circumference (SC365) records were fitted to animal models including direct genetic and from 0 to 3 maternal effects; however, maternal effects were negligible. Her-itability for SC365 was 0.51 ± 0.02 from a model including only direct genetic effects. Bivariate models were used to estimate parameters for SC365 with birth (BWT) and 205-d BW, and 160-d postweaning gain (PWG). Estimated genetic correlations (± 0.03) were 0.10, 0.13, and 0.13 for SC365 with direct effects on BWT, 205-d BW, and PWG, respectively. Maternal BWT had a low genetic correlation (0.05 ± 0.05) with SC365, but the genetic correlation between maternal 205-d BW and SC365 was moderate (0.35 ± 0.04). In addition to the recommendations for adjustment of scrotal circumference, these results suggest that direct genetic effects on SC365 could be used in selection programs, and that increasing selection for SC365 would be concomitant with growth up to yearling age and not antagonistic to maternal ability in Red Angus.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 it