Estimation of the genetic parameters for ultrasonic backfat measurements, growth and carcass traits in swine
Bibliographic record
Abstract
Genetic parameters were estimated for 2403 purebred Landrace pigs ever a two year period, representing 21 sires. The traits studied included average daily gain, age adjusted to 91 kg, ultrasonic measurements of backfat at the midback and loin positions, total and adjusted total ultrasonic backfat and corresponding carcass backfat measurements. Least squares analyses were used to estimate and adjust for the effects of sex, season and sex by season interaction. Heritabilities and genetic correlations were calculated for all traits using both half and full-sib estimates. Adjusted age and adjusted total ultrasonic backfat measurements were found to be the nest appropriate predictors of carcass value. Estimates of heritability for adjusted age and adjusted total ultrasonic backfat were 0.24±0.10 and 0.26±0.10 based on half-sib and 0.56±0.07 and 0.41±0.06 from full-sib analyses. Genetic correlations between these two traits were -0.07±0.28 and -0.01±0.10 based on the two respective methods. The total phenotypic correlation was -0.01±0.02. A selection index example was developed from half-sib estimates of the genetic parameters and economic factors were estimated from fixed and variable costs for adjusted age and the Canadian market index system.
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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 | 0.002 | 0.005 |
| 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 | 0.000 | 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 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".