Including coefficients of inbreeding in BLUP evaluation and its effect on response to selection
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Bibliographic record
Abstract
Summary Stochastic simulation was used to study the effect on selection response of accounting for inbreeding versus ignoring it in the construction of the inverse of the relationship matrix used in mixed model equations (MME) to obtain BLUP of breeding values. Three different heritabilities of 0.10, 0.25, and 0.50 and two different family structures were used. Selection of replacement animals was based on best linear unbiased predictors (BLUP) of breeding values using an animal model. Average inbreeding coefficients (F) were in the range of 0.4–0.5 after 11 generations of selection. Even with such high inbreeding levels, no significant differences in selection responses were found between accounting or ignoring F in MME construction over the range of heritabilities and family structures.
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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 | 0.001 | 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