Genome-wide association study to identify biological and metabolic pathways associated with carcass portion weights in turkeys
Bibliographic record
Abstract
The application of genetic and genomic improvement strategies in the poultry industry has been widely successful at improving meat yield and efficiency, however some challenges persist. As demand for larger and leaner birds increases, we have not fully assessed how selection for growth affects various carcass portions. The objective of this study was to conduct a genome wide association study (GWAS) and functional analysis on turkey carcass portion weights. Phenotypic data consisted of carcass portion weights (fillets, tenders, drums, thighs) obtained at processing (N = 646 - 1,478). Genotypic records were available from a proprietary 65 K single nucleotide polymorphism (SNP) chip. A linear mixed model was used to estimate SNP effects and a 30-SNP sliding window approach was used. Across all traits, 14 functional candidate genes (FCGs) were identified, and these were predominately associated with protein metabolism and immune function. Interestingly, carcass portions did not share FCGs, except for the thighs and drums, which shared one functional candidate gene (PDGFB). These results add to the understanding of the genetic architecture of carcass portion weights, and this could be applied in a turkey breeding program.
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How this classification was reachedexpand
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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 teacher head, 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".