0397 Genetic correlations between predicted milk fatty acids and milk production traits in Canadian Holsteins
Bibliographic record
Abstract
The fatty acid profile of milk is of importance due to its implications on human health and nutrition, and technological attributes. Any consideration of selection for fatty acids requires knowledge of their genetic relationship with other milk production traits. The objective of this study was to investigate the genetic correlations between mid-infrared predicted milk fatty acids and recorded production traits and somatic cell score (SCS) in Canadian Holsteins. Test-day records for milk yield, fat and protein percentage, fat:protein ratio, and SCS, along with predicted quantities of short (4 to 10 carbon length), medium (12 to 16 carbon length), and long-chain (17 to 22 carbon length) fatty acid groups were analyzed. First lactation Holstein cows between the ages of 19 and 43 mo with at least 3 test-day fatty acid records were considered in the analysis. A total of 109,249 records from 29,542 Holstein cows and 2198 herds acquired between January 2013 and April 2015 were used. Genetic analysis was performed using bivariate sire random regression models fitted using the Average Information-Restricted Maximum Likelihood (AI-REML) procedure in the DMU package with Legendre polynomials used to describe the regression curves. Daily genetic correlations were averaged across the lactation. Strong genetic correlations of 0.90, 0.96, and 0.88 were found between fat percentage and short, medium, and long-chain fatty acids, respectively. Ranges of genetic correlations for fatty acid groups and milk yield (−0.48 to −0.50), protein percentage (0.69 to 0.80), and fat protein ratio (0.51 to 0.63) were similar to those found between the production traits and milk fat percentage. Weak, negative genetic correlations were observed between SCS and short and medium-chain fatty acids (−0.14 for both), while a weak, positive correlation was found between SCS and long-chain fatty acids (0.17). Milk fatty acids had moderate to strong genetic correlations with production traits, but weak genetic correlation with SCS. However, disentangling the high correlation of fatty acids with fat percentage may be challenging for selection purposes.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".