Utarekudoksen perinnöllinen vaihtelu ja yhteys muihin ominaisuuksiin ayrshirelehmillä
Bibliographic record
Abstract
Since 2004 the Finnish Ayrshire Breeders' Society has offered a Canadian conformation classification system to its members via the cooperation with Ayrshire-Canada. The Canadian classification system differs from the Nordic system and has e.g. udder texture as a new trait describing udder softness and elasticity. The research objective was to estimate the genetic variation of udder texture and its correlation to production traits and somatic cell count and udder conformation traits in the Finnish Ayrshire cows. The data from the Finnish Ayrshire Breeders contained phenotypic records on the 1st lactation cows in 2011–2017. Finnish Animal Breeding Association (Faba osk) provided pedigree, herd, yield, insemination and calving information for the cows. The final data set for statistical analyses contained records on 3303 cows. The fixed effects of the traits were investigated by analysis of variance (R program lm). The variance and covariance components of the traits were analysed with Bayesian methodology resorting to the R program MCMCglmm. The heritabilities for the first lactation traits were 0,34 for milk yield, 0,26 for protein yield and 0,26 for fat yield and 0,10 for logarithmic somatic cell count (SCS). The heritability of udder conformation traits were from 0,13 for fore udder up to 0,47 for teat length. The heritability of udder texture was 0,15. The genetic correlation of udder texture with production traits were all negative: -0,36 – -0,34, and zero with SCS. The genetic correlations of udder texture with other udder conformations traits were positive with the highest being with mammary system (0,52), median suspensory (0,51) and udder depth (0,45). The data was representative and sufficiently large, as the heritabilities for production traits were similar to those found earlier and the accuracy of estimates was satisfactory. The longevity can be measured by the total number of lactations. The variation in this number was mainly explained by the milk yield and SCS of the first lactation records. Among the respective udder conformation traits, also the median suspensor and udder depth were significant. Because the udder texture is correlated with the latter ones, its contribution to the variation was not significant. Udder texture has a reasonable amount of genetic variation and is positively genetically correlated with other udder conformation traits, in particular with mammary system, median suspensory and udder depth. The use of the udder texture as an indicator trait for longevity would require a larger data volume. People who use the Finnish Ayrshire Breeder's AF-class-system should have all their cows assessed so the research and selection would have access to records covering a representative variation range.
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.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.054 | 0.012 |
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".