Variability of traits of growth and quality of pig carcass sides: Effect of the breed and sex
Bibliographic record
Abstract
Investigation of the phenotypic variability of traits of growth and carcass quality was carried out on 865 fatteners (394 female animals and 461 male castrated heads) originating from 29 sires (9 breeds-crossbreds: SL- Swedish Landrace, VJ- Large White, KL - Canadian Landrace, KJ - Canadian Yorkshire D - Duroc, KD - Canadian Duroc, H - Hempshire, Hempshire x Duroc, Pietrain x Duroc) and 197 dams ( pure breed, two and three breed crosses). Investigation included following traits: age at slaughtering (UK), body mass at slaughtering (TMK), daily gain of body mass during life cycle (ZDP), mass of warm carcass sides (MTP), daily gain of carcass sides (DPP) quantity and content of meat in carcass sides (UKMP, USMP - according to Regulations,1985), total mass and ratio of leg+shoulder+loin (UMFO, UFO). Obtained results were processed using several models (Harvey, 1990) which included sire breed, dam breed, sex, age at slaughtering or mass of warm carcass (regression effect). Traits TMK, MTP, ZDP and DPP were regressed to average age at slaughtering (UK=224 days), and remaining traits to average mass of warm carcass sides (MTP=91,98 kg) All investigated traits varied under the influence of sire breed (P<0,01), however not under the influence of dam breed except UKMP and USMP (P<0,05, table 2). Statistically highly significant differences were determined in regard to average values of all traits between female animals and male castrated heads (P<0,01). All traits of carcass quality dependen on the mass of warm carcass sides (P<0,01). Greater body mass at slaughtering and same average age was determined for offspring of boars of following breeds: KD - Canadian Duroc, KL - Canadian Landrace, D - Duroc and KJ - Canadian Yorkshire since their growth was more intensive compared to average values of al other investigated fatteners. Offspring of boars of SL - Swedish Landrace, KL - Canadian Landrace and KD Canadian Duroc breeds had more meat in warm carcass sides (42,14 to 43,37%) compared to the general average (41,95%) determined for all investigated pure breed fatteners, as well as two, three and four breed crosses. The lowest quantity and content of meat was determined for offspring of Large White boars (37,65 kg and 41,01%). Gilts had lower ZDP and DPP and higher UKMP, USMP, UMFO and UFO compared to male castrated heads (table 4).
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.002 | 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".