Relationships between loin physical, meat quality and intramuscular collagen characteristics of carcasses from crossbred swine populations
Notice bibliographique
Résumé
Carcass and meat characteristics are of great importance to the pork industry as they determine the ultimate returns from animals produced. Making genetic progress in these traits requires them to be measurable, heritable and have adequate additive genetic variability. Estimates of genetic parameters must therefore be assessed to determine heritability and level of additive genetic variation for use in selection programs. In the first study, phenotypic data from 500 pedigreed crossbred pigs from Duroc sires and hybrid Large White ✕ Landrace sows from two different swine genetics companies were used. Fixed effects (slaughter batch, sex and company), and a random additive effect were fitted in bivariate animal models to estimate phenotypic and genetic parameters in ASReml. Moderate heritabilities were obtained for loin compositional traits ranging from 0.21±0.10 for bone weight to 0.44±0.11 for loin eye weight with low estimates of 0.09±0.08, 0.19±0.08, 0.13±0.09 obtained for bone percent, loin weight and fat trim weight, respectively. Meat quality traits were low to moderately heritable with the highest estimate being found for intramuscular fat (0.42±0.13). The heritability estimates for percentages of heat soluble and insoluble collagen were 0.12±0.09 and 0.15±0.09, respectively, while 0.33±0.12 was found for total collagen content. Moderate heritability implies the possibility of improving these traits through selective breeding. Strong negative genetic correlations between moisture and fat traits and a further negative correlation between fat and muscling traits confirmed that selection for improved muscling over time negatively affects fat traits and may then decrease meat eating quality. The strong genetic correlations of lightness (L*) with soluble collagen (0.68±0.30) and insoluble collagen (-0.71±0.35) suggest possible pleiotropic gene effects on these traits. Warner-Bratzler shear force (WBSF) had moderate genetic correlations with insoluble collagen (0.42±0.16) and soluble collagen (-0.38±0.10), suggesting a potential relationship between some of the genes impacting these traits. Genetic correlations between WBSF and collagen characteristics indicated that despite the relative youthfulness of pigs at slaughter, genetic selection for collagen solubility may decrease WBSF. In the second study, the contributions of company, sex and loin physical and collagen characteristics to measures of pork carcass and meat quality in a Canadian context were examined. Results from this study indicated that intramuscular collagen characteristics influenced loin cooking loss and further revealed that Warner-Bratzler shear force (WBSF) values were driven more by denaturation of myofibrillar proteins than by intramuscular fat content. Means separation analysis also showed WBSF to increase with increased muscularity and reduced backfat which suggests that selection for rapid growth rate with its associated reduction in calpain activity may decrease pork tenderness. This study further implicates pH and intramuscular fat content as part of the traits influencing insoluble collagen percent indicating that deposition of fat in the perimysium may be a potential disruptor of crosslink formation. Step- wise regression indicated that pH is not a reliable sole predictor of meat quality in loin that has been frozen and then thawed and thus other variables in addition to pH are needed to reliably predict frozen/thawed pork quality. Drip loss predicted most of the variation in tenderness which indicated that pork samples in the present study may have undergone myofibrillar protein oxidation during frozen storage or dehydration during cooking. The results indicated that sex has no significant influence (p>0.05) on loin compositional and meat quality traits while source of animal has a significant (p<0.01) influence on loin composition, pH, drip loss (%), cooking loss (%) and collagen characteristics. In summary, the genetic parameters estimated in this study will make it feasible to predict response to genetic selection on loin and collagen characteristics and further add to the already established research database on meat quality traits. The results of this study also provide insights on variables with potential for predicting pork quality and suggest that although the populations studied were obtained from the same breed combinations differentiation in terms of loin compositional, meat quality and collagen characteristics would not be expected based on sex but would be expected in terms of animal origin.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».