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Enregistrement W3012954314 · doi:10.22175/rmc2018.075

Correlation of Chicken Breast (Pectoralis Major) Quality and Sensory Attributes with Chicken Thigh Quality and Sensory Attributes

2018· article· en· W3012954314 sur OpenAlexaffabout
B. M. Bohrer, S. Chalupa-Krebzdak, Liping Wang, Shiqi Huang, S. M. Vasquez Mejia

Notice bibliographique

RevueMeat and Muscle Biology · 2018
Typearticle
Langueen
DomaineAgricultural and Biological Sciences
ThématiqueMeat and Animal Product Quality
Établissements canadiensUniversity of Guelph
Organismes subventionnairesnon disponible
Mots-clésChicken breastSensory systemTendernessSensory analysisFood scienceFlavorThighMedicineBiologyAnatomy

Résumé

récupéré en direct d'OpenAlex

ObjectivesIn other meat commodities, the relationship between quality and eating experience of different cuts within the same carcass has garnered significant attention. While the poultry industry typically prioritizes lean growth and less information is available about the relationship of quality and sensory attributes of different cuts throughout the carcass, it is imperative to commit research efforts to better understand these relationships. Therefore, the purpose of this study was to characterize the relationship between chicken breast (pectoralis major) quality and sensory attributes with chicken thigh quality and sensory attributes.Materials and MethodsChickens of 5 different genetic strains were slaughtered at a common ending point at a commercial processing facility in Southern Ontario and chilled using immersion chilling. Fifty whole chicken carcasses were fabricated into a 9-piece fabricated chicken according to North American Meat Institute specifications. The chicken breast portion was further fabricated into a boneless, skinless breast and the chicken thigh portion was further fabricated into a boneless, skinless thigh. Immediately following fabrication, right side breast and thigh samples were assessed for pH, instrumental color (L*, a*, and b* using a Minolta colorimeter), and prepared for a 48-h drip loss evaluation. Sensory attributes (tenderness, juiciness, flavor, and acceptability) using a trained sensory panel and cooking loss were assessed on the breast and thigh samples from the left side of the carcass. The trained sensory panel had a pool of 12 panelists, 4 of which were used for each sensory session. Eight breast or thigh samples were served at each of the 10 sensory sessions. Correlation coefficients between traits were computed using the CORR procedure of SAS (SAS Inst. Inc., Cary, NC) and considered significantly different from 0 at P < 0.10. Correlations were considered weak (in absolute value) at r ≤ 0.35, correlations were considered moderate at 0.36 ≤ r ≤ 0.67, and correlations were considered strong at r ≥ 0.68.ResultsOnly the parameters with correlation coefficients that were different from 0 (P < 0.10) were reported. Breast pH was weakly correlated (r = 0.25; P = 0.07) with thigh pH, breast color (L*, a*, and b*) was weakly correlated (r ≤ 0.30; P ≥ 0.04) with thigh color, and breast 48-h drip loss was weakly correlated (r = 0.35; P = 0.01) with thigh 48-h drip loss. Breast sensory tenderness was moderately correlated (r = 0.38; P < 0.01) with thigh sensory tenderness, while all other sensory parameters measured between breast and thigh samples were not significantly correlated (P ≥ 0.24). Breast sensory acceptance was strongly correlated with breast sensory juiciness (r = 0.86; P < 0.01) and moderately correlated with breast sensory tenderness (r = 0.53; P < 0.01) and breast sensory flavor (r = 0.66; P < 0.01). Thigh sensory acceptance was strongly correlated with thigh sensory juiciness (r = 0.80; P < 0.01) and moderately correlated with thigh sensory tenderness (r = 0.52; P < 0.01) and thigh sensory flavor (r = 0.62; P < 0.01).ConclusionBreast quality and sensory attributes were generally weakly correlated with thigh quality and sensory attributes. Further investigation into factors affecting breast and thigh quality parameters (pH, color, drip loss, and cooking loss) and their effect on sensory attributes are warranted.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,388
Score d'incertitude au seuil0,426

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,001
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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.

Tête enseignante Opus0,077
Tête enseignante GPT0,292
Écart entre enseignants0,216 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations4
Publié2018
Routes d'admission2
Résumé présentoui

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