Pre Slaughter Research Paper
INTEGRATED MULTIVARIATE ANALYSIS TO EVALUATE EFFECTS OF PRESLAUGHTER HANDLING ON PORK QUALITY
SIVANILZA T. MACHADO 1, RODRIGO C. SANTOS 2, FABIANA R. CALDARA 3,
MANOEL C. GONÇALVES 4, IRENILZA DE A. NÄÄS 5
ABSTRACT: The aim of this study was to investigate the effect of pre-slaughter handling on the occurrence of PSE (Pale, Soft, and Exudative) meat in swine slaughtered at a commercial slaughterhouse located in the metropolitan region of Dourados, Mato Grosso do Sul, Brazil. Based on the database (n=1,832 carcasses), it was possible to apply the integrated multivariate analysis for the purpose of identifying, among the selected variables, those of greatest relevance to this study.
Results of the Principal Component Analysis showed that the …show more content…
In this study, the resting time varied between 3.5 and 14.5 h, so highest carcass temperatures (> 40 °C) occurred in swine that rested from 3.5 to 10 h; swine resting more than 10 h presented temperature decrease. SANTIAGO et al. (2012) found that resting times under than 6 h and over 8 h influenced the pH 45 variable, which was associated with carcass temperature and PSE meat incidence.
Cluster analysis was performed by the Unweighted Pair Group Method with Arithmetic Mean
(UPGMA), using Mahalanobis distance as a dissimilarity measure to assess whether there were differences among lots regarding the expression of the analyzed variables (Figure 1).
FIGURE 1. Dendrogram representing the dissimilarity among 33 studied lots. Cophenetic correlation (0.915**).
From a dendrogram standard cut in 50% dissimilarity, we may observe that only two groups are formed, with little difference between lots. This result allows us to infer that the lots have no
Eng. Agríc., Jaboticabal, v.34, n.3, p.435-444, maio/jun.
SIVANILZA T. MACHADO 1, RODRIGO C. SANTOS 2, FABIANA R. CALDARA 3,
MANOEL C. GONÇALVES 4, IRENILZA DE A. NÄÄS 5
ABSTRACT: The aim of this study was to investigate the effect of pre-slaughter handling on the occurrence of PSE (Pale, Soft, and Exudative) meat in swine slaughtered at a commercial slaughterhouse located in the metropolitan region of Dourados, Mato Grosso do Sul, Brazil. Based on the database (n=1,832 carcasses), it was possible to apply the integrated multivariate analysis for the purpose of identifying, among the selected variables, those of greatest relevance to this study.
Results of the Principal Component Analysis showed that the …show more content…
In this study, the resting time varied between 3.5 and 14.5 h, so highest carcass temperatures (> 40 °C) occurred in swine that rested from 3.5 to 10 h; swine resting more than 10 h presented temperature decrease. SANTIAGO et al. (2012) found that resting times under than 6 h and over 8 h influenced the pH 45 variable, which was associated with carcass temperature and PSE meat incidence.
Cluster analysis was performed by the Unweighted Pair Group Method with Arithmetic Mean
(UPGMA), using Mahalanobis distance as a dissimilarity measure to assess whether there were differences among lots regarding the expression of the analyzed variables (Figure 1).
FIGURE 1. Dendrogram representing the dissimilarity among 33 studied lots. Cophenetic correlation (0.915**).
From a dendrogram standard cut in 50% dissimilarity, we may observe that only two groups are formed, with little difference between lots. This result allows us to infer that the lots have no
Eng. Agríc., Jaboticabal, v.34, n.3, p.435-444, maio/jun.