The cluster analysis (CA) was applied to slaughtering data, chilled carcass composition, reference carcass characteristics and meat colour parameters of two different genotypes rabbits (25 Italian local population “LP” and 32 hybrids “HP”) reared in colony cages under conventional system. The aim of the trial was to identify quality parameters that can discriminate rabbit meat from different genotypes. The CA was applied with the “Sum of square” methods on different groups of parameters considered separately or in combination. The groups were identified by the analysis and their percentage distribution within the two genotypes was calculated. Results showed that meat colour parameters and slaughtering data mainly allow to differentiate the two genotypes. In fact CA, applied to these parameters, identified three groups of rabbits: Group 1 (12 rabbits) was constituted by only LP (48% of total), Group 3 (14 rabbits) by only HP (44% of total), Group 2 (31 rabbits) by both genotypes (42% and 58% respectively). The three groups showed different characteristics: Group 1 had lower percentages of full gastrointestinal tract in comparison to Group 3 (17.23 vs 23.10; P<0.01) and higher values of dressing out (61.38% vs 56.35%; P<0.01), kidney (1.04% vs 0.99%; P<0.05), redness (3.75 vs 3.02; P<0.05) and Chroma (6.02 vs 4.59; P<0.01). Group 2 showed intermediate values for many parameters. The data obtained in this trial showed that cluster analysis could be considered useful to discriminate genotypes using only some slaughter and meat quality traits.
Cluster analysis for the study of the relationship among some slaughter and meat quality parameters and different genotypes of rabbit: preliminary results
CECCHI, FRANCESCA;CIAMPOLINI, ROBERTA;PREZIUSO, GIOVANNA
2011-01-01
Abstract
The cluster analysis (CA) was applied to slaughtering data, chilled carcass composition, reference carcass characteristics and meat colour parameters of two different genotypes rabbits (25 Italian local population “LP” and 32 hybrids “HP”) reared in colony cages under conventional system. The aim of the trial was to identify quality parameters that can discriminate rabbit meat from different genotypes. The CA was applied with the “Sum of square” methods on different groups of parameters considered separately or in combination. The groups were identified by the analysis and their percentage distribution within the two genotypes was calculated. Results showed that meat colour parameters and slaughtering data mainly allow to differentiate the two genotypes. In fact CA, applied to these parameters, identified three groups of rabbits: Group 1 (12 rabbits) was constituted by only LP (48% of total), Group 3 (14 rabbits) by only HP (44% of total), Group 2 (31 rabbits) by both genotypes (42% and 58% respectively). The three groups showed different characteristics: Group 1 had lower percentages of full gastrointestinal tract in comparison to Group 3 (17.23 vs 23.10; P<0.01) and higher values of dressing out (61.38% vs 56.35%; P<0.01), kidney (1.04% vs 0.99%; P<0.05), redness (3.75 vs 3.02; P<0.05) and Chroma (6.02 vs 4.59; P<0.01). Group 2 showed intermediate values for many parameters. The data obtained in this trial showed that cluster analysis could be considered useful to discriminate genotypes using only some slaughter and meat quality traits.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
