Effect of genotype on the changes of selected physicochemical parameters of geese muscles

Andrzej Okruszek


In two Polish conservative flocks of Suwalki (Su) and Kartuzy (Ka) geese, registered by FAO as domestic genetic resources, the mean values of qualitative traits of breast (Pectoralis major) and leg (Biceps femoris) muscle were determined: pH(15'), pH(30'), pH(45'),PH24h; colour parameters: L*(15'), L*(30'), L*(45'), L-24h, a*(15'), ear, a*(45'), a*(24h), b*(15'), b*(30'), b*(45'), b*(24h), and electrical conductivity: EC45', EC3h, EC24h. The pH values and L* and a* parameters (except L*(24) and a*(24)) of the analysed flocks and muscle were decreasing, and conductivity increasing together with the times of post-slaughter, with the rates of these changes depending on bird's origin and its type of muscle. Greater differences between pH measured at 15 mm. and 24 h, and EC (from EC45' to EC24h) values after slaughter were noted in muscle from Ka (1.05 and 3.51 mS/cm) rather than in muscles from Su (0.84 and 3.21 mS/cm) as well as in breast muscle rather than in leg muscle (0.83 and 3.44 mS/cm and 0.75 and 3.04 mS/cm respectively). A significant decrease of L* values was confirmed only for type of muscle - the lowest value of this parameter was noted in both types of muscle at 45 min. post-slaughter (L*45' = 37.2 for breast and 44.5 for leg muscles), whereas, the changes of a* and b* values depended on the kind of goose flock and the type of muscle.
Author Andrzej Okruszek (EaE / IChaFT / DAOFT)
Andrzej Okruszek,,
- Department of Animal Origin Food Technology
Journal seriesArchiv fur Geflugelkunde, ISSN 0003-9098, (0 pkt)
Issue year2012
Publication size in sheets0.4
Keywords in EnglishGeese; breast muscle; leg muscles; pH; colour parameters; conductivity
ASJC Classification1103 Animal Science and Zoology; 3403 Food Animals
Languageen angielski
Score (nominal)0
Score sourcejournalList
Publication indicators WoS Citations = 5; Scopus SNIP (Source Normalised Impact per Paper): 2015 = 0.466; WoS Impact Factor: 2015 = 0.296 (2) - 2015=0.296 (5)
Citation count*1 (2015-11-05)
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* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.