Prediction of carcass quality traits of common carp by x-ray computerized tomography

C. Hancz, R. Romvári, Z. Petrási, P. Horn

Research output: Contribution to journalArticle

10 Citations (Scopus)

Abstract

X-ray computerized tomography (CT) and chemical analysis were used to determine the fat and protein contents in the fillet of table-sized mirror carps. Serial CT scans were taken along the body from the operculum to the beginning of the caudal fin. After scanning, the anesthetized fish were immediately processed; slaughter value and fillet yield were determined before taking samples for chemical analysis. Independent variables of prediction equations were produced from the CT density values, which ranged from -90 to 160 on the Hounsfield scale. Based on the data derived from the CT scanning, areas (cm2) of muscle and fat tissue were identified. Fat deposition was highest in the dorsal fin region. The muscle area varied according to the body shape and seems to be inadequate for predicting the slaughter value of common carp. The fat and protein contents of the fillet, when predicted from scanning only the dorsal region, were as accurate as when predicted from scanning the whole body and were R2 = 0.88 and 0.86, respectively.

Original languageEnglish
Pages (from-to)61-68
Number of pages8
JournalIsraeli Journal of Aquaculture - Bamidgeh
Volume55
Issue number1
Publication statusPublished - Mar 2003

Fingerprint

tomography
carcass quality
Cyprinus carpio
fat
X-radiation
fillets
prediction
chemical analysis
fins
slaughter
muscle
lipid content
protein content
animal morphology
muscles
body shape
protein
lipids
fish
sampling

Keywords

  • Carcass quality
  • Common carp
  • Computerized tomography
  • Fat content
  • Prediction

ASJC Scopus subject areas

  • Aquatic Science

Cite this

Prediction of carcass quality traits of common carp by x-ray computerized tomography. / Hancz, C.; Romvári, R.; Petrási, Z.; Horn, P.

In: Israeli Journal of Aquaculture - Bamidgeh, Vol. 55, No. 1, 03.2003, p. 61-68.

Research output: Contribution to journalArticle

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