Noninvasive measurement of body composition of two rabbit populations between 6 and 16 weeks of age by computer tomography

R. Romvári, Z. Szendrő, J. F. Jensen, P. Sørensen, G. Milisits, P. Bogner, P. Horn, J. Csapó

Research output: Article

13 Citations (Scopus)

Abstract

Total body fat, crude protein and dry matter was determined both by X-ray computer tomography (CT) and chemical analysis. Serial scans were taken from 406 growing Pannon White (P) and Danish White × Pannon White (D × P) rabbits at 6, 8, 10, 12, 14 and 16 weeks of age. Twenty-seven CT images per animal were evaluated from the caput humeri to the femoral-tibial articulation. The variables of the prediction equations were taken from the density values of the Hounsfield scale between -200 and +200, by summing the frequencies within each interval of 10 values. Several models were developed with multiple linear regression and principal component analysis. The R1 values of the estimations were high for total body fat (R2 = 0.85-0.92) and dry matter (R2 = 0.87-0.92), but medium in the prediction of crude protein content (R2 = 0.62-0.63). Three dimension 'volumetric' estimation of fat tissue was also carried out on the basis of so-called fat indexes. With this method the development of fat deposition could be studied in the two genotypes.

Original languageEnglish
Pages (from-to)383-395
Number of pages13
JournalJournal of Animal Breeding and Genetics
Volume115
Issue number5
Publication statusPublished - 1998

Fingerprint

tomography
Body Composition
body composition
rabbits
Fats
Tomography
Rabbits
body fat
Adipose Tissue
lipids
crude protein
X Ray Tomography
Population
prediction
humerus
Humerus
thighs
Thigh
Principal Component Analysis
chemical analysis

ASJC Scopus subject areas

  • Animal Science and Zoology
  • Genetics

Cite this

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title = "Noninvasive measurement of body composition of two rabbit populations between 6 and 16 weeks of age by computer tomography",
abstract = "Total body fat, crude protein and dry matter was determined both by X-ray computer tomography (CT) and chemical analysis. Serial scans were taken from 406 growing Pannon White (P) and Danish White × Pannon White (D × P) rabbits at 6, 8, 10, 12, 14 and 16 weeks of age. Twenty-seven CT images per animal were evaluated from the caput humeri to the femoral-tibial articulation. The variables of the prediction equations were taken from the density values of the Hounsfield scale between -200 and +200, by summing the frequencies within each interval of 10 values. Several models were developed with multiple linear regression and principal component analysis. The R1 values of the estimations were high for total body fat (R2 = 0.85-0.92) and dry matter (R2 = 0.87-0.92), but medium in the prediction of crude protein content (R2 = 0.62-0.63). Three dimension 'volumetric' estimation of fat tissue was also carried out on the basis of so-called fat indexes. With this method the development of fat deposition could be studied in the two genotypes.",
author = "R. Romv{\'a}ri and Z. Szendrő and Jensen, {J. F.} and P. S{\o}rensen and G. Milisits and P. Bogner and P. Horn and J. Csap{\'o}",
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T1 - Noninvasive measurement of body composition of two rabbit populations between 6 and 16 weeks of age by computer tomography

AU - Romvári, R.

AU - Szendrő, Z.

AU - Jensen, J. F.

AU - Sørensen, P.

AU - Milisits, G.

AU - Bogner, P.

AU - Horn, P.

AU - Csapó, J.

PY - 1998

Y1 - 1998

N2 - Total body fat, crude protein and dry matter was determined both by X-ray computer tomography (CT) and chemical analysis. Serial scans were taken from 406 growing Pannon White (P) and Danish White × Pannon White (D × P) rabbits at 6, 8, 10, 12, 14 and 16 weeks of age. Twenty-seven CT images per animal were evaluated from the caput humeri to the femoral-tibial articulation. The variables of the prediction equations were taken from the density values of the Hounsfield scale between -200 and +200, by summing the frequencies within each interval of 10 values. Several models were developed with multiple linear regression and principal component analysis. The R1 values of the estimations were high for total body fat (R2 = 0.85-0.92) and dry matter (R2 = 0.87-0.92), but medium in the prediction of crude protein content (R2 = 0.62-0.63). Three dimension 'volumetric' estimation of fat tissue was also carried out on the basis of so-called fat indexes. With this method the development of fat deposition could be studied in the two genotypes.

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