Abstract
The ability to accurately measure body or carcass composition is important for performance testing, grading and finally selection
or payment of meat-producing animals. Advances especially in non-invasive techniques are mainly based on the development of
electronic and computer-driven methods in order to provide objective phenotypic data. The preference for a specific technique
depends on the target animal species or carcass, combined with technical and practical aspects such as accuracy, reliability, cost,
portability, speed, ease of use, safety and for in vivo measurements the need for fixation or sedation. The techniques rely on
specific device-driven signals, which interact with tissues in the body or carcass at the atomic or molecular level, resulting in
secondary or attenuated signals detected by the instruments and analyzed quantitatively. The electromagnetic signal produced by
the instrument may originate from mechanical energy such as sound waves (ultrasound – US), ‘photon’ radiation (X-ray-computed
tomography – CT, dual-energy X-ray absorptiometry – DXA) or radio frequency waves (magnetic resonance imaging – MRI). The
signals detected by the corresponding instruments are processed to measure, for example, tissue depths, areas, volumes or
distributions of fat, muscle (water, protein) and partly bone or bone mineral. Among the above techniques, CT is the most
accurate one followed by MRI and DXA, whereas US can be used for all sizes of farm animal species even under field conditions.
CT, MRI and US can provide volume data, whereas only DXA delivers immediate whole-body composition results without (2D)
image manipulation. A combination of simple US and more expensive CT, MRI or DXA might be applied for farm animal
selection programs in a stepwise approach.
Original language | English |
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Pages (from-to) | 1250 - 1264 |
Number of pages | 15 |
Journal | Animal |
Volume | 9 |
Issue number | 7 |
DOIs | |
Publication status | First published - 2015 |
Bibliographical note
10233781026297
Keywords
- Animal
- Body composition
- Magnetic resonance imaging
- Ultrasound
- X-ray attenuation