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Three-dimensional imaging to estimate in vivo body and carcass chemical composition of growing beef-on-dairy crossbred bulls
•In vivo 3D imaging to estimate empty body and carcass chemical composition.•Body shape traits captured by 3D imaging of growing beef-on-dairy crossbred bulls.•Along the growth trajectory and at terminal slaughter BW, chemical component masses are well estimated.•Estimates of chemical component prop...
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Published in: | Animal (Cambridge, England) England), 2024-06, Vol.18 (6), p.101174, Article 101174 |
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Main Authors: | , , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites |
Online Access: | Get full text |
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Summary: | •In vivo 3D imaging to estimate empty body and carcass chemical composition.•Body shape traits captured by 3D imaging of growing beef-on-dairy crossbred bulls.•Along the growth trajectory and at terminal slaughter BW, chemical component masses are well estimated.•Estimates of chemical component proportions are slightly less precise.•On-farm body composition phenotyping throughout the cattle’s production cycle.
The dynamics of cattle body chemical composition during growth and fattening periods determine animal performance and beef carcass quality. The aim of this study was to estimate the empty body (EB) and carcass chemical composition of growing beef-on-dairy crossbred bulls (Brown Swiss breed as dam with Angus, Limousin or Simmental as sire) using three-dimensional (3D) imaging. The 3D images of the cattle’s external body shape were recorded in vivo on 48 bulls along growth trajectory (75–520 kg BW and 34–306 kg hot carcass weight [HCW]; set 1) and on 70 bulls at target market slaughter weight, including 18 animals from set 1 (average 517 ± 10 kg BW and 289 ± 10 kg HCW; set 2). The linear, circumference, curve, surface and volume measurements on the 3D body shape were determined. Those predictive variables were used in partial least square regressions, together with the effect of the sire breed whenever significant (P |
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ISSN: | 1751-7311 1751-732X 1751-732X |
DOI: | 10.1016/j.animal.2024.101174 |