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Xavier C, Morel I, Siegenthaler R, Dohme-Meier F, Dubois S, Luginbühl T, Le Cozler Y, Lerch S. Three-dimensional imaging to estimate in vivo body and carcass chemical composition of growing beef-on-dairy crossbred bulls. Animal 2024; 18:101174. [PMID: 38761441 DOI: 10.1016/j.animal.2024.101174] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2023] [Revised: 04/19/2024] [Accepted: 04/19/2024] [Indexed: 05/20/2024] Open
Abstract
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 < 0.05), with leave-one-out cross-validation to estimate water, lipid, protein, mineral and energy mass or proportions in the EB and carcass. Mass and proportions were determined directly from postmortem grinding and chemical analyses (set 1) or indirectly using the 11th rib dissection method (set 2). In set 1, bulls' BW and HCW were estimated via 3D imaging, with root mean square error of prediction (RMSEP) of 12 kg and 6 kg, respectively. The EB and carcass chemical component proportions were estimated with RMSEP from 0.2% for EB minerals (observed mean 3.7 ± 0.2%) to 1.8% for EB lipid (11.6 ± 4.2%), close to the RMSEP found for the carcass. In set 2, the RMSEP for estimation via 3D imaging was 9 kg for BW and 6 kg for HCW. The EB energy and protein proportions were estimated, with RMSEP of 0.5 MJ/kg fresh matter (10.1 ± 0.8 MJ/DM) and 0.2% (18.7 ± 0.7%), respectively. Overall, the estimations of chemical component proportions from 3D imaging were slightly less precise for both sets than the mass estimations. The morphological traits from the 3D images appeared to be precise estimators of BW, HCW as well as EB and carcass chemical component masses and proportions.
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Affiliation(s)
- C Xavier
- Ruminant Nutrition and Emissions, Agroscope, 1725 Posieux, Switzerland; PEGASE INRAE-Institut Agro Rennes-Angers, 16 Le Clos, 35590 Saint Gilles, France
| | - I Morel
- Ruminant Nutrition and Emissions, Agroscope, 1725 Posieux, Switzerland
| | - R Siegenthaler
- Research Contracts Animals Group, Agroscope, 1725 Posieux, Switzerland
| | - F Dohme-Meier
- Ruminant Nutrition and Emissions, Agroscope, 1725 Posieux, Switzerland
| | - S Dubois
- Feed Chemistry Research Group, Agroscope, 1725 Posieux, Switzerland
| | - T Luginbühl
- 3D Ouest, 5 rue de Broglie, 22300 Lannion, France
| | - Y Le Cozler
- PEGASE INRAE-Institut Agro Rennes-Angers, 16 Le Clos, 35590 Saint Gilles, France
| | - S Lerch
- Ruminant Nutrition and Emissions, Agroscope, 1725 Posieux, Switzerland.
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Barcelos SS, Vargas JAC, Mezzomo R, Gionbelli MP, Gomes DI, Oliveira LRS, Luz JB, Maciel DL, Alves KS. Predicting the chemical composition of the body and the carcass of hair sheep using body parts and carcass measurements. Animal 2020; 15:100139. [PMID: 33785186 DOI: 10.1016/j.animal.2020.100139] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2020] [Revised: 10/31/2020] [Accepted: 11/09/2020] [Indexed: 11/17/2022] Open
Abstract
Determination of the chemical composition in the body and carcass of ruminants is important for both nutritional requirement studies and the meat industry. This study aimed to develop equations to predict the body and carcass chemical composition of hair sheep using the chemical composition of body parts, carcass measurements and shrunk BW as predictors. A database containing 107 individual records for castrated male hair sheep ranging from 24 to 43 kg BW was gathered from two body composition studies. The empty body, carcass and body parts were analyzed for water, ash, fat and protein contents (%). The body parts used to estimate body and carcass composition were fore leg, hind leg and 9-11th rib section. The carcass measurements used were leg length, thoracic circumference, hind circumference, hind width, thoracic width, thoracic depth and chest width. Each model performance was evaluated using a leave-one-out cross-validation. Multiple regression analysis considering the study as a random effect revealed that body parts in association with carcass measurements were significant for predicting the chemical composition in the body of castrate male sheep. However, the use of the chemical composition of hind leg produced the best models for predicting the ash and fat contents in the empty body, whereas the water and protein contents in the empty body were better predicted when using the chemical compositions of 9-11th rib section and fore leg, respectively. Multiple regression analysis also revealed that most body parts were suitable for predicting the carcass composition, except for 9-11th rib section whose chemical composition did not produce significant prediction equations for ash and protein carcass contents. The use of the chemical composition of hind leg in association with carcass measurements produced the best models for predicting the water and fat contents in the carcass, while the ash and protein contents in the carcass were better predicted when using the chemical composition of fore leg. In conclusion, precision, accuracy and goodness-of-fit of the equations drove the selection of the chemical composition of hind leg and carcass measurements in a multivariate approach, as the most suitable predictors of the chemical composition of the body and carcass of hair sheep. However, the chemical composition of fore leg may be used as well. The developed equations could improve the accuracy of the empty body and carcass composition estimations in sheep, optimizing the estimation of nutrient requirements, as well as the carcass quality evaluation for this species.
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Affiliation(s)
- S S Barcelos
- Department of Animal Science, Universidade Federal Rural da Amazônia, Parauapebas, PA 68515-000, Brazil
| | - J A C Vargas
- Department of Animal Science, Universidade Federal Rural da Amazônia, Parauapebas, PA 68515-000, Brazil.
| | - R Mezzomo
- Department of Animal Science, Universidade Federal Rural da Amazônia, Parauapebas, PA 68515-000, Brazil
| | - M P Gionbelli
- Department of Animal Science, Universidade Federal de Lavras, Lavras, MG 37200-000, Brazil
| | - D I Gomes
- Department of Animal Science, Universidade Federal Rural da Amazônia, Parauapebas, PA 68515-000, Brazil
| | - L R S Oliveira
- Department of Animal Science, Universidade Federal Rural da Amazônia, Parauapebas, PA 68515-000, Brazil
| | - J B Luz
- Department of Animal Science, Universidade Federal Rural da Amazônia, Parauapebas, PA 68515-000, Brazil
| | - D L Maciel
- Department of Animal Science, Universidade Federal Rural da Amazônia, Parauapebas, PA 68515-000, Brazil
| | - K S Alves
- Department of Animal Science, Universidade Federal Rural da Amazônia, Parauapebas, PA 68515-000, Brazil
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Bautista-Díaz E, Mezo-Solis JA, Herrera-Camacho J, Cruz-Hernández A, Gomez-Vazquez A, Tedeschi LO, Lee-Rangel HA, Vargas-Bello-Pérez E, Chay-Canul AJ. Prediction of Carcass Traits of Hair Sheep Lambs Using Body Measurements. Animals (Basel) 2020; 10:ani10081276. [PMID: 32727056 PMCID: PMC7459708 DOI: 10.3390/ani10081276] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2020] [Revised: 07/17/2020] [Accepted: 07/22/2020] [Indexed: 11/16/2022] Open
Abstract
Simple Summary Some authors have reported that the use of body measurements (BMs) could be a useful tool for predicting carcass characteristics in sheep. Hair sheep breeds have been adopted for lamb production in the tropical regions of Latin America. Among these, Pelibuey and Katahdin breeds and their crosses have shown great reproductive capacity and adaptation, contributing to improving the productive efficiency of flocks in tropical production systems. However, few studies have been carried out on this breeds to define its BMs correctly, and little work has been found using BMs to predict the carcass characteristics in different physiological stages. Abstract The present study was designed to evaluate the relationship between the body measurements (BMs) and carcass characteristics of hair sheep lambs. Twenty hours before slaughter, the shrunk body weight (SBW) and BMs were recorded. The BMs involved were height at withers (HW), rib depth (RD), body diagonal length (BDL), body length (BL), pelvic girdle length (PGL), rump depth (RuD), rump height (RH), pin-bone width (PBW), hook-bone width (HBW), abdomen width (AW), girth (GC), and abdomen circumference (AC). After slaughter, the carcasses were weighed and chilled for 24 h at 1 °C, and then were split by the dorsal midline. The left-half was dissected into total soft tissues (muscle + fat; TST) and bone (BON), which were weighed separately. The weights of viscera and organs (VIS), internal fat (IF), and offals (OFF—skin, head, feet, tail, and blood) were also recorded. The equations obtained for predicting SBW, HCW, and CCW had an r2 ranging from 0.89 to 0.99, and those for predicting the TST and BON had an r2 ranging from 0.74 to 0.91, demonstrating satisfactory accuracy. Our results indicated that use of BMs could accurately and precisely be used as a useful tool for predicting carcass characteristics of hair sheep lambs.
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Affiliation(s)
- Emmanuel Bautista-Díaz
- División Académica de Ciencias Agropecuarias, Universidad Juárez Autónoma de Tabasco, Carretera Villahermosa-Teapa Km 25, Villahermosa 86280, Tabasco, Mexico; (E.B.-D.); (J.A.M.-S.); (A.C.-H.); (A.G.-V.)
| | - Jesús Alberto Mezo-Solis
- División Académica de Ciencias Agropecuarias, Universidad Juárez Autónoma de Tabasco, Carretera Villahermosa-Teapa Km 25, Villahermosa 86280, Tabasco, Mexico; (E.B.-D.); (J.A.M.-S.); (A.C.-H.); (A.G.-V.)
| | - José Herrera-Camacho
- Instituto de Investigaciones Agropecuarias y Forestales, Universidad Michoacana de San Nicolás de Hidalgo, Carretera Morelia-Zinapécuaro Km 9.5, El Trébol, Tarímbaro 58893, Michoacán, Mexico;
| | - Aldenamar Cruz-Hernández
- División Académica de Ciencias Agropecuarias, Universidad Juárez Autónoma de Tabasco, Carretera Villahermosa-Teapa Km 25, Villahermosa 86280, Tabasco, Mexico; (E.B.-D.); (J.A.M.-S.); (A.C.-H.); (A.G.-V.)
| | - Armando Gomez-Vazquez
- División Académica de Ciencias Agropecuarias, Universidad Juárez Autónoma de Tabasco, Carretera Villahermosa-Teapa Km 25, Villahermosa 86280, Tabasco, Mexico; (E.B.-D.); (J.A.M.-S.); (A.C.-H.); (A.G.-V.)
| | - Luis Orlindo Tedeschi
- Department of Animal Science, Texas A&M University, College Station, TX 77843-2471, USA;
| | - Héctor Aarón Lee-Rangel
- Facultad de Agronomía y Veterinaria, Universidad Autónoma de San Luis Potosí, San Luis Potosí 78000, S.L.P., Mexico;
| | - Einar Vargas-Bello-Pérez
- Department of Veterinary and Animal Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Grønnegårdsvej 3, DK-1870 Frederiksberg C, Denmark
- Correspondence: (E.V.-B.-P.); (A.J.C.-C.)
| | - Alfonso Juventino Chay-Canul
- División Académica de Ciencias Agropecuarias, Universidad Juárez Autónoma de Tabasco, Carretera Villahermosa-Teapa Km 25, Villahermosa 86280, Tabasco, Mexico; (E.B.-D.); (J.A.M.-S.); (A.C.-H.); (A.G.-V.)
- Correspondence: (E.V.-B.-P.); (A.J.C.-C.)
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