Hostname: page-component-586b7cd67f-vdxz6 Total loading time: 0 Render date: 2024-11-24T06:35:18.012Z Has data issue: false hasContentIssue false

Using real-time ultrasound for in vivo assessment of carcass and internal adipose depots of dairy sheep

Published online by Cambridge University Press:  23 March 2020

J. Afonso*
Affiliation:
Faculdade de Medicina Veterinária, ULisboa, Avenida da Universidade Técnica1300-477, Lisboa, Portugal
C. M. Guedes
Affiliation:
Centro de Ciência Animal e Veterinária, Universidade de Trás-os-Montes e Alto Douro, 5001-801Vila Real, Portugal
A. Teixeira
Affiliation:
CIMO, Instituto Politécnico de Bragança, 5300-253, Portugal
V. Santos
Affiliation:
Centro de Ciência Animal e Veterinária, Universidade de Trás-os-Montes e Alto Douro, 5001-801Vila Real, Portugal
J. M. T. Azevedo
Affiliation:
Centro de Ciência Animal e Veterinária, Universidade de Trás-os-Montes e Alto Douro, 5001-801Vila Real, Portugal
S. R. Silva
Affiliation:
Centro de Ciência Animal e Veterinária, Universidade de Trás-os-Montes e Alto Douro, 5001-801Vila Real, Portugal
*
Author for correspondence: J. Afonso, E-mail: [email protected]

Abstract

Fifty-one Churra da Terra Quente ewes (4–7 years old) were used to analyse the potential of real-time ultrasound (RTU) to predict the amount of internal adipose depots, in addition to carcass fat (CF). The prediction models were developed from live weight (LW) and RTU measurements taken at eight different locations. After correlation and multiple linear regression analysis, the prediction models were evaluated by k-fold cross-validation and through the ratio of prediction to deviation (RPD). All prediction models included at least one RTU measurement as an independent variable. Prediction models for the absolute weight of the different adipose depots showed higher accuracy than prediction models for fat content per kg of LW. The former showed to be very good or excellent (2.4 ⩽ RPD ⩽ 3.8) for all adipose depots except mesenteric fat (MesF) and thoracic fat, with the model for MesF still providing useful information (RPD = 1.8). Prediction models for fat content per kg of LW were also very good or excellent for subcutaneous fat, intermuscular fat, CF and body fat (2.6 ⩽ RPD ⩽ 3.2), while the best prediction models for omental fat, kidney knob, channel fat and internal fat still provided useful information. Despite some loss in the accuracy of the estimates obtained, there was a similar pattern in terms of RPD for models developed from LW and RTU measurements taken just at the level of the 11th thoracic vertebra. In vivo RTU measurements showed the potential to monitor changes in ewe internal fat reserves as well as in CF.

Type
Animal Research Paper
Copyright
Copyright © Cambridge University Press 2020

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Butler, WR (2003) Energy balance relationships with follicular development, ovulation and fertility in postpartum dairy cows. Livestock Production Science 83, 211218.CrossRefGoogle Scholar
Caldeira, RM and Portugal, AV (2007) Relationships of body composition and fat partition with body condition score in Serra da Estrela ewes. Asian-Australasian Journal of Animal Science 20, 11081114.CrossRefGoogle Scholar
Casoli, C, Duranti, E, Morbidini, L, Panella, F and Vizioli, V (1989) Quantitative and compositional variations of Massese sheep milk by parity and stage of lactation. Small Ruminant Research 2, 4762.CrossRefGoogle Scholar
Chay-Canul, AJ, Garcia-Herrera, R, Meza-Villalvazo, VM, Gomez-Vazquez, A, Cruz-Hernandez, A, Magaña-Monforte, JG and Ku-Vera, JC (2016) Body fat reserves and their relationship to ultrasound back fat measurements in Pelibuey ewes. Ecosistemas y Recursos Agropecuarios 3, 407413.Google Scholar
Chilliard, Y, Bocquier, F and Doreau, M (1998) Digestive and metabolic adaptations of ruminants to undernutrition, and consequences on reproduction. Reproduction Nutrition Development 38, 131152.CrossRefGoogle ScholarPubMed
Delfa, R, Teixeira, A, Cadavez, V, Gonzalez, C and Sierra, I (2000) Relationships between ultrasonic measurements in live goats and the same measurements taken on carcass. In Gruner, L and Chabert, Y (eds), Proceedings of the 7th International Conference on Goats. Paris, France: Institut de l'Elevage and INRA, pp. 833834.Google Scholar
Emenheiser, JC, Greiner, SP, Lewis, RM and Notter, DR (2010) Validation of live animal ultrasonic measurements of body composition in market lambs. Journal of Animal Science 88, 29322939.CrossRefGoogle ScholarPubMed
Fisher, AV and De Boer, H (1994) The EAAP standard method of sheep carcass assessment. Carcass measurements and dissection procedures. Report of the EAAP working group on carcass evaluation, in cooperation with the CIHEAM Instituto Agronomico Mediterraneo of Zaragoza and the CEC Directorate General for Agriculture in Brussels. Livestock Production Science 38, 149159.CrossRefGoogle Scholar
Forcada, F and Abecia, JA (2006) The effect of nutrition on the seasonality of reproduction in ewes. Reproduction Nutrition Development 46, 355365.CrossRefGoogle ScholarPubMed
Friggens, NC (2003) Body lipid reserves and the reproductive cycle: towards a better understanding. Livestock Production Science 83, 219236.CrossRefGoogle Scholar
Frutos, P, Mantecón, AR and Girádez, FJ (1997) Relationship of body condition score and live weight with body composition in mature Churra ewes. Animal Science 64, 447452.CrossRefGoogle Scholar
Gibb, MJ, Ivings, WE, Dhanoa, MS and Sutton, JD (1992) Changes in body components of autumn-calving Holstein-Friesian cows over the first 29 weeks of lactation. Animal Production 55, 339360.Google Scholar
Gomes, RC, Constantino, C, Fernandes, F, Koritiaki, NA, Niwa, MVG, Marconato, MN, Castro, FAB and Ribeiro, ELA (2012) Relationships among internal fat depots and subcutaneous fat in sheep. Journal of Animal Science 90(suppl. 3), 382.Google Scholar
Grill, L, Ringdorfer, F, Baumung, R and Fuerst-Waltl, B (2015) Evaluation of ultrasound scanning to predict carcass composition of Austrian meat sheep. Small Ruminant Research 123, 260268.CrossRefGoogle Scholar
Hosseini Vardanjani, SM, Miraei Ashtiani, SR, Pakdel, A and Moradi Shahrebabak, H (2014) Accuracy of real-time ultrasonography in assessing carcass traits in Torki-Ghashghaii sheep. Journal of Agricultural Science and Technology 16, 791800.Google Scholar
Kasap, A, Špehar, M, Držaić, V, Mulc, D, Barać, Z, Antunović, Z and Mioč, B (2019) Impact of parity and litter size on dairy traits in Istrian ewes. Journal of Central European Agriculture 20, 556562.CrossRefGoogle Scholar
Kempster, AJ (1981) Fat partition and distribution in the carcasses of cattle, sheep and pigs: a review. Meat Science 5, 8398.CrossRefGoogle ScholarPubMed
Lambe, NR, Conington, J, McLean, KA, Navajas, EA, Fisher, AV, Bünger, L and Sustainable Livestock Systems Group, SAC (2006) In vivo prediction of internal fat weight in Scottish Blackface lambs, using computer tomography. Journal of Animal Breeding and Genetics 123, 105113.CrossRefGoogle ScholarPubMed
Lambe, NR, Navajas, EA, Bünger, L, Fisher, AV, Roehe, R and Simm, G (2009) Prediction of lamb carcass composition and meat quality using combinations of post-mortem measurements. Meat Science 81, 711719.CrossRefGoogle ScholarPubMed
Mendizabal, JA, Delfa, R, Arana, A, Eguinoa, P, González, C, Treacher, T and Purroy, A (2003) Estimating fat reserves in Rasa Aragonesa ewes: a comparison of different methods. Canadian Journal of Animal Science 83, 695701.CrossRefGoogle Scholar
Mendizabal, JA, Delfa, R, Arana, A, Eguinoa, P and Purroy, A (2007) Lipogenic activity in goats (Blanca Celtibérica) with different body condition scores. Small Ruminant Research 67, 285290.CrossRefGoogle Scholar
Orman, A, Caliskan, G and Dikmen, S (2010) The assessment of carcass traits of Awassi lambs by real-time ultrasound at different body weights and sexes. Journal of Animal Science 88, 34283438.CrossRefGoogle ScholarPubMed
Ripoll, G, Joy, M, Alvarez-Rodriguez, J, Sanz, A and Teixeira, A (2009) Estimation of light lamb carcass composition by in vivo real-time ultrasonography at four anatomical locations. Journal of Animal Science 87, 14551463.CrossRefGoogle ScholarPubMed
Silva, SR, Gomes, MJ, Dias-da-Silva, A, Gil, LF and Azevedo, JM (2005) Estimation in vivo of the body and carcass chemical composition of growing lambs by real-time ultrasonography. Journal of Animal Science 83, 350357.CrossRefGoogle ScholarPubMed
Silva, SR, Afonso, JJ, Santos, VA, Monteiro, A, Guedes, CM, Azevedo, JMT and Dias-da-Silva, A (2006) In vivo estimation of sheep carcass composition using real-time ultrasound with two probes of 5 and 7. 5 MHz and image analysis. Journal of Animal Science 84, 34333439.CrossRefGoogle ScholarPubMed
Silva, SR, Afonso, J, Guedes, CM, Gomes, MJ, Santos, VA, Azevedo, JMT and Dias-da-Silva, A (2016) Ewe whole body composition predicted in vivo by real-time ultrasonography and image analysis. Small Ruminant Research 136, 173178.CrossRefGoogle Scholar
Taylor, S, Murray, JI and Thonney, ML (1989) Breed and sex differences among equally mature sheep and goats. 4. Carcass muscle, fat and bone. Animal Production 49, 385409.Google Scholar
Teixeira, A, Matos, S, Rodrigues, S, Delfa, R and Cadavez, V (2006) In vivo estimation of lamb carcass composition by real-time ultrasonography. Meat Science 74, 289295.CrossRefGoogle ScholarPubMed
Teixeira, A, Joy, M and Delfa, R (2008) In vivo estimation of goat carcass composition and body fat partition by real-time ultrasonography. Journal of Animal Science 86, 23692376.CrossRefGoogle ScholarPubMed
Thériault, M, Pomar, C and Castonguay, F (2009) Accuracy of real-time ultrasound measurements of total tissue, fat, and muscle depths at different measuring sites in lamb. Journal of Animal Science 87, 18011813.CrossRefGoogle ScholarPubMed
Vernon, RG (1980) Lipid metabolism in the adipose tissue of ruminant animals. Progress in Lipid Research 19, 23106.CrossRefGoogle ScholarPubMed
Viscarra Rossel, RA, McGlynn, RN and McBratney, AB (2006) Determining the composition of mineral-organic mixes using UV-vis-NIR diffuse reflectance spectroscopy. Geoderma 137, 7082.CrossRefGoogle Scholar
Wood, JD, MacFie, HJH, Pomeroy, RW and Twinn, DJ (1980) Carcass composition in four sheep breeds: the importance of type of breed and stage of maturity. Animal Production 30, 135152.Google Scholar
Wright, IA and Russel, AJF (1984) Partition of fat, body composition and body condition score in mature cows. Animal Production 38, 2332.Google Scholar