Prediction of the carcass tissue composition of “Blackbelly” lambs using in vivo and postmortem measurements

Predicción de la composición tisular de canales de corderos “Blackbelly” usando mediciones in vivo y postmortem

Objective. Predict the tissue carcass composition of “Blackbelly” lambs using in vivo and postmortem measurements. Materials and methods. Twenty lambs with an average age and weight of seven months and 29.07±2.88 kg, respectively, were used. Before slaughter, the subcutaneous fat thickness, depth, width and Longissimus dorsi muscle area were measured with ultrasonography. After slaughter, the cold carcass and tissues: muscle, fat and bone weight, were recorded. In the carcass, the thoracic depth, length, perimeter, length and width of the leg, as well as the compactness index, were also measured and recorded. Correlation analysis and regression models were used to predict tissue carcass composition. Results. The carcass tissues were correlated with L. dorsi muscle depth (p≤0.05; r-values ranged from 0.67 to 0.80) and carcass compactness index (p≤0.05; r ranged from 0.54 to 0.75). The r² for the prediction equations of the carcass tissue composition ranged from 0.71 to 0.78 for fat (p≤0.001). Conclusions. The use of in vivo and postmortem measurements allowed the prediction of tissue carcass composition of lambs, with moderate to high accuracy (r² >0.71≤ and ≤0.78). 

1. Santos VA, Silvestre AM, Azevedo JM, Silva SR. Estimation of carcase composition of goat kids from joint dissection and conformation measurements. Ital J Ani Sci. 2017; 16(4):659-665. https://doi.org/10.1080/1828051X.2017.1321472
2. García OIdel C, Oliva HJ, Osorio AMM, Torres HG, Hinojosa CJA, González GR. Influencia materna en el crecimiento predestete y características de la canal de corderos de pelo. Ecosis Recur Agropec. 2017; 4(10):51-63. https://doi.org/10.19136/era.a4n10.818
3. Bautista DE, Salazar CER, Chay CAJ, García HRA, Piñeiro VAT, Magaña MJG, Tedeschi LO, Cruz HA, Gómez VA. Determination of carcass traits in Pelibuey ewes using biometric measurements. Small Ruminant Res. 2017; 147:115–119. https://doi.org/10.1016/j.smallrumres.2016.12.037
4. Bautista DE, Mezo SJA, Herrera CJ, Cruz HA, Gómez VA, Tedeschi LO, Lee RHA, Vargas BPE, Chay CAJ. Prediction of carcass traits of hair sheep lambs using body measurements. Animals. 2020; 10(8):1276. https://doi.org/10.3390/ani10081276
5. Aguilar HE, Chay CAJ, Gómez VA, Magaña MJG, Ríos RFG, Cruz HA. Relationship of ultrasound measurements and carcass traits in Pelibuey ewes. J Anim Plant Sci. 2016; 26(2):325-330. https://www.thejaps.org.pk/docs/v-26-02/04.pdf
6. Chay CAJ, Pineda RJJ, Olivares PJ, Ríos RFG, García HRA, Piñeiro VAT, Casanova LF. Prediction of carcass characteristics of discarded Pelibuey ewes by ultrasound measurements. Rev Mex Cienc Pecu. 2019; 10(2):473-481. https://doi.org/10.22319/rmcp.v10i2.4551
7. Morales MMA, Arce RC, Mendoza TMM, Luna PC, Ramírez BMA, Piñeiro VAT, Vicente PR, Tedeschi LO, Chay CAJ. Developing equations for predicting internal body fat in Pelibuey sheep using ultrasound measurements. Small Ruminant Res. 2020; 183:106031. https://doi.org/10.1016/j.smallrumres.2019.106031
8. Díaz MT, Cañeque V, Lauzurica S, Velasco S, de Huidobro FR, Pérez C. Prediction of suckling lamb carcass composition from objective and subjective carcass measurements. Meat Sci. 2004; 66(4):895-902. https://doi.org/10.1016/j.meatsci.2003.08.013
9. Lambe NR, Navajas EA, Fisher AV, Simm G, Roehe R, Bünger L. Prediction of lamb meat eating quality in two divergent breeds using various live animal and carcass measurements. Meat Sci. 2009; 83(3):366-375. https://doi.org/10.1016/j.meatsci.2009.06.007
10. Chay CAJ, Magaña MJG, Chizzotti ML, Piñeiro VAT, Canul SJR, Ayala BAJ, Tedeschi LO. Requerimientos energéticos de ovinos de pelo en las regiones tropicales de Latinoamérica. Revisión. Rev Mex Cienc Pecu. 2016; 7(1):105-125. https://doi.org/10.22319/rmcp.v7i1.4152
11. Almeida A. Barbados Blackbelly: the Caribbean ovine genetic resource. Trop Anim Health Prod. 2017; 2:239-250. https://doi.org/10.1007/s11250-017-1475-5
12. Escalante CS, Vázquez JS, López DSK, Arcos ADN, Arbez ATA, Piñeiro VAT, Muñoz BAL, Vargas BPE, Chay CAJ. Using the 9th-11th rib section to predict carcass tissue composition in Blackbelly sheep. Ital J Anim Sci. 2022; 21(1):161-167. https://doi.org/10.1080/1828051X.2021.2002731
13. }13. Sabbioni A, Beretti V, Ablondi M, Righi F, Superchi P. Allometric coefficients for carcass and non-carcass components in a local meat-type sheep breed. Small Ruminant Res. 2018; 159:69-74. https://doi.org/10.1016/j.smallrumres.2017.11.005
14. Ruiz de Huidobro F, Cañeque V, Ortega E, Velasco S. Morfología de la canal ovina. En: Cañeque V, Sañudo C editores. Metodología para el estudio de la calidad de la canal y de la carne en rumiantes. Madrid, España: Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria. Ministerio de Ciencia y Tecnología; 2000.
15. Carrasco S, Ripoll G, Sanz A, Álvarez-Rodríguez J, Panea B, Revilla R, Joy M. Effect of feeding system on growth and carcass characteristics of Churra Tensina light lambs. Livest Sci. 2009; 121(1):56-63. https://doi.org/10.1016/j.livsci.2008.05.017
16. SAS 9.3 Software. Institute Inc., Cary, North Carolina, USA. 2010.
17. Fernandes MHMR, Resende KT, Tedeschi LO, Fernandes JS, Teixeira IAMA, Carstens GE, Berchielli TT. Predicting the chemical composition of the body and the carcass of 3/4Boer × 1/4Saanen kids using body components. Small Ruminant Res. 2008; 75:90–98. https://doi.org/10.1016/j.smallrumres.2007.09.005
18. 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. Animals. 2021; 15(3):100139. https://doi.org/10.1016/j.animal.2020.100139
19. Marcondes MI, Tedeschi LO, Valadares Filho SC, Costa Silva LF, Silva Da Lopes. Using growth and body composition to determine weight at maturity in Nellore cattle. Anim Prod Sci. 2015; 56:1121–1129. http://dx.doi.org/10.1071/AN14750
20. Almeida AK, Resende KT, Tedeschi LO, Fernandes MH, Regadas Filho JG, Teixeira IA. Using body composition to determine weight at maturity of male and female Saanen goats. J Anim Sci. 2016; 94:2564–2571. http://dx.doi.org/10.2527/jas2015-0060