Accuracy of Real-time Ultrasonography in Assessing Carcass Traits in Torki-Ghashghaii Sheep

Authors
1 Department of Animal Sciences, University College of Agriculture and Natural Resources,University of Tehran, Karaj, Iran
2 Department of Animal Sciences, Faculty of Agriculture and Natural Resources, University of Tehran, Karaj, Iran
Abstract
The possibility of in vivo carcass trait prediction using the ultrasound measurements obtained between 12th and 13th ribs was studied. Attention was paid to several carcass traits such as carcass backfat thickness (CBFT), carcass longissimus dorsi muscle (CLMA) and carcass weight (HCW). Also, the effects of the flock, as the fixed effects, and body weight (BW), as covariate, on these traits were considered. The study was carried out on 99 lamb of Torki-Ghashghaii breed from 4 flocks. BW had significant effects (P< 0.001) on HCW, Fat-tail, CBFT, and CLMA, but had no significant effect on carcass longissimus dorsi muscle depth (CLMD) and width (CLMW). The flock had a significant effect (P< 0.0001) on HCW and CBFT, only. The correlations between ultrasound and carcass measurements, before and after adjustment for flock effect, ranged between (0.27 to 0.80) and (0.22 to 0.78), respectively. Estimates of CBFT, CLMW, CLMD and CLMA based on the corresponding ultrasound measurements explained 49%, 29%, 59%, and 64% of their variation, respectively. BW explained 57% variation of HCW and only 12% variation of Fat-tail. The introduction of two or three ultrasound measurements by stepwise procedure in the multiple regression equations improved the explanation of variation for all traits by 0.01 up to 0.13. The results indicate that ultrasound has potential for carcass traits prediction in live Torki-Ghashghaii sheep.

Keywords


1. Abdullah, A. Y. and Qudsieh, R. I. 2008. Carcass Characteristics of Awassi Ram Lambs Slaughtered at Different Weights. Livest Sci., 117: 165-175.
2. Bedhiaf Romdhani, S. and Djemali, M. 2006. Estimation of Sheep Carcass Traits by Ultrasound Technology. Livest Sci., 101: 294-299.
3. Cemal, I., Karaca, O., Altin, T., Gokdal, O., Yilmaz, M. and Yilmaz, O. 2007. Ultrasound Measurements of Eye Muscle Properties and Backfat Thickness in Kivircik Lambs. J. Biol. Sci., 7: 89-94.
4. Fernández, C., García, A., Vergara, H. and Gallego, L. 1998. Using Ultrasound to Determine Fat Thickness and Longissimus Dorsi Area on Manchego Lambs of Different Live Weight. Small Rumin. Res., 27: 159-165.
5. Hopkins, D. 1990. The Use of Ultrasound to Predict Fatness in Lambs. Meat Sci., 27: 275-281.
6. Junkuszew, A. and Ringdorfer, F. 2005. Computer Tomography and Ultrasound Measurement as Methods for the Prediction of the Body Composition of Lambs. Small Rumin. Res., 56: 121-125.
7. Leeds, T., Mousel, M., Notter, D., Zerby, H., Moffet, C. and Lewis, G. 2008. B-mode, Real-time Ultrasound for Estimating Carcass Measures in Live Sheep: Accuracy of Ultrasound Measures and Their Relationships with Carcass Yield and Value. J. Anim. Sci., 86: 3203-3214.
8. 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. J. Anim. Sci., 88: 3428-3438.
9. Orman, A., ÇalIskan, G.Ü., Dikmen, S., Üstüner, H., Ogan, M. M. and ÇalIskan, Ç. 2008. The Assessment of Carcass Composition of Awassi Male Lambs by Real-time Ultrasound at Two Different Live Weights. Meat Sci., 80: 1031-1036.
10. Prevolnik, M., Škorjanc, D., Čandek-Potokar, M., Novič, M., 2011. Application of Artificial Neural Networks in Meat Production and Technology. Computer and Information Science,11, 223-240, ISBN: 978-953-307-220-3.
11. 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. J. Anim. Sci., 87: 1455-1463.
12. Safdarian, M., Zamiri, M., Hashemi, M. and Noorolahi, H. 2008. Relationships of Fat-tail Dimensions with Fat-tail Weight and Carcass Characteristics at Different Slaughter Weights of Torki-Ghashghaii Sheep. Meat Sci., 80: 686-689.
13. Sahin, E., Yardimci, M., Cetingul, I., Bayram, I. and Sengor, E. 2008. The Use of Ultrasound to Predict the Carcass Composition of Live Akkaraman Lambs. Meat Sci., 79: 716-721.
14. Silva, S., Afonso, J., Santos, V., Monteiro, A., Guedes, C., Azevedo, J. 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. J. Anim. Sci., 84: 3433-3439.
15. Stanford, K., Bailey, D., Jones, S., Price, M. and Kemp, R. 2001. Ultrasound Measurement of Longissimus Dimensions and Backfat in Growing Lambs: Effects of Age, Weight and Sex. Small Rumin. Res., 42: 189-195.
16. Stanford, K., Jones, S. and Price, M. 1998. Methods of Predicting Lamb Carcass Composition: A Review. Small Rumin. Res., 29: 241-254.
17. Swatland, H., Ananthanarayanan, S. and Goldenberg, A. 1994. A Review of Probes and Robots: Implementing New Technologies in Meat Evaluation. J. Anim. Sci., 72: 1475-1486.
18. Teixeira, A., Joy, M. and Delfa, R. 2008. In vivo Estimation of Goat Carcass Composition and Body Fat Partition by Real-time Ultrasonography. J. Anim. Sci., 86: 2369-2376.
19. Teixeira, A., Matos, S., Rodrigues, S., Delfa, R. and Cadavez, V. 2006. In vivo Estimation of Lamb Carcass Composition by Real-time Ultrasonography. Meat Sci., 74: 289-295.
20. 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. J. Anim. Sci., 87: 1801-1813.