Improvement of Meat Quality Evaluation by Ultrasound in Carpatina Goat Breed
Keywords:
quality meat, ultrasound, non - invasive methodAbstract
This paper proposes a non-invasive method for goat carcass estimation, efficient and easy to use, without sacrificing and able to keep the animals for reproduction: ultrasound method. In the present study, the following parameters were measured by ultrasound method: fat layer, muscle depth, eye muscle area, eye muscle perimeter in Longissimus Dorsi, between two measurements point (12th rib and between 3rd and 4th lumbar vertebra). Young goats (33.65kg, BW), 9 months of age, and adult female goats (35.99 kg BW), were used. In young goat, fat layer (1.86, 1.94 mm), muscle depth (18.97, 17.34 mm), eye muscle area (8.18, 8.25 cm2) and eye muscle perimeter (123.93, 125.06 mm) was similar with those founded in other goat breeds. High correlations were found between body weight and ultrasound parameters for muscle depth (0.81, 0.61) and eye muscle area (0.74, 0.67) in young goats. In adults, the ultrasound measurements showed 1.99, 2.04 mm for fat, 19.96, 19.26 mm for muscle depth and 9.02 and 9.17 cm2 for muscle eye area. High correlations were found also for adult for the same parameters, body weight and ultrasound for muscle depth (0.61, 0.63) and eye muscle area (0.45, 0.41). In the second phase of this study correlations with carcass derived from slaughtered animals will be carried out.
References
Stanford K., McAllisterb T.A., MacDougallb M., Baileyb D.R.C., Use of ultrasound for the prediction of carcass characteristics in Alpine goats, Small Ruminant Research, 15 ,1995, pp. 195-201
Dhanda J.S., Taylor D.G. and. McCosker J.E, Growth, carcass and meat quality of buck kids reared to produce capretto carcasses, Animal Production in Australia 1998, 22, pp. 161-164
Pathak V., Singh V. P., Yadov Sanjay, Ultrasound as a modern tool for carcass evaluation and meat processing: a review, International Journal of Meat Science, 2011, 1, (2), pp.83-92
Teixeira A., Joy M.and Delfa R., In vivo estimation of goat carcass composition and body fat partition by real-time ultrasonography, J Anim Sci, 2008, 86, 2369-2376. doi: 10.2527/jas.2007-0367 originally published online May 9
Lazar C., Gras M.Al, Pelmus R.S., Rotar C.M., Ghita E.and Burlacu R., Estimation of meat amount by non-linear multiple regression equations using in vivo and carcass measurements on Teleorman Black Head lambs, Journal of Animal and Feed Sciences, 2016, 25, pp. 292-301
Daina Kairisa, Dace Barzdina, Quality evaluation of fattening lambs using ultrasonic scanner mindray dp-50 vet, Engineering for rural development, 2016, pp. 750-755
Banskalieva V., Sahlu T., Goetsch A.L., Fatty acid composition of goat muscles and fat depots: a review, Small Ruminant Research, 2000, 37, 3, pp. 255–268
Monau P. I. , Nsoso S. J. , Waugh E. E. , Sharma S. P., Ultrasound measurements of live and carcass traits in Tswana goat kids raised under semi-intensive system in South-eastern Botswana, Tropical Animal Health and Production, 2013, 45, 3, pp. 781–789
Delfa R., Teixeira A., Gonzalez C., and Vijil E., Ultrasonic measurements for predicting carcass quality in live goats, 1996, in Abstracts of the 47th Annul Meeting EAAP, Lillehammer, Norway, Wageningen, Netherlands, pp 272
Silva, S. R., J. J. Afonso, V. A. Santos, A. Monteiro, C. M. Guedes, J. M. T. Azevedo, and A. Dias-da-Silva, In vivo estimation of sheep carcass composition using real-time ultrasound with two probes of 5 and 7.5 MHz and image analysis, 2006, J. Anim. Sci., 84, pp. 3433–3439
Teixeira A., Matos S., Rodrigues S., Delfa R., and Cadavez V., In vivo estimation of lamb carcass composition by real-time ultrasonography, 2006, Meat Science, 74, pp. 289–295
Ripoll G., Joy M., Sanz A., Estimation of carcass composition by ultrasound measurements in 4 anatomical locations of 3 com¬mercial categories of lamb, J. Anim. Sci., 2010, 88, pp. 3409–3418, https://doi.org/10.2527/jas.2009-2632
Orman A., Caliskan G.U., Dikmen S., The assessment of car¬cass traits of Awassi lambs by real-time ultrasound at different body weights and sexes. J. Anim. Science, 2010, 88, pp. 3428–3438, https:// doi.org/10.2527/jas.2009-2431
