Estimation of meat amount by non-linear multiple regression equations using in vivo and carcass measurements on Teleorman Black Head lambs
C. Lazar 1  
,   M.Al. Gras 1,   R.S. Pelmus 1,   C.M. Rotar 1,   E. Ghita 1,   R. Burlacu 2
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National Research Development Institute for Animal Biology and Nutrition (INCDBNA), Laboratory of Animal Biology, Calea Bucuresti no. 1, Balotesti, Ilfov, 077015, Romania
University of Agronomic Sciences and Veterinary Medicine of Bucharest, 59 Mărăşti Boulevard, District 1, 011464 Bucharest, Romania
C. Lazar   

National Research Development Institute for Animal Biology and Nutrition (INCDBNA), Laboratory of Animal Biology, Calea Bucuresti no. 1, Balotesti, Ilfov, 077015, Romania
Publication date: 2016-12-19
J. Anim. Feed Sci. 2016;25(4):292–301
In the present study non-linear multiple regression equations and carcass ultrasound measurements were used to estimate the amount of meat in carcass and commercial cuts in local breed Teleorman Black Head (TBH). The measurements were conducted on 79 TBH lambs aged 2.5 months, in two points (P1 – located 5 cm from the spine, in line with the 12th rib; P2 – located between 3rd and 4th lumbar) of longisimus dorsi muscle to obtain the following parameters: subcutaneous fat layer thickness (2.21; 2.03 mm), muscle depth (20.81; 19.54 mm), muscle eye area (8.93; 8.71 cm2) and muscle perimeter (121.97; 121.57 mm). The non-linear multiple regression equations based on all four ultrasound parameters measured in P1 gave the most precise estimations for carcass meat and commercial cuts: leg and loin (0.994), shoulder (0.963) and rack (0.938). The best estimations of the carcass meat amount and half carcass meat amount using three ultrasound parameters (depth, eye area and perimeter of muscle) were obtained in P1, with a precision of 0.818 and 0.803, respectively. Non-linear multiple regression equations using only one ultrasound parameter (muscle eye area) measured in P2 gave the most precise estimations for: carcass meat (0.916), half carcass meat (0.880) and commercial cuts such as loin (0.976), rack (0.950) and shoulder (0.911). The non-linear multiple regression equations developed by using ultrasounds parameters showed very high precision coefficients, which suggests that only ultrasound measurements and proposed equations might be used to estimate the meat production and to improve the evaluation of sheep selected for meat production.
Abdel-Mageed I., Ghanem N., 2013. Predicting body weight and longissimus muscle area using body measurements in subtropical goat kids. Egypt. J. Sheep Goat Sci. 8, 95–100
Abdel-Moneim A.Y., 2009. Body and carcass characteristics of Ossimi, Barki and Rahmani ram lambs raised under intensive production system. Egypt. J. Sheep Goat Sci. 4, 1–16
Agamy R., Abdel-Moneim A.Y., Abd-Alla M.S., Abdel-Mageed I.I., Ashmawi G.M., 2015. Use of ultrasound measurements to predict carcass characteristics of Egyptian ram-lambs. Asian J. Anim. Vet. Adv. 10, 203–214, https://doi.org/10.3923/ajava. 2015.203.214
Cadavez V.A.P., Monteiro F.C., 2011. Comparison of alternative models to predict lean meat percentage of lamb carcasses. Int. J. Biol. Biomol. Agric. Food Biotechnol. Eng. 5, 841–845
Devitt C.J.B., Wilton J.W., 2001. Genetic correlation estimates between ultrasound measurements on yearling bulls and carcass measurements on finished steers. J. Anim. Sci. 79, 2790–2797, https://doi.org/10.2527/2001.7...
Dewi I.A., Saatci M., Ulutas Z., 2002. Genetic parameters of weights, ultrasonic muscle and fat depths, maternal effects and reproductive traits in Welsh Mountain sheep. Anim. Sci. 74, 399–408, https://doi.org/10.1017/S13577...
Emenheiser J.C., Greiner S.P., Lewis R.M., Notter D.R., 2010. Longitudinal changes in ultrasonic measurements of body composition during growth in Suffolk ram lambs and evaluation of alternative adjustment strategies for ultrasonic scan data. J. Anim. Sci. 88, 1341–1348, https://doi.org/10.2527/jas.20...
Fernández C., Gallego L., Quintanilla A., 1997. Lamb fat thickness and longissimus muscle area measured by a computerized ultrasonic system. Small Rumin. Res. 26, 277–282, https://doi.org/10.1016/S0921-... (97)00007-2
Fernández C., García A., Vergara H., 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, http://doi.org/10.1016/S0921-4... (97)00034-5
Flamant J.-C., Boccard R., 1966. Estimation de la qualité de la carcasse des agneaux de boucherie. Ann. Zootech. 15, 89–113, http://dx.doi.org/10.1051/anim...
Fogarty N.M., 1995. Genetic parameters for live weight, fat and muscle measurements, wool production and reproduction in sheep: A review. Anim. Breed. Abs. 63, 101–143
Fogarty N.M., Banks R.G., Gilmour A.R., Brash L.D., 1992. Enhancement of LAMBPLAN to incorporate maternal traits and the eye muscle measurements. Proc. Aust. Assoc. Anim. Breed. Genet. 10, 63–66
Ghita E., Lazar C., Pelmus R, Voicu I., 2010. Comparative research on the fattening aptitude of the growing lambs of local Romanian breeds. Biotechnol. Anim. Husb. 26, 13–20, https://doi.org/10.2298/BAH100...
Hăbeanu M., Hebean V., Lefter N.A., Ropotă M., Panait Al.M., 2010. Effect of dietary n-3 polyunsaturated fatty acids on longissimus dorsi and semitendinosus muscle in pigs. Sci. Pap. Anim. Sci. Ser. 53, 844–849
Hebean V., Hăbeanu M., Ciucă N., Voicu D., 2009. Brewer`s starch corn as alternative feed ingredient to improve efficacy and meta quality of Large White pigs in growing-finishing period. Arch. Zootech. 12, 46–55
Hosseini Vardanjani S.M., Miraei Ashtiani S.R., Pakdel A., Moradi Shahrebabak H., 2014. Accuracy of real-time ultrasonography in assessing carcass traits in Torki-Ghashghaii sheep. J. Agric. Sci. Technol. 16, 791–800
Houghton P.L., Turlington L.M., 1992. Application of ultrasound for feeding and finishing animals: a review. J. Anim. Sci. 70, 930–941, https://doi.org/10.2527/1992.7...
Ibrahim C., Orhan K., Tufan A., Ozdal G., Murat Y., Onur Y., 2007. Ultrasounds measurements of eye muscle properties and backfat thickness in Kivircik lams. J. Biol. Sci. 7, 89–94, https://doi.org/10.3923/jbs.20...
Larsgard A.G., Kolstad K., 2003. Selection for ultrasonic muscle depth; direct and correlated response in a Norwegian experimental sheep flock. Small Rumin. Res. 48, 23–29, https://doi.org/10.1016/S0921-... (02)00291-2
Lazar C., Pelmus R., Ghita E., 2009. Research on body development dynamic of Carabsh lambs in suckling period. Sci. Pap. Anim. Sci. Ser. 52, 311–316
Orman A., Caliskan G.U., 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, https://doi.org/10.2527/jas.20...
Peña F., Cano T., Domenech V., Alcalde Ma.J., Martos J., García- -Martinez A., Herrera M., Rodero E., 2005. Influence of sex, slaughter weight and carcass weight on “non-carcass” and carcass quality in Segurena lambs. Small Rumin. Res. 60, 247–254, https://doi.org/10.1016/j.smal...
Ripoll G., Joy M., Sanz A., 2010. Estimation of carcass composition by ultrasound measurementsin 4 anatomical locations of 3 commercial categories of lamb. J. Anim. Sci. 88, 3409–3418, https://doi.org/10.2527/jas.20...
Russel A.J.F., 1995. Ultrasonography and body composition in sheep, In: P.J. Goddard (Editor). Veterinary Ultrasonography. CAB International. Wallingford (UK), pp. 315–324
Silva S.R., Afonso J.J., Santos V.A., Monteiro A., Guedes C.M., Azevedo J.M.T., 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, https://doi.org/10.2527/jas.20...
Wilson D.E., 1992. Application of ultrasound for genetic improvement. J. Anim. Sci. 70, 973–983, https://doi.org/10.2527/1992. 703973x