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Application of bioelectrical impedance analysis in prediction of light kid carcass and muscle chemical composition

Published online by Cambridge University Press:  17 October 2017

S. R. Silva ,
J. Afonso ,
A. Monteiro ,
R. Morais ,
A. Cabo ,
A. C. Batista ,
C. M. Guedes  and
A. Teixeira
S. R. Silva
Affiliation:
Centro de Ciência Animal e Veterinária, Universidade de Trás-os-Montes e Alto Douro, 5001-801 Vila Real, Portugal
J. Afonso*
Affiliation:
Centro de Investigação Interdisciplinar em Sanidade Animal, Faculdade de Medicina Veterinária, ULisboa, Avenida da Universidade Técnica, 1300-477, Lisboa, Portugal
A. Monteiro
Affiliation:
CI&DETS – Instituto Politécnico de Viseu-ESAV, Quinta da Alagoa, 3500-606 Viseu, Portugal
R. Morais
Affiliation:
INESC TEC - INESC Technology and Science and Universidade de Trás-os-Montes e Alto Douro, UTAD, Vila Real, Portugal
A. Cabo
Affiliation:
Centro de Ciência Animal e Veterinária, Universidade de Trás-os-Montes e Alto Douro, 5001-801 Vila Real, Portugal
A. C. Batista
Affiliation:
Centro de Ciência Animal e Veterinária, Universidade de Trás-os-Montes e Alto Douro, 5001-801 Vila Real, Portugal
C. M. Guedes
Affiliation:
Centro de Ciência Animal e Veterinária, Universidade de Trás-os-Montes e Alto Douro, 5001-801 Vila Real, Portugal
A. Teixeira
Affiliation:
Centro de Ciência Animal e Veterinária; IPB, ESA, 3501-855 Bragança, Portugal
*
†E-mail: [email protected]
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Abstract

Carcass data were collected from 24 kids (average live weight of 12.5±5.5 kg; range 4.5 to 22.4 kg) of Jarmelista Portuguese native breed, to evaluate bioelectrical impedance analysis (BIA) as a technique for prediction of light kid carcass and muscle chemical composition. Resistance (Rs, Ω) and reactance (Xc, Ω), were measured in the cold carcasses with a single frequency bioelectrical impedance analyzer and, together with impedance (Z, Ω), two electrical volume measurements (VolA and VolB, cm2/Ω), carcass cold weight (CCW), carcass compactness and several carcass linear measurements were fitted as independent variables to predict carcass composition by stepwise regression analysis. The amount of variation explained by VolA and VolB only reached a significant level (P<0.01 and P<0.05, respectively) for muscle weight, moisture, protein and fat-free soft tissue content, even so with low accuracy, with VolA providing the best results (0.326⩽R2⩽0.366). Quite differently, individual BIA parameters (Rs, Xc and Z) explained a very large amount of variation in dissectible carcass fat weight (0.814⩽R2⩽0.862; P<0.01). These individual BIA parameters also explained a large amount of variation in subcutaneous and intermuscular fat weights (respectively 0.749⩽R2⩽0.793 and 0.718⩽R2⩽0.760; P<0.01), and in muscle chemical fat weight (0.663⩽R2⩽0.684; P<0.01). Still significant but much lower was the variation in muscle, moisture, protein and fat-free soft tissue weights (0.344⩽R2⩽0.393; P<0.01) explained by BIA parameters. Still, the best models for estimation of muscle, moisture, protein and fat-free soft tissue weights included Rs in addition to CCW, and accounted for 97.1% to 99.8% (P<0.01) of the variation observed, with CCW by itself accounting for 97.0% to 99.6% (P<0.01) of that variation. Resistance was the only independent variable selected for the best model predicting subcutaneous fat weight. It was also selected for the best models predicting carcass fat weight (combined with carcass length, CL; R2=0.943; P<0.01) and intermuscular fat weight (combined with CCW; R2=0.945; P<0.01). The best model predicting muscle chemical fat weight combined CCW and Z, explaining 85.6% (P<0.01) of the variation observed. These results indicate BIA as a useful tool for prediction of light kids’ carcass composition.

Keywords

light kidcarcassmusclechemical compositionbioelectrical impedance
Type
Research Article
Information
animal , Volume 12 , Issue 6 , June 2018 , pp. 1324 - 1330
Copyright
© The Animal Consortium 2017 

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References

Association of Official Analytical Chemists 1990. Official methods of analysis, 15th ed. AOAC Inc., Arlington, VA, USA.Google Scholar
Berg, EP and Marchello, MJ 1994. Bioelectrical impedance analysis for the prediction of fat-free mass in lambs and lamb carcasses. Journal of Animal Science 72, 322–329.Google Scholar
Berg, EP, Neary, MK, Forrest, JC, Thomas, DL and Kauffman, RG 1996. Assessment of lamb carcass composition from live animal measurement of bioelectrical impedance or ultrasonic tissue depths. Journal of Animal Science 74, 2672–2678.CrossRefGoogle ScholarPubMed
Berg, EP, Neary, MK, Forrest, JC, Thomas, DL and Kauffman, RG 1997. Evaluation of electronic technology to assess lamb carcass composition. Journal of Animal Science 75, 2433–2444.Google Scholar
Bünger, L, Macfarlane, JM, Lambe, NR, Conington, J, McLean, KA, Moore, K, Glasbey, CA and Simm, G 2011. Use of X-ray computed tomography (CT) in UK sheep production and breeding. In CT scanning – techniques and applications (ed. S Karuppasamy), pp 329–348. INTECH Europe, Rijeka, Croatia.Google Scholar
Collewet, G, Bogner, P, Allen, P, Busk, H, Dobrowolski, A, Olsen, E and Davenel, A 2005. Determination of the lean meat percentage of pig carcasses using magnetic resonance imaging. Meat Science 70, 563–572.Google Scholar
Daza, A, Mateos, A, Ovejero, I and López Bote, CJ 2006. Prediction of body composition of Iberian pigs by means bioelectrical impedance. Meat Science 72, 43–46.Google Scholar
Delfa, R, Teixeira, A and González, C 1994. Crecimiento y desarrollo de los depósitos adiposos del cuerpo de la cabra Blanca Celtibérica. Revista Portuguesa de Zootecnia 1, 131–135.Google Scholar
Fisher, AV and De Boer, H 1994. The EAAP standard method of sheep carcass assessment Carcass measurements and dissection procedures. Livestock Production Science 38, 149–159.Google Scholar
Jenkins, TG, Leymaster, KA and Turlington, LM 1988. Estimation of fat-free soft tissue in lamb carcasses by use of carcass and resistive impedance measurements. Journal of Animal Science 66, 2174–2179.Google Scholar
Marchello, MJ, Berg, PT, Swantek, PM and Tilton, JE 1999a. Predicting live and carcass lean using bioelectrical impedance technology in pigs. Livestock Production Science 58, 151–157.Google Scholar
Marchello, MJ, McLennan, JE, Dhuyvetter, DV and Slanger, WD 1999b. Determination of saleable product in finished cattle and beef carcasses utilizing bioelectrical impedance technology. Journal of Animal Science 77, 2965–2970.Google Scholar
Marchello, MJ and Slanger, WD 1992. Use of bioelectrical impedance to predict leanness of Boston butts. Journal of Animal Science 70, 3443–3450.Google Scholar
Marchello, MJ and Slanger, WD 1994. Bioelectrical impedance can predict skeletal muscle and fat-free skeletal muscle of beef cows and their carcasses. Journal of Animal Science 72, 3118–3123.Google Scholar
Mialich, MS, Sicchieri, JMF and Jordao, AA Jr 2014. Analysis of body composition: a critical review of the use of bioelectrical impedance analysis. International Journal of Clinical Nutrition 2, 1–10.Google Scholar
Santos, VAC, Silva, SR and Azevedo, JMT 2008. Carcass composition and meat quality of equally mature kids and lambs. Journal of Animal Science 86, 1943–1950.Google Scholar
Sarubbi, F, Bàculo, R and Balzarano, D 2008. Bioelectrical impedance analysis for the prediction of fat-free mass in buffalo calf. Animal 2, 1340–1345.Google Scholar
Scholz, M, Bünger, L, Kongsro, J, Baulain, U and Mitchell, D 2015. Non-invasive methods for the determination of body and carcass composition in livestock: dual-energy X-ray absorptiometry, computed tomography, magnetic resonance imaging and ultrasound: invited review. Animal 9, 1250–1264.Google Scholar
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, 350–357.CrossRefGoogle ScholarPubMed
Swantek, PM, Crenshaw, JD, Marchello, MJ and Lukaski, HC 1992. Bioelectrical impedance: a non-destructive method to determine fat-free mass of live market swine and pork carcasses. Journal of Animal Science 70, 169–177.Google Scholar
Swantek, PM, Marchello, MJ, Tilton, JE and Crenshaw, JD 1999. Prediction of fat-free mass of pigs from 50 to 130 kilograms live weight. Journal of Animal Science 77, 893–897.Google Scholar
Swatland, HJ 1984. Structure and development of meat animals. Prentice-Hall, Englewood Cliffs, NJ, USA.Google Scholar
Teixeira, A, Azevedo, J, Delfa, R, Morand-Fehr, P and Costa, C 1995. Growth and development of Serrano kids from Montesinho Natural Park (NE of Portugal). Small Ruminant Research 16, 263–269.Google Scholar
Velazco, J, Morril, JL and Grunewald, KK 1999. Utilization of bioelectrical impedance to predict carcass composition of Holstein steers at 3, 6, 9 and 12 months of age. Journal of Animal Science 77, 131–136.Google Scholar
Zollinger, BL, Farrow, RL, Lawrence, TE and Latman, NS 2010. Prediction of beef carcass salable yield and trimmable fat using bioelectrical impedance analysis. Meat Science 84, 449–454.Google Scholar