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Canlı Hayvanlarda Bilgisayarlı X-Ray Tomografi Ölçüleri Kullanılarak Vücut Kompozisyonu ve Karkas Kalitesinin Tahmin Edilmesi

Year 2013, Volume: 16 Issue: 3, 25 - 31, 10.03.2014

Abstract

Özet: Günümüzde hayvanlardan vücut ölçüleri alabileceğimiz güvenilirlik ve fiyatı farklı pek çok teknoloji vardır. Bunlardan Bilgisayarlı Tomografi (BT), ilk olarak tıpta tanı için kullanılmış ve son 20-30 yıldan bu yana ise çiftlik hayvanlarında karkas kalitesinin belirlenmesi çalışmalarına başarılı bir şekilde uyarlanmıştır. Elde edilen verilerin seleksiyon indekslerinde kullanılmasıyla da daha yüksek genetik ilerleme sağlanmıştır. BT ile canlı hayvanlardan karkas ağırlığı, yağ, kas ve kemik miktarları, karkas randımanı, yağ oranları, but, bel ve göğüs bölgelerinde kas yüzdesi ile göz kası uzunluğu, derinliği ve genişliği ölçülebilmektedir. Günümüzde BT teknolojisi başta İngiltere ve Yeni Zelanda olmak üzere birçok ülkede et koyunculuğunda, et sığırcılığında, domuz, kanatlı hayvan ve balık yetiştiriciliğinde başarılı bir şekilde kullanılmaktadır. Bununla birlikte bu yöntemin pahalı olması ve belirli cihazlara ihtiyaç duyulması gibi dezavantajları vardır. Bu derlemede canlı hayvanların vücut kompozisyonlarının belirlenmesi ve karkas kalitesinin iyileştirilmesinde BT teknolojisinden yararlanma olanakları değerlendirilmiştir.

Anahtar kelimeler: Karkas kalitesi, Seleksiyon, Et, Çiftlik Hayvanları

 

Using X-ray Computed Tomography Measurements to Predict Body Composition and Carcass Quality of Live Animals

 

Summary: There are many technologies available to measure body composition and they differ in accuracy, reliability and cost, at the present time. For example, computer technology (CT), originally used in diagnostic medicine for humans, have been adapted in the last 20-30 years for using determination of carcass quality study in farm animal species with considerable success. The data from live animal using computer technology for index selection also obtained high genetic gain per generation. This scope, using by CT in live animals can be measured total carcass weight, amount of fat, muscle, and bone, rate of carcass fat, muscle and bone, carcass yield, percentage of shoulder, back and chest muscles of parts of the eye muscle length and depth. More recently, especially the United Kingdom and New Zealand in some countries, including, the use of CT in carcasses has been used to successfully in pigs, sheep, beef cattle, poultry and fish breeding. Nevertheless, these methods are expensive and need specific equipment. In this review, using CT technology opportunities was assessed to determine improving body composition and carcass quality of live animals.

Keywords: Carcass Quality, Selection, Meat, Livestock

References

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  • Brenİe, U.T., Kolstad, K., 2000. Body Composition and Development Measured Repeatedly by Computer Tomography During Growth in Two Types of Turkeys. Poultry Sci. 79: 546-552.
  • Bünger, L.. Macfarlane, J.M., Lambe, N.R., Conington, J., McLean, KA., Moore, K., Glasbey, C.A., Simm, G., 2011. Use of X-Ray Computed Tomography (CT) in UK Sheep Production and Breeding, CT Scanning Techniques and Applications, Dr. Karupppasamy Subburaj (Ed.), ISBN: 978-953-307943Cavanagh, C.R., Jonas, E., Hobbs, M., Thomson, P.C., Tammen, I., Raadsma, H.W., 2010. Mapping Quantitative Trait Loci (QTL) in sheep. III. QTL for carcass composition traits derived from CT scans and aligned with a meta-assembly for sheep and cattle carcass QTL. Gen. Sel. Evol. 42: 36 doi:1186/1297-9686-42-36.
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Using X-ray Computed Tomography Measurements to Predict Body Composition and Carcass Quality of Live Animals

Year 2013, Volume: 16 Issue: 3, 25 - 31, 10.03.2014

Abstract

There are many technologies available to measure body composition and they differ in accuracy, reliability and cost, at the present time. For example, ultrasound scanners, originally used in diagnostic medicine for humans, have been adapted in the last 20-30 years for use on farm animal species with considerable success. The data from live animal using computer technology (CT) for index selection also obtained high genetic gain per generation. This scope, using by CT in live animals can be measured total carcass weight, amount of fat, muscle, and bone, rate of carcass fat, muscle and bone, carcass yield, muscle: bone and muscle: fat ratio, percentage of shoulder, back and chest muscles of parts of the eye muscle length and depth. More recently, especially the United Kingdom and New Zealand in some countries, including, the use of CT in carcasses has been used to successfully in pigs, sheep, beef cattle poultry and fish breeding. Nevertheless, these methods are expensive and need specific equipment. In this review, using CT technology opportunities was assessed to determine improving body composition and carcass quality of live animals.

References

  • Allen, P., Leymaster, K.A., 1989. Machine Error In xRay Computer Tomography and Its Relevance To Prediction of In Vivo Body Composition. Live. Prod. Sci. 13: 383-398.
  • Amer, P.R., Nieuwhof, G.J., Pollott, G.E,, Roughsedge, T., Conington. J., Simm, G., 2007. Industry benefits from recent genetic progress in sheep and beef populations. Animal. 1: 1414-1426.
  • Arthur, P.F., Barchia, I.M., Giles, L.R., Eamens G.J., 20 Chemical composition of growing pigs and its relationship with body tissue composition assessed by X-ray-computed tomography. J. Anim. Sci. 89 (12): 3935-3944.
  • Asher, G.W., Archer, J.A., Ward, J.F., Mackintosh, C.G., Littlejohn, R.P., 2011. The effect of prepubertal castration of red deer and wapiti-red deer crossbred stags on growth and carcass production. Livest. Sci.137:196-204.
  • Bertolini, G., Prokop, M., 2011. Multidetector-row computed tomography: Technical basics and preliminary clinical applications in small animals. Vet. J.189 (1):15-26.
  • Brenİe, U.T., Kolstad, K., 2000. Body Composition and Development Measured Repeatedly by Computer Tomography During Growth in Two Types of Turkeys. Poultry Sci. 79: 546-552.
  • Bünger, L.. Macfarlane, J.M., Lambe, N.R., Conington, J., McLean, KA., Moore, K., Glasbey, C.A., Simm, G., 2011. Use of X-Ray Computed Tomography (CT) in UK Sheep Production and Breeding, CT Scanning Techniques and Applications, Dr. Karupppasamy Subburaj (Ed.), ISBN: 978-953-307943Cavanagh, C.R., Jonas, E., Hobbs, M., Thomson, P.C., Tammen, I., Raadsma, H.W., 2010. Mapping Quantitative Trait Loci (QTL) in sheep. III. QTL for carcass composition traits derived from CT scans and aligned with a meta-assembly for sheep and cattle carcass QTL. Gen. Sel. Evol. 42: 36 doi:1186/1297-9686-42-36.
  • Cemal, İ., Karaca, O., Altın, T., Gokdal, O., Yılmaz, M., Yılmaz, O., 2007. Ultrasound Measurments of Eye Muscle Properties and Backfat Thicness in Kivircik
  • Lambs. Journal of Biological Science. 7(1):89-94. Ceyhan, A., 2013. CT Scanning Service. Technical visit. 05.06.2013. Edinburgh/ Scotland.
  • Çilek, S., Tekin M.E, 2004. Koyunlarda karkas derecelendirmesi, Hayvancılık Araştırma Dergisi, 14 (1-2): 103-110.
  • Çilek, S., Tekin, M.E, 2005. Koyun karkaslarının derecelendirmesinde ultrasonik yöntemler ve sondaların kullanılması, Hayvancılık Araştırma Dergisi. 15(2):17-23.
  • Donaldson, C.L., Lambe, N.R., Maltin, C.A., Knott, S., Bunger, L., 2013. Between -and within-breed variations of spine characteristics in sheep. J. Anim. Sci. 91(2): 995-1004.
  • Emmans, G.C., Kyriazakis, I., Fisher, C., 2000. Consequences of selecting for growth and body composition characteristics in poultry and pigs. The challenge of genetic change in animal production. pp. 39-53, BSAS.
  • Glasbey, C.A., Young, M.J., 2002. Maximum a posteriori estimation of image boundaries by dynamic programming. J. Roy. Stat. Soc. C-App. 51: 209-2
  • Hill, W.G., Bishop, S.C., McGuirk, B., Mckay, J.C., Simm, G., Webb, A.J., 2000. The challenge of genetic change in animal production. Foreword to publication. The challenge of genetic change in animal production. (Hill W.G., Bishop, S.C., McGuirk, B., Mckay, J.C., Simm, G., Webb, A.J, eds) pp. BSAS.
  • Humann-Ziehank, E., Brauer, C., Kuks, A., Andreae, A., Bruegmann, M.L., Ganter, M., 2011. Imaging and score-based quantification of ovine pulmonary adenocarcinoma using computed tomography as an additional tool in advanced clinical diagnosis. Small Ruminant Res. 96: 201-210.
  • İnce, D., Ayhan, V., 2008. Koyunlarda Karkas Kalitesinin Belirlenmesinde Kullanılan Yöntemler. Hayvansal Üretim 49(1): 57-61.
  • Jones, H.E., Lewis, R.M., Young, M.J., Wolf, B.T., 200 The use of X-ray computer tomography for measuring the muscularity of live sheep. Anim. Sci. 75: 387-399. Karamichou, E., Richardson, R.I., Nute, G.R., McLean, K.A., Bishop, S.C., 2006. A partial genome scan to map quantitative trait loci for carcass composition, as assessed by X ray computer tomography, and meat quality traits in Scottish Blackface Sheep. Anim. Sci. 82: 301-309.
  • Karamichou, E.B., Merrell, G., Murray, W.A., Simm, G., Bishop, S.C., 2007. Selection for carcass quality in hill sheep measured by X-ray computer tomography. Animal.1: 3-11.
  • Kempster, A.J., 1986. Correlations between indirect and direct measurements of body composition. P. Nutr. Soc. 45: 55-62.
  • Kim, W.K., Bloomfield, S.A., Ricke, S.C., 2011. Effects of age, vitamin D3, and fructooligosaccharides on bone growth and skeletal integrity of broiler chicks. Poultry Sci. 90: 2425-2432.
  • Kor, A., Ertuğrul, M., 2000. Canlı Hayvanda Karkas Kompozisyonu Tahmin Yöntemleri. Hayvansal Üretim. 41: 91-101.
  • Korver, D.R., Saunders-Blades, J.L., Nadeau, K.L., 200 Assessing Bone Mineral Density In Vivo: Quantitative Computed Tomography. Poultry Sci. 83: 222-229. Krause, W., 1999. Delivery of diagnostic agents in computed tomography. Adv. Drug. Delivery. Rev. 37:159-173.
  • Kupai, T., Baulain, U., Lengyel, A., 2009. Growth modelling of different ram breeds using computer tomography. Small Ruminant Res. 87: 1-8.
  • Kvame, T., McEwan, J.C., Amer, P.R., Jopson, N.B., 200 Economic benefits in selection for weight and composition of lamb cuts predicted by computer tomography. Livest. Prod. Sci. 90: 123-133. Kvame, T., Vangen, O., 2006. In-vivo composition of carcass regions in lambs of two genetic lines, and selection of CT positions for estimation of each region. Small Ruminant Res. 66: 201-208.
  • Kvame, T., Vangen, O., 2007. Selection for lean weight based on ultrasound and CT in a meat line of sheep. Livest. Sci.106: 232-242.
  • Lambe, N.R., McLean, K.A., Macfarlane, J.M., Johnson, P.L., Jopson, N.B., Haresign, W., Richardson, R.I., Bünger, L., 2010. Predicting intramuscular fat content of lamb loin fillets using CT scanning. Proceedings of the Farm Animal Imaging Congress, Rennes, France, 2010.
  • Lambe, N.R., Navajas, E.A., McLean, K.A., Simm, G., Bünger, L., 2007. Changes in carcass traits during growth in lambs of two contrasting breeds, measured using computer tomography. Livest. Sci. 107: 37-52. Macfarlane, J.M., Lambe, N.R, Bishop, S.C., Matika, O., Rius-Vilarrasa, E., McLean, K.A., Haresign, W., Wolf, B.T., McLaren, R.J., Bünger, L., 2009. Effects of the Texel muscling quantitative trait locus on carcass traits in crossbred lambs. Animal. 3 (2): 189-1
  • Macfarlane, J.M., Lewis, R.M., Emmans, G.C., Young, M.J., Simm, G., 200 Predicting carcass composition of terminal sire sheep using X-ray computed tomography. Anim. Sci. 82 (3): 289-300. Macfarlane, J.M., Lewis, R.M., Emmans, G.C., Young, M.J., Simm, G., 2009. Predicting tissue distribution and partitioning in terminal sire sheep using x-ray computed tomography. J. Anim. Sci. 87: 107-118.
  • Mann, A.D., Young, M.J., Glasbey, C.A., McLean, K.A., 2008. STAR: Sheep Tomogram Analysis Routines (V.4.8). BioSS software documentation, University of Edinburgh.
  • Mantis, P., Baines, E., 2007. Computed tomography: Why use it in small animal practice? Vet. J. 173(2): 237-2
  • Maximini, L., Brown, D.J., Baumung, R., Fuerst-Waltl, B., 2012. Genetic parameters of ultrasound and computer tomography scan traits in Austrian meat sheep. Livest. Sci. 146, 168-174.
  • Muller, T., Molnar, T., Szabo, A., Yamaha, E., Jarasi, E.Z., Bercsenyi, M., Specziar, A., Urbanyi, B., Romvari, R., 2012. In Vivo Tracking of Maturation in Male European Eel, Anguilla Anguilla (L.), By Computed Tomography. Acta. Biol. Hung. 63(2): 180-188, 2012.
  • Narsaiah, K., Shyam, N., 2012. Nondestructive methods for quality evaluation of livestock products. Food Sci. Technol. 49 (3): 342-348.
  • Navajas, E.A., Glasbey, C.A., McLean, K.A., Fisher, A.V., Charteris, A.J.L., Lambe, N.R, Bünger L, Simm, G., 2006. In vivo measurements of muscle volume by automatic image analysis of spiral computed tomography scans. Anim Sci. 82: 5455
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There are 51 citations in total.

Details

Primary Language English
Journal Section HAYVAN YETİŞTİRME (Animal Production)
Authors

Ayhan Ceyhan

Publication Date March 10, 2014
Published in Issue Year 2013 Volume: 16 Issue: 3

Cite

APA Ceyhan, A. (2014). Canlı Hayvanlarda Bilgisayarlı X-Ray Tomografi Ölçüleri Kullanılarak Vücut Kompozisyonu ve Karkas Kalitesinin Tahmin Edilmesi. KSÜ Doğa Bilimleri Dergisi, 16(3), 25-31. https://doi.org/10.18016/ksujns.28721
AMA Ceyhan A. Canlı Hayvanlarda Bilgisayarlı X-Ray Tomografi Ölçüleri Kullanılarak Vücut Kompozisyonu ve Karkas Kalitesinin Tahmin Edilmesi. KSÜ Doğa Bilimleri Dergisi. March 2014;16(3):25-31. doi:10.18016/ksujns.28721
Chicago Ceyhan, Ayhan. “Canlı Hayvanlarda Bilgisayarlı X-Ray Tomografi Ölçüleri Kullanılarak Vücut Kompozisyonu Ve Karkas Kalitesinin Tahmin Edilmesi”. KSÜ Doğa Bilimleri Dergisi 16, no. 3 (March 2014): 25-31. https://doi.org/10.18016/ksujns.28721.
EndNote Ceyhan A (March 1, 2014) Canlı Hayvanlarda Bilgisayarlı X-Ray Tomografi Ölçüleri Kullanılarak Vücut Kompozisyonu ve Karkas Kalitesinin Tahmin Edilmesi. KSÜ Doğa Bilimleri Dergisi 16 3 25–31.
IEEE A. Ceyhan, “Canlı Hayvanlarda Bilgisayarlı X-Ray Tomografi Ölçüleri Kullanılarak Vücut Kompozisyonu ve Karkas Kalitesinin Tahmin Edilmesi”, KSÜ Doğa Bilimleri Dergisi, vol. 16, no. 3, pp. 25–31, 2014, doi: 10.18016/ksujns.28721.
ISNAD Ceyhan, Ayhan. “Canlı Hayvanlarda Bilgisayarlı X-Ray Tomografi Ölçüleri Kullanılarak Vücut Kompozisyonu Ve Karkas Kalitesinin Tahmin Edilmesi”. KSÜ Doğa Bilimleri Dergisi 16/3 (March 2014), 25-31. https://doi.org/10.18016/ksujns.28721.
JAMA Ceyhan A. Canlı Hayvanlarda Bilgisayarlı X-Ray Tomografi Ölçüleri Kullanılarak Vücut Kompozisyonu ve Karkas Kalitesinin Tahmin Edilmesi. KSÜ Doğa Bilimleri Dergisi. 2014;16:25–31.
MLA Ceyhan, Ayhan. “Canlı Hayvanlarda Bilgisayarlı X-Ray Tomografi Ölçüleri Kullanılarak Vücut Kompozisyonu Ve Karkas Kalitesinin Tahmin Edilmesi”. KSÜ Doğa Bilimleri Dergisi, vol. 16, no. 3, 2014, pp. 25-31, doi:10.18016/ksujns.28721.
Vancouver Ceyhan A. Canlı Hayvanlarda Bilgisayarlı X-Ray Tomografi Ölçüleri Kullanılarak Vücut Kompozisyonu ve Karkas Kalitesinin Tahmin Edilmesi. KSÜ Doğa Bilimleri Dergisi. 2014;16(3):25-31.