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Genetic Parameters Estimation for Some Functional Milk Traits of Brown Swiss Dairy Cattle

Year 2014, Volume: 1 Issue: 3, 301 - 311, 09.11.2014

Abstract

The objective of this study was to estimate heritabilities and to investigate the genetic relationship between some functional milk traits such as milk yield (MY), dry matter (DM), fat (F) and milking duration (MD) on Brown Swiss dairy cattle breeding in Turkey with random regression model using heterogeneous residual error variance interval. Variance components were estimated with 4 multiple-trait (4 traits at a time) random regression model via restricted maximum likelihood (REML) with AI-REML algorithm. Data were obtained from an experimental farm and comprised 636 test day (TD) records for each trait. Average heritability for MY, DM, F and MD were 0.29, 0.10, 0.16 and 0.05, respectively. The largest genetic correlation interval were found between F and MD and ranged from -0.34 to 0.72 throughout lactation. The shape of genetic correlation curve of DM-MD was similar to F-MD and genetic correlation between DM-MD ranged from -0.24 to 0.61. Genetic correlations of other traits changed from 0.08 to 0.65 for MY-DM, -0.16 to 0.28 for MY-MD and 0.04 to 0.59 for MY-F throughout lactation. Results from this study implied that increasing fat percentage in milk and other milk components may have led to decrease the flow of milk and consequently, affected the milking duration.

References

  • Boettcher, P.J., Dekkers J.C.M., Kolstad B.W., 1998. Development of an udder health index for sire selection based on somatic cell score, udder conformation, and milking speed. Journal of Dairy Science. 81:1157–1168.
  • Bohmanova, J., Miglior F., Jamrozik J., Misztal I., Sullivan, P.G., 2008. Comparison of Random Regression Models with Legendre Polynomials and Linear Splines for Production Traits and Somatic Cell Score of Canadian Holstein Cows. Journal of Dairy Science. 91:3627–3638.
  • Cobuci, J.A., Euclydes R.F., Lopes, P.S. Claudio, N.C., Robledo, A.T., Carmen S.P., 2005. Estimation of genetic parameters for test-day milk yield in Holstein cows using a random regression model. Genetics and Molecular Biology. 28: 75-83.
  • Duru, S., Kumlu, S., Tuncel, E., 2012. Estimation of variance components and genetic parameters for type traits and milk yield in Holstein cattle. Turk. J. Vet. Anim. Sci. 36(6): 585-591.
  • Ertuğrul, O, Orman M.N., Güneren G., 2002. Some genetic parameters of milk production in the Holstein breed. Turk. J. Ve.t Anim. Sci. 26: 463-469.
  • Galiç, A., Kumlu, S., 2012. Application of a random regression model to estimation of genetic parameters of test day milk yields of Turkish Holstein Firesians. Kafkas Univ Vet Fak Derg. 18 (5): 719-724.
  • Haile-Mariam, M., Bowman, P.J., Goddard, M.E., 2001. Genetic and environmental correlations between test day somatic cell count and milk yield traits. Livestock. Production Science 73: 1–13.
  • Hammami, H., Rekik, B., Soyeurt, H., Ben Gara A., Gengler, N., 2008. Genetic parameters for Tunisian Holstein Using a Test- Day Random Regression Model. Journal of Dairy Science. 91: 2118–2116.
  • Hossein-Zadeh, N.G., Ardalan, M., 2011. Estimation of genetic parameters for milk urea nitrogen and its relationship with milk constituents in Iranian Holsteins. Livestock Science. 135: 274–281.
  • Ilahi, H., Kadarmideen, H.N., 2004. Bayesian segregation analysis of milk flow in Swiss dairy cattle using Gibbs sampling. Genetics Selection Evolution. 36:563–576.
  • INTERBULL. International bull evaluation service [Internet]. c1997-2012. Sweden: permanent sub-committee of the International Committee for Animal Recording (ICAR); [cited 2007 Nov 30]. Available from: http://www interbull.slu.se/eval/aug07.html.
  • Karacaören, B., Jaffrézic, F., Kadarmideen, H.N., 2006. Genetic parameters for functional traits in dairy cattle from daily random regression models. Journal of Dairy Science. 89:791–798.
  • Kumlu, S., 2003. Hayvan Islahı 2. Basım [Animal Breeding 2th edition]. Ankara: Türkiye Damızlık Sığır Yetiştiricileri Merkez Birliği Yayınları.
  • Macciotta, N.P.P., Vicario, D., Cappio-Borlino, A., 2005. Detection of different shapes of lactation curve for milk yield in dairy cattle by empirical mathematical models. Journal of Dairy Science. 88:1178-1191.
  • Macciotta, N.P.P., Dimauro, C, Rassu, S.P.G., Steri, R., Pulina, G., 2011. The mathematical description of lactation curves in dairy cattle. Ital. Journal of Animal Science. 10: 51 213-223.
  • Meyer, K., 2007. Wombat: a tool for mixed model analyses in quantitative genetics by REML. [Internet]. Version 19-05-2012. Armidale: University of New England Australia. Available from : http://didgeridoo.une.edu.au/km/homepage.php.
  • Miglior, F., Sewalem, A., Jamrozik, J., Bohmanova, J., Lefebvre, D.M, Moore, R.K., 2007. Genetic analysis of milk urea nitrogen and lactose and their relationships with other production traits in Canadian Holstein cattle. Journal of Dairy Science. 90, 2468–2479.
  • Misztal, I., 2008. Reliable computing in estimation of variance components. Journal of Animal Breeding and Genetics. 125: 363-370.
  • Sharaby, M.A., Burnside, E.B, Hacker, R.R., 1977. Accuracy of an automated technique for determining individual milking rates under field conditions. Journal of Dairy Science. 60:133.
  • Silvestre, A.M., Petim-Batista, F., Colaco, J., 2005. Genetic parameter estimates of Portuguese dairy cows for milk, fat, and protein using a spline test-day model. Journal of Dairy Science. 88:1225-1230.
  • Stoop, W.M, Bovenhuis, H., van Arendok, J.A.M., 2007. Genetic parameters for milk urea nitrogen in relation to milk production traits. J. Dairy Sci. 90: 1981–1986.
  • Takma, Ç., Akbaş, Y., 2009. Variance components and genetic parameter estimates using random regression models on test day milk yields of Holstein Friesians. The Journal of the Faculty of Veterinary Medicine, University of Kafkas. 15 (4): 547-551.
  • Tilki, M., Saatcı., M., Çolak, M., 2008. Genetic parameters for direct and maternal effects and estimation of breeding values for birth weight in brown Swiss cattle. Turk. J. Vet. Anim. Sci. 32(4): 287-292.
  • Ünalan, A., Cebeci, Z., 2004. Estimation of genetic parameters and correlations for the first three lactation milk yields in Holstein Friesian cattle by the REML method. Turk. J. Vet. Anim. Sci. 28: 1043-1049.
  • Yazgan, K., Makulska, J., Węglarz, A., Ptak, E., Gierdziewicz, M., 2010. Genetic relationship between milk dry matter and other milk traits in extended lactations of Polish Holstein cows. Czech Journal of Animal Science, 55 (3), 91–104.
  • Zwald, N.R., Weigel K.A., Chang Y.M., Welper, R.D, Clay, J.S., 2005. Genetic evaluation of dairy sires for milking duration using electronically recorded milking times of their daughters. Journal of Dairy Science. 88:1192–1198.

Esmer Irkı Süt Sığırlarında Bazı İşlevsel Süt Verim Özelliklerine İlişkin Genetik Parametre Tahminleri

Year 2014, Volume: 1 Issue: 3, 301 - 311, 09.11.2014

Abstract

Bu çalışmanın amacı Türkiye de yetiştiriciliği yapılan Esmer ırkı süt sığırlarında süt verimi (MY), kuru madde (DM), süt yağı (F) ve sağım süresi (MD) gibi bazı işlevsel süt verim özelliklerinin kalıtım derecelerini hesaplamak ve bu özelliklerin aralarındaki genetik ilişkiyi araştırmaktır. Araştırma da şansa bağlı regresyon modeli kullanılmış ve denetim günleri aralıklarında hata varyansının farklı olduğu kabul edilmiştir. Varyans bileşenleri şansa bağlı regresyon modelinde dört özelliğin aynı anda modele dahil edilmesi ile kısıtlanmış en yüksek olabilirlik (REML) metodu ile AI-REML algoritması kullanarak tahminlenmiştir. Araştırma da deneysel bir çiftlikten elde edilen ve her bir süt verim özelliğinin dahil olduğu 636 denetim günü kaydı kullanılmıştır. MY, DM, F and MD için kalıtım dereceleri ortalamaları sırasıyla 0.29, 0.10, 0.16 ve 0.05 olarak hesaplanmıştır. Özellikler içinde laktasyon boyunca en geniş genetik korelasyon aralığı F - MD arasında saptanmış olup -0.34 ile 0.72 aralığında değişmiştir. DM-MD arasındaki genetik korelasyon eğrisinin şekli F-MD arasındaki genetik korelasyon eğrisi ile benzerlik göstermiş ve değerler -0.24 ile 0.61 aralığında saptanmıştır. laktasyon boyunca diğer özelliklere ilişkin genetik korelasyonlar MY-DM için 0.08 ile 0.65, MY-MD için -0.16 ile 0.28 ve MY-F için ise 0.04 ile 0.59 aralığında değişmiştir. Bu sonuçlar süt bileşenleri içinde yağ yüzdesindeki artışın süt akıcılığını azaltarak süt sağım hızını etkilediğini göstermektedir.

References

  • Boettcher, P.J., Dekkers J.C.M., Kolstad B.W., 1998. Development of an udder health index for sire selection based on somatic cell score, udder conformation, and milking speed. Journal of Dairy Science. 81:1157–1168.
  • Bohmanova, J., Miglior F., Jamrozik J., Misztal I., Sullivan, P.G., 2008. Comparison of Random Regression Models with Legendre Polynomials and Linear Splines for Production Traits and Somatic Cell Score of Canadian Holstein Cows. Journal of Dairy Science. 91:3627–3638.
  • Cobuci, J.A., Euclydes R.F., Lopes, P.S. Claudio, N.C., Robledo, A.T., Carmen S.P., 2005. Estimation of genetic parameters for test-day milk yield in Holstein cows using a random regression model. Genetics and Molecular Biology. 28: 75-83.
  • Duru, S., Kumlu, S., Tuncel, E., 2012. Estimation of variance components and genetic parameters for type traits and milk yield in Holstein cattle. Turk. J. Vet. Anim. Sci. 36(6): 585-591.
  • Ertuğrul, O, Orman M.N., Güneren G., 2002. Some genetic parameters of milk production in the Holstein breed. Turk. J. Ve.t Anim. Sci. 26: 463-469.
  • Galiç, A., Kumlu, S., 2012. Application of a random regression model to estimation of genetic parameters of test day milk yields of Turkish Holstein Firesians. Kafkas Univ Vet Fak Derg. 18 (5): 719-724.
  • Haile-Mariam, M., Bowman, P.J., Goddard, M.E., 2001. Genetic and environmental correlations between test day somatic cell count and milk yield traits. Livestock. Production Science 73: 1–13.
  • Hammami, H., Rekik, B., Soyeurt, H., Ben Gara A., Gengler, N., 2008. Genetic parameters for Tunisian Holstein Using a Test- Day Random Regression Model. Journal of Dairy Science. 91: 2118–2116.
  • Hossein-Zadeh, N.G., Ardalan, M., 2011. Estimation of genetic parameters for milk urea nitrogen and its relationship with milk constituents in Iranian Holsteins. Livestock Science. 135: 274–281.
  • Ilahi, H., Kadarmideen, H.N., 2004. Bayesian segregation analysis of milk flow in Swiss dairy cattle using Gibbs sampling. Genetics Selection Evolution. 36:563–576.
  • INTERBULL. International bull evaluation service [Internet]. c1997-2012. Sweden: permanent sub-committee of the International Committee for Animal Recording (ICAR); [cited 2007 Nov 30]. Available from: http://www interbull.slu.se/eval/aug07.html.
  • Karacaören, B., Jaffrézic, F., Kadarmideen, H.N., 2006. Genetic parameters for functional traits in dairy cattle from daily random regression models. Journal of Dairy Science. 89:791–798.
  • Kumlu, S., 2003. Hayvan Islahı 2. Basım [Animal Breeding 2th edition]. Ankara: Türkiye Damızlık Sığır Yetiştiricileri Merkez Birliği Yayınları.
  • Macciotta, N.P.P., Vicario, D., Cappio-Borlino, A., 2005. Detection of different shapes of lactation curve for milk yield in dairy cattle by empirical mathematical models. Journal of Dairy Science. 88:1178-1191.
  • Macciotta, N.P.P., Dimauro, C, Rassu, S.P.G., Steri, R., Pulina, G., 2011. The mathematical description of lactation curves in dairy cattle. Ital. Journal of Animal Science. 10: 51 213-223.
  • Meyer, K., 2007. Wombat: a tool for mixed model analyses in quantitative genetics by REML. [Internet]. Version 19-05-2012. Armidale: University of New England Australia. Available from : http://didgeridoo.une.edu.au/km/homepage.php.
  • Miglior, F., Sewalem, A., Jamrozik, J., Bohmanova, J., Lefebvre, D.M, Moore, R.K., 2007. Genetic analysis of milk urea nitrogen and lactose and their relationships with other production traits in Canadian Holstein cattle. Journal of Dairy Science. 90, 2468–2479.
  • Misztal, I., 2008. Reliable computing in estimation of variance components. Journal of Animal Breeding and Genetics. 125: 363-370.
  • Sharaby, M.A., Burnside, E.B, Hacker, R.R., 1977. Accuracy of an automated technique for determining individual milking rates under field conditions. Journal of Dairy Science. 60:133.
  • Silvestre, A.M., Petim-Batista, F., Colaco, J., 2005. Genetic parameter estimates of Portuguese dairy cows for milk, fat, and protein using a spline test-day model. Journal of Dairy Science. 88:1225-1230.
  • Stoop, W.M, Bovenhuis, H., van Arendok, J.A.M., 2007. Genetic parameters for milk urea nitrogen in relation to milk production traits. J. Dairy Sci. 90: 1981–1986.
  • Takma, Ç., Akbaş, Y., 2009. Variance components and genetic parameter estimates using random regression models on test day milk yields of Holstein Friesians. The Journal of the Faculty of Veterinary Medicine, University of Kafkas. 15 (4): 547-551.
  • Tilki, M., Saatcı., M., Çolak, M., 2008. Genetic parameters for direct and maternal effects and estimation of breeding values for birth weight in brown Swiss cattle. Turk. J. Vet. Anim. Sci. 32(4): 287-292.
  • Ünalan, A., Cebeci, Z., 2004. Estimation of genetic parameters and correlations for the first three lactation milk yields in Holstein Friesian cattle by the REML method. Turk. J. Vet. Anim. Sci. 28: 1043-1049.
  • Yazgan, K., Makulska, J., Węglarz, A., Ptak, E., Gierdziewicz, M., 2010. Genetic relationship between milk dry matter and other milk traits in extended lactations of Polish Holstein cows. Czech Journal of Animal Science, 55 (3), 91–104.
  • Zwald, N.R., Weigel K.A., Chang Y.M., Welper, R.D, Clay, J.S., 2005. Genetic evaluation of dairy sires for milking duration using electronically recorded milking times of their daughters. Journal of Dairy Science. 88:1192–1198.
There are 26 citations in total.

Details

Primary Language English
Journal Section Research Articles
Authors

Kemal Yazgan

Jale Metın Kıyıcı

Publication Date November 9, 2014
Submission Date November 9, 2014
Published in Issue Year 2014 Volume: 1 Issue: 3

Cite

APA Yazgan, K., & Metın Kıyıcı, J. (2014). Genetic Parameters Estimation for Some Functional Milk Traits of Brown Swiss Dairy Cattle. Türk Tarım Ve Doğa Bilimleri Dergisi, 1(3), 301-311.