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برآورد فراسنجه‌‌ها و روند ژنتیکی صفت امتیاز یاخته‌های بدنی با استفاده از رکورد‌های روز ‌آزمون گاو‌های هلشتاین ایران

نوع مقاله: مقاله پژوهشی

نویسندگان

1 دانشجوی کارشناسی ارشد، دانشکدة کشاورزی دانشگاه زنجان

2 دانشیار و استادیار، دانشکدة کشاورزی دانشگاه زنجان

3 استادیار، دانشکدة کشاورزی دانشگاه زنجان

4 استادیار، دانشکدة کشاورزی و منابع طبیعی دانشگاه اراک

چکیده

هدف از این تحقیق برآورد فراسنجه‌ها و روند ژنتیکی صفت امتیاز یاخته­های بدنیبا استفاده از رکوردهای روز آزمون تولید شیر گاوهای هلشتاین ایران بود. داده­های مورداستفاده شامل 407167 رکورد روز آزمون بین سال­های 1388 تا 1392 مربوط به دورة شیردهی اول بود که توسط مرکز اصلاح نژاد و بهبود تولیدات دامی کشور گرد­آوری شده بود. شمار یاخته­های بدنی2 با تبدیل لگاریتمی به امتیاز یاخته­های بدنی تبدیل شد. برآورد فراسنجه‌های ژنتیکی با استفاده از مدل تابعیت (رگرسیون) تصادفی با روش آماری بیزی مبتنی بر نمونه­گیری گیبس انجام شد. روند مشاهده‌شده برای واریانس ژنتیکی افزایشی و محیطی دائمی همسان و در اوایل دورة شیردهی بالاتر از دیگر روزهای شیردهی برآورد شد. وراثت­پذیری امتیاز یاخته­های بدنی برای دورة شیردهی اول 023/0 تا 065/0 برآورد شد. تکرارپذیری در آغاز و پایان دورة شیردهی بیشترین میزان نسبت را داشت. همبستگی ژنتیکی افزایشی بین روزهای 5 و 305 دورة شیردهی برآورد شد. روند ژنتیکی امتیاز یاخته­های بدنی در سال­های مختلف تغییر به نسبت زیادی داشت و تغییرپذیری ژنتیکی امتیاز یاخته­های بدنی از روند مشخصی پیروی نمی­کند.

کلیدواژه‌ها


عنوان مقاله [English]

Estimation of genetic parameters and trend of somatic cell score trait using test day records in Iranian Holstein cows

نویسندگان [English]

  • Somaye Panje Shiri 1
  • Moradpasha Eskandari Nasab 2
  • Mohammadbagher Zandi 3
  • Mohammad Hossein Moradi 4
1 M. Sc. Student, Department of Animal Science, Faculty of Agriculture, University of Zanjan, Iran
2 Associate Professor, Department of Animal Science, Faculty of Agriculture, University of Zanjan, Iran
3 Assistant Professor, Department of Animal Science, Faculty of Agriculture, University of Zanjan, Iran
4 Assistant Professor , Department of Animal Science, Faculty of Agriculture and Natural Science, Arak University, Iran
چکیده [English]

The objective of this research was to estimate the genetic parameters and trend of somatic cell count in Holstein cows of Iran using test day records. The phenotypic the used data consisted of were consisting of 407167 first lactation test day records the which were collected by the center of Animal Breeding and Livestock Production Improvement center of Iran during 2009 to 2013. Somatic cell count was transformed to Somatic cell score using logarithm transformation method. The genetic parameters were estimated using random regression models with Bayesian statistical method based on Gibbs sampling. The results revealed that the observed trend for additive genetic variance and permanent environmental were similar high in early lactation compared to other days. The heritability was estimated between 0.023-0.065 for somatic cell score. Repeatability showed highest changes at the start and the end of lactation. Additive genetic correlations were estimated for days 5 and 305. The result showed high variation in genetic trend of somatic cell score in different years, without an specific trend.

کلیدواژه‌ها [English]

  • Gibbs sampling
  • random regression model
  • somatic cell score
  • teest day recordes
  1. Abdullahpour, R., Moradi Shahrbabak, M., Nejati-Javaremi, A. & Vaez Torshizi, R. (2010). Genetic analysis of daily milk, fat percentage and protein percentage of Iranian first lactation Holstein cattle. World Applied Science, 10, 1040-1046.
  2. Abedini, A., Farhangfar, H., Shojaian, K., Naeemipour, H., Bashtani M. & Nazari, B. (2011). Estimation of genetic parameters and trend for Somaric cell Score trait in Iranian Holsteins using a Random Regression test Day model. Iranian Journal of Animal. Science, 2, 193-200. (in Farsi)
  3. Ali, A. K. A. & Shock, G. E. (1980). An Optimum transformation for somatic cell concentration in milk. Journal of Dairy Science, 63, 487-490.
  4. Arvaq, H., Aslami nejad, A. & Rokoei, M. (2011). The trend of phenotypic, genetic of somatic cell scores a and environmental factors effect of its. Research of Journal Animal Science, 4, 459-464. (in Farsi)
  5. Atasever, S. & Erdema, H. (2013). Relationships between Somatic cell count and udder Type Scores in Holstein cows. Journal of Agriculture & Biology, 15, 153-156.
  6. Bakhtiarzadeh, M., Moradi Shahre Babak, M. & Moghimi, A. (2009). Estimate genetic parameters Brigade, milk production and open day's traits in Holstein cows of Iran. Journal of Animal Science Iran, 40, 13-19.
  7. Boettcher, P., Dekkers, J. C. M. & Klostad, B. W. (1998). Development of an udder health index for sire selection based on Somatic cell count, udder conformation, and milking speed. Journal of Dairy Science, 81, 1157-1168
  8. Chen, L., Liu, x., Li, Zh., Wang, H., Liu, Y., He,H., Yang, J., Niu, F., Wang, L. & Guo, J. (2014). Expression difference of miRNAs and genes on NF-KB pathway between the healthy and the mastitis Chinese Holstein Cows. Gene, 545, 117-125.
  9. Cheraqi, S., Kheirabadi K., Alijani, S., Moghadam, Gh. & Rafat, A. (2011). Estimation of genetic parameters for somatic cell counts of Holstein cows, the Fifth Congress of Animal Science of Iran, University of Esfahan. (in Farsi)
  10. Haile-Mariam, M., Goddard, M. E. & Bowmant, P. J. (1990). Estimation of Genetic Parameters for daily somatic cell count of Australian Dairy cattle. Journal of Dairy Science, 84, 1255-1264
  11. Hammami, H., Rekik, B., Soyeurt, H., Bastin, C. & Gengler, N.  (2008). Genotype × environment interaction for milk yield in Holsteins using Luxembourg and Tunisian populations. Journal of Dairy Science, ­91, 3661-3671.
  12. Hinrichs, D., Stamer, E., Junge, W. & Kalm, E. (2005). Genetic analyses of mastitis data using animal threshold models and genetic correlation with production traits. Journal of Dairy Science, 88, 2260-226.
  13. Ivkiv, Z., Spehar, M., Balic, V., Mijic, P., Ivankovic, A. & Solic, D. (2012). Estimation of genetic parameters and environmental effects on somatic cell count in Simmental and Holstein breeds. Mljekarstvo, 62, 143-150.
  14. Jakobsen, J.H., Madsen, P., Jansen, J., Pedersen J., Christensen, L.G. & Sorensen, D.A. (2002). GeneticParameters for Milk Production and Persistency for Danish Holsteins Estimated in Random Regression Models using REML. Journal of Dairy Science, 85, 1607-1616.
  15. Jamali Emam Qeis, N., Sadeghi sefid mazgi, A. & Moeini, M.M. (2013). Astudy of Somatic Cell Count in milk in industrial and traditional farms of Tehran province. Journal of Animal Production, 15, 21-29. (in Farsi)
  16. Jamrozik, J., Schaeffer, L. R. & Dekkers, J.C.M. (1997). Genetic evaluation of dairy cattle using test day yields and random regression model. Journal of Dairy Science, 80, 1217-1226.
  17. Jansen, J. (2001). Genetic evaluation of dairy cattle using testday model. Journal of Dairy Science, 84, 2803-2812.
  18. Jimenez-Granado, R., Sanchez-Rodriguez, M., Arce, C., Rodriguez-Estevez, V. (2014). Factors affecting somatic cell count in dairy goats: a review. Spanish Journal of Agricultural Research, 12, 130-150.
  19. Kheirabadi, K. & Alijani, S. (2014). Estimation of genetic parameters and genetic Trends of somatic cell score in Iranian Holstein Cows Using Test Day Records. Iranian Journal of Applied Animal Science, 4, 707-716. (in Farsi)
  20. Koeck, A., Miglior, F., Kelton, D.F. & Schenke, F.S. (2005).  Multiple-trait model for mastitis resistance in Canadian Holsteins Apreliminary investigation. University of Gulf, from http://cgil.uoguelph.ca/
  21. Liu, Z., Reinhardt, F., Biinger, A., Jaitner, J. & Reents, R. (2014). Genetic evaluation of somatic cell scores using a random regression test day model for a very large dairy cattle population. VIT, Heidewey1, D-27283, Verden, Germany.
  22. Moqadaszadeh ahrabi, S. (2003). Study the genetic potential of a herd of Holstein cattle using test day records and random regression models. MS Thesis, University of Zanjan. (in Farsi)
  23. Odegard, J., Klemetsdal, G. & Heringstad, B. (2002). Variance components and genetic trend for somatic cell count in Norwegian cattle. Livest Production Science, 79, 135-144.
  24. Patil, M.P., Nagvekar, A.S., Ingole, S.D., Bharucha, S.V. & Palve, V.T. (2015). Somatic cell count and alkaline phosphatase activity in milk for evaluation of mastitis in buffalo. Available at www.veterinaryworld.org/Vol.8/March-2015/18.pdf
  25. Paykani, M. (2005). Estimation of genetic parameters of somatic cell milk in Tehran Holstein Cows. MS Thesis, Faculty of Agriculture, University of Zanjan. (in Farsi)
  26. Reents, R., Jamrozik, J., Schaeffer, L.R. & Dekkers, J.C.M. (1995). Estimation of genetic parameters for test day records of somatic cell score. Jornal of Dairy Science, 78, 2847-2857
  27. Rogers, G. W., Hargrove, G. L., Lawler, JR. & Ebersole, J. L. (1991). Correlations among linear type traits and somatic cellcounts. Journal of Dairy Science, 74, 1087-1091.
  28. Rupp, R. & Boichard, D. (1999). Genetic Parameters for Clinical mastitis, somatic cell score, production, udder type traits, and milking Ease in First Lactation Holsteins. Journal of Dairy Science, 82, 2198-2204.
  29. Shook, G.E. & Schutz, M.M. (1994). Selection on somatic cell score to improve resistance to mastitis in the United States. Journal of Dairy Science, 77, 648-658.
  30. Strable, T., Szyda, J., Ptack, E. & Jamrozik, J. (2005). Comparison of random regression test-day models for polish black and white cattle. Journal of Dairy Science, 88, 3688-3699.
  31. Taghi zade, A., Hasani, S., Farhang far, H., Azari, M., Samadi, F. & Esfand Abadi, A. (2011). Genetic analysis of the somatic cell in milk using Test Day records with random regression model of Holstein cows Iran. First Congress of Agricultural Sciences and new technologies in university of Zanjan. (in Farsi)
  32. Wood, P.D.P. (1967). Algebraic model of the lactation curve in cattle. Nature, London. 216, 164-165.
  33. Zhang, W. C., Dekkers, J.C.M., Banos, G. & Burnside, E. B. (1993). Adjustment factor and genetic evaluation for somatic cell score and relationships with other traits in Canadian Holsteins. Journal of Dairy Science, 77, 659-665.