اردلان فر م.، حسنی س.، زره داران س. و صیاد نژاد م. ب. 1389. برآورد پارامترهای ژنتیکی برخی صفات اقتصادی در گاوهای شیری آمیخته ایران. مجله علوم دامی ایران، 41: 215-221.
تیموریان م.، اسلمینژاد ع. الف. و طهمورث پور م. 1390. برآورد پارامترهای ژنتیکی صفات تولیدی در گاوهای هلشتاین. نشریه پژوهشهای علوم دامی ایران، 3: 179-184.
سید دخت ع.، اسلمینژاد ع الف.، طهمورث پور م.، نعیمی پور ح.، مهدوی م. و ظابطیان حسینی م. 1391. برآورد روند ژنتیکی صفت تولید شیر 305 روز گاوهای هلشتاین ایران با استفاده از مدل روز آزمون با تابعیت تصادفی. تحقیقات تولیدات دامی، 1: 9-18.
صاحب هنر م.، مرادی شهربابک م.، میرائی آشتیانی س. ر. و صیادنژاد م. ب. 1389. برآورد روند ژنتیکی صفات تولیدی و تعیین برخی عوامل تاثیرگذار بر آن در گاوهای هلشتاین ایران. مجله علوم دامی ایران،41: 173-184.
مقدس زاده اهرابی س.، اسکندری نسب م. پ.، علیجانی ص. و عباسی م. ع. 1384. برآورد پارامترهای ژنتیکی صفات تولید شیر و چربی در گاوهای هلشتاین با استفاده از رکوردهای روز آزمون. مجله علوم کشاورزی و منابع طبیعی، 12: 7-16.
Abdullahpour R., Shahrbabak M. M., Nejati-Javaremi A. and Vaez Torshizi R. 2010.Genetic analysis of daily milk, fat percentage and protein percentage of Iranian first lactation Holstein cattle. World Applied Science Journal, 10:1042-1046.
Ali T. E. and Schaeffer L. R. 1987.Accounting for covariances among test day milk yields in dairy cows. Canadian Journal of Animal Science, 67: 637-644.
Carlén E., Strandberg E. and Roth A. 2004. Genetic parameters for clinical mastitis, somatic cell score, and production in the first three lactations of Swedish Holstein cows. Journal of Dairy Science, 87: 3062-3070.
De Roos A. P. W., Harbers A. G. F. and De Jong G. 2001.Random regression test-day model in the Netherlands. Interbull Bulletin, 27: 155-158.
Emanuelson U., Danell B. and Philipsson J. 1988. Genetic parameters for clinical mastitis, somatic cell counts, and milk production estimated by multiple-trait restricted maximum likelihood. Journal of Dairy Science, 71: 467-476.
Hammami H., Rekik B., Soyeurt H., Ben Gara A. and Gengler N. 2008.Genetic parameters for Tunisian Holsteins using a test-day random regression model. Journal of Dairy Science, 91: 2118-2126.
Heringstad B., Klemetsdal G. and Ruane J. 2000. Selection for mastitis resistance in dairy cattle: a review with focus on the situation in the Nordic countries. Livestock Production Science, 64: 95-106.
Hortet P., Beaudeau F., Seegers H. and Fourichon C. 1999. Reduction in milk yield associated with somatic cell counts up to 600000 cells/ml in French Holstein cows without clinical mastitis. Livestock Production Science, 61: 33-42.
Jakobsen J. H., Madsen P., Jensen J., Pedersen J., Christensen L. G. and Sorensen D. A. 2002. Genetic parameters for milk production and persistency for Danish Holsteins estimated in random regression models using REML. Journal of Dairy Science, 85: 1607-1616.
Jamrozik J. and Schaeffer L. 1997. Estimates of genetic parameters for a test day model with random regressions for yield traits of first lactation Holsteins. Journal of Dairy Science, 80: 762-770.
JamrozikJ., Schaeffer L. and Jansen G. 2000.Approximate accuracies of prediction from random regression models. Livestock Production Science, 66: 85-92.
Juozaitiene V.,and Juozaitis A. 2005. The influence of somatic cell count in milk on reproductive traits and production of Black-and-White cows. Veterinarski arhiv, 75: 407-414.
Juozaitiene V., Juozaitis A. and Micikeviciene R. 2006.Relationship between somatic cell count and milk production or morphological traits of udder in Black-and-white cows.Turkish Journal of Veterinary and Animal Sciences, 30: 47-51.
Khodaei Ashan S., Ozkan M., and Alijani S. 2011. Breeding value estimation for Iranian Holsteins through using random regression and test day records model. Scholar Research Library, 2: 408-416.
Kirkpatrick M., Lofsvold D. and Bulmer M. 1990.Analysis of the inheritance, selection and evolution of growth trajectories. Genetics, 124: 979-993.
Lidauer M. and Mäntysaari E. A. 1999. Multiple trait reduced rank random regression test-day model for production traits. Interbull Bulletin, 22: 74-80.
Misztal I., Tsuruta S., Strabel T., Auvray B., Druet T. and Lee D. 2002. BLUPF90 and related programs (BGF90). Proc. 7th World Congr.Genet.Appl. Livest.Prod., Montpellier, France.CD-ROM communication, 28:07.
Mrode R. and Swanson G. 2003.Estimation of genetic parameters for somatic cell count in the first three lactations using random regression. Livestock production science, 79: 239-247.
Němcová E., Štípková M., Zavadilová L., Bouška J. and Vacek M. 2007. The relationship between somatic cell count, milk production and six linearly scored type traits in Holstein cows. Czech Journal of Animal Science, 52: 437-446.
Olori V. E., Hill W. G., McGuirk B.J. and Brotherstone S. 1999. Estimating variance components for test day milk records by restricted maximum likelihood with a random regression animal model. Livestock Production Science, 61: 53-63.
Pool M. H., Janss L. L. G. and Meuwissen T. H. E. 2000.Genetic parameters of Legendre polynomials for first parity lactation curves. Journal of Dairy Science, 83: 2640-2649.
Pösö J., Mäntysaari E. A. and Kettunen A. 1996. Estimation of genetic parameters of test day production in Finnish Ayrshire cows. Interbull Bulletin, 14: 124-134.
Rajčević M., Potočnik K. and Levstek J. 2003.Correlations between somatic cells count and milk composition with regard to the season. Agriculturae Conspectus Scientificus, 68: 221-226.
Reents R., Jamrozik J., Schaeffer L. R. and Dekkers J. C. M. 1995. Estimation of genetic parameters for test day records of somatic cell score. Journal of Dairy Science, 78: 2847-2857.
SAS Institute Inc. 2003. SAS 9.1.3 Help and documentation, Cary, NC: SAS Institute Inc.
Schaeffer L. R. and Dekkers J. C. M. 1994.Random regression in animal models for test-day production in dairy cattle. Proc. 5th World Congress of Genetics Applied to Livestock Production. Guelph, Ontario, Canada 18: 443-446.
Shadparvar A. A. and Yazdanshenas M. S. 2005.Genetic parameters of milk yield and milk fat percentage test-day records of Iranian Holstein cows. Asian-Australian Journal of Animal Science,18: 1231-1236.
Strabel T., PtakE., Szyda J. and Jamrozik J. 2004. Multiple-lactation random regression test-day model for Polish Black and White cattle. Interbull Bulletin, 32: 133-136.
Swalve H.H. 1995. The effect of test day models on the estimation of genetic parameters and breeding values for dairy yield traits. Journal of Dairy Science, 78: 929-938.
Tijani A., Rgayai B., Hammami H., Gillon A. and Gengler N. 2010. Estimation of genetic parameters for test day milk yields of Moroccan Holstein cows using random regression test day model. Proceedings of the 9th World Congress on Genetics Applied to Livestock Production. German Society for Animal Science.
Van der Werf J. H. J., Goddard M. E. and Meyer K. 1998. The use of covariance functions and random regressions for genetic evaluation of milk production based on test day records. Journal of Dairy Science, 81: 3300-3308.
Weller J. I., Saran A. and Zeliger Y. 1992. Genetic and environmental relationships among somatic cell count, bacterial infection, and clinical mastitis. Journal of Dairy Science, 75: 2532-2540.
Wilmink J. B. M. 1987. Adjustment of test-day milk, fat and protein yield for age, season and stage of lactation. Livestock Production Science, 16: 335-348.
Zavadilová L., Wolf J., Štípková M., Němcová E. and Jamrozik J. 2011. Genetic parameters for somatic cell score in the first three lactations of Czech Holstein and Fleckvieh breeds using a random regression model. Czech Journal of Animal Science, 56: 251-260.