[Amaya, A., Martinez, R., Ceron-Munoz, 2019. Genetic paramaters milk production in Simmental cattle using genomic and polygenic models. Rev. Med. Vet Zoot., 66, 2, 131-140.10.15446/rfmvz.v66n2.82431]Search in Google Scholar
[Bolacali, M., Ozturk, Y., 2018. Effect of non-genetic factors on milk yields traits in Simmental cows raised subtropical climate condition. Arq. Bras. Med. Vet. Zootechn, 70, 1, 297-30510.1590/1678-4162-9325]Search in Google Scholar
[Bonfatti, V., Martino, G.Di, Cecchinato, A., Vicario, D., Carnier, P., 2010. Effects of β-k-casein (CSN2-CSN3) haplotypes and β lactoglobulin (BLG) genotypes on milk production traits and detailed protein composition of individual milk of Simmental cows. Journal of Dairy Science, 93, 8, 3797-3808.10.3168/jds.2009-2778]Search in Google Scholar
[Cho, C.I., Alam, M., Choi, T.J., Choy, Y.H., Choi, J.G., Lee, S.S., Cho, K.H., 2016. Models for estimating genetic parameters of milk production traits using random regression models in Korean Holstein cattle. Asian Australas. J. Anim. Sci., 29, 5, 607-614.10.5713/ajas.15.0308]Search in Google Scholar
[Cilek, S., Orhan H., Kaygisiz, A., Hesna Sahin, E., 2008. Estimation of breeding values of Anatolian population of Simmental cows using monthly test-day milk yields. Archiva Zootechnica, 11, 4, 79-85.]Search in Google Scholar
[Emmerling, R., Lidauer, M., Mäntysaari, E.A., 2002. Multiple lactation random regression test-day model for Simmental and Brown Swiss in Germany and Austria. Interbull Bulletin, 29, 111-117.]Search in Google Scholar
[Gantner, V., Jovanovac, S., Klopcčič, M., Cassandro, M., Roguž, N., Kutervac, K., 2009. Methods for estimation of daily and lactation milk yields from alternative milk recording scheme in Holstein and Simmental cattle breeds. Ital. J. Anim. Sci., 8, 519-530.10.4081/ijas.2009.519]Search in Google Scholar
[Grosu, H., Rotar M.C., 2015. Estimation of breeding values in cattle with test-day models. Ceres, Bucuresti.]Search in Google Scholar
[Grosu, H., Schaeffer, L., Oltenacu, P.A., Norman, D., Powell, R., Kremer, V., Banos, G., Mrode, R., Carvalheira, J., Jamrozik, J., Draganescu, C., Lungu, S., 2013. History of genetic evaluation methods in dairy cattle. The Publishing House of the Romanian Academy, Bucharest.]Search in Google Scholar
[Grosu, H., Lungu, S., Oltenacu, P.A., Drăgănescu, C., Mateescu, R., 2019. The prediction of breeding values of cattle. The Publishing Ceres, Bucharest.]Search in Google Scholar
[Guo, Z., Swalve H.H., 1997. Comparison of different lactation curve sub-models in test day models. Interbul Mtg Vienna, International Bull Evaluations Service, Uppsala, Sweden. Interbull Bull, 16, 75-79.]Search in Google Scholar
[Jamrozik, J., Jansen G., Schaeffer L.R., Liu Z., 1998. Analysis of persistency of lactation calculated from a random regression test day model. Proc. Interbull Mtg Rotorua, International Bull Evaluations Service, Uppsala, Sweden, Interbull Bull, 17, 64-69.]Search in Google Scholar
[Kaps, M., Spehar, M, 2004. Estimation of genetic parameters and breeding values of milk traits for Simmental cattle in Croatia using a lactation animal model. Agric. Conspectus Scientificus, 69, 91-94.]Search in Google Scholar
[Kheirabadi, K., Razmkabir, M., 2016. Genetic parameters for daily milk somatic cell score and relationship with yield traits of primiparous Holstein cattle in Iran. Journal of Animal Science and Technology, 58, 38.10.1186/s40781-016-0121-5]Search in Google Scholar
[Kirkpatrick, M., Lofsvold D., Bulmer M., 1990. Analysis of inheritance, selection and evolution of growth trajectories, Genetics, 124, 979-993.10.1093/genetics/124.4.979]Search in Google Scholar
[Lidauer, M.H., Emmerling, R., Mantysaari, E.A., 2008. Multiplicative random regression model for heterogeneous variance adjustment in genetic evaluation for milk yield in Simmental. J. Anim. Breed. Genet, 125, 147-159.10.1111/j.1439-0388.2008.00728.x]Search in Google Scholar
[Macciotta, N.P.P., Vicario D., Pulina G., Cappio-Borlino A., 2002. Test day and lactation yield predictions in Italian Simmental cows by ARMA methods. Journal Dairy Science 85, 3107-3114.10.3168/jds.S0022-0302(02)74398-1]Search in Google Scholar
[Mostert, B.E., 2007. The suitability of test-day models for genetic evaluation of dairy cattle in South Africa. PhD thesis, University of Pretoria, South Africa.]Search in Google Scholar
[Nistor, E., Bampidis, V.A., Pentea, M., Matiuți, M., Ciolac, V., Adebambo, F., 2011. Genetic and phenotypic parameters for milk production traits in the first and second lactation in Romanian Simmental dairy cows. Iranian Journal of Applied Animal Science, 1(4), 257-263.]Search in Google Scholar
[Pandey, M., Rajak, N., 2020. Random regression model as a tool for genetic evaluation of test day milk yields in animal breeding: A review. PantnagarJournal of Research, 18,1, 103-111.]Search in Google Scholar
[Perisic, P., Shalicki, Z., Petrovic, M.M., Bogdanovic, V., Ruzic-Muslic, D., 2009. Simmental cattle breed in different production systems. Biotechnology in Animal Husbandry, 25, 5-6, 315-326.10.2298/BAH0906315P]Search in Google Scholar
[Petrovic, M.M., Sretenovic Lj., Aleksic, S., Pantelic, V., Novakovic, Z., Perisic, P., Petrovic, M.D., 2009. Investigation of the heritability of phenotypes of ferility and milk performance of Simmental cattle breed in Serbia. Biotechnology in Animal Husbandry, 25, 5-6, 285-292.10.2298/BAH0906285P]Search in Google Scholar
[Ptak, E., Schaeffer, L. R., 1993. Use of test day yields for genetic evaluation of dairy cattle. Livestock Production Science, 34-23.10.1016/0301-6226(93)90033-E]Search in Google Scholar
[Rotar, M.C., Grosu, H., Gras, M.A., Pelmuș, R.S., Lazăr, C., 2016. Comparative research on breeding value prediction for milk yield in cattle. Agriculture and Agricultural Science Procedia,10, 311-317.10.1016/j.aaspro.2016.09.068]Search in Google Scholar
[Rotar, M.C., Grosu, H., Gras, M.A., Pelmuș, R.S., Lazăr, C, Popa F., 2020. Animal model versus polynomial Legendre test-day in dairy cattle. Archiva Zootechnica, 23, 1, 5-12.10.2478/azibna-2020-0001]Search in Google Scholar
[Schaeffer, L.R. 2004. Applicaion of random regression models in animal breeding. Livestock Production Science, 86, 35-45.10.1016/S0301-6226(03)00151-9]Search in Google Scholar
[Yang, R.Q., Ren, H.Y., Schaeffer, L.R., Xu, S.Z., 2005. Estimation of genetic parameters for lactational milk yields using two-dimensional random regressions on parities and days in milk in Chinese Simmental cattle. J. Anim Breed Genet, 1, 49-55.10.1111/j.1439-0388.2004.00480.x]Search in Google Scholar
[Swalve, H.H., 2000. Theoretical basis and computational methods for different test-day genetic evaluation methods. Journal of Dairy Science 83, 1115-1124.10.3168/jds.S0022-0302(00)74977-0]Search in Google Scholar
[Wiggans, G.R., Goddard, M.E., 1997. A computationally feasible test day model for genetic evaluation of yield trait in the United States. Journal of Dairy Science, 80, 1795-1800.10.3168/jds.S0022-0302(97)76113-7]Search in Google Scholar
[Zavadilova, L., Nemcova, E., Pribyl, J., Wolf, J., 2005. Definition of sub-groups for fixed regressin in test-day animal model for milk production of Holstein cattle in the Czech Republic. Czech Journal of Animal Science, 50, 1, 7-13.10.17221/3976-CJAS]Search in Google Scholar
