Estimation of the Genetic Parameters for Test-Day Milk Yield in Holstein Cattle

Authors

  • Stefania Rodica Pelmus National Research-Development Institute for Animal Biology and Nutrition, 077015-Balotesti, Calea Bucuresti, 1, Romania
  • Horia Grosu National Research-Development Institute for Animal Biology and Nutrition, 077015-Balotesti, Calea Bucuresti, 1, Romania
  • Mircea Catalin Rotar National Research-Development Institute for Animal Biology and Nutrition, 077015-Balotesti, Calea Bucuresti, 1, Romania
  • Mihail Alexandru Gras National Research-Development Institute for Animal Biology and Nutrition, 077015-Balotesti, Calea Bucuresti, 1, Romania
  • Elena Ghita National Research-Development Institute for Animal Biology and Nutrition, 077015-Balotesti, Calea Bucuresti, 1, Romania
  • Cristina Lazar National Research-Development Institute for Animal Biology and Nutrition, 077015-Balotesti, Calea Bucuresti, 1, Romania

Keywords:

breeding value, random regression test-day model, test day milk yield

Abstract

The objective of this study was to determine the genetic parameters represented by heritability for test-day milk yield, the genetic correlations between test-days milk yield and the breeding value for Holstein cows. The model used was random regression test-day animal model. The data set consists of 216 test day records from 30 cows. The average number of test day per lactation was seven. The heritability estimates for test-day milk yield ranged from 0.43 at 250th day in milk, to 0.60 at 10th day in milk. Genetic correlations between individual test days milk yield were high and positive.

References

Grosu, H., Schaeffer L., Oltenacu P. A., Norman D., Powell R., Kremer V., Banos G., Mrode R., Carvalheira J., Jamrozik J., Draganescu C., and Lungu S., History of genetic evaluation methods in dairy cattle, The Publishing House of the Romanian Academy, Bucharest, 2013.

Grosu, H. and Rotar M. C., Estimarea valorii de ameliorare la taurine, pe baza modelelor zilei de control (test day models), Ceres, Bucuresti, 2015.

Schaeffer, L. R., Jamrozik L. R., Kistemaker G. J., Van Doormal, B. J., Experience with a test-day model, J. Dairy Sci., 2000, 83, 1135-1144.

Melo, C. M. R., Packer I. U., Costa C. N., Machado P.F., Genetic parameters for test day milk yields of first lactation Holstein cows by random regression models, Animal, 2007, 1, 325-334.

Herrera, A. C., Munera O. D, Ceron –Munoz M. F., Variance components and genetic parameters for milk production of Holstein cattle in Antioquia (Colombia) using random regression models, Rev. Colomb. Cienc Pecu, 2013, 26, 90-97.

Gharahveysi, S., Irani M., Abdullahpour R., Kalashi Z., Use the random regression model for the genetic parameters estimation of milk yield in Holstein cows herd, European Journal of Experimental Biology, 2012, 2(6) 2107-2112.

Laureano, M. M. M., Bignardi A. B., Faro L. El., Cardoso V. L., Tonhati H., Albuquerque L. G., Random regression models using different functions to model milk flow in dairy cows, Genetic and Molecular Research, 2014, 13(3), 7528-7541.

Tullo, E., Biffani S., Malteca C., Rizzi R., Genetic parameters for milk yield persistency in Carora dairy cattle breed using random regression model, Ital. J. Anim. Sci., 2014, 13, 4, 3484.

Cho, C. I., Alam M., Choi T. J., Choy Y. H., Choi J. G., Lee S. S., Cho K.H., Models for estimating genetic parameters of milk production traits using random regression models in Korean Holstein cattle, Asian Australas. J. Anim. Sci., 2016, 29(5), 607-614.

Gebreyohannes ,G., Koonawootrittriron S., Elzo M., Suwanasopee T., Estimation of genetic parameters using a random regression monthly test-day model in a Ethiopian dairy cattle population, Agriculture and Natural Resources, 2016, 50, 64-70.

Cayo, A. W. C., Lopes P. S., Barbosa da Silva M.V.G., Torres R.A., Martins M. F., Cobuci J. A., Genetic parameters for milk yield and lactation persistency using random regression models in Girolondo cattle, Asian Australas J. Anim. Sci., 2015, 28, 10, 1407-1418.

Kheirabadi, K., Alijani S., Zavadilova L., Rafat S.A., Moghaddam G., Estimation of genetic parameters for daily milk yields of promiparous Iranian Holstein cows, Archiv. Tierzucht ., 2013, 56, 44, 455-466

Kirkpatrick, M., Lofsvold D., Bulmer M., Analysis of inheritance, selection and evolution of growth trajectories, Genetics, 1990, 124, 979-993

Bohmanova, J., Miglior F., Jamrozik J., Misztal I., and Sullivan P. G., Comparison of random regression models with Legendre polynomials and linear splines for production traits and somatic cell score of Canadian Holstein cows, J. Dairy Sci., 2008, 91, 3627-3638.

Peixoto, M. G. C. D., Santes D. J. A., Borquis R. R. A., Bruneli F. A. T., Paneto J. C. C., Tonhati H., Random regression models to estimate genetic parameters for milk production of Guzerat cows using orthogonal Legendre polynomials, Pesq. Agropec. Bras., Brasilia, 2014, 49(5), 373-383.

De Ross, A. P.W., Harbes A.G.F., De Jong G., Random herd curves in a test –day model for milk, fat and protein production of dairy cattle in Netherlands. J. Dairy Sci., 2004, 87, 2693-2701.

Zaabza, H. B., Gara A. B., Hammami H., Ferchichi M.A., Rekik B., Estimation of variance components of milk, fat and protein yields of Tunisian Holstein dairy cattle using Bayesian and REML methods, Arch. Anim. Breed, 2016, 59, 243-248.

Kheirabadi, K., Razmkabir M., 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, 2016, 58, 38.

Yazgan, K., Kiyici J. M., Genetic parameters estimation for some functional milk traits of Brown Swiss dairy cattle, Turkish Journal of Agricultural and Natural Sciences, 2014, 1(3) 301-311.

Hammami, H., Rekik B., Soyeurt H., Ben Gara A., Gengler N., Genetic parameters for Tunisian Holsteins using a test-day random regression model, J. Dairy Sci., 2008, 91(5), 2118-2126.

Takma, C., Akbas Y., Estimates of genetic parameters for test day milk yield of a Holstein Friesien herd in Turkey with a random regression models, Arch. Tierz., Dummerstorf, 2007, 50(4) 327-336.

Downloads

Published

2023-09-12