Allahyarzadeh H., Farhangfar H. Naeemipour, H. and
Shojaeian K. 2010. Estimation of genetic
parameters for fat production trait of Holstein
using test day model. Journal of Pajouhesh and
Sazandegi. 89: 41-49. (In Farsi)
Aquino A. A., Lima Y. V. R., Botaro B. G., Alberto C.
S. S., Peixoto Jr. K. C. and Santos M. V. 2008.
Effects of dietary urea levels on milk protein
fractions of Holstein cows. Animal Feed Science
and Technology. 140: 191-198.
Boligon A. A., Mercadante M. E. Z., Forni S., Lobo R.
B. and Albuquerque L. G. 2010. Covariance
functions for body weight from birth to maturity in
Nellore cows. Journal of Animal Science. 88: 849-
859.
De Peters E. J. and Cant J. P. 1992. Nutritional factors
influencing the nitrogen composition of Bovine
milk: A Review. Journal of Dairy Science. 75:
2043- 2070.
De Roos A. P. W., Harbers A. G. F. and De Jong G.
2004. Random herd curves in a test-day model for
milk, fat, and protein production of dairy cattle in
the Netherlands. Journal of Dairy Science. 87:
2693– 2701.
Druet T., Jaffrezic F., Boichard D. and Ducrocq V.
2003. Modeling lactation curves and estimation of
genetic parameters for first lactation test-day
records of French Holstein cows. Journal of Dairy
Science. 86: 2480– 2490.
Farhangfar H. and Rezaei H. 2004. Estimation of
Genetic Parameters for Monthly Test day Milk
Production in Iranian Holstein Cattle Using
Covariance Function. In: proceedings of the 1
st
congress on animal & aquatic science. 31 Aug- 2
Sep. Faculties of agricultural & natural resources,
the university of Tehran, pp. 675- 678. (In Farsi)
Geldermann H., Pieper U. and Weber W. E. 1986.
Effect of misidentification on the estimation of the
breeding value and heritability in cattle. Journal of
Animal Science. 63: 1759- 1768.
Gengler N., Wiggans G. R. and Gillon A. 2005.
Adjustment for heterogeneous covariance due to
herd milk yield by transformation of test-day
random regressions. Journal of Dairy Science. 88:
2981– 2990.
Guzzo N., Sartori C. and Mantovani R. 2009. Test day
milk yields variance component estimation using
repeatability or random regression models in the
Rendena breed. Italian Journal of Animal Science.
8:71- 73.
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.
Honarvar M., Mehri M. and Tajdari P. 2008.
Biostatistics for animal science (pp. 51-84). ATA
Press. (In Farsi)
Interbull. National publication policies. September 2,
2010. From http://www-interbull. slu.
se/national_ges_info2/framesida-ges. htm.
Jensen J. 2001. Genetic evaluation of dairy cattle using
test-day models. Journal of Dairy Science. 84:
2803- 2812.
Kirkpatrick M., Lofsvold D. and Bulmer M. 1990.
Analysis of the inheritance, selection and
evolution of growth trajectories. Genetics. 124:
979-993.
Lidauer M., Mantysaari E. A. and StrandenI . 2003.
Comparison of test-day models for genetic
evaluation of production traits in dairy cattle.
Livestock Production Science. 79: 73- 86.
Liu Z., Jamrozik J. and Jansen G. 1998. A comparison
of fixed and random regression models applied to
dairy test-day production data. In: INTERBULL
Open Meeting, Rotorua, 18-19 January/Bull. 17th
Int. Bull Eval. Serv., Uppsala, pp. 60- 63.
Meyer K. 2000. DFREML: Program to estimate
variance component by restricted maximum
likelihood, using a derivative- free algorithm. User
notes, Ver. 3.1.
Misztal I., StrabelT., JamrozikJ., MantysaariE. A. and
MeuwissenT. H. E. 2000. Strategies for estimating
parameters needed for different test-day models.
Journal of Dairy Science. 83: 1125- 1134.
Mostert B. E., Groeneveld E. and Kanfer F. H. J. 2004.
Test day models for production traits in dairy
cattle. South African Journal of Animal Science.
34
: 35- 37.
Naserkheil M., Miraie-Ashtiani R. and Nejati-
Javaremi A . 2010. Estimation of genetic parameters for milk proteinyields using random
regression model in Iranian Holstein cattle, In
Proceedings of the 4
th Iranian Congress on Animal
Science. 20-21 Sep. University College of
Agricultural & Natural Resources, The University
of Tehran, pp. 2922-2925. (In Farsi)
Pool M. H. and Meuwissen T. H. E. 2001. Effects of
random regression test-day models on EBVs and
genetic trends in persistency. In: INTERBULL
Open Meeting, Budapest, 30-31 August/Bull. 27
th
Int. Bull Eval. Serv., Uppsala, pp. 184- 188.
Pool M. H., Janss L. L. G. and T. H. E. Meuwissen.
2000. Genetic parameters of Legendre
polynomials for first-parity lactation curves.
Journal of Dairy Science. 83: 2640– 2649.
Ptak E. and Schaeffer L. R. 1993. Use of test-day
yields for genetic evaluation of dairy sires and
cows. Livestock Production Science. 34: 23- 34.
Rafeie F., Imam Jomeh N. and Nane Karani S. H .
2007. Linear models for the prediction of animal
breeding values (2
nd ed. ). Haghshenass. (In Farsi)
Razmkabir M., Moradi-Shahrbabak M., Pakdel A. and
Nejati-Javaremi A. 2010. Estimation of variance
components for production traits in Holstein cattle
of Iran. In Proceedings of the 4
th Iranian Congress
on Animal Science. 20-21 Sep. University College
of Agricultural Resources, Karaj, pp. 2756- 2759.
(In Farsi)
Razmkabir M., Moradi-Shahrbabak M., Pakdel A. and
Nejati-Javaremi A. 2011. Estimation of genetic
parameters for milk production test day records in
Iranian Holstein. Iranian Journal of Animal
Sciences. 42: 171- 178. (In Farsi).
Reents R., Dopp L., Schmutz M. and Reinhardt F.
1998. Impact of application of a test- day model to
dairy production traits on genetic evaluations of
cows. In: INTERBULL Open Meeting, Rotorua,
18- 19 January/Bull. 17th Int. Bull Evaluation
Service, Uppsala. 49- 54.
Samoré A. B., Groen A. F., Boettcher P. J., Jamrozik
J., Canavesi F. and Bagnato A. 2008. Genetic
correlation patterns between somatic cell score
and protein yield in the Italian Holstein-Friesian
population. Journal of Dairy Science. 91: 4013–
4021
Schaeffer L. R., Jamrozik J., Kistemaker G. J. and Van
Doormaal B. J. 2000. Experience with a testdaymodel.
Journal of Dairy Science. 83: 1135-
1144.
Strabel T. and Jamrozik J. 2006. Genetic analysis of
production traits of Polish black and white cattle
using large-scale random regression test-day
models. Journal of Dairy Science. 89: 3152– 3163.
Strabel T., Szyda J., Ptak E. and Jamrozik J. 2005.
Comparison of random regression test-day models
for Polish black and white cattle. Journal of Dairy
Science. 88: 3688– 3699.
Swalve H. H. 1995. Test-day models in the analysis of
dairy production data– a review. Arch. Tierz. 38:
591- 612.
Swalve H. H. 1998. Use of test-day records in genetic
evaluation. In: Proceeding 6th World Congress on
Genetics Applied to Livestock Production.
Armidale, New South Wales, Australia. 23: 295-
302.
Swalve H. H. 2000. Symposium: Test-Day Models.
Theoretical basis and computational methods for
different test-day genetic evaluation methods.
Journal of Dairy Science. 83: 1115- 1124.
Van Vleck L. D. 1970. Misidentification in estimating
the paternal sib correlation. Journal of Dairy Science. 53: 1469-1474.
)