Bignardi A. B., El Faro L., Cardoso V. L., Machado
P. F. and Albuquerque L. G. D. 2009. Random
regression models to estimate test-day milk yield
genetic parameters Holstein cows in Southeastern
Brazil. Livestock Production Science. 123: 1- 7.
Bignardi A. B., El Faro L., Torres Júnior R. A. A.,
Cardoso V. L., Machado P. F. and Albuquerque L.
G., 2011. Random regression models using different
functions to model test-day milk yield of Brazilian
Holstein cows. Genetics and Molecular Research, 10
(4): 3565- 3575.
Dadpasand Tarmsari M. 1999. Study of changes on
genetic trend for production traits in Iranian Holstein
cattle. MSc thesis. Agriculture faculty, Tehran
University. (In Farsi)
Elzo M. A., Jara A. and Barria N. 2004. Estimation
of genetic parameters for milk production traits in
Czech dairy cattle population. Journal of Dairy
Science, 87: 1506- 1518.
Gengler N., Tijani A., Wiggans G. R., Van Tassell
C. P. and Philpot J. C. 1999. Estimation of (co)
variances of test day yields for first lactation
Holsteins in the United States. Journal of Dairy
Science, 84:225.
Jamrozik J., Scheaffer L. R. 1997. Estimation 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.
Kettunen A., Mantysaari E. A. and poso J. 2000.
Estimation of genetic parameters for dairy milk
yields of primiparous Ayrshire cows by random
regression test-day models. Livestock Production
Science, 66: 251- 261.
Larimi S. and Nejati Javaremi A. 2002. Economic
comparison of increasing milk yield by genetic
improvement versus increasing number of breeding
cows. The 1th seminar on genetics and breeding
applied to livestock, poultry and aquatics. Faculty of
agriculture, Tehran University, Karaj, Iran. 20-21
Feb. 1: 60- 65 (In Farsi)
López-Romero P., and Carabaño M. J. 2003.
Comparing alternative random regression models to
analyse first lactation daily milk yield data in
Holstein Friesian cattle. Livestock Production
Science. 82: 81– 96.
Meyer, K. 1998. DFREML User Notes Version 3. 0.
Animal Genetics and Breeding Unit. University of
New England, Armidale, Australia.
Naeeimipour H. 2005. Study of genetic trend for
milk yield in khorasan Holstein cattle. MSc thesis,
Agriculture faculty, Zabol University. (In Farsi)
Nikmanesh A. 2010. Study of production and
reproduction traits of Holstein dairy herd in varamin.
Iranian Journal of Animal Scienceence Research,
Ferdowsi University of Mashhad, No:1, Vol:2, 81-
89. (In Farsi)
Olori V. E., Hill W. G., McGuirk B. J., 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. and Meuwissen T. H. E. 2000. Reduction
of the number of parameters needed for a
polynomial random regression test day model.
Livestock Production Science, 64: 133- 145.
Razmkabir M. 2005. Estimation of genetic trend on
production traits in Iranian Holstein cattle. MSc
thesis. Agriculture faculty, Tehran University. (In
Farsi)
Rekaya R., Carabaño M. J. and Toro M. A. 1999.
Use of test day yields for the genetic evaluation of
production traits in Holstein Friesian cattle.
Livestock Production Science, 57: 203– 217.
Saghi D. 2002. Adaptation of Holstein dairy cattle to
Iranian environmental condition. The 1
th seminar on
genetics and breeding applied to livestock, poultry
and aquatics. Faculty of agriculture, Tehran
University, Karaj, Iran. 20-21 Feb. 1: 24- 29 (In
Farsi)
Sahebhonar M. 2008. Estimation of genetic trend for
production traits and determining the impact of some
factors on it in Iranian Holstein Cattle. MSc thesis,
Agriculture faculty, Tehran University. (In Farsi)
Santellano-Estrada E., Becerril-Pérez C. M., de Alba
J., Chang Y. M., Gianola D., Torres-Hernández G.
and Ramírez-Valverde R. 2008. Inferring genetic
parameters of lactation in Tropical Milking Criollo
Cattle with random regression test- day models.
Journal of Dairy Science
, 91: 4393– 4400
SAS. 1990. user`s guide: Statistics, Version 6. 0.
Edition. . SAS Inst., Inc., Cary, NC.
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. 1998. Use of test day records for
genetic evaluation. Proc. 6
th World Congr. Genet.
Appl. Livestock Production Science, Armidale,
Australia, 23: 295- 302.
Veerkamp R. F. and Goddard M. E. 1998.
Covariance functions across herd production levels
for test day records on milk, fat and protein yields.
Journal of Dairy Science. 81: 1690- 1701.
Weller J. and Ezra I. 2004. Genetic analysis of the
Israel Holstein dairy cattle population for production
and nonproduction traits with a multi trait animal model. Journal of Dairy Science. 87: 1519- 1527
)