International Journal of
Livestock Production

  • Abbreviation: Int. J. Livest. Prod.
  • Language: English
  • ISSN: 2141-2448
  • DOI: 10.5897/IJLP
  • Start Year: 2009
  • Published Articles: 222

Full Length Research Paper

Genetic evaluation of dairy cattle based on morning and afternoon milking test day records with fixed regression model

A. Anang
  • A. Anang
  • Departement of Animal Production, Faculty of Animal Husbandry, Universitas Padjadjaran, Bandung, Jawa Barat, Indonesia.
  • Google Scholar
H. Indrijani
  • H. Indrijani
  • Departement of Animal Production, Faculty of Animal Husbandry, Universitas Padjadjaran, Bandung, Jawa Barat, Indonesia.
  • Google Scholar
L. B. Salman
  • L. B. Salman
  • Departement of Animal Production, Faculty of Animal Husbandry, Universitas Padjadjaran, Bandung, Jawa Barat, Indonesia.
  • Google Scholar
D. T. Tasripin
  • D. T. Tasripin
  • Departement of Animal Production, Faculty of Animal Husbandry, Universitas Padjadjaran, Bandung, Jawa Barat, Indonesia.
  • Google Scholar
M. Makin
  • M. Makin
  • Departement of Animal Production, Faculty of Animal Husbandry, Universitas Padjadjaran, Bandung, Jawa Barat, Indonesia.
  • Google Scholar


  •  Received: 05 December 2018
  •  Accepted: 22 January 2019
  •  Published: 30 April 2019

References

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Anang A, Mielenz N, Schuler L (2001a). Monthly model for genetic evaluation of laying hens. 1. Fixed regression. British Poultry Science 42:191-196.
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Anang A, Mielenz M, Schuler L, Preisinger R (2001b). The use of monthly egg production records for genetic evaluation of laying hens. Indonesia Journal of Animal Veterinary Science 64:252-261.

 

Anang A, Mielenz N, Schuler L (2002). Monthly model for genetic evaluation of laying hens. II. Random regression. British Poultry Science 43:384-390.
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Everett RW, and LH Wadell (1970). Sources of variation affecting the difference between morning and evening daily milk production. Journal of Dairy Science 53:1424-1429.
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Gilbert GR, Hargrove GL, Kroger M (1973). Diurnal variation in milk yield, fat yield, milk fat percentage and milk protein percentage of Holstein-Friesian cows. Journal of Dairy Science 56:409-410.
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Indrijani H, Anang A (2009). Fixed Regression Model as Solution for Genetic Evaluation in Dairy Cattle. Indonesia Journal Animal Veterinary Science14(3):216-221.

 

Indrijani H, Anang A, Alex JS (2011). Use of Test Day Records for Genetic Evaluation on Holstein in Indonesia. International Scientific Symposium Lucrari Stiintifice Seria Zootehnie. 55(16):49-52.

 

Jamrozik J, Kistemaker GJ, Dekkers JCM, Schaeffer LR (1997a). Comparison of possible covariates for use in a random regression model for analyses of test-day yields. Journal of Dairy Science 80:2550-2556.
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Liu Z, Reinhardt F, Reents R (2000). Estimating parameters of a random regression test day model for first three lactation milk production traits using the covariance function approach. Interbull Bulletin 25:74-80.

 

Ptak E, Schaeffer LR (1993). Use of test-day yields for genetic evaluation of dairy sires and cows. Livestock Production Science 34:23-34.
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Reents R, Jamrozik J, Schaeffer LR, Dekkers JCM (1995). Estimation of genetic parameters for test day records of somatic cell score. Journal of Dairy Science 78:2847.
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SAS (2002). SAS user's guide. Statistics, Release 9.0. SAS Institute Inc., Cary, North Carolina, USA.

 

Schaeffer LR, Dekkers JCM (1994). Random regressions in animal models for test-day production in dairy cattle. In Proc. 5th World Congr. Genet. Appl. Livest. Prod., Guelph, Canada. pp. 443-446.

 

Strabel T, Swaczkowski T (1997). Additive Genetic and Permanent Environmental Variance Components For Test Days Milk Traits In Black-White Cattle. Livestock Production Science 48:91-98.
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Swalve HH (1995). The Effect of Test Day Model On The Estimation Of Genetic Parameters And Breeding Values for dairy yield traits. Journal Dairy Science 78: 929-938.
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Swalve HH (2000). Symposium: Test-Day Models. Theoretical Basis and Computational Methods for Different Test-Day Genetic Evaluation Methods. Journal of Dairy Science 83:1115-1124.
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