Comparison of random regression test-day models for polish Black and White cattle

被引:57
|
作者
Strabel, T
Szyda, J
Ptak, E
Jamrozik, J
机构
[1] Acad Agr Poznan, Dept Anim Breeding & Genet, PL-61627 Poznan, Poland
[2] Agr Univ Wroclaw, Dept Anim Breeding & Genet, PL-51631 Wroclaw, Poland
[3] Agr Univ Krakow, Dept Anim Breeding & Genet, PL-30059 Krakow, Poland
[4] Univ Guelph, Dept Anim & Poultry Sci, Ctr Genet Improvement Livestock, Guelph, ON N1G 2W1, Canada
关键词
dairy cattle; test-day yield; random regression model;
D O I
10.3168/jds.S0022-0302(05)73055-1
中图分类号
S8 [畜牧、 动物医学、狩猎、蚕、蜂];
学科分类号
0905 ;
摘要
Test-day milk yields of first-lactation Black and White cows were used to select the model for routine genetic evaluation of dairy cattle in Poland. The population of Polish Black and White cows is characterized by small herd size, low level of production, and relatively early peak of lactation. Several random regression models for first-lactation milk yield were initially compared using the "percentage of squared bias" criterion and the correlations between true and predicted breeding values. Models with random herd-test-date effects, fixed age-season and herd-year curves, and random additive genetic and permanent environmental curves (Legendre polynomials of different orders were used for all regressions) were chosen for further studies. Additional comparisons included analyses of the residuals and shapes of variance curves in days in milk. The low production level and early peak of lactation of the breed required the use of Legendre polynomials of order 5 to describe age-season lactation curves. For the other curves, Legendre polynomials of order 3 satisfactorily described daily milk yield variation. Fitting third-order polynomials for the permanent environmental effect made it possible to adequately account for heterogeneous residual variance at different stages of lactation.
引用
收藏
页码:3688 / 3699
页数:12
相关论文
共 50 条
  • [31] Random regression models to estimate genetic parameters for test-day milk yield in Brazilian Murrah buffaloes
    Sesana, R. C.
    Bignardi, A. B.
    Borquis, R. R. A.
    El Faro, L.
    Baldi, F.
    Albuquerque, L. G.
    Tonhati, H.
    [J]. JOURNAL OF ANIMAL BREEDING AND GENETICS, 2010, 127 (05) : 369 - 376
  • [32] Random regression models to estimate genetic parameters for test-day milk yield and composition in Iranian buffaloes
    Madad, Mostafa
    Hossein-Zadeh, Navid Ghavi
    Shadparvar, Abdol Ahad
    Kianzad, Davood
    [J]. ARCHIV FUR TIERZUCHT-ARCHIVES OF ANIMAL BREEDING, 2013, 56 : 276 - 284
  • [33] Random Regression Models Using Legendre Polynomials to Estimate Genetic Parameters for Test-day Milk Protein Yields in Iranian Holstein Dairy Cattle
    Naserkheil, Masoumeh
    Miraie-Ashtiani, Seyed Reza
    Nejati-Javaremi, Ardeshir
    Son, Jihyun
    Lee, Deukhwan
    [J]. ASIAN-AUSTRALASIAN JOURNAL OF ANIMAL SCIENCES, 2016, 29 (12): : 1682 - 1687
  • [34] Estimation of Genetic Parameters for First Lactation Monthly Test-day Milk Yields using Random Regression Test Day Model in Karan Fries Cattle
    Singh, Ajay
    Singh, Avtar
    Singh, Manvendra
    Prakash, Ved
    Ambhore, G. S.
    Sahoo, S. K.
    Dash, Soumya
    [J]. ASIAN-AUSTRALASIAN JOURNAL OF ANIMAL SCIENCES, 2016, 29 (06): : 775 - 781
  • [35] Genetic parameters for Tunisian Holsteins using a test-day random regression model
    Hammami, H.
    Rekik, B.
    Soyeurt, H.
    Ben Gara, A.
    Gengler, N.
    [J]. JOURNAL OF DAIRY SCIENCE, 2008, 91 (05) : 2118 - 2126
  • [36] Assessment of homogeneity vs. heterogeneity of residual variance in random regression test-day models in a Bayesian analysis
    López-Romero, P
    Rekaya, R
    Carabaño, MJ
    [J]. JOURNAL OF DAIRY SCIENCE, 2003, 86 (10) : 3374 - 3385
  • [37] Estimation of genetic parameters with random regression models using test-day records beyond 305 days in milk
    Bohmanova, J.
    Miglior, F.
    Jamrozik, J.
    [J]. JOURNAL OF DAIRY SCIENCE, 2007, 90 : 422 - 422
  • [38] Estimation of genetic parameters with random regression models using test-day records beyond 305 days in milk
    Bohmanova, J.
    Miglior, F.
    Jamrozik, J.
    [J]. POULTRY SCIENCE, 2007, 86 : 422 - 422
  • [39] Estimation of genetic parameters with random regression models using test-day records beyond 305 days in milk
    Bohmanova, J.
    Miglior, F.
    Jamrozik, J.
    [J]. JOURNAL OF ANIMAL SCIENCE, 2007, 85 : 422 - 422
  • [40] Random regression models using different functions to model test-day milk yield of Brazilian Holstein cows
    Bignardi, A. B.
    El Faro, L.
    Torres Junior, R. A. A.
    Cardoso, V. L.
    Machado, P. F.
    Albuquerque, L. G.
    [J]. GENETICS AND MOLECULAR RESEARCH, 2011, 10 (04): : 3565 - 3575