Analysis of age-specific predicted transmitting abilities for final scores in Holsteins with a random regression model

J Dairy Sci. 2002 May;85(5):1324-30. doi: 10.3168/jds.S0022-0302(02)74197-0.

Abstract

Conformation final scores obtained by the Holstein Association were used in this study. Five subsets were sampled from the original complete data, which contained about 7 million records, and (co)variance components for additive genetic, permanent environmental, and residual effects were estimated with a multiple-trait (MT) model at different ages of cows and with a random regression model. Transmitting abilities were predicted with the random-regression (RR) model and with the repeatability model for the national evaluation, using the entire data set. The RR model included fixed and random regressions on age at classification for additive genetic and permanent environmental effects. Additive genetic and residual variances estimated with the MT model increased with aging. Genetic correlations between age groups decreased with their distance. Heritability and repeatability estimates with the RR model were 0.27 and 0.88 on average, increasing with cow's age. Correlations between transmitting abilities predicted with the RR model at various ages and with the repeatability model were in the range of 0.89 to 0.99. In the 1980s, predicted transmitting abilities (PTA) of sires increased with their daughters' age, but in 1991 and 1995, the PTA decreased. In general, sires whose daughters were evaluated at mature ages tended to have higher PTA. For sires and cows, genetic trends estimated from the repeatability model and from the RR model were similar. The low genetic trend of cows at 60 mo for recent years was due to many grade cows that had only single records and little pedigree information.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Aging*
  • Animals
  • Breeding*
  • Cattle / genetics*
  • Female
  • Male
  • Models, Genetic
  • Models, Statistical
  • Pedigree
  • Quantitative Trait Loci*
  • Regression Analysis