Skip to main content

Estimating genetic covariance functions assuming a parametric correlation structure for environmental effects

Abstract

A random regression model for the analysis of "repeated" records in animal breeding is described which combines a random regression approach for additive genetic and other random effects with the assumption of a parametric correlation structure for within animal covariances. Both stationary and non-stationary correlation models involving a small number of parameters are considered. Heterogeneity in within animal variances is modelled through polynomial variance functions. Estimation of parameters describing the dispersion structure of such model by restricted maximum likelihood via an "average information" algorithm is outlined. An application to mature weight records of beef cow is given, and results are contrasted to those from analyses fitting sets of random regression coefficients for permanent environmental effects.

(To access the full article, please see PDF)

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Karin Meyer.

Rights and permissions

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Reprints and Permissions

About this article

Cite this article

Meyer, K. Estimating genetic covariance functions assuming a parametric correlation structure for environmental effects. Genet Sel Evol 33, 557 (2001). https://doi.org/10.1186/1297-9686-33-6-557

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/1297-9686-33-6-557

Keywords

  • repeated records
  • random regression model
  • correlation function
  • estimation
  • REML