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Genetics Selection Evolution

Open Access

Computing approximate standard errors for genetic parameters derived from random regression models fitted by average information REML

  • Troy M Fischer1, 3Email author,
  • Arthur R Gilmour2, 3 and
  • Julius H.J. van der Werf1, 3
Genetics Selection Evolution200436:363

Received: 21 October 2003

Accepted: 9 January 2004

Published: 15 May 2004


Approximate standard errors (ASE) of variance components for random regression coefficients are calculated from the average information matrix obtained in a residual maximum likelihood procedure. Linear combinations of those coefficients define variance components for the additive genetic variance at given points of the trajectory. Therefore, ASE of these components and heritabilities derived from them can be calculated. In our example, the ASE were larger near the ends of the trajectory.


random regressionheritabilityapproximate standard errorgenetic parameterresidual maximum likelihood

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Authors’ Affiliations

School of Rural Science and Agriculture, University of New England, Armidale, Australia
NSW Agriculture, Orange Agricultural Institute, Orange, Australia
Australian Sheep Industry CRC, Australia


© INRA, EDP Sciences 2004