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|Title:||Computing approximate standard errors for genetic parameters derived from random regression models fitted by average information REML||Contributor(s):||Fischer, Troy (author); Gilmour, A. (author); Van Der Werf, Julius Herman (author)||Publication Date:||2004||DOI:||10.1051/gse:2004006||Handle Link:||https://hdl.handle.net/1959.11/3081||Abstract:||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.||Publication Type:||Journal Article||Source of Publication:||Genetics Selection Evolution, v.36, p. 363-369||Publisher:||EDP Sciences||Place of Publication:||France||ISSN:||0999-193X||Field of Research (FOR):||070206 Animal Reproduction||Peer Reviewed:||Yes||HERDC Category Description:||C1 Refereed Article in a Scholarly Journal||Statistics to Oct 2018:||Visitors: 148
|Appears in Collections:||Journal Article|
School of Environmental and Rural Science
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