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

Genetics Selection Evolution

Julius HJ van der Werf¹  Arthur R Gilmour¹  Troy M Fischer¹ 

[1] Australian Sheep Industry CRC

关键词: residual maximum likelihood;    genetic parameter;    approximate standard error;    heritability;    random regression;   

Others  :  1094322
DOI  :  10.1186/1297-9686-36-3-363

 received in 2003-10-21, accepted in 2004-01-09,  发布年份 2004

【 摘 要 】

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.

【 授权许可】

   
2004 INRA, EDP Sciences