Open AccessAbout the data designs for estimation of genetic parameters in animal breeding studies
Author(s) -
Tanel Kaart
Publication year - 2004
Publication title -
acta et commentationes universitatis tartuensis de mathematica./acta et commentationes universitatis tartuensis de mathematica
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.276
H-Index - 6
eISSN - 2228-4699
pISSN - 1406-2283
DOI - 10.12697/acutm.2004.08.07
Subject(s) - sire , statistics , estimator , best linear unbiased prediction , mixed model , intraclass correlation , random effects model , variance (accounting) , variance components , mathematics , genetic correlation , linear model , computer science , biology , genetic variation , selection (genetic algorithm) , genetics , artificial intelligence , zoology , medicine , meta analysis , accounting , gene , business , psychometrics
The simple random one-way linear model and ANOVA estimators of random effects, variance components and intraclass correlation are studied. A related sire model in animal genetic studies is considered. The study is focused on the effect of data design on the accuracy of estimates. The patterns of sampling variances of estimates depending on the genetic determination of the trait and data design are examined and optimal designs for different genetic parameters are compared in the balanced case.