http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
Selection index and introduction to mixed model methods
Parameters, statistics and expected values -- Little about matrix algebra -- Quantifying the simple mendelian model -- Short summation on population genetics -- Genes identical by descent-the basis of genetic likeness -- Genetic values and genetic covariances -- Selection index -- Determining the coefficients for selection index equations -- Sire evaluation, example of application of selection index -- Probability statements about true value -- Superiority of selected groups -- Selection index flow chart for single traits -- Selection with more than one trait measured -- Using records on all traits of relatives -- Selection index for categorical data -- Selection for embedded traits: maternal effects -- Selection when traits influenced by grandmaternal and maternal effects -- Fetal effects model (sire of fetus effect) -- Cytoplasmic effects model -- Selection for traits with nonlinear economic value -- Restricted selection -- Index and economic values in retrospect -- Introduction to mixed model prediction -- Prediction from linear models -- Least squares equations: one-way classification model.
(cont) Animal model -- Sire models -- Computing the inverse of the additive relationship matrix -- Models with animals related -- Sire models with some relationships -- Variance of prediction errors -- Numerical example of animal model with different constraints -- Creating and solving least squares and mixed model equations -- Models for crossbreeding -- Flow chart for mixed model equations -- Estimation of genetic parameters using simple statistical models -- Summation and dot notation -- Expected values -- Repeatability -- Heritability -- Genetic, environmental and phenotypic correlations -- Monte Carlo simulation -- Generating random standard normal variables.
Includes bibliographical references (pages 471-481).