This book contains 17 chapters that describe the use of statistical analyses and models to estimate, analyse and compare the genetic parameters, breeding value and performance traits of livestock. Each chapter contains the theories and actual application of the concepts. The book has been compiled from various publications and experience in the subject area and from involvement in several national evaluation schemes over the last 14 years. Relevant references are included to indicate sources of some of the materials.

Includes bibliographical references and index.

Genetic evaluation with different sources of records -- Genetic covariance between relatives -- Best linear unbiased prediction of breeding value: univariate models with one random effects -- Best linear unbiased prediction of breeding value: models with random environmental effects -- Best linear unbiased prediction of breeding value: multivariate animal models -- Methods to reduce the dimension of multivariate models -- Maternal traits models: animal and reduced animal models -- Social interaction models -- Analysis of longitudinal data -- Use of genetic markers in breeding value prediction -- Computation of genomic breeding values and genomic selection -- Non-additive animal models -- Analysis of ordered categorical trait -- Survival analysis -- Estimation of genetic parameters / Robin Thompson -- Use of Gibbs sampling in variance component estimation and breeding value prediction -- Solving linear equations.

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Title from PDF title page (viewed July 22, 2015).