Linear models for the prediction of animal breeding values /

• Main Authors: Mrode, R. A., (Author), Thompson, Robin, (Author)
• Format: eBook
• Language: English
• Published: Wallingford, Oxfordshire, UK : CABI, 2014.
• Edition: 3rd edition.
• Subjects: Livestock > Breeding > Mathematical models.; Livestock > Breeding > Statistical methods.; Livestock > Genetics > Mathematical models.; Livestock > Genetics > Statistical methods.; Animal Husbandry and Production, (New March 2000); Animal Genetics and Breeding, (New March 2000); Animal Reproduction and Embryology, (New March 2000); Mathematics and Statistics.; Animal breeding.; Best Linear Unbiased Prediction.; Breeding value.; Domestic animals.; Estimation.; Fertility.; Genetic parameters.; Linear models.; Livestock.; Models.; Performance traits.; Reproductive performance.; Selection.; Statistical analysis.; Survival.
• Online Access: View fulltext via EzAccess

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 f...

Table of Contents:

• 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.