Linear Models for the Prediction of Animal Breeding Values
By R. A. Mrode
Linear Models for the Prediction of Animal Breeding Values PDF. The prediction of producing desirable traits in offspring such as increased growth rate, or superior meat, milk and wool production is a vital economic tool to the animal scientist. Summarising the latest developments in genomics relating to animal breeding values and design of breeding programmes, this new edition includes models of survival analysis, social interaction and sire and dam models, as well as advancements in the use of SNPs in the computation of genomic breeding values.
Table of Contents
Table of contents
I: Preface
1: Genetic Evaluation with Different Sources of Records
2: Genetic Covariance Between Relatives
3: Best Linear Unbiased Prediction of Breeding Value: Univariate Models with One Random Effect
4: Best Linear Unbiased Prediction of Breeding Value: Models with Random Environmental Effects
5: Best Linear Unbiased Prediction of Breeding Value: Multivariate Animal Models
6: Methods to Reduce the Dimension of Multivariate Models
7: Maternal Trait Models: Animal and Reduced Animal Models
8: Social Interaction Models
9: Analysis of Longitudinal Data
10: Use of Genetic Markers in Breeding Value Prediction
11: Computation of Genomic Breeding Values and Genomic Selection
12: Non-additive Animal Models
13: Analysis of Ordered Categorical Traits
14: Survival Analysis
15: Estimation of Genetic Parameters
16: Use of Gibbs Sampling in Variance Component Estimation and Breeding Value Prediction
17: Solving Linear Equations
Appendix A: Introduction to Matrix Algebra 2
Appendix B: Fast Algorithms for Calculating Inbreeding Based on the L Matrix
Appendix C: Appendix C
Appendix D: Methods for Obtaining Approximate Reliability for Genetic Evaluations
Appendix E: Appendix E
Appendix F: Procedure for Computing Deregressed Breeding Values
Appendix G: Calculating F, a Matrix of Legendre Polynomials Evaluated at Different Ages or Time Periods
