Linear Models for the Prediction of Animal Breeding Values

Capa
CABI, 2005 - 344 páginas
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Best Linear Unbiased Prediction (BLUP) has become the most widely accepted method for genetic evaluation of domestic livestock. Since its introduction, the method has evolved and despite this there is no simple text on the application of linear models to the prediction of breeding values. This book has been written with a good balance of theory and application to fill this gap. Equations for partitioning breeding values into contributions from various sources of information are derived under the various models. Recent developments in the analysis of longitudinal data with random regression models and the inclusion of genetic marker information in the evaluation of animals have been incorporated. Overall the book has been thoroughly updated since the first edition was published in 1996.
 

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Conteúdo

1 Genetic Evaluation with Different Sources of Records
1
2 Genetic Covariance Between Relatives
25
Univariate Models with One Random Effect
39
Models with Random Environmental Effects
71
Multivariate Models
83
Animal and Reduced Animal Models
121
7 Analysis of Longitudinal Data
135
8 Use of Genetic Markers in Prediction of Breeding Values
163
13 Solving Linear Equations
259
Introductory Matrix Algebra
289
Fast Algorithms for Calculating Inbreeding Based on the L Matrix
297
Appendix C
303
Methods for Obtaining Approximate Reliability for Genetic Evaluations
307
Appendix E
311
Procedure for Computing Deregressed Breeding Values
317
Calculating 934 a Matrix of Legendre Polynomials Evaluated at Different Ages or Time Periods
321

9 Nonadditive Animal Models
193
10 Analysis of Ordered Categorical Traits
211
11 Estimation of Genetic Parameters
235
12 Application of Gibbs Sampling in Variance Component Estimation and Prediction of Breeding Value
247
Computing the Covariance Matrix of Additive Genetic Effect of Marked QTL MQTL when Paternal or Maternal Origin of Marker Alleles cannot be ...
325
References
333
Index
341
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