Selection index and introduction to mixed model methods /
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| Format: | Book |
| Language: | English |
| Published: |
Boca Raton :
CRC Press,
[1993]
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| Subjects: |
Table of Contents:
- 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.