Linear Models for the Prediction of Animal Breeding Values 3rd Edition by Raphael A Mrode ISBN 1780643918 9781780643915

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Product details:

ISBN 10: 1780643918 
ISBN 13: 9781780643915
Author: Raphael A Mrode

Linear Models for the Prediction of Animal Breeding Values 3rd Table of contents:

• Fundamentals of Animal Breeding

  • The concept of breeding value and genetic prediction

  • Genetic parameters: heritability, genetic correlation, and environmental effects

  • Breeding programs and selection strategies

• Basic Statistical Concepts in Animal Breeding

  • Review of statistical tools used in breeding value prediction

  • Descriptive statistics and data types in animal breeding

  • Concepts of variance, covariance, and correlation in genetics

• Linear Models in Animal Breeding

  • Introduction to linear models and their application in genetics

  • The general linear model (GLM) and its components

  • Assumptions and limitations of linear models in animal breeding

• Best Linear Unbiased Prediction (BLUP)

  • Principles of BLUP and its role in estimating breeding values

  • Application of BLUP in animal breeding

  • Mixed linear models and the estimation of fixed and random effects

• Univariate Linear Models for Breeding Value Prediction

  • Application of univariate models for single trait analysis

  • Estimation of breeding values for single traits using linear models

  • Model validation and interpretation of results

• Multivariate Linear Models in Animal Breeding

  • Extending linear models to multiple traits (multivariate analysis)

  • Estimating breeding values for multiple traits simultaneously

  • Covariance structures and their influence on predictions

• Use of Pedigree Information in Linear Models

  • The role of pedigree data in genetic prediction

  • Incorporating pedigree-based relationships in linear models

  • Solving pedigree-based breeding value equations

• Genomic Prediction in Animal Breeding

  • Incorporating genomic data into linear models

  • Genomic selection and its advantages in animal breeding

  • Estimating genomic breeding values and the integration with traditional models

• Advanced Linear Models for Complex Data Structures

  • Dealing with complex data structures, such as longitudinal data and repeated measures

  • Mixed models and handling large-scale breeding datasets

  • Computational challenges and solutions

• Statistical Software for Linear Models in Animal Breeding

  • Overview of commonly used software packages (e.g., ASReml, VCE, R)

  • Implementation of linear models in animal breeding using software

  • Practical tips for setting up models and interpreting results

• Applications of Linear Models in Breeding Programs

  • Case studies and real-world examples of linear models in breeding programs

  • Predicting breeding values for different species (e.g., cattle, pigs, poultry)

  • Evaluating genetic progress and the impact of selection

• Challenges and Future Directions in Animal Breeding

  • Current challenges in the use of linear models for breeding value prediction

  • Future advancements in genomic prediction and big data analytics

  • The evolving role of artificial intelligence and machine learning in breeding programs

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Tags: Raphael A Mrode, Linear Models, Prediction, Animal Breeding Values