Linear Models for the Prediction of Animal Breeding Values

Quantitative Genetics and Genomic Selection

Linear Models for the Prediction of Animal Breeding Values: Quantitative Genetics and Genomic Selection provides a comprehensive guide to the statistical methods used to estimate breeding values in livestock. Combining quantitative genetics with modern genomic technologies, the book explains linear mixed models, genetic evaluation, and genomic prediction for improving breeding programs and animal performance. It is an essential reference for animal scientists, geneticists, breeders, researchers, and graduate students.

Key Features

• Explains linear models for estimating animal breeding values.
• Covers quantitative genetics and modern genetic evaluation methods.
• Discusses genomic selection and the use of SNPs in breeding value prediction.
• Includes survival analysis, sire and dam models, and social interaction models.
• Examines the design and optimization of livestock breeding programs.
• Highlights applications for improving meat, milk, wool, and overall animal productivity.
• Ideal for animal breeders, geneticists, researchers, and students in animal science.