Advances in Statistical Methods for Genetic Improvement of Livestock

Livestock Genetic Improvement 

A specialized reference examining the statistical methods used in animal breeding and livestock genetic improvement. The book reviews the theoretical foundations and practical applications of quantitative genetics, statistical modeling, and computational techniques that support genetic evaluation and selection programs. It provides advanced coverage of breeding value estimation, selection response, mixed models, variance component estimation, and modern analytical approaches used to improve productivity, efficiency, and genetic merit in livestock populations.

Key Features

• Comprehensive review of statistical methods in animal breeding
• Covers quantitative genetics and genetic evaluation
• Explains breeding value prediction and selection theory
• Discusses mixed models and linear model methodologies
• Covers variance component estimation techniques
• Examines genetic improvement programs in livestock
• Integrates advances in computing and statistical analysis
• Includes theoretical and practical applications
• Suitable for researchers, animal breeders, and graduate students
• Valuable reference for livestock genetic improvement programs