Genetic Models for Animal Breeding: Principles and Application

Animal breeding has evolved from simple selection into a sophisticated science driven by quantitative genetics and data-driven statistical models. Understanding these models is essential for anyone looking to improve livestock traits responsibly and efficiently. This text-based course guides you from foundational genetic concepts to the practical application of statistical models used in modern animal breeding. You will learn how to estimate breeding values, structure breeding programs, and integrate modern genomic data. What you'll learn: - Understand foundational concepts of quantitative genetics, heritability, and trait variation. - Apply statistical models to predict breeding values and estimate genetic parameters. - Design structured breeding programs that balance genetic gain with genetic diversity. - Explore modern genomic selection methods and how molecular data enhances prediction accuracy. - Evaluate the ethical and sustainability considerations of modern breeding decisions. The course begins with essential terminology and the biological basis of quantitative traits before progressing to step-by-step written explanations of statistical modeling and program design. Designed for beginners, agricultural students, and livestock enthusiasts, this course requires no prior advanced genetic modeling experience. Start reading today to master the science of modern animal breeding.