This track focuses on the latest methodologies in genomic prediction for livestock. Participants will explore innovative approaches to enhance breeding values and improve genetic selection efficiency.

This session delves into the application of statistical genetics in the context of animal breeding. Emphasis will be placed on models that facilitate the understanding of genetic variation and trait inheritance.

This track addresses the identification and analysis of quantitative trait loci (QTL) in livestock. Discussions will center on the implications of QTL mapping for genetic improvement and breeding strategies.

This session highlights the role of computational genetics in handling large genomic datasets. Participants will examine tools and techniques for efficient data analysis and interpretation in animal genetics.

This track explores various genetic modeling approaches aimed at enhancing livestock performance. The focus will be on integrating genetic and environmental factors to optimize breeding programs.

This session discusses strategies to enhance breeding efficiency and maximize genetic gain in livestock. Participants will share insights on optimizing selection methods and breeding designs.