Plan feeding in pasture systems to optimize forage quality, nutritional balance, and productive efficiency in horses.
Comprehensive training in equine reproductive biotechnologies: OPU, ICSI, in vitro production, embryo transfer, laboratory planning, and emerging technologies such as sexing, cryopreservation, and gene editing in assisted reproduction.
Learn to analyze and optimize equine housing systems through practical design strategies in this self-paced course, focusing on welfare, biosecurity, and operational efficiency.
Learn to formulate balanced diets for horses according to their life stage and physiological condition by analyzing nutritional requirements and using forages, supplements, and strategies to optimize their health and performance.
Analyze horse behavior and welfare by exploring ethology, management practices, and human-animal interactions in a self-paced learning module.
Learn to implement comprehensive health management programs for equine operations by analyzing epidemiology, infectious and parasitic disease prevention, biosecurity, and effective surveillance and control strategies.
Learn to analyze forage planning, selection, and conservation methods through case-based approaches to optimize pasture management and support balanced horse nutrition in this self-paced module.
Learn to evaluate the potential, applications, and limitations of in vitro equine embryo production by analyzing OPU and ICSI techniques and their role in modern assisted reproduction programs.
Learn to analyze how environment, management, and human interaction influence horse welfare, behavior, and performance through practical, real-world scenarios in this self-paced module.
Formulate balanced diets and apply nutritional strategies to improve digestive health, well-being, and equine performance.
Manage equine nutrition at key stages to optimize their development, well-being, and performance in production systems.
Optimize the well-being and performance of the sport horse through management, feeding and environment strategies based on technical criteria.