Hybrid Artificial Insemination Program
ISSN 2158-9429
Volume 18, Issue 1 - June 2025
Editor: Linda Chalker-Scott
Abstract
To address a critical gap in artificial insemination (AI) training caused by shifts in AI company services, the University of Wisconsin–Madison Division of Extension developed an AI course for dairy and beef cattle producers. The course aims to improve producer independence and genetic progress by teaching hands-on AI techniques and enhancing understanding of estrous synchronization, bull selection, and pregnancy detection. Since its launch in 2015, the program has trained 248 participants using either a fully in-person or hybrid model combining virtual instruction with in-person practice. The hybrid model was adopted after the COVID-19 pandemic. Evaluation data from 2016 to 2024 showed an average 22% increase in knowledge based on pre- and post-course quiz scores (73% to 95%), and 95% of participants demonstrated adequate practical skills to receive certification. Long-term follow-up revealed that participants AI bred 3,760 animals, saving an estimated $100,242 in breeding fees and increasing herd genetic quality. The program's adaptable delivery model and measurable impact on producer skill and cost savings highlight its relevance and scalability for other U.S. states facing similar service gaps in AI training.
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