Jacquelyn P. Boerman
Papers
5
Total Citations
127
H-Index
5
About
Jacquelyn P. Boerman is a pioneering animal geneticist and dairy scientist whose research sits at the intersection of genomics, precision livestock farming, and sustainable dairy cattle breeding. Working primarily with North American Holstein cattle, Boerman has made significant contributions to understanding the genetic architecture of complex traits captured by automatic milking systems (AMS), including milkability, udder conformation, behavioral efficiency, and animal resilience. Her landmark 2023 study on genomic parameters for resilience across lactations (46 citations) directly addresses the urgent challenge of climate adaptation in dairy herds, offering a framework for breeding cattle better equipped to withstand environmental disruption. Her equally impactful work on AMS-derived milkability traits (36 citations) has helped translate large-scale robotic farming data into actionable genetic insights. Boerman has also advanced the application of machine learning and deep learning algorithms for genomic prediction of behavioral traits, pushing the boundaries of conventional statistical approaches. Collectively, her research empowers dairy producers and breeders with data-driven tools to improve animal welfare, productivity, and long-term genetic progress, making her a compelling voice in the future of precision dairy cattle genetics.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5