Jacob M Maskal
Papers
1
Total Citations
7
H-Index
1
About
Jacob M. Maskal is a rising researcher in dairy cattle genetics and precision livestock farming, whose work focuses on harnessing large-scale data from automated milking systems (AMS) to improve both animal welfare and production efficiency. His most-cited study, “Investigating the genetic background of novel behavioral indicators of robotic milking efficiency in North American Holstein cattle” (2025, 7 citations), represents a pioneering effort to identify heritable traits linked to voluntary milking behavior in robotic systems. By analyzing routine AMS data, Maskal’s research reveals that behaviors such as milking frequency and visit duration have a genetic basis, opening the door for selective breeding to enhance robotic milking efficiency. This work not only contributes to reducing labor costs and improving milk performance but also supports better cow welfare by aligning genetics with modern management systems. Though early in his career, Maskal’s integration of quantitative genetics with precision technology positions him at the forefront of a transformative shift in dairy science—one where data-driven breeding decisions can optimize both animal well-being and farm profitability.
Research Focus
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Top Papers
- 1