Nicolas Gengler

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About

Nicolas Gengler is a leading figure in quantitative genetics and dairy cattle breeding, with a particular focus on integrating novel, high-throughput phenotypes into genetic evaluation systems. His research spans the genetic improvement of milk production, health, and efficiency traits, with a strong emphasis on leveraging data from automated milking systems (AMS). Gengler’s major contributions include pioneering the use of behavioral indicators from robotic milking—such as milking speed, frequency, and latency—as heritable traits that can be selected for to improve both cow welfare and farm profitability. His 2025 study on the genetic background of AMS efficiency in North American Holsteins (7 citations) exemplifies his work in translating sensor data into actionable breeding tools. With a career marked by over 100 peer-reviewed publications and thousands of citations, Gengler has also been instrumental in developing national genetic evaluation models for multiple countries. His achievements include leading major international collaborations and receiving awards for advancing the use of on-farm technology in livestock genetics, making him a key voice in the future of precision dairy farming.