Mingaudas Urbutis
Papers
9
Total Citations
95
H-Index
6
About
Mingaudas Urbutis is a veterinary researcher specializing in dairy cow health monitoring, precision livestock farming, and automated biomarker analysis. His work focuses on harnessing data from automatic milking systems (AMS) and biosensors to detect and prevent metabolic and reproductive disorders in dairy cattle, including subclinical acidosis, subclinical ketosis, lameness, and heat stress. Urbutis has made significant contributions to establishing inline milk biomarkers — particularly lactose concentration, lactate dehydrogenase, electrical conductivity, and milk fat-to-protein ratios — as reliable indicators of cow health and reproductive success. His most cited work (34 citations) demonstrated that inline lactose concentration serves as a meaningful biomarker for both health status and reproductive outcomes, helping producers intervene earlier and more precisely. His research on calving difficulty further revealed cascading effects on milk composition and lameness risk, offering practical guidance for farm management. Collectively accumulating nearly 100 citations, Urbutis's body of work bridges veterinary diagnostics and digital agriculture, demonstrating how automated, real-time monitoring can replace or complement traditional clinical assessments. His research is particularly valuable for students and practitioners interested in precision dairy farming, animal welfare, and the growing role of biosensor technology in optimizing livestock productivity and health outcomes.
Research Focus
Key Achievements
Top Papers
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- 4Influence of Calving Ease on In-Line Milk Lactose and Other Milk Components10 citations · 2021
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- 6Impact of Calving Difficulty on Lameness in Dairy Cows7 citations · 2022
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