Papers
5
Total Citations
12
H-Index
2
About
L.R. Zagidullin is a leading researcher in precision dairy farming, with a focus on the behavioral and physiological adaptation of cattle to robotic milking systems. Their work centers on the digitalization of dairy cattle breeding, particularly how automated technologies affect animal welfare, productivity, and selection. Zagidullin’s major contributions include pioneering studies on the ethology of Kholmogory cows in the Republic of Tatarstan, where they developed indices for feeding, motor, and overall activity to classify cows by milk yield. They have also advanced methods for evaluating udder morphofunctional properties and stress resistance, directly linking these traits to milking efficiency in robotic systems. With over 12 citations across key papers published between 2020 and 2024, their research provides critical insights for optimizing herd management and breeding programs in the era of “precise” animal husbandry. Notably, their work on first-calf heifers’ lactation dynamics under robotic milking offers practical guidance for improving early-lactation performance. Zagidullin’s findings are instrumental for students and researchers seeking to understand how digital technologies can enhance both productivity and animal well-being in modern dairy operations.
Research Focus
Key Achievements
Top Papers
- 1
- 2Dairy robotic milking system3 citations · 2023
- 3COW EVALUATION AND SELECTION BY UDDER QUALITY DURING ROBOTIC MILKING2 citations · 2024
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- 5