D. Lazenby
Papers
2
Total Citations
17
H-Index
2
About
D. Lazenby is a leading researcher in precision dairy science, specializing in the statistical methodologies that underpin milk recording in robotic milking systems. Their work directly addresses a critical challenge in modern dairy management: how to accurately estimate 24-hour yields for milk, fat, and protein when cows are milked at variable intervals by automated systems. Lazenby’s seminal 2003 paper, which has garnered 12 citations, established a cost-effective framework for this estimation, providing the foundational protocols that allow producers to reliably monitor individual cow performance despite the inherent flexibility of robotic milking. Building on this, their 2006 study systematically compared international protocols for estimating 24-hour fat and protein percentages, offering a crucial evaluation of different sampling strategies—from single samples to more complex composite methods. By providing the statistical rigor needed to validate data from automated systems, Lazenby’s contributions have directly enabled the global adoption of robotic milking, ensuring that the efficiency gains from automation do not come at the cost of accurate herd management and genetic evaluation.
Research Focus
Key Achievements
Top Papers
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