Victor Breno Pedrosa
Papers
5
Total Citations
122
H-Index
4
About
Victor Breno Pedrosa is an emerging force in dairy cattle genomics, whose research sits at the intersection of precision livestock farming, quantitative genetics, and animal welfare. His work focuses on harnessing data generated by automatic milking systems (AMS) to derive novel, biologically meaningful traits for genetic evaluation in North American Holstein cattle. Pedrosa has made significant contributions by establishing genomic-based genetic parameters for milkability, udder conformation, and behavioral traits — areas previously underexplored due to the complexity and volume of data involved. His 2023 study on resilience across lactations, now cited 46 times, represents a timely and critical response to climate change pressures on dairy production, offering a framework for breeding more robust animals. With 36 citations, his parallel work on AMS-derived milkability traits has similarly shaped how the field approaches labor-efficient dairy systems. Notably, Pedrosa has also pioneered the application of machine learning and deep learning algorithms for genomic prediction of cow behavioral traits, positioning him at the cutting edge of computational animal breeding. Across his body of work, Pedrosa is rapidly establishing himself as a leading voice in next-generation dairy cattle improvement.
Research Focus
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