Livestock Breeding in the Age of Digital Agriculture

Dear Colleagues,

In an era of massive information digitization, modern farming technologies and animal breeding systems produce massive amounts of data due, in part, to the advent and ever-reducing costs of genotyping and sequencing technologies. High-performance computing approaches, efficient data acquisition, warehousing, and analytics combined with super-fast data transfer technologies are in development. Data mining algorithms, statistical machine learning, and efficient mathematical optimization techniques for large matrix operations are currently developed to face the current challenges related to constructing genetic evaluation models based on genotypic, phenotypic, and sensor-based information from millions of animals and their farming environments. This Special Issue will consider how livestock breeding computational approaches have adapted to face these challenges, how such approaches are applied to current breeding problems and how they attempt to predict and address future trends.

Dr. Dan Tulpan
Guest Editor

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