​​​​​​​Genomic Selection holds huge promise for plant breeders: faster genetic gain, smarter decision-making, and streamlined workflows. But how can programs overcome practical challenges like data integration, model selection, and resource limitations?
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Join us for a webinar that cuts through the noise and focuses on how GS is being applied successfully in real-world breeding programs.

Climate change is strongly impacting the cultivation of malting barley. Breeders face the critical task of developing resilient and highest quality malting barley varieties while upholding sustainable practices and building robust supply chains. The brewing industry demands nothing but the best barley for the malting process, with a stable profile, consistent quality, and reliable characteristics.
 
In this context, advanced technology becomes indispensable in meeting the ambitious requirements of various stakeholders, including sustainability goals, supply chain continuity, and the brewing industry's quality standards. 
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Computomics’ machine learning technology xSeedScore® helps to develop novel cultivars with specific trait combinations that are of high value in the malting process. By leveraging environmental data, xSeedScore® identifies best performing crosses based on current and future environmental conditions. 

What we'll cover: