Germany and Australia
April 11, 2024
Computomics and the Australian Research Council (ARC) Centre of Excellence for Plant Success in Nature and Agriculture administered by The University of Queensland will collaborate on the investigation of machine learning methods to enhance complex trait predictions and accelerate genetic gain for plant breeding.
Under this collaboration, Computomics and the Centre will combine their expertise to drive innovation and accelerate genetic gain in plant breeding. Leveraging Computomics' climate-smart breeding technology and expertise from the Centre for Plant Success, the collaboration aims to improve selection in breeding for complex traits, for instance related to branching and flowering.
This includes the definition of optimized combinations of genomic, environmental and management data for prediction-based breeding strategies designed to account for Genotype by Environment by Management (GxExM) interactions.
Sebastian J Schultheiss, Mark Cooper, Rupashree Dass, Owen Powell, István Dékány (from left to right)
"We have been in exchange with Mark for about a year already and are now excited to formalize the collaboration with him, with his team and with The University of Queensland, a global leader in plant science research and plant breeding. This partnership will leverage the power of AI and machine learning to accelerate crop improvement and contribute to a more sustainable food future", says Dr. Sebastian J. Schultheiss, Managing Director at Computomics.
“We are really excited to have Computomics as a new patner in our Centre of Excellence to explore how to harness the power of machine learning to enhance prediction applications for agriculture in natural systems”, says Professor Mark Cooper, Deputy Director of the Centre for Plant Success based at The University of Queensland.
About the Centre for Plant Success
The Australian Research Council (ARC) Centre of Excellence for Plant Success in Nature and Agriculture is making discoveries about the adaptive strategies underpinning productivity and resilience in diverse plants. Multidisciplinary teams are researching plant gene and physiological networks across species and using this knowledge to develop predictive models that will enhance the sustainability of plant life, improve food security, and transform plant science for the next generation. The Centre is a collaboration between five Australian Universities and is funded by the Australian Government through the Australian Research Council Centres of Excellence funding scheme. To learn more about the Centre, please visit www.plantsuccess.org or follow Plant Success on Twitter http://twitter.com/CoEPlantSuccess or LinkedIn http://linkedin.com/company/CoEPlantSuccess
About Computomics
Computomics applies AI to bioinformatics data to enable rapid understanding of genomics and drive advanced agriculture solutions. Computomics is a team of world-leading experts in machine learning, plant research and bioinformatics, who use data to unlock the diversity of biological life. In over 190 projects, Computomics enabled customers to make data-driven decisions and thereby accelerate sustainable agricultural development that can feed the world. Computomics’ interpretable machine learning technology enables rapid understanding of genomic data for plant breeding, agricultural biotech, and microbiome researchers. To learn more about Computomics, please visit computomics.com or follow Computomics on Twitter at twitter.com/Computomics or LinkedIn at https://www.linkedin.com/company/computomics-gmbh.
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