Integration Of Multi-Omics Data Using AI methods For Plant Breeding Applications (Dr. Diego Jarquin)

The III InterGen has as its central theme “Artificial Intelligence in Plant Breeding: new approaches to the challenges of climate change”. The event will take place on the 27th, 28th, and 29th of September 2022.
This event, the third in partnership with the Corteva Agriscience Company, is an opportunity for professionals, experts, and students to discuss how advances in Artificial Intelligence have contributed to studies and advances in the field of Genetics and Plant Breeding, as well as to mitigate the effects of climate change.
In this sense, the topic is extremely important, since it integrates different approaches such as phenotyping, genotyping, and machine learning, with the objective of contributing to the interpretation of data for decision-making in the face of rapid environmental changes.

DR. DIEGO JARQUIN ([email protected])

Assistant Professor, Integration & Application of AI & Omics in Plant Breeding

One of the biggest challenges of humanity is to ensure the current and future food supply chain of a growing population in a world that is facing more often and extreme environmental variations The contributions of Dr. Jarquin research program are relevant to society because these are helping to the development of improved (more productive, resistant to biotic and abiotic stress, etc.) genotypes by the integrating artificial intelligence (AI) methods and multi-omics analyses in plant breeding. Dr. Jarquin's program is focused on the development of interpretable AI methods and related disciplines (biostatistics, quantitative genetics, and modeling) that can be applied to large multi-omics data sets for providing solutions to complex plant breeding and plant systems biology questions. More specifically, these developments are oriented to find new ways of driving genetic improvement and biological insights by designing and optimizing methods for plant breeding, leveraging information from multiple facets of plant biology—physiology, agronomy, and biochemistry to quantitative genetics and multi-omics (genomics, transcriptomics, proteomics, metabolomics, and high throughput phenotyping), and provide novel solutions to unravel the biological basis of complex traits for plant breeding programs.

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