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Pangenomics and machine learning for crop improvement
The changing climate and increasing human population mean that we need to accelerate the production of improved crop varieties. Advances in genomics and phenomics are helping to accelerate crop improvement, but the quantity and diversity of data being generated is vast and needs new methods for integrated analysis. Artificial intelligence (AI) approaches provide one solution to this analysis challenge.
This webinar with Dave Edwards, University of Western Australia, recorded on 12 April 2023, provides an overview on recent advances in pangenomics and application of machine learning and deep learning for crop genomic and phenomic data analysis
Learning outcomes
By the end of the video you will be able to:
- Identify the benefits and limitations of different pangenome construction methods
- Discover how AI can be applied to crop genomic and phenomic data
After getting a flavour of machine learning and deep learning methods, you may explore the application of mathematical modelling in plant research in the next section.