The changing climate demands the development of faster breeding methods to provide effective solutions for the future agriculture. Plant phenotyping is used for plant-environment interactions in a number of settings, from highly controlled environments to field conditions. This course series aims to introduce the emerging research fields of high throughput plant phenotyping and omics technologies (including bioinformatics). This core focus of the course is on computational solutions for handling and analyzing plant phenotyping data.
The course is part of a NOVA course series of four courses. This course introduces the emerging technologies related to i) automated and image based plant phenotyping technologies that are intended to remove bottlenecks between genotype and phenotype screens, ii) high throughput field phenotyping technologies and iii) use of analysis tools including R to analyze plant phenotype and -omics data iv) use of common standards for data handling, metadata generation using ontologies and data storage.
The objective of the course series is to provide the participating students with the basic knowledge and understanding of the emerging fields of plant phenomics and data processing that can serve breeding efforts as well as precision agriculture for current and future climate conditions.