P000145, Genome-wide predictions in plant breeding: genotype-phenotype associations and genomic selection, 3.0 Hp
Print syllabus
Syllabus
Finalized by: Research school Organism Biology, Mattias Thelander chair, 2025-06-23
Valid from : Second half-year 2025 (2025-07-01)
Level
Third cycle
Subject
Biology
Grading Scale
The grade requirements within the course grading system are set out in specific criteria. These criteria must be available by the course start at the latest.
Course language
English
Entry Requirements
Applicants must be enrolled in a PhD program within the biology or related sciences. Basic knowledge of R and command line usage required.
Objectives
After completing the course, the students will be able to:
- Use the acquired theoretical background to design genome-wide predictions in breeding.
- Understand the theory and best practices to run genome-wide association studies.
- Design genomic selection analyses adapted to the species of interest.
Content
This course has been designed for PhD students registered in the Organismal Biology Research School, in collaboration with the SLU breeding network. Experts in plant breeding at our university collaborate to answer: (1) how to associate phenotypes and genotypes and (2) how to accelerate marker-assisted selection in the era of high throughput genome sequencing. Along this course, students will be able to review basic principles of association mapping, study in detail the bioinformatic methods today available, and do extensive hands-on work on pre-designed examples.
Aims of the course:
- The course provides the theoretical and statistical framework to apply in GWAS and Genomic Selection.
- Students will analyse pre-designed datasets, testing different methods and ultimately will design in-silico experiments to apply in their own PhD projects.
Pedagogical form
Dual: on campus and on line.
Lectures: basic concepts of mapping populations, phenotyping, sequencing strategies, statistical models, etc.
Journal club – discussion of papers, from classic to frontier science reports.
Genomics laboratories: students will be challenged with pre-designed data sets and protocols, manageable in personal laptops with free software and libraries.
Time table
Week 1: Theoretical background in breeding
*Breeding strategies *
Breeding for resistance and quality
Breeding and biodiversity
**Week 2: Theory and in silico laboratories. **
Population genetics and quality control of genotype data
Experimental design, models and co-variates
Advanced genome-wide association studies
Best Linear Unbiased Predictor
Factors affecting Genomic Selection
Cross-Validations
Examination Formats and Requirements for Passing the Course
Pass/Fail. Students must attend at least 80% of the theoretical/practical sessions planned during week 2 of the course. A final evaluation will consist of an oral presentation of the results of the genomics laboratories. The course coordinator and selected instructors will assess the quality and content of the presentations.
Responsible Department/Equivalent
Department of Plant Biology
Supplementary information