Genomic selection (GS) is an advanced breeding technique that utilises a densely genotyped and accurately phenotyped training population to simultaneously predict breeding value of a breeding population based on its genotype. This approach improves breeding efficacy by reducing confounding environmental variables, allowing strong selection on difficult to phenotype traits and reducing the duration of the breeding cycle.
I am interested in deploying GS in a commercial strawberry breeding programme based here at NIAB EMR. My project is broadly split into 4 themes:
- Developing a high throughput semi-automated strawberry phenotyping pipeline
- Developing a cost-effective, scalable genotyping system suitable for a breeding population
- Investigation into statistical techniques for GS using a bi-parental strawberry mapping population
- Deployment and validation of GS in a commercial strawberry breeding population
- Cockerton, H.M., Vickerstaff, R.J., Karlstrӧm, A., Wilson, F., Sobczyk, M., He, J.Q.. (2018). Identification of powdery mildew resistance QTL in strawberry (Fragaria x ananassa). Theoretical and Applied Genetics,. 131(9), pp. 1995-2007.
- Joe Q He, Richard J Harrison, Bo Li. (2017). A novel 3D imaging system for strawberry phenotyping Plant Methods. 13:1,93.