The identification of marker-trait associations is instrumental in the development of breeding lines comprising favorable genetic variation. We use advanced statistical models based on Bayesian statistics to optimize association analyses that integrate and combine multi-environment trials and time-series with genetic variation of germplasm collections characterized by a large number of markers.
Lab automation
With increasing sample numbers comes the need for automating the most valuable and most often applied protocols at Genetwister.