A better understanding of variation among plants goes along with increasing the amount and quality of data. In particular, consistent and reliable phenotyping is important to increase the power of genetic studies. The phenotypic data quality comprises the repeatability and reproducibility of the trait measured. Genetwister supports systematic phenotyping, and aims to increase phenotypic consistency by the integration of automated phenotyping. In parallel, Genetwister investigates new methods to integrate phenotypic data into genetic models to support breeding.
Genomic selection (GS) is an alternative to marker-assisted selection, which can accelerate the genetic gain through shorter breeding cycles. Genetwister is implementing new breeding schemes and methods that integrate GS for crop improvement.