Background Cross-validation tools are used increasingly to validate and compare genetic
evaluation methods but analytical properties of cross-validation methods are rarely …

Accurate prediction of complex traits requires using a large number of DNA variants.
Advances in statistical and machine learning methodology enable the identification of …

The BGLR-R package implements various types of single-trait shrinkage/variable selection
Bayesian regressions. The package was first released in 2014, since then it has become a …

In plant and animal breeding, genomic prediction models are established to select new lines
based on genomic data, without the need for laborious phenotyping. Prediction models can …

Key message Large genetic improvement can be achieved by simultaneous genomic
selection for grain yield and protein content when combining different breeding strategies in …

The development of strawberry (Fragaria× ananassa Duchesne ex Rozier) cultivars resistant
to Phytophthora crown rot (PhCR), a devastating disease caused by the soil‐borne …

Potato (Solanum tuberosum) is a staple food crop and is considered one of the main
sources of carbohydrates worldwide. Late blight (Phytophthora infestans) and common scab …

In wheat breeding, it is a difficult task to select the most suitable parents for making crosses
aimed at the improvement of both grain yield and grain quality. By quantitative genetics …

A crucial step in plant breeding is the selection and combination of parents to form new
crosses. Genome-based prediction guides the selection of high-performing parental lines in …

The implementation of genomic selection in recurrent breeding programs raises the concern
that a higher inbreeding rate could compromise the long-term genetic gain. An optimized …