Allows prediction of p genomic estimated breeding values (GEBVs) of individuals. solGS is a web-server that aims to address the bioinformatics and statistical challenge in genomic selection (GS). The software allows breeders to create prediction models and apply the model to predict GEBVs of selection candidates. It is used by the NEXTGEN Cassava project and implemented at the Cassavabase website.
Boyce Thompson Institute for Plant Research, Cornell University, Ithaca, NY, USA; National Root Crops Research Institute (NRCRI), Umudike, Nigeria; International Institute of Tropical Agriculture (IITA), Ibadan, Oyo State, Nigeria; National Crops Resources Research Institute, Kampala, Uganda; USDA-ARS, Robert W. Holley Center for Agriculture and Health, Cornell University, Ithaca, NY, USA
solGS funding source(s)
Supported by the NEXTGEN Cassava project, through a grant to Cornell University by the Bill & Melinda Gates Foundation and the UK Department for International Development.