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solGS

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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.

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solGS classification

solGS specifications

Interface:
Web user interface
Computer skills:
Basic
Maintained:
Yes
Restrictions to use:
None
Stability:
Stable

solGS support

Maintainers

  • Isaak Tecle <>
  • Lukas Mueller <>

Credits

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Publications

Institution(s)

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

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.

Link to literature

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