Sparse testing using genomic prediction improves selection for breeding targets in elite spring wheat.

ABSTRACT:

Key message

Sparse testing using genomic prediction can be efficiently used to increase the number of testing environments while maintaining selection intensity in the early yield testing stage without increasing the breeding budget. Sparse testing using genomic prediction enables expanded use of selection environments in early-stage yield testing without increasing phenotyping cost. We evaluated different sparse testing strategies in the yield testing stage of a CIMMYT spring wheat breeding pipeline characterized by multiple populations each with small family sizes of 1-9 individuals. Our results indicated that a substantial overlap between lines across environments should be used to achieve optimal prediction accuracy. As sparse testing leverages information generated within and

SUBMITTER: Atanda SA 

PROVIDER: S-EPMC9205816 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature