The power of genomic estimated breeding values for selection when using a finite population size in genetic improvement of tetraploid potato.

ABSTRACT: Potato breeding relies heavily on visual phenotypic scoring for clonal selection. Obtaining robust phenotypic data can be labor intensive and expensive, especially in the early cycles of a potato breeding program where the number of genotypes is very large. We have investigated the power of genomic estimated breeding values (GEBVs) for selection from a limited population size in potato breeding. We collected genotypic data from 669 tetraploid potato clones from all cycles of a potato breeding program, as well as phenotypic data for eight important breeding traits. The genotypes were partitioned into a training and a test population distinguished by cycle of selection in the breeding program. GEBVs for seven traits were predicted for individuals from the first stage of the breeding program

SUBMITTER: Selga C 

PROVIDER: S-EPMC8728039 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature