Genomic selection in hybrid breeding

Yusheng Zhao, Michael F. Mette, Jochen C. Reif*

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

95 Scopus citations


While hybrid breeding is widely applied in outbreeding species, for many self-pollinating crop plants, it has only recently been established. This may have had its reason in the limitations of methods available for hybrid performance prediction, in particular when established heterotic pools were absent. Genomic selection has been suggested as a promising approach to resolve these limitations. In our review, we briefly introduce the principles of genomic selection as an extension of marker-assisted selection using genome-wide high-density molecular marker data and discuss the advantages and limitations of currently used algorithms. Including the outcome from a recent extended approach to hybrid wheat as a timely example, we summarize current progress in empirical studies on the application of genomic selection for prediction of hybrid performance. Here, we put emphasis on the factors affecting the accuracy of prediction, pointing in particular to the relevance of relatedness, genotype x environment interaction and experimental design. Finally, we discuss future research needs and potential applications.

Original languageEnglish (US)
Pages (from-to)1-10
Number of pages10
JournalPlant Breeding
Issue number1
StatePublished - Feb 1 2015
Externally publishedYes


  • BLUP model
  • Bayesian methods
  • Genomic selection
  • Hybrid prediction
  • Ridge-regression BLUP model

ASJC Scopus subject areas

  • Agronomy and Crop Science
  • Genetics
  • Plant Science


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