Genomic selection in hybrid breeding

Yusheng Zhao, Michael Mette, Jochen C. Reif*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

59 Scopus citations

Abstract

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
Volume134
Issue number1
DOIs
StatePublished - Feb 1 2015

Keywords

  • 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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