Strategies Using Genomic Selection to Increase Genetic Gain in Breeding Programs for Wheat

Biructawit Bekele Tessema*, Huiming Liu, Anders Christian Sørensen, Jeppe Reitan Andersen, Just Jensen

*Corresponding author for this work

Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaperJournal articleResearchpeer-review

30 Citations (Scopus)

Abstract

Conventional wheat-breeding programs involve crossing parental lines and subsequent selfing of the offspring for several generations to obtain inbred lines. Such a breeding program takes more than 8 years to develop a variety. Although wheat-breeding programs have been running for many years, genetic gain has been limited. However, the use of genomic information as selection criterion can increase selection accuracy and that would contribute to increased genetic gain. The main objective of this study was to quantify the increase in genetic gain by implementing genomic selection in traditional wheat-breeding programs. In addition, we investigated the effect of genetic correlation between different traits on genetic gain. A stochastic simulation was used to evaluate wheat-breeding programs that run simultaneously for 25 years with phenotypic or genomic selection. Genetic gain and genetic variance of wheat-breeding program based on phenotypes was compared to the one with genomic selection. Genetic gain from the wheat-breeding program based on genomic estimated breeding values (GEBVs) has tripled compared to phenotypic selection. Genomic selection is a promising strategy for improving genetic gain in wheat-breeding programs.

Original languageEnglish
Article number578123
JournalFrontiers in Genetics
Volume11
Number of pages12
ISSN1664-8021
DOIs
Publication statusPublished - 4 Dec 2020

Keywords

  • genetic correlation
  • genetic gain
  • genomic selection
  • stochastic simulation
  • wheat

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