Bridging the gap between marker-assisted and genomic selection of heading time and plant height in hybrid wheat

Y. Zhao, Michael Mette, M. Gowda, C. F H Longin, J. C. Reif*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

87 Scopus citations

Abstract

Based on data from field trials with a large collection of 135 elite winter wheat inbred lines and 1604 F 1 hybrids derived from them, we compared the accuracy of prediction of marker-assisted selection and current genomic selection approaches for the model traits heading time and plant height in a cross-validation approach. For heading time, the high accuracy seen with marker-assisted selection severely dropped with genomic selection approaches RR-BLUP (ridge regression best linear unbiased prediction) and BayesCπ, whereas for plant height, accuracy was low with marker-assisted selection as well as RR-BLUP and BayesCπ. Differences in the linkage disequilibrium structure of the functional and single-nucleotide polymorphism markers relevant for the two traits were identified in a simulation study as a likely explanation for the different trends in accuracies of prediction. A new genomic selection approach, weighted best linear unbiased prediction (W-BLUP), designed to treat the effects of known functional markers more appropriately, proved to increase the accuracy of prediction for both traits and thus closes the gap between marker-assisted and genomic selection.

Original languageEnglish (US)
Pages (from-to)638-645
Number of pages8
JournalHeredity
Volume112
Issue number6
DOIs
StatePublished - Jan 1 2014

Keywords

  • genomic selection
  • heading time
  • hybrid wheat
  • marker-assisted selection
  • plant height

ASJC Scopus subject areas

  • Genetics
  • Genetics(clinical)
  • Medicine(all)

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