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Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
biochemistry, genetics and molecular biology
Bridging the gap between marker-assisted and genomic selection of heading time and plant height in hybrid wheat
Heredity, Volume 112, No. 6, Year 2014
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Description
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. © 2014 Macmillan Publishers Limited All rights reserved.
Authors & Co-Authors
Zhao, Yusheng
Germany, Gatersleben
Leibniz-institut Für Pflanzengenetik Und Kulturpflanzenforschung
Mette, Michael Florian
Germany, Gatersleben
Leibniz-institut Für Pflanzengenetik Und Kulturpflanzenforschung
Gowda, Manje S.
Germany, Stuttgart
Universität Hohenheim
Kenya, Nairobi
International Maize and Wheat Improvement Center Cimmyt
Longin, Carl Friedrich Horst
Germany, Stuttgart
Universität Hohenheim
Reif, Jochen C.
Germany, Gatersleben
Leibniz-institut Für Pflanzengenetik Und Kulturpflanzenforschung
Statistics
Citations: 135
Authors: 5
Affiliations: 3
Identifiers
Doi:
10.1038/hdy.2014.1
ISSN:
0018067X