Genome-wide selection by mixed model ridge regression and extensions based on geostatistical models
Open Access
- 31 March 2010
- journal article
- Published by Springer Nature in BMC Proceedings
- Vol. 4 (S1) , S8
- https://doi.org/10.1186/1753-6561-4-s1-s8
Abstract
The success of genome-wide selection (GS) approaches will depend crucially on the availability of efficient and easy-to-use computational tools. Therefore, approaches that can be implemented using mixed models hold particular promise and deserve detailed study. A particular class of mixed models suitable for GS is given by geostatistical mixed models, when genetic distance is treated analogously to spatial distance in geostatistics.Keywords
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