Extension of the bayesian alphabet for genomic selection

20111,266 citationsJournal Articlegold Open Access

Authors

Rohan L. Fernando · Iowa State University

Abstract

Collectively, accounting for computing effort, uncertainty as to the number of QTL (which affects the GEBV accuracy of alternative methods), and fundamental interest in the number of QTL underlying quantitative traits, we believe that BayesCπ has merit for routine applications.

Topics & Keywords

Genetic and phenotypic traits in livestock Genetic Mapping and Diversity in Plants and Animals Genetics and Plant Breeding

Publication Details

Published in: BMC Bioinformatics

Volume 12, Issue 1, pp. 186-186

DOI: 10.1186/1471-2105-12-186

Field-Weighted Citation Impact: 39.06

Command Palette

Extension of the bayesian alphabet for genomic selection

Authors

Abstract

Topics & Keywords

Publication Details