Comparing genomic selection and marker-assisted selection for Fusarium head blight resistance in wheat (Triticum aestivum L.)
Autor: | Gina Brown-Guedira, A. M. Krill, Frederic L. Kolb, Yanhong Dong, Patrick J. Brown, Bradley J. Foresman, Marcio Pais de Arruda, Carrie Thurber, Alexander E. Lipka |
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Rok vydání: | 2016 |
Předmět: |
0106 biological sciences
0301 basic medicine Molecular breeding Fusarium Genetics biology Single-nucleotide polymorphism Plant Science Quantitative trait locus Marker-assisted selection biology.organism_classification Random effects model 01 natural sciences Regression 03 medical and health sciences 030104 developmental biology Agronomy and Crop Science Molecular Biology Selection (genetic algorithm) 010606 plant biology & botany Biotechnology |
Zdroj: | Molecular Breeding. 36 |
ISSN: | 1572-9788 1380-3743 |
DOI: | 10.1007/s11032-016-0508-5 |
Popis: | Genomic selection (GS) and marker-assisted selection (MAS) rely on marker–trait associations and are both routinely used for breeding purposes. Although similar, these two approaches differ in their applications and how markers are used to estimate breeding values. In this study, GS and MAS were compared in their ability to predict six traits associated with resistance to a destructive wheat disease, Fusarium head blight (FHB). A panel consisting in 273 soft red winter wheat lines from the US Midwestern and Eastern regions was used in this study. The statistical models for MAS were built using Fhb-1, the best-studied quantitative trait loci (QTL) for FHB resistance, and two sets of QTL: one independently identified by other groups and a newer set identified “in house”. In contrast, genomic selection models relied on 19,992 SNPs distributed throughout the genome. For the MAS and GS models, marker effects were estimated with ordinary least square and ridge regression best unbiased linear prediction, respectively. Intermediate to high values of prediction accuracy (0.4–0.9) were observed for most GS models, with lower values ( |
Databáze: | OpenAIRE |
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