%A Liu,Yuan %A Salsman,Evan %A Fiedler,Jason D. %A Hegstad,Justin B. %A Green,Andrew %A Mergoum,Mohamed %A Zhong,Shaobin %A Li,Xuehui %D 2019 %J Frontiers in Plant Science %C %F %G English %K Hard red spring wheat,Fusarium head blight,genome-wide association studies,marker-assisted selection,genomic selection %Q %R 10.3389/fpls.2019.01007 %W %L %M %P %7 %8 2019-August-06 %9 Original Research %# %! Genetic mapping and prediction of FHB resistance in hard red spring wheat %* %< %T Genetic Mapping and Prediction Analysis of FHB Resistance in a Hard Red Spring Wheat Breeding Population %U https://www.frontiersin.org/articles/10.3389/fpls.2019.01007 %V 10 %0 JOURNAL ARTICLE %@ 1664-462X %X Fusarium head blight (FHB) is one of the most destructive diseases in wheat worldwide. Breeding for FHB resistance is hampered by its complex genetic architecture, large genotype by environment interaction, and high cost of phenotype screening. Genomic selection (GS) is a powerful tool to enhance improvement of complex traits such as FHB resistance. The objectives of this study were to (1) investigate the genetic architecture of FHB resistance in a North Dakota State University (NDSU) hard red spring wheat breeding population, (2) test if the major QTL Fhb1 and Fhb5 play an important role in this breeding population; and (3) assess the potential of GS to enhance breeding efficiency of FHB resistance. A total of 439 elite spring wheat breeding lines from six breeding cycles were genotyped using genotyping-by-sequencing (GBS) and 102,147 SNP markers were obtained. Evaluation of FHB severity was conducted in 10 unbalanced field trials across multiple years and locations. One QTL for FHB resistance was identified and located on chromosome arm 1AL, explaining 5.3% of total phenotypic variation. The major type II resistance QTL Fhb1 only explained 3.1% of total phenotypic variation and the QTL Fhb5 was not significantly associated with FHB resistance in this breeding population. Our results suggest that integration of many genes with medium/minor effects in this breeding population should provide stable FHB resistance. Genomic prediction accuracies of 0.22–0.44 were obtained when predicting over breeding cycles in this study, indicating the potential of GS to enhance the improvement of FHB resistance.