1. Leveraging trait and QTL covariates to improve genomic prediction of resistance to Fusarium head blight in Central European winter wheat.
- Author
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Morales, Laura, Akdemir, Deniz, Girard, Anne-Laure, Neumayer, Anton, Reddy Nannuru, Vinay Kumar, Shahinnia, Fahimeh, Stadlmeier, Melanie, Hartl, Lorenz, Holzapfel, Josef, Isidro-Sánchez, Julio, Kempf, Hubert, Lillemo, Morten, Löschenberger, Franziska, Michel, Sebastian, and Buerstmayr, Hermann
- Abstract
Fusarium head blight (FHB) is a devastating disease of wheat, causing yield losses, reduced grain quality, and mycotoxin contamination. Breeding can mitigate the severity of FHB epidemics, especially with genomics-assisted methods. The mechanisms underlying resistance to FHB in wheat have been extensively studied, including phenological traits and genome-wide markers associated with FHB severity. Here, we aimed to improve genomic prediction for FHB resistance across breeding programs by incorporating FHB-correlated traits and FHB-associated loci as model covariates. We combined phenotypic data on FHB severity, anthesis date, and plant height with genome-wide marker data from five Central European winter wheat breeding programs for genome-wide association studies (GWAS) and genomic prediction. Within all populations, FHB was correlated with anthesis date and/or plant height, and a marker linked to the semi-dwarfing locus Rht-D1 was detected with GWAS for FHB. Including the Rht-D1 marker, anthesis date, and/or plant height as covariates in genomic prediction modeling improved prediction accuracy not only within populations but also in cross-population scenarios. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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