Morales, Laura
- Department of Forest Genetics and Plant Physiology, Swedish University of Agricultural Sciences
Research article2024Peer reviewedOpen access
Morales, Laura; Akdemir, Deniz; Girard, Anne-Laure; Neumayer, Anton; Nannuru, Vinay Kumar Reddy; Shahinnia, Fahimeh; Stadlmeier, Melanie; Hartl, Lorenz; Holzapfel, Josef; Isidro-Sanchez, Julio; Kempf, Hubert; Lillemo, Morten; Loschenberger, Franziska; Michel, Sebastian; Buerstmayr, Hermann
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.
wheat; Fusarium head blight; genomic prediction; trait covariates; Rht-D1; GWAS; GBLUP
Frontiers in Plant Science
2024, volume: 15, article number: 1454473
Publisher: FRONTIERS MEDIA SA
SLU Plant Protection Network
Agricultural Science
https://res.slu.se/id/publ/133146