Leveraging trait and QTL covariates to improve genomic prediction of resistance to Fusarium head blight in Central European winter wheat

Sammanfattning

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.

Nyckelord

wheat; Fusarium head blight; genomic prediction; trait covariates; Rht-D1; GWAS; GBLUP

Publicerad i

Frontiers in Plant Science
2024, volym: 15, artikelnummer: 1454473
Utgivare: FRONTIERS MEDIA SA

SLU författare

• Morales, Laura

  • Institutionen för skoglig genetik och växtfysiologi, Sveriges lantbruksuniversitet
    

Associerade SLU-program

SLU Nätverk växtskydd

UKÄ forskningsämne

Jordbruksvetenskap

Publikationens identifierare

• DOI: https://doi.org/10.3389/fpls.2024.1454473

Permanent länk till denna sida (URI)

https://res.slu.se/id/publ/133146