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

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 <i>Rht-D1</i> was detected with GWAS for FHB. Including the <i>Rht-D1</i> 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.

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Publication Details

Journal
Frontiers in Plant Science
Published
2024-10-04
DOI
https://doi.org/10.3389/fpls.2024.1454473
Citations
3
Primary Topic
Mycotoxins in Agriculture and Food
Type
article
Field-Weighted Citation Impact
1.80

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article

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

Josef Holzapfel, Franziska Löschenberger, Julio Isidro y Sánchez, Sebastian Michel et al.
3 citations
Frontiers in Plant Science
Mycotoxins in Agriculture and Food
1.80
article

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

Josef Holzapfel, Franziska Löschenberger, Julio Isidro y Sánchez, Sebastian Michel, Fahimeh Shahinnia, Vinay Kumar Reddy Nannuru, Laura Morales, Anton Neumayer, Hubert Kempf, Deniz Akdemir, Hermann Buerstmayr, Morten Lillemo, Melanie Stadlmeier, Lorenz Hartl, A. Girard
article en
3 citations

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 <i>Rht-D1</i> was detected with GWAS for FHB. Including the <i>Rht-D1</i> 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.

Frontiers in Plant ScienceVol. 15
National Marrow Donor Program (US), Agriculture and Agri-Food Canada (CA), Government of Canada (CA), Swedish University of Agricultural Sciences (SE), Bavarian State Research Center for Agriculture (DE), AustriaTech (Austria) (AT), Centre for Plant Biotechnology and Genomics (ES), Norwegian University of Life Sciences (NO), BOKU University (AT)
Bundesministerium für Bildung und Forschung, Norges Forskningsråd, Ministerio de Educación y Formación Profesional, Agencia Estatal de Investigación
Good health and well-being
Openalex Percentile: Top 13%
Mycotoxins in Agriculture and Food
1.80
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