Evidence map›Paper›PMID 39430891›Full record

ArticleFrontiers in plant science2024

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

Laura Morales, Deniz Akdemir, Anne-Laure Girard, Anton Neumayer, Vinay Kumar Reddy Nannuru, Fahimeh Shahinnia, Melanie Stadlmeier, Lorenz Hartl, Josef Holzapfel, Julio Isidro-Sánchez and 5 more

Abstract read
In one paragraph

Article in Frontiers in plant science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Laura MoralesDepartment of Forest Genetics and Plant Physiology, Swedish University of Agricultural Sciences, Umeå, Sweden.
Deniz AkdemirCenter for International Blood and Marrow Transplant Research, National Marrow Donor Program/Be The Match, Minneapolis, MN, United States.
Anne-Laure GirardInstitute of Biotechnology in Plant Production, Department of Agrobiotechnology, University of Natural Resources and Life Sciences Vienna, Tulln an der Donau, Austria.
Anton NeumayerSaatzucht Donau GmbH & CoKG, Reichersberg, Austria.
Vinay Kumar Reddy NannuruDepartment of Plant Sciences, Norwegian University of Life Sciences, Ås, Norway.
Fahimeh ShahinniaInstitute for Crop Science and Plant Breeding, Bavarian State Research Center for Agriculture, Freising, Germany.
Melanie StadlmeierSaatzucht Donau GmbH & CoKG, Reichersberg, Austria.
Lorenz HartlInstitute for Crop Science and Plant Breeding, Bavarian State Research Center for Agriculture, Freising, Germany.
Josef HolzapfelSecobra Saatzucht GmbH, Moosburg an der Isar, Germany.
Julio Isidro-SánchezDepartment of Biotechnology and Plant Biology - Centre for Biotechnology and Plant Genomics - Universidad Politécnica de Madrid, Madrid, Spain.
Hubert KempfSecobra Saatzucht GmbH, Moosburg an der Isar, Germany.
Morten LillemoDepartment of Plant Sciences, Norwegian University of Life Sciences, Ås, Norway.
Franziska LöschenbergerSaatzucht Donau GmbH & CoKG, Probstdorf, Austria.
Sebastian MichelInstitute of Biotechnology in Plant Production, Department of Agrobiotechnology, University of Natural Resources and Life Sciences Vienna, Tulln an der Donau, Austria.
Hermann BuerstmayrInstitute of Biotechnology in Plant Production, Department of Agrobiotechnology, University of Natural Resources and Life Sciences Vienna, Tulln an der Donau, Austria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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

Indexed as

Fusarium head blightGBLUPgenomic predictionGWASRht-D1trait covariateswheat

Identifiers

PMID39430891
PMCPMC11486744

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.