Evidence map›Paper›PMID 25388142›Full record

ArticleHeredity2015

Potential and limits to unravel the genetic architecture and predict the variation of Fusarium head blight resistance in European winter wheat (Triticum aestivum L.).

Y Jiang, Y Zhao, B Rodemann, J Plieske, S Kollers, V Korzun, E Ebmeyer, O Argillier, M Hinze, J Ling and 4 more

Open access · bronzeAbstract read
In one paragraph

Article in Heredity, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
8.9field-weighted citation impact, top 3% of its field
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

34 citing papers in PubMed, 65 citations in OpenAlex.

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  10. Germplasms, genetics and genomics for better control of disastrous wheat Fusarium head blight.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2020
    Review
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  17. Evaluation of Genomic Prediction for Pasmo Resistance in Flax.International journal of molecular sciences · 2019
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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

14 authors at 2 institutions in 1 country.

Y JiangDepartment of Cytogenetics and Genome Analysis, Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Gatersleben, Germany.
Y ZhaoDepartment of Cytogenetics and Genome Analysis, Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Gatersleben, Germany.
B RodemannJulius Kühn Institute, Braunschweig, Germany.
J PlieskeTraitGenetics GmbH, Gatersleben, Germany.
S KollersKWS Lochow GmbH, Bergen, Germany.
V KorzunKWS Lochow GmbH, Bergen, Germany.
E EbmeyerKWS Lochow GmbH, Bergen, Germany.
O ArgillierSyngenta Seeds S.A.S., Orgerus, France.
M HinzeSyngenta Seeds GmbH, Bad Salzuflen, Germany.
J LingDepartment of Cytogenetics and Genome Analysis, Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Gatersleben, Germany.
M S RöderDepartment of Cytogenetics and Genome Analysis, Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Gatersleben, Germany.
M W GanalTraitGenetics GmbH, Gatersleben, Germany.
M F MetteDepartment of Cytogenetics and Genome Analysis, Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Gatersleben, Germany.
J C ReifDepartment of Cytogenetics and Genome Analysis, Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Gatersleben, Germany.
Leibniz Institute of Plant Genetics and Crop Plant Research · DEJulius Kühn-Institut · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genome-wide mapping approaches in diverse populations are powerful tools to unravel the genetic architecture of complex traits. The main goals of our study were to investigate the potential and limits to unravel the genetic architecture and to identify the factors determining the accuracy of prediction of the genotypic variation of Fusarium head blight (FHB) resistance in wheat (Triticum aestivum L.) based on data collected with a diverse panel of 372 European varieties. The wheat lines were phenotyped in multi-location field trials for FHB resistance and genotyped with 782 simple sequence repeat (SSR) markers, and 9k and 90k single-nucleotide polymorphism (SNP) arrays. We applied genome-wide association mapping in combination with fivefold cross-validations and observed surprisingly high accuracies of prediction for marker-assisted selection based on the detected quantitative trait loci (QTLs). Using a random sample of markers not selected for marker-trait associations revealed only a slight decrease in prediction accuracy compared with marker-based selection exploiting the QTL information. The same picture was confirmed in a simulation study, suggesting that relatedness is a main driver of the accuracy of prediction in marker-assisted selection of FHB resistance. When the accuracy of prediction of three genomic selection models was contrasted for the three marker data sets, no significant differences in accuracies among marker platforms and genomic selection models were observed. Marker density impacted the accuracy of prediction only marginally. Consequently, genomic selection of FHB resistance can be implemented most cost-efficiently based on low- to medium-density SNP arrays.

Indexed as

FusariumQuantitative Trait LociBreedingDisease ResistanceGenetic Association StudiesGenetic MarkersGenotypeLinear ModelsMicrosatellite RepeatsModels, GeneticPhenotypePlant DiseasesPolymorphism, Single NucleotideSelection, GeneticTriticumGenetic Markers

Identifiers

PMID25388142
PMCPMC4815577
OpenAlexW2016201519

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.