Evidence map›Paper›PMID 30456718›Full record

ArticleTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2019

Dissecting the genetics underlying the relationship between protein content and grain yield in a large hybrid wheat population.

Patrick Thorwarth, Guozheng Liu, Erhard Ebmeyer, Johannes Schacht, Ralf Schachschneider, Ebrahim Kazman, Jochen Christoph Reif, Tobias Würschum, Carl Friedrich Horst Longin

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In one paragraph

Article in TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
5.4field-weighted citation impact, top 5% 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

21 citing papers in PubMed, 40 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Characterization of a stable QTL for quality-related traits and its effects on yields in wheat (Triticum aestivum L.).TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025
    Article
  5. Article
  6. Article
  7. Article
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  9. Hybrid wheat: quantitative genetic parameters and heterosis for quality and rheological traits as well as baking volume.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2022
    Review
  10. Do lower nitrogen fertilization levels require breeding of different types of cultivars in triticale?TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2022
    Article
  11. Article
  12. Review
  13. Genomic structural equation modelling provides a whole-system approach for the future crop breeding.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2021
    Article
  14. Article
  15. Article
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  19. Combining grain yield, protein content and protein quality by multi-trait genomic selection in bread wheat.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2019
    Article
  20. Article
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

9 authors at 2 institutions in 1 country.

Patrick ThorwarthState Plant Breeding Institute, University of Hohenheim, 70593, Stuttgart, Germany.ORCID http://orcid.org/0000-0003-4456-2358
Guozheng LiuBASF Agricultural Solutions Seed GmbH, OT Gatersleben, Am Schwabeplan 8, 06466, Seeland, Germany.
Erhard EbmeyerKWS LOCHOW GmbH, 29303, Bergen, Germany.
Johannes SchachtLimagrain GmbH, 31226, Peine-Rosenthal, Germany.
Ralf SchachschneiderNordsaat Saatzuchtgesellschaft mbH, 38895, Langenstein, Germany.
Ebrahim KazmanSyngenta GmbH, 39398, Hadmersleben, Germany.
Jochen Christoph ReifDepartment of Breeding Research, Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), 06466, Gatersleben, Germany.ORCID http://orcid.org/0000-0002-6742-265X
Tobias WürschumState Plant Breeding Institute, University of Hohenheim, 70593, Stuttgart, Germany.ORCID http://orcid.org/0000-0002-7397-7731
Carl Friedrich Horst LonginState Plant Breeding Institute, University of Hohenheim, 70593, Stuttgart, Germany. Friedrich.Longin@uni-hohenheim.de.
University of Hohenheim · DELeibniz-Institut für Pflanzengenetik und Kulturpflanzenforschung (IPK) · DE

Funding

Bundesanstalt für Landwirtschaft und Ernährung FKZ0103010Bundesministerium für Bildung und Forschung (DE) FKZ0315945D
6 · The paper itself

Abstract

key messageAdditive and dominance effect QTL for grain yield and protein content display antagonistic pleiotropic effects, making genomic selection based on the index grain protein deviation a promising method to alleviate the negative correlation between these traits in wheat breeding. Grain yield and quality-related traits such as protein content and sedimentation volume are key traits in wheat breeding. In this study, we used a large population of 1604 hybrids and their 135 parental components to investigate the genetics and metabolomics underlying the negative relationship of grain yield and quality, and evaluated approaches for their joint improvement. We identified a total of nine trait-associated metabolites and show that prediction using genomic data alone resulted in the highest prediction ability for all traits. We dissected the genetic architecture of grain yield and quality-determining traits and show results of the first mapping of the derived trait grain protein deviation. Further, we provide a genetic analysis of the antagonistic relation of grain yield and protein content and dissect the mode of gene action (pleiotropy vs linkage) of identified QTL. Lastly, we demonstrate that the composition of the training set for genomic prediction is crucial when considering different quality classes in wheat breeding.

Indexed as

Chromosome MappingEdible GrainGenetic LinkageGenetic PleiotropyPlant BreedingPlant Proteins, DietaryQuantitative Trait LociSeedsTriticumPlant Proteins, Dietary

Identifiers

PMID30456718
OpenAlexW2901294020

What OpenQuestion holds

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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.