Evidence map›Paper›PMID 25887319›Full record

ArticleBMC genomics2015

Modelling the genetic architecture of flowering time control in barley through nested association mapping.

Andreas Maurer, Vera Draba, Yong Jiang, Florian Schnaithmann, Rajiv Sharma, Erika Schumann, Benjamin Kilian, Jochen Christoph Reif, Klaus Pillen

Abstract read
In one paragraph

Article in BMC genomics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 119 papers.

0numbers the graph read from it
0cells of the map it votes in
119citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

119 citing papers in PubMed.

  1. Article
  2. Haplotype-based nested association mapping for net form net blotch response in Australian barley.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026
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  11. UPLC-ESI-TOF-MS Profiling of Metabolome Alterations in Barley (Journal of agricultural and food chemistry · 2025
    Article
  12. On the origin of the late-flowering ppd-H1 allele in barley.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025
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  14. Review
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  18. Investigating the genetic control of plant development in spring barley under speed breeding conditions.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024
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  19. Article
  20. Article

59 more citing papers are in PubMed but not listed here.

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.

Andreas MaurerInstitute of Agricultural and Nutritional Sciences, Martin Luther University Halle Wittenberg, Betty-Heimann-Str. 3, 06120, Halle, Germany.
Vera DrabaInstitute of Agricultural and Nutritional Sciences, Martin Luther University Halle Wittenberg, Betty-Heimann-Str. 3, 06120, Halle, Germany.
Yong JiangLeibniz-Institute of Plant Genetics and Crop Plant Research (IPK), Corrensstr. 3, 06466, Stadt Seeland, OT Gatersleben, Germany.
Florian SchnaithmannInstitute of Agricultural and Nutritional Sciences, Martin Luther University Halle Wittenberg, Betty-Heimann-Str. 3, 06120, Halle, Germany.
Rajiv SharmaLeibniz-Institute of Plant Genetics and Crop Plant Research (IPK), Corrensstr. 3, 06466, Stadt Seeland, OT Gatersleben, Germany.
Erika SchumannInstitute of Agricultural and Nutritional Sciences, Martin Luther University Halle Wittenberg, Betty-Heimann-Str. 3, 06120, Halle, Germany.
Benjamin KilianLeibniz-Institute of Plant Genetics and Crop Plant Research (IPK), Corrensstr. 3, 06466, Stadt Seeland, OT Gatersleben, Germany.
Jochen Christoph ReifLeibniz-Institute of Plant Genetics and Crop Plant Research (IPK), Corrensstr. 3, 06466, Stadt Seeland, OT Gatersleben, Germany.
Klaus PillenInstitute of Agricultural and Nutritional Sciences, Martin Luther University Halle Wittenberg, Betty-Heimann-Str. 3, 06120, Halle, Germany. klaus.pillen@landw.uni-halle.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBarley, globally the fourth most important cereal, provides food and beverages for humans and feed for animal husbandry. Maximizing grain yield under varying climate conditions largely depends on the optimal timing of flowering. Therefore, regulation of flowering time is of extraordinary importance to meet future food and feed demands. We developed the first barley nested association mapping (NAM) population, HEB-25, by crossing 25 wild barleys with one elite barley cultivar, and used it to dissect the genetic architecture of flowering time.

resultsUpon cultivation of 1,420 lines in multi-field trials and applying a genome-wide association study, eight major quantitative trait loci (QTL) were identified as main determinants to control flowering time in barley. These QTL accounted for 64% of the cross-validated proportion of explained genotypic variance (pG). The strongest single QTL effect corresponded to the known photoperiod response gene Ppd-H1. After sequencing the causative part of Ppd-H1, we differentiated twelve haplotypes in HEB-25, whereof the strongest exotic haplotype accelerated flowering time by 11 days compared to the elite barley haplotype. Applying a whole genome prediction model including main effects and epistatic interactions allowed predicting flowering time with an unmatched accuracy of 77% of cross-validated pG.

conclusionsThe elaborated causal models represent a fundamental step to explain flowering time in barley. In addition, our study confirms that the exotic biodiversity present in HEB-25 is a valuable toolbox to dissect the genetic architecture of important agronomic traits and to replenish the elite barley breeding pool with favorable, trait-improving exotic alleles.

Indexed as

Chromosome MappingGenome, PlantModels, GeneticEpistasis, GeneticFlowersGenetic VariationGenome-Wide Association StudyHaplotypesHordeumLinkage DisequilibriumPolymorphism, Single NucleotideQuantitative Trait Loci

Identifiers

PMID25887319
PMCPMC4426605

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LicenceCC BY
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Registered trials

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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.