Evidence map›Paper›PMID 40549197›Full record

SynthesisTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2025

New loci and candidate genes in spring two-rowed barley detected through meta-analysis of a field trial European network.

Francesc Montardit-Tarda, Ana M Casas, William T B Thomas, Florian Schnaithmann, Rajiv Sharma, Salar Shaaf, Chiara Campoli, Joanne Russell, Luke Ramsay, Micha M Bayer and 15 more

Abstract readMeta-Analysis
In one paragraph

Synthesis in TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 2025. 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
  2. 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

25 authors.

Francesc Montardit-TardaEstación Experimental de Aula Dei-Consejo Superior de Investigaciones Científicas (EEAD-CSIC), Avenida Montañana 1005, 500059, Saragossa, Spain.
Ana M CasasEstación Experimental de Aula Dei-Consejo Superior de Investigaciones Científicas (EEAD-CSIC), Avenida Montañana 1005, 500059, Saragossa, Spain.
William T B ThomasJames Hutton Institute, Errol Road, Invergowrie, Dundee, DD2 5DA, UK.
Florian SchnaithmannMartin-Luther-University Halle-Wittenberg, Betty-Heimann-Str. 3, 06120, Halle (Saale), Germany.
Rajiv SharmaLeibniz Institute of Plant Genetics and Crop Plant Research (IPK), Corrensstrasse 3, 06466, Gatersleben, Germany.
Salar ShaafLeibniz Institute of Plant Genetics and Crop Plant Research (IPK), Corrensstrasse 3, 06466, Gatersleben, Germany.
Chiara CampoliJames Hutton Institute, Errol Road, Invergowrie, Dundee, DD2 5DA, UK.
Joanne RussellJames Hutton Institute, Errol Road, Invergowrie, Dundee, DD2 5DA, UK.
Luke RamsayJames Hutton Institute, Errol Road, Invergowrie, Dundee, DD2 5DA, UK.
Micha M BayerJames Hutton Institute, Errol Road, Invergowrie, Dundee, DD2 5DA, UK.
Stefano DelbonoCouncil for Agricultural Research and Economics (CREA), Research Centre for Genomics and Bioinformatics, Via San Protaso 302, 29017, Fiorenzuola d'Arda, Italy.
Marko JääskeläinenInstitute of Biotechnology, University of Helsinki, 00014, Helsinki, Finland.
Maitry PaulInstitute of Biotechnology, University of Helsinki, 00014, Helsinki, Finland.
Frederick L StoddardViikki Plant Sciences Centre, University of Helsinki, 00014, Helsinki, Finland.
Andrea VisioniInternational Center for Agricultural Research in the Dry Areas (ICARDA), 10100, Rabat, Morocco.
Andrew J FlavellDundee University at SCRI, Invergowrie, Dundee, DD2 5DA, UK.
Klaus PillenMartin-Luther-University Halle-Wittenberg, Betty-Heimann-Str. 3, 06120, Halle (Saale), Germany.
Benjamin KilianLeibniz Institute of Plant Genetics and Crop Plant Research (IPK), Corrensstrasse 3, 06466, Gatersleben, Germany.
Andreas GranerLeibniz Institute of Plant Genetics and Crop Plant Research (IPK), Corrensstrasse 3, 06466, Gatersleben, Germany.
Laura RossiniUniversità Degli Studi Di Milano, Via Celoria 2, 20133, Milan, Italy.
Robbie WaughJames Hutton Institute, Errol Road, Invergowrie, Dundee, DD2 5DA, UK.
Luigi CattivelliCouncil for Agricultural Research and Economics (CREA), Research Centre for Genomics and Bioinformatics, Via San Protaso 302, 29017, Fiorenzuola d'Arda, Italy.
Alan H SchulmanInstitute of Biotechnology, University of Helsinki, 00014, Helsinki, Finland.
Alessandro TondelliCouncil for Agricultural Research and Economics (CREA), Research Centre for Genomics and Bioinformatics, Via San Protaso 302, 29017, Fiorenzuola d'Arda, Italy.
Ernesto IgartuaEstación Experimental de Aula Dei-Consejo Superior de Investigaciones Científicas (EEAD-CSIC), Avenida Montañana 1005, 500059, Saragossa, Spain. igartua@eead.csic.es.ORCID http://orcid.org/0000-0003-2938-1719

Funding

Departamento de Educación, Cultura y Deporte, Gobierno de Aragón A08_20RDepartamento de Educación, Cultura y Deporte, Gobierno de Aragón A08_23RDepartamento de Educación, Cultura y Deporte, Gobierno de Aragón PREDOCTORAL CONTRACT 2019-2023ERA-PG EXBARDIVFACCE ERA-NET CLIMBARFundación General CSIC LINKB20052SUSCROP ERA-NET BARISTA
6 · The paper itself

Abstract

key messageA dense genome-wide meta-analysis provides new QTLs, reveals breeding history trends and identifies new candidate genes for yield, plant height, grain weight, and heading time of spring barley. This study contributes new knowledge on quantitative trait loci (QTLs) and candidate genes for adaptive traits and yield in two-rowed spring barley. A meta-analysis of a network of field trials, varying in latitude and sowing date, with 151 cultivars across several European countries, increased QTL detection power compared to single-trial analyses. The traits analysed were heading date (HD), plant height (PH), thousand-grain weight (TGW), and grain yield (GY). Breaking down the analysis by the main genotype-by-environment trends revealed QTLs and candidate genes specific to conditions like sowing date and latitude. A historical look on the evolution of QTL frequencies revealed that early selection focused on PH and TGW, likely due to their high heritability. GY selection occurred later, facilitated by reduced variance in other traits. The study observed that favourable alleles for plant height were often fixed before those for grain yield and TGW. Some regions showed linkage in repulsion, suggesting targets for future breeding. Several candidate genes were identified, including known genes and new candidates based on orthology with rice. Remarkably, the deficiens allele of gene Vrs1 appears associated with higher GY. These findings provide valuable insights for barley breeders aiming to improve yield and other agronomic traits.

Indexed as

Genes, PlantHordeumQuantitative Trait LociChromosome MappingEuropeGenotypePhenotypePlant Breeding

Identifiers

PMID40549197
PMCPMC12185650

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.