Evidence map›Paper›PMID 21279625›Full record

ArticleTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2011

Mixed model association scans of multi-environmental trial data reveal major loci controlling yield and yield related traits in Hordeum vulgare in Mediterranean environments.

J Comadran, J R Russell, A Booth, A Pswarayi, S Ceccarelli, S Grando, A M Stanca, N Pecchioni, T Akar, A Al-Yassin and 6 more

Open access · hybridAbstract read
In one paragraph

Article in TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
11.9field-weighted citation impact, top 1% 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

31 citing papers in PubMed, 77 citations in OpenAlex.

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  14. QTL mapping of grain yield and phosphorus efficiency in barley in a Mediterranean-like environment.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2016
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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

16 authors at 9 institutions in 7 countries.

J ComadranSCRI, Invergowrie, Dundee, UK. Comadran.Jordi@scri.ac.uk
J R Russell
A Booth
A Pswarayi
S Ceccarelli
S Grando
A M Stanca
N Pecchioni
T Akar
A Al-Yassin
A Benbelkacem
H Ouabbou
J Bort
F A van Eeuwijk
W T B Thomas
I Romagosa
International Center for Agricultural Research in the Dry Areas · SYUniversitat de Lleida · ESConstantine 1 University · DZIstituto Sperimentale per la Frutticoltura · ITJames Hutton Institute · GBNational School of Business and Management in Settat · MAUniversitat de Barcelona · ESUniversity of Modena and Reggio Emilia · ITWageningen University & Research · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An association panel consisting of 185 accessions representative of the barley germplasm cultivated in the Mediterranean basin was used to localise quantitative trait loci (QTL) controlling grain yield and yield related traits. The germplasm set was genotyped with 1,536 SNP markers and tested for associations with phenotypic data gathered over 2 years for a total of 24 year × location combinations under a broad range of environmental conditions. Analysis of multi-environmental trial (MET) data by fitting a mixed model with kinship estimates detected from two to seven QTL for the major components of yield including 1000 kernel weight, grains per spike and spikes per m(2), as well as heading date, harvest index and plant height. Several of the associations involved SNPs tightly linked to known major genes determining spike morphology in barley (vrs1 and int-c). Similarly, the largest QTL for heading date co-locates with SNPs linked with eam6, a major locus for heading date in barley for autumn sown conditions. Co-localization of several QTL related to yield components traits suggest that major developmental loci may be linked to most of the associations. This study highlights the potential of association genetics to identify genetic variants controlling complex traits.

Indexed as

Models, GeneticPhenotypeQuantitative Trait LociChromosome MappingEnvironmentGenetic MarkersGenetics, PopulationGenetic StructuresGenotypeHordeumMediterranean RegionPolymorphism, Single NucleotideGenetic Markers

Identifiers

PMID21279625
PMCPMC3075395
OpenAlexW2157519400

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.