Evidence map›Paper›PMID 30261061›Full record

ArticlePloS one2018

GWAS analysis in spring barley (Hordeum vulgare L.) for morphological traits exposed to drought.

Mitra Jabbari, Barat Ali Fakheri, Reza Aghnoum, Nafiseh Mahdi Nezhad, Reza Ataei

Abstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

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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

25 citing papers in PubMed.

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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

5 authors.

Mitra JabbariDepartment of Plant Breeding and Biotechnology, Faculty of Agriculture, University of Zabol, Zabol, Sistan and Baluchestan province, Iran.ORCID 0000-0003-4316-4489
Barat Ali FakheriDepartment of Plant Breeding and Biotechnology, Faculty of Agriculture, University of Zabol, Zabol, Sistan and Baluchestan province, Iran.
Reza AghnoumSeed and Plant Improvement Research Department, Khorasan Razavi Agricultural and Natural Resources Research and Education Center, AREEO, Mashhad, Iran.
Nafiseh Mahdi NezhadDepartment of Plant Breeding and Biotechnology, Faculty of Agriculture, University of Zabol, Zabol, Sistan and Baluchestan province, Iran.
Reza AtaeiSeed and Plant Improvement Institute, Agricultural Research, Education and Extension Organization (AREEO), Karaj, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Association analysis based on linkage disequilibrium has become a common and powerful approach for detection of QTLs underlying complex agronomic traits including drought tolerance. To determine marker/trait association, 148 modern European spring barley cultivars were evaluated under drought stress. Associations of morphological traits with AFLP/SSR markers were investigated based on the mixed linear model using the TASSEL3.0. Population structure was estimated using various methods including Bayesian clustering model by STRUCTURE software, PCoA analysis, NJ dendrogram and Hierarchical Clustering. Linkage disequilibrium patterns were explored among the whole genome and each chromosome separately. All the analysis for population structure divided the population into two sub-groups. Linkage disequilibrium analysis showed that by increasing genetic distance, LD decreases. Totally, 167 significant marker trait associations were found which delineated into 65 QTLs in both treatments. Two stable QTLs on 5H at 86.880 cM were detected for Internode Length and on 3H at 126.421 cM for flag leaf length in drought stress treatment. Fourteen QTLs were co-localized with previously reported QTLs and others were novel. The results indicate that these putative genomic regions contain genes that have pleiotropic effects on morphological traits in drought condition.

Indexed as

Linkage DisequilibriumModels, GeneticQuantitative Trait, HeritableSoftwareChromosomes, PlantGenome, PlantGenome-Wide Association StudyHordeumPlant Leaves

Identifiers

PMID30261061
PMCPMC6160164

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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.