Evidence map›Paper›PMID 28152092›Full record

ArticlePloS one2017

A Genome-Wide Association Study for Agronomic Traits in Soybean Using SNP Markers and SNP-Based Haplotype Analysis.

Rodrigo Iván Contreras-Soto, Freddy Mora, Marco Antônio Rott de Oliveira, Wilson Higashi, Carlos Alberto Scapim, Ivan Schuster

Abstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 76 papers.

0numbers the graph read from it
0cells of the map it votes in
76citing 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

76 citing papers in PubMed.

  1. Article
  2. Article
  3. A haplotype-layered GWAS identifies a multi-trait grain mold resistance hub on sorghum chromosome 5.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026
    Article
  4. Exploring the potential of naked barley to manage deoxynivalenol accumulation from Fusarium head blight.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026
    Article
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  18. Genome-wide association study of soybean (Frontiers in plant science · 2023
    Article
  19. Review
  20. Review

16 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

6 authors.

Rodrigo Iván Contreras-SotoDepartamento de Agronomia, Universidade Estadual de Maringá, Av. Colombo, Maringá, PR, Brasil.ORCID http://orcid.org/0000-0001-6468-9394
Freddy MoraInstitute of Biological Sciences, University of Talca, Casilla, Talca, Chile.
Marco Antônio Rott de OliveiraCOODETEC, BR, Cascavel, PR, Brasil.
Wilson HigashiCOODETEC, BR, Cascavel, PR, Brasil.
Carlos Alberto ScapimDepartamento de Agronomia, Universidade Estadual de Maringá, Av. Colombo, Maringá, PR, Brasil.
Ivan SchusterDow Agrosciences, Rod. Anhanguera, Cravinhos, SP, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mapping quantitative trait loci through the use of linkage disequilibrium (LD) in populations of unrelated individuals provides a valuable approach for dissecting the genetic basis of complex traits in soybean (Glycine max). The haplotype-based genome-wide association study (GWAS) has now been proposed as a complementary approach to intensify benefits from LD, which enable to assess the genetic determinants of agronomic traits. In this study a GWAS was undertaken to identify genomic regions that control 100-seed weight (SW), plant height (PH) and seed yield (SY) in a soybean association mapping panel using single nucleotide polymorphism (SNP) markers and haplotype information. The soybean cultivars (N = 169) were field-evaluated across four locations of southern Brazil. The genome-wide haplotype association analysis (941 haplotypes) identified eleven, seventeen and fifty-nine SNP-based haplotypes significantly associated with SY, SW and PH, respectively. Although most marker-trait associations were environment and trait specific, stable haplotype associations were identified for SY and SW across environments (i.e., haplotypes Gm12_Hap12). The haplotype block 42 on Chr19 (Gm19_Hap42) was confirmed to be associated with PH in two environments. These findings enable us to refine the breeding strategy for tropical soybean, which confirm that haplotype-based GWAS can provide new insights on the genetic determinants that are not captured by the single-marker approach.

Indexed as

BrazilBreedingChromosome MappingGene-Environment InteractionGenome, PlantGenome-Wide Association StudyGenotypeGlycine maxHaplotypesLinkage DisequilibriumModels, GeneticPhenotypePolymorphism, Single NucleotideQuantitative Trait LociSeeds

Identifiers

PMID28152092
PMCPMC5289539

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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.