Evidence map›Paper›PMID 29398937›Full record

ArticleBreeding science2017

Genome-wide association mapping for flowering and maturity in tropical soybean: implications for breeding strategies.

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

Open access · diamondAbstract read
In one paragraph

Article in Breeding science, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
5.1field-weighted citation impact, top 5% 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

10 citing papers in PubMed, 18 citations in OpenAlex.

  1. Fine mapping and candidate gene analysis of qPH19.1, a locus for soybean (Glycine max L.) plant height.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026
    Article
  2. Article
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  4. Construction of prediction models for growth traits of soybean cultivars based on phenotyping in diverse genotype and environment combinations.DNA research : an international journal for rapid publication of reports on genes and genomes · 2022
    Article
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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

6 authors at 3 institutions in 3 countries.

Rodrigo Iván Contreras-SotoDepartamento de Agronomia, Universidade Estadual de Maringá, Av. Colombo, 5790, Maringá PR, 87020-900, Brazil.
Freddy MoraInstitute of Biological Sciences, University of Talca, Talca, 3460000, Chile.
Fabiane LazzariDow Agrosciences, Rod. Anhanguera S/N Km 330, Cravinhos SP, 14140-000, Brazil.
Marco Antônio Rott de OliveiraCOODETEC, BR 467 km 98, 85813-450, Cascavel, PR, Brazil.
Carlos Alberto ScapimDepartamento de Agronomia, Universidade Estadual de Maringá, Av. Colombo, 5790, Maringá PR, 87020-900, Brazil.
Ivan SchusterDow Agrosciences, Rod. Anhanguera S/N Km 330, Cravinhos SP, 14140-000, Brazil.
Instituto de Estudios Avanzados · VEUniversidade Estadual de Maringá · BRUniversity of Talca · CL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Knowledge of the genetic architecture of flowering and maturity is needed to develop effective breeding strategies in tropical soybean. The aim of this study was to identify haplotypes across multiple environments that contribute to flowering time and maturity, with the purpose of selecting desired alleles, but maintaining a minimal impact on yield-related traits. For this purpose, a genome-wide association study (GWAS) was undertaken to identify genomic regions that control days to flowering (DTF) and maturity (DTM) using a soybean association mapping panel genotyped for single nucleotide polymorphism (SNP) markers. Complementarily, yield-related traits were also assessed to discuss the implications for breeding strategies. To detect either stable or specific associations, the soybean cultivars (N = 141) were field-evaluated across eight tropical environments of Brazil. Seventy-two and forty associations were significant at the genome-wide level relating respectively to DTM and DTF, in two or more environments. Haplotype-based GWAS identified three haplotypes (Gm12_Hap12; Gm19_Hap42 and Gm20_Hap32) significantly co-associated with DTF, DTM and yield-related traits in single and multiple environments. These results indicate that these genomic regions may contain genes that have pleiotropic effects on time to flowering, maturity and yield-related traits, which are tightly linked with multiple other genes with high rates of linkage disequilibrium.

Indexed as

linkage disequilibriumpleiotropyquantitative trait locitropical soybean

Identifiers

PMID29398937
PMCPMC5790042
OpenAlexW2770018920

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.