Evidence map›Paper›PMID 29967054›Full record

ArticleG3 (Bethesda, Md.)2018

Genome-Wide Association and Regional Heritability Mapping of Plant Architecture, Lodging and Productivity in

Rafael T Resende, Marcos Deon V de Resende, Camila F Azevedo, Fabyano Fonseca E Silva, Leonardo C Melo, Helton S Pereira, Thiago Lívio P O Souza, Paula Arielle M R Valdisser, Claudio Brondani, Rosana Pereira Vianello

Abstract read
In one paragraph

Article in G3 (Bethesda, Md.), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
–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

17 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

10 authors.

Rafael T ResendeDepartment of Forestry.
Marcos Deon V de ResendeDepartment of Forestry.
Camila F AzevedoDepartment of Statistics, Universidade Federal de Viçosa, Viçosa, MG 36570-000, Brazil.
Fabyano Fonseca E SilvaDepartment of Animal Science, Universidade Federal de Viçosa, Viçosa, MG 36570-000, Brazil.
Leonardo C MeloCommon Bean Breeding Program.
Helton S PereiraCommon Bean Breeding Program.
Thiago Lívio P O SouzaCommon Bean Breeding Program.
Paula Arielle M R ValdisserLaboratory of Biotechnology, EMBRAPA Arroz e Feijão, Santo Antônio de Goiás, GO 75375-000, Brazil.
Claudio BrondaniLaboratory of Biotechnology, EMBRAPA Arroz e Feijão, Santo Antônio de Goiás, GO 75375-000, Brazil.
Rosana Pereira VianelloLaboratory of Biotechnology, EMBRAPA Arroz e Feijão, Santo Antônio de Goiás, GO 75375-000, Brazil rosana.vianello@embrapa.br.ORCID 0000-0003-0644-5652

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The availability of high-density molecular markers in common bean has allowed to explore the genetic basis of important complex agronomic traits with increased resolution. Genome-Wide Association Studies (GWAS) and Regional Heritability Mapping (RHM) are two analytical approaches for the detection of genetic variants. We carried out GWAS and RHM for plant architecture, lodging and productivity across two important growing environments in Brazil in a germplasm of 188 common bean varieties using DArTseq genotyping strategies. The coefficient of determination of G × E interaction (c

Indexed as

Chromosome MappingGenome-Wide Association StudyInheritance PatternsQuantitative Trait, HeritableAlgorithmsAllelesGene Expression Regulation, PlantGenetic MarkersGenomicsGenotypeLinkage DisequilibriumModels, GeneticPhaseolusPhenotypeQuantitative Trait LociGenetic MarkersCommon beansDArTseqGWAS QTLHeritabilityRHM QTL

Identifiers

PMID29967054
PMCPMC6071601

What OpenQuestion holds

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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.