Evidence map›Paper›PMID 28848588›Full record

ArticleFrontiers in plant science2017

A High-Density Consensus Map of Common Wheat Integrating Four Mapping Populations Scanned by the 90K SNP Array.

Weie Wen, Zhonghu He, Fengmei Gao, Jindong Liu, Hui Jin, Shengnan Zhai, Yanying Qu, Xianchun Xia

Open access · goldAbstract read
In one paragraph

Article in Frontiers in plant science, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed, 1 pooled it
13.7field-weighted citation impact, top 2% 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

50 citing papers in PubMed, 1 synthesis or guideline pooled it, 96 citations in OpenAlex.

  1. Pooled it
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  11. Article
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  15. Review
  16. Article
  17. A Wheat 660 K SNP array-based high-density genetic map facilitates QTL mapping of flag leaf-related traits in wheat.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2023
    Article
  18. Article
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  20. Impact of "Green Revolution" geneFrontiers in plant science · 2023
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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

8 authors at 3 institutions in 1 country.

Weie WenCollege of Agronomy, Xinjiang Agricultural UniversityUrumqi, China.
Zhonghu HeNational Wheat Improvement Center, Institute of Crop Science, Chinese Academy of Agricultural SciencesBeijing, China.
Fengmei GaoCrop Breeding Institute, Heilongjiang Academy of Agricultural SciencesHarbin, China.
Jindong LiuNational Wheat Improvement Center, Institute of Crop Science, Chinese Academy of Agricultural SciencesBeijing, China.
Hui JinNational Wheat Improvement Center, Institute of Crop Science, Chinese Academy of Agricultural SciencesBeijing, China.
Shengnan ZhaiNational Wheat Improvement Center, Institute of Crop Science, Chinese Academy of Agricultural SciencesBeijing, China.
Yanying QuCollege of Agronomy, Xinjiang Agricultural UniversityUrumqi, China.
Xianchun XiaNational Wheat Improvement Center, Institute of Crop Science, Chinese Academy of Agricultural SciencesBeijing, China.
Chinese Academy of Agricultural Sciences · CNInstitute of Crop Sciences · CNXinjiang Agricultural University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A high-density consensus map is a powerful tool for gene mapping, cloning and molecular marker-assisted selection in wheat breeding. The objective of this study was to construct a high-density, single nucleotide polymorphism (SNP)-based consensus map of common wheat (

Indexed as

linkage map constructionmap integrationSNP assaySpearman rank correlation coefficientTriticum aestivum

Identifiers

PMID28848588
PMCPMC5552701
OpenAlexW2742649131

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.