Evidence map›Paper›PMID 37309317›Full record

ArticleMolecular breeding : new strategies in plant improvement2021

InDel marker development and QTL analysis of agronomic traits in mung bean [

Weijun Ye, Yong Yang, Peiran Wang, Yin Zhang, Liya Zhang, Dongfeng Tian, Lei Zhang, Lingling Zhang, Bin Zhou

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Molecular breeding : new strategies in plant improvement, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.7field-weighted citation impact, top 22% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
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

9 authors at 2 institutions in 1 country.

Weijun YeCrop Research Institute, Anhui Academy of Agricultural Sciences, Hefei, 230000 Anhui China.
Yong YangCrop Research Institute, Anhui Academy of Agricultural Sciences, Hefei, 230000 Anhui China.
Peiran WangCrop Research Institute, Anhui Academy of Agricultural Sciences, Hefei, 230000 Anhui China.
Yin ZhangCrop Research Institute, Anhui Academy of Agricultural Sciences, Hefei, 230000 Anhui China.
Liya ZhangCrop Research Institute, Anhui Academy of Agricultural Sciences, Hefei, 230000 Anhui China.
Dongfeng TianCrop Research Institute, Anhui Academy of Agricultural Sciences, Hefei, 230000 Anhui China.
Lei ZhangCrop Research Institute, Anhui Academy of Agricultural Sciences, Hefei, 230000 Anhui China.
Lingling ZhangCrop Research Institute, Anhui Academy of Agricultural Sciences, Hefei, 230000 Anhui China.
Bin ZhouCrop Research Institute, Anhui Academy of Agricultural Sciences, Hefei, 230000 Anhui China.ORCID 0000-0001-8317-779X
Anhui Academy of Agricultural Sciences · CNAnhui Agricultural University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The stem color of young mung bean is a very useful tool in germplasm identification. Flowering time and plant height (PH) are known to be strongly correlated with crop adaption and yield. However, few studies have focused on elucidating the genetic mechanisms that regulate these five particular traits: young stem color (YSC), days to first flowering (DFF), days to maturity (DM), PH, and nodes on the main stem (NMS). In this study, a genetic linkage map for the Supplementary Information: The online version contains supplementary material available at 10.1007/s11032-021-01233-0.

Indexed as

Agronomic traitInDel markerLinkage mapMung beanQTL analysis

Identifiers

PMID37309317
PMCPMC10236061
OpenAlexW3189347888

What OpenQuestion holds

Textmetadata
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.