Evidence map›Paper›PMID 36082291›Full record

ArticleFrontiers in plant science2022

Linkage mapping and association analysis to identify a reliable QTL for stigma exsertion rate in rice.

Yi Liu, Dong Fu, Deyan Kong, Xiaosong Ma, Anning Zhang, Feiming Wang, Lei Wang, Hui Xia, Guolan Liu, Xinqiao Yu and 1 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in plant science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.5field-weighted citation impact, top 16% 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

8 citing papers in PubMed, 8 citations in OpenAlex.

  1. Improvement of the outcrossing ability of CMS lines by pyramiding QTLs for SER.Molecular breeding : new strategies in plant improvement · 2025
    Article
  2. Article
  3. Review
  4. Four QTLs control stigma exsertion rate by changing stigma size in rice.Molecular breeding : new strategies in plant improvement · 2024
    Article
  5. Article
  6. Review
  7. Article
  8. Review
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

11 authors at 3 institutions in 1 country.

Yi LiuShanghai Agrobiological Gene Center, Shanghai, China.
Dong FuState Key Laboratory of Biocatalysis and Enzyme Engineering, School of Life Sciences, Hubei University, Wuhan, China.
Deyan KongShanghai Agrobiological Gene Center, Shanghai, China.
Xiaosong MaShanghai Agrobiological Gene Center, Shanghai, China.
Anning ZhangShanghai Agrobiological Gene Center, Shanghai, China.
Feiming WangShanghai Agrobiological Gene Center, Shanghai, China.
Lei WangShanghai Agrobiological Gene Center, Shanghai, China.
Hui XiaShanghai Agrobiological Gene Center, Shanghai, China.
Guolan LiuShanghai Agrobiological Gene Center, Shanghai, China.
Xinqiao YuShanghai Agrobiological Gene Center, Shanghai, China.
Lijun LuoShanghai Agrobiological Gene Center, Shanghai, China.
Ministry of Agriculture and Rural Affairs · CNShanghai Agrobiological Gene Center · CNHubei University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The commercialization of hybrid rice has greatly contributed to the increase in rice yield, with the improvement of its seed production capacity having played an important role. The stigma exsertion rate (SER) is a key factor for improving the outcrossing of the sterile line and the hybrid rice seed production. We used the Zhenshan 97B × IRAT109 recombinant inbred population comprising 163 lines and a natural population of 138 accessions to decipher the genetic foundation of SER over 2 years in three environments. Additionally, we detected eight QTLs for SER on chromosomes 1, 2, and 8 via linkage mapping. We also identified seven and 19 significant associations for SER using genome-wide association study in 2016 and 2017, respectively. Interestingly, we located two lead SNPs (sf0803343504 and sf083344610) on chromosome 8 in the

Indexed as

genome-wide association study (GWAS)quantitative trait locus (QTL)ricestigma exsertion rate (SER)transcriptome analysis

Identifiers

PMID36082291
PMCPMC9445662
OpenAlexW4292716452

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.