Evidence map›Paper›PMID 35923872›Full record

ArticleFrontiers in plant science2022

Fine mapping and target gene identification of

Naihui Guo, Yakun Wang, Wei Chen, Shengjia Tang, Ruihu An, Xiangjin Wei, Shikai Hu, Shaoqing Tang, Gaoneng Shao, Guiai Jiao and 4 more

Abstract 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 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Improvement of the outcrossing ability of CMS lines by pyramiding QTLs for SER.Molecular breeding : new strategies in plant improvement · 2025
    Article
  5. Article
  6. Review
  7. Four QTLs control stigma exsertion rate by changing stigma size in rice.Molecular breeding : new strategies in plant improvement · 2024
    Article
  8. Article
  9. Auxin regulation on crop: from mechanisms to opportunities in soybean breeding.Molecular breeding : new strategies in plant improvement · 2023
    Article
  10. Article
  11. 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

14 authors.

Naihui GuoState Key Laboratory of Rice Biology, Key Laboratory of Rice Biology and Breeding, Ministry of Agriculture, China National Rice Improvement Centre, China National Rice Research Institute, Hangzhou, China.
Yakun WangState Key Laboratory of Rice Biology, Key Laboratory of Rice Biology and Breeding, Ministry of Agriculture, China National Rice Improvement Centre, China National Rice Research Institute, Hangzhou, China.
Wei ChenState Key Laboratory of Rice Biology, Key Laboratory of Rice Biology and Breeding, Ministry of Agriculture, China National Rice Improvement Centre, China National Rice Research Institute, Hangzhou, China.
Shengjia TangState Key Laboratory of Rice Biology, Key Laboratory of Rice Biology and Breeding, Ministry of Agriculture, China National Rice Improvement Centre, China National Rice Research Institute, Hangzhou, China.
Ruihu AnState Key Laboratory of Rice Biology, Key Laboratory of Rice Biology and Breeding, Ministry of Agriculture, China National Rice Improvement Centre, China National Rice Research Institute, Hangzhou, China.
Xiangjin WeiState Key Laboratory of Rice Biology, Key Laboratory of Rice Biology and Breeding, Ministry of Agriculture, China National Rice Improvement Centre, China National Rice Research Institute, Hangzhou, China.
Shikai HuState Key Laboratory of Rice Biology, Key Laboratory of Rice Biology and Breeding, Ministry of Agriculture, China National Rice Improvement Centre, China National Rice Research Institute, Hangzhou, China.
Shaoqing TangState Key Laboratory of Rice Biology, Key Laboratory of Rice Biology and Breeding, Ministry of Agriculture, China National Rice Improvement Centre, China National Rice Research Institute, Hangzhou, China.
Gaoneng ShaoState Key Laboratory of Rice Biology, Key Laboratory of Rice Biology and Breeding, Ministry of Agriculture, China National Rice Improvement Centre, China National Rice Research Institute, Hangzhou, China.
Guiai JiaoState Key Laboratory of Rice Biology, Key Laboratory of Rice Biology and Breeding, Ministry of Agriculture, China National Rice Improvement Centre, China National Rice Research Institute, Hangzhou, China.
Lihong XieState Key Laboratory of Rice Biology, Key Laboratory of Rice Biology and Breeding, Ministry of Agriculture, China National Rice Improvement Centre, China National Rice Research Institute, Hangzhou, China.
Ling WangState Key Laboratory of Rice Biology, Key Laboratory of Rice Biology and Breeding, Ministry of Agriculture, China National Rice Improvement Centre, China National Rice Research Institute, Hangzhou, China.
Zhonghua ShengState Key Laboratory of Rice Biology, Key Laboratory of Rice Biology and Breeding, Ministry of Agriculture, China National Rice Improvement Centre, China National Rice Research Institute, Hangzhou, China.
Peisong HuState Key Laboratory of Rice Biology, Key Laboratory of Rice Biology and Breeding, Ministry of Agriculture, China National Rice Improvement Centre, China National Rice Research Institute, Hangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The stigma exsertion rate (SER) is a complex agronomy phenotype controlled by multiple genes and climate and a key trait affecting the efficiency of hybrid rice seed production. Using a japonica two-line male sterile line (DaS) with a high SER as the donor and a tropical japonica rice (D50) with a low SER as the acceptor to construct a near-isogenic line [NIL (

Indexed as

hormonenear-isogenic lineQTLricestigma exsertion rate

Identifiers

PMID35923872
PMCPMC9341389

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.