Evidence map›Paper›PMID 33276582›Full record

ArticlePlants (Basel, Switzerland)2020

Genetic Basis of Tiller Dynamics of Rice Revealed by Genome-Wide Association Studies.

Shuyu Zhao, Su Jang, Yoon Kyung Lee, Dong-Gwan Kim, Zhengxun Jin, Hee-Jong Koh

Open access · goldAbstract read
In one paragraph

Article in Plants (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.6field-weighted citation impact, top 15% 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

14 citing papers in PubMed, 36 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. FZP modulates tillering via OsMADS57 in rice.Plant biotechnology journal · 2025
    Article
  6. Review
  7. Article
  8. Elevated CORice (New York, N.Y.) · 2023
    Article
  9. Review
  10. Article
  11. Article
  12. Foliar Application ofPlants (Basel, Switzerland) · 2022
    Article
  13. Article
  14. 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

6 authors at 3 institutions in 2 countries.

Shuyu ZhaoDepartment of Plant Science, Plant Genomics and Breeding Institute, Research Institute for Agriculture and Life Sciences, Seoul National University, Seoul 08826, Korea.
Su JangDepartment of Plant Science, Plant Genomics and Breeding Institute, Research Institute for Agriculture and Life Sciences, Seoul National University, Seoul 08826, Korea.ORCID 0000-0001-6058-8430
Yoon Kyung LeeDepartment of Plant Science, Plant Genomics and Breeding Institute, Research Institute for Agriculture and Life Sciences, Seoul National University, Seoul 08826, Korea.
Dong-Gwan KimDepartment of Bioindustry and Bioresource Engineering, Department of Molecular Biology and Plant Engineering Research Institute, Sejong University, Seoul 05006, Korea.ORCID 0000-0003-0092-5620
Zhengxun JinDepartment of Agronomy, College of Agriculture, Northeast Agricultural University, Harbin 150030, China.
Hee-Jong KohDepartment of Plant Science, Plant Genomics and Breeding Institute, Research Institute for Agriculture and Life Sciences, Seoul National University, Seoul 08826, Korea.ORCID 0000-0002-4357-7008
Seoul National University · KRNortheast Agricultural University · CNSejong University · KR

Funding

Rural Development Administration PJ013165
6 · The paper itself

Abstract

A tiller number is the key determinant of rice plant architecture and panicle number and consequently controls grain yield. Thus, it is necessary to optimize the tiller number to achieve the maximum yield in rice. However, comprehensive analyses of the genetic basis of the tiller number, considering the development stage, tiller type, and related traits, are lacking. In this study, we sequence 219 Korean rice accessions and construct a high-quality single nucleotide polymorphism (SNP) dataset. We also evaluate the tiller number at different development stages and heading traits involved in phase transitions. By genome-wide association studies (GWASs), we detected 20 significant association signals for all traits. Five signals were detected in genomic regions near known candidate genes. Most of the candidate genes were involved in the phase transition from vegetative to reproductive growth. In particular,

Indexed as

genome-wide association studyheading datephase transitionproductive tiller numberrice tilleringtiller number

Identifiers

PMID33276582
PMCPMC7761586
OpenAlexW3108813284

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.