Evidence map›Paper›PMID 36589052›Full record

ArticleFrontiers in plant science2022

Natural variation of

Quan Zhang, Jianyin Xie, Xueqiang Wang, Miaosong Liu, Xiaoyang Zhu, Tao Yang, Najeeb Ullah Khan, Chen Sun, Jinjie Li, Zhanying Zhang and 2 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 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.2field-weighted citation impact, top 11% 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

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. QTL-Seq and pyramiding of yield-related loci from wild rice (Molecular breeding : new strategies in plant improvement · 2026
    Article
  2. Article
  3. Article
  4. A 65-kb deletion survey identifies a distalProceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  5. 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

12 authors at 2 institutions in 1 country.

Quan ZhangState Key Laboratory of Agrobiotechnology/Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, China.
Jianyin XieState Key Laboratory of Agrobiotechnology/Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, China.
Xueqiang WangState Key Laboratory of Agrobiotechnology/Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, China.
Miaosong LiuState Key Laboratory of Agrobiotechnology/Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, China.
Xiaoyang ZhuState Key Laboratory of Agrobiotechnology/Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, China.
Tao YangState Key Laboratory of Agrobiotechnology/Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, China.
Najeeb Ullah KhanState Key Laboratory of Agrobiotechnology/Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, China.
Chen SunState Key Laboratory of Agrobiotechnology/Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, China.
Jinjie LiState Key Laboratory of Agrobiotechnology/Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, China.
Zhanying ZhangState Key Laboratory of Agrobiotechnology/Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, China.
Zichao LiState Key Laboratory of Agrobiotechnology/Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, China.
Hongliang ZhangState Key Laboratory of Agrobiotechnology/Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, China.
China Agricultural University · CNSanya University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The grain number per panicle (GNP) is an important yield component. Identifying naturally favorable variations in GNP will benefit high-yield rice breeding. Here, we performed a genome-wide association study using a mini-core collection of 266 cultivated rice accessions with deep sequencing data and investigated the phenotype for three years. Three genes, i.e.,

Indexed as

breedinggrain number per panicleGWAShaplotyperice

Identifiers

PMID36589052
PMCPMC9795840
OpenAlexW4312138210

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.