Evidence map›Paper›PMID 37220539›Full record

ReviewaBIOTECH2023

Weed genomics: yielding insights into the genetics of weedy traits for crop improvement.

Yujie Huang, Dongya Wu, Zhaofeng Huang, Xiangyu Li, Aldo Merotto, Lianyang Bai, Longjiang Fan

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in aBIOTECH, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Comprehensive Analysis of Genetic and Morphological Diversity inInternational journal of molecular sciences · 2025
    Article
  3. Article
  4. 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

7 authors.

Yujie HuangInstitute of Crop Science and Institute of Bioinformatics, Zhejiang University, Hangzhou, 310058 China.
Dongya WuInstitute of Crop Science and Institute of Bioinformatics, Zhejiang University, Hangzhou, 310058 China.
Zhaofeng HuangInstitute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing, 100193 China.
Xiangyu LiInstitute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing, 100193 China.
Aldo MerottoDepartment of Crop Sciences, Agricultural School Federal University of Rio Grande do Sul, Porto Alegre, 91540-000 Brazil.
Lianyang BaiHunan Weed Science Key Laboratory, Hunan Academy of Agriculture Sciences, Changshang, 410125 China.
Longjiang FanInstitute of Crop Science and Institute of Bioinformatics, Zhejiang University, Hangzhou, 310058 China.ORCID 0000-0003-4846-0500

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Weeds cause tremendous economic and ecological damage worldwide. The number of genomes established for weed species has sharply increased during the recent decade, with some 26 weed species having been sequenced and de novo genomes assembled. These genomes range from 270 Mb (

Indexed as

Adaptive traitsEvolutionGenome sequencingPopulation genomicsWeeds

Identifiers

PMID37220539
PMCPMC10199979

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.