Evidence map›Paper›PMID 37373552›Full record

ArticleInternational journal of molecular sciences2023

Genome-Wide Association Study of Lint Percentage in

Yuanyuan Wang, Xinlei Guo, Xiaoyan Cai, Yanchao Xu, Runrun Sun, Muhammad Jawad Umer, Kunbo Wang, Tengfei Qin, Yuqing Hou, Yuhong Wang and 5 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in International journal of molecular sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.8field-weighted citation impact, top 10% 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

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Review
  3. Special Issue: Cotton Molecular Genomics and Genetics 2.0.International journal of molecular sciences · 2024
    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

15 authors at 4 institutions in 1 country.

Yuanyuan WangCollaborative Innovation Center of Modern Biological Breeding of Henan Province, Henan Institute of Science and Technology, Xinxiang 453003, China.
Xinlei GuoCollaborative Innovation Center of Modern Biological Breeding of Henan Province, Henan Institute of Science and Technology, Xinxiang 453003, China.
Xiaoyan CaiState Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang 455000, China.
Yanchao XuState Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang 455000, China.
Runrun SunCollaborative Innovation Center of Modern Biological Breeding of Henan Province, Henan Institute of Science and Technology, Xinxiang 453003, China.
Muhammad Jawad UmerState Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang 455000, China.ORCID 0000-0003-2043-0684
Kunbo WangState Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang 455000, China.
Tengfei QinInstitute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing 100081, China.
Yuqing HouState Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang 455000, China.
Yuhong WangState Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang 455000, China.
Pan ZhangCollaborative Innovation Center of Modern Biological Breeding of Henan Province, Henan Institute of Science and Technology, Xinxiang 453003, China.
Zihan WangCollaborative Innovation Center of Modern Biological Breeding of Henan Province, Henan Institute of Science and Technology, Xinxiang 453003, China.
Fang LiuState Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang 455000, China.ORCID 0000-0002-6213-9572
Qinglian WangCollaborative Innovation Center of Modern Biological Breeding of Henan Province, Henan Institute of Science and Technology, Xinxiang 453003, China.
Zhongli ZhouState Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang 455000, China.
Cotton Research Institute · CNHenan Institute of Science and Technology · CNChinese Academy of Agricultural Sciences · CNZhengzhou University · CN

Funding

Key Scientific Research Projects of Higher Education of Henan Province 22A210014National Natural Science Foundation of China 32201763Project of Sanya Yazhou Bay Science and Technology City SCKJ-JYRC-2022-88Science and Technology Development Project of Henan Province 212102110054Science and Technology Development Project of Henan Province 222102110146State Key Laboratory of Cotton Biology Open Fund CB2021A02
6 · The paper itself

Abstract

Lint percentage is one of the most essential yield components and an important economic index for cotton planting. Improving lint percentage is an effective way to achieve high-yield in cotton breeding worldwide, especially upland cotton (

Indexed as

Genome-Wide Association StudyGossypiumCotton FiberPhenotypePlant BreedingQuantitative Trait Locigenome-wide association studyG. hirsutum racelint percentagesemi-wild cotton

Identifiers

PMID37373552
PMCPMC10299271
OpenAlexW4381664394

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.