Evidence map›Paper›PMID 41366184›Full record

ArticleStress biology2025

Genome-wide association mapping and candidate genes analysis of high-throughput image descriptors for wheat frost tolerance.

Rui Yu, Yixue Liu, Meng Yuan, Pingtao Jiang, Jiwen Zhao, Chuanliang Zhang, Xiaowan Xu, Qilin Wang, Yuze Wang, Tiantian Chen and 10 more

Abstract read
In one paragraph

Article in Stress biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

20 authors.

Rui Yu *College of Agronomy, Northwest A&F University, Yangling, 712100, Shaanxi, China.
Yixue Liu *College of Mechanical and Electronic Engineering, Northwest A&F University, Yangling, 712100, Shaanxi, China.
Meng Yuan *College of Agronomy, Northwest A&F University, Yangling, 712100, Shaanxi, China.
Pingtao JiangCollege of Agronomy, Northwest A&F University, Yangling, 712100, Shaanxi, China.
Jiwen ZhaoCollege of Agronomy, Northwest A&F University, Yangling, 712100, Shaanxi, China.
Chuanliang ZhangCollege of Agronomy, Northwest A&F University, Yangling, 712100, Shaanxi, China.
Xiaowan XuInstitute of Crop Sciences, Chinese Academy of Agricultural Sciences (CAAS), Beijing, 100081, China.
Qilin WangState Key Laboratory for Crop Stress Resistance and High-Efficiency Production, Northwest A&F University, Yangling, 712100, Shaanxi, China.
Yuze WangCollege of Agronomy, Northwest A&F University, Yangling, 712100, Shaanxi, China.
Tiantian ChenCollege of Agronomy, Northwest A&F University, Yangling, 712100, Shaanxi, China.
Jingrui OuCollege of Agronomy, Northwest A&F University, Yangling, 712100, Shaanxi, China.
Yihang LuoCollege of Agronomy, Northwest A&F University, Yangling, 712100, Shaanxi, China.
Haitao DongCollege of Agronomy, Northwest A&F University, Yangling, 712100, Shaanxi, China.
Zhensheng KangState Key Laboratory for Crop Stress Resistance and High-Efficiency Production, Northwest A&F University, Yangling, 712100, Shaanxi, China.
Qingdong ZengState Key Laboratory for Crop Stress Resistance and High-Efficiency Production, Northwest A&F University, Yangling, 712100, Shaanxi, China.
Yusheng ZhaoInstitute of Genetics and Developmental Biology, Chinese Academy of Sciences (CAS), Beijing, 100101, China.
Shouyang LiuEngineering Research Center of Plant Phenotyping, Ministry of Education, Academy for Advanced Interdisciplinary Studies, Nanjing Agricultural University, Nanjing, 210095, Jiangsu, China. shouyang.liu@njau.edu.cn.
Baofeng SuCollege of Mechanical and Electronic Engineering, Northwest A&F University, Yangling, 712100, Shaanxi, China. bfs@nwsuaf.edu.cn.
Dejun HanCollege of Agronomy, Northwest A&F University, Yangling, 712100, Shaanxi, China. handj@nwafu.edu.cn.
Jianhui WuCollege of Agronomy, Northwest A&F University, Yangling, 712100, Shaanxi, China. wujh@nwafu.edu.cn.ORCID http://orcid.org/0000-0001-8154-1199

Funding

Guangdong Provincial Introduction of Innovative Research and Development Team grant no. Ylzy-xm-01Key Technologies Research and Development Program of Anhui Province 2022-NK-125National Key R&D Program of China No.2022YFE0116200
6 · The paper itself

Abstract

Repeated occurrences of extreme weather events, such as low temperatures, due to global warming present a serious risk to the safety of wheat production. Quantitative assessment of frost damage can facilitate the analysis of key genetic factors related to wheat tolerance to abiotic stress. We collected 491 wheat accessions and selected four image-based descriptors (BLUE band, RED band, NDVI, and GNDVI) to quantitatively assess their frost damage. Image descriptors can complement the visual estimation of frost damage. Combined with genome-wide association study (GWAS), a total of 107 quantitative trait loci (QTL) (r

Indexed as

FrostGS (genomic selection)GWAS (genome-wide association study)ImageWheat

Identifiers

PMID41366184
PMCPMC12690036

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.