Evidence map›Paper›PMID 42406120›Full record

ArticlePlanta2026

Genetic identification and candidate gene analysis for loci of spike density in wheat.

Cheng Yang, Guochang Zhou, Longmei Wu, Md Nahibuzzaman Lohani, Chao Wang, Haopeng Zhang, Tongzhu Wang, Jiating Chen, Yujie Yang, Jian Ma

Abstract read
PubMed Publisher
In one paragraph

Article in Planta, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Cheng Yang *Triticeae Research Institute, Sichuan Agricultural University, Chengdu, Sichuan, China.
Guochang Zhou *Shanwei Academy of Agricultural Sciences, Shanwei, Guangdong, China.
Longmei Wu *Rice Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, China.
Md Nahibuzzaman LohaniTriticeae Research Institute, Sichuan Agricultural University, Chengdu, Sichuan, China.
Chao WangTriticeae Research Institute, Sichuan Agricultural University, Chengdu, Sichuan, China.
Haopeng ZhangTriticeae Research Institute, Sichuan Agricultural University, Chengdu, Sichuan, China.
Tongzhu WangTriticeae Research Institute, Sichuan Agricultural University, Chengdu, Sichuan, China.
Jiating ChenTriticeae Research Institute, Sichuan Agricultural University, Chengdu, Sichuan, China.
Yujie YangInstitute of Urban Agriculture, Chinese Academy of Agricultural Sciences, National Agricultural Science and Technology Center, Chengdu, China. yangyujie@caas.cn.
Jian MaTriticeae Research Institute, Sichuan Agricultural University, Chengdu, Sichuan, China. jianma@sicau.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

MAIN

conclusionGWAS of Chinese endemic wheat identifies two stable and potentially novel spike density loci as a resource for future breeding. Spike density (SD) is an important component of spike architecture that influences grain number per spike and ultimately wheat yield potential. Chinese endemic wheat germplasm represents a valuable but underexplored reservoir of genetic diversity for spike-related traits. In this study, a genome-wide association study (GWAS) was conducted using 182 Chinese endemic wheat accessions evaluated for SD across four environments. Substantial phenotypic variation was detected, and SD exhibited high broad-sense heritability (96.81%), indicating a strong genetic contribution to trait variation. Using 38,490 single-nucleotide polymorphisms (SNPs) from the wheat 55 K SNP array, two stable quantitative trait loci (QTL) associated with SD were identified on chromosomes 2BS and 7AL. The most prominent locus, QSD.sau.2B, was localized on chromosome 2B, with the lead marker AX-111715789 explaining up to 7.97% of the phenotypic variance. Comparative analysis with previously reported loci suggested that QSD.sau.2B and QSD.sau.7A may represent potentially novel genomic regions associated with SD. The identified QTL also exhibited pleiotropic effects on other spike-related traits, highlighting their potential importance in wheat spike architecture. These results provide new insights into the genetic architecture of SD in Chinese endemic wheat and identify loci that may be useful for further functional characterization. The detected QTL represent potential targets for marker-assisted selection aimed at improving spike architecture and yield-related traits in wheat breeding programs.

Indexed as

Quantitative Trait LociTriticumChromosome MappingChromosomes, PlantGenome-Wide Association StudyPhenotypePolymorphism, Single NucleotideCandidate geneChinese endemic wheatGenome-wide association study (GWAS)Marker-assisted selectionQuantitative trait locus (QTL)Spike densityWheat 55K SNP array

Identifiers

PMID42406120

What OpenQuestion holds

Textmetadata
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.