Evidence map›Paper›PMID 40244441›Full record

ArticleInternational journal of molecular sciences2025

Genome-Wide Association Study and Candidate Gene Mining of Husk Number Trait in Maize.

Yancui Wang, Shukai Wang, Dusheng Lu, Ming Chen, Baokun Li, Zhenhong Li, Haixiao Su, Jing Sun, Pingping Xu, Cuixia Chen

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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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

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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

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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. 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

10 authors.

Yancui WangCollege of Agronomy, Shandong Agricultural University, Tai'an 271018, China.
Shukai WangCollege of Agronomy, Shandong Agricultural University, Tai'an 271018, China.
Dusheng LuCollege of Agronomy, Shandong Agricultural University, Tai'an 271018, China.
Ming ChenCollege of Agronomy, Shandong Agricultural University, Tai'an 271018, China.
Baokun LiCollege of Agronomy, Shandong Agricultural University, Tai'an 271018, China.
Zhenhong LiCollege of Agronomy, Shandong Agricultural University, Tai'an 271018, China.
Haixiao SuCollege of Agronomy, Shandong Agricultural University, Tai'an 271018, China.
Jing SunCollege of Agronomy, Shandong Agricultural University, Tai'an 271018, China.
Pingping XuCollege of Agronomy, Shandong Agricultural University, Tai'an 271018, China.
Cuixia ChenCollege of Agronomy, Shandong Agricultural University, Tai'an 271018, China.

Funding

National Key R&D Program of China 2023YFD1200501National Natural Science Foundation of China 32370672
6 · The paper itself

Abstract

Husk number (HN) trait is an important factor affecting maize kernel dehydration rate after the physiological maturity stage. In general, a reasonable reduction in HN is a key target sought for breeding maize varieties that are suitable for mechanized harvesting. In this study, the HN of a maize natural population panel containing 232 inbred lines was analyzed, and the results showed a broad-sense heritability of 0.89, along with a wide range of phenotypic variation. With the best linear unbiased prediction (BLUP) values across the three environments, a genome-wide association study (GWAS) was conducted using 995,106 single-nucleotide polymorphism (SNP) markers. A total of 16 SNPs significantly associated with HN were identified by the mixed linear model and general linear model using the TASSEL 5.0 software program. A local linkage disequilibrium (LD) study was performed to infer the candidate interval around the lead SNPs. A total of 19 functionally annotated genes were identified. The candidate genes were divided into multiple functional types, including transcriptional regulation, signal transduction, and metabolic and cellular transport. These results provide hints for the understanding of the genetic basis of the HN trait and for the breeding of maize varieties with fewer HN and faster dehydration rate.

Indexed as

Genome-Wide Association StudyQuantitative Trait LociZea maysGenes, PlantGenome, PlantLinkage DisequilibriumPhenotypePlant BreedingPolymorphism, Single NucleotideQuantitative Trait, Heritabledehydration ratefavorable alleleGWAShusk numbermaize (Zea mays L.)

Identifiers

PMID40244441
PMCPMC11989285

What OpenQuestion holds

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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.