Evidence map›Paper›PMID 39325221›Full record

ArticleTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2024

QTL mapping and omics analysis to identify genes controlling kernel dehydration in maize.

Xining Jin, Xiaoxiang Zhang, Pingxi Wang, Juan Liu, Huaisheng Zhang, Xiangyuan Wu, Rui Song, Zhiyuan Fu, Shilin Chen

Abstract read
PubMed Publisher
In one paragraph

Article in TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 2024. 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. A combination of QTL mapping and genome‑wide association study revealed key genes for heat tolerance in maize.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026
    Article
  2. A micropeptide regulates seed desiccation.Frontiers in plant science · 2025
    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

9 authors.

Xining Jin *School of Agriculture, Henan Institute of Science and Technology, Xinxiang, 453003, China.
Xiaoxiang Zhang *School of Agriculture, Henan Institute of Science and Technology, Xinxiang, 453003, China.
Pingxi WangSchool of Agriculture, Henan Institute of Science and Technology, Xinxiang, 453003, China.
Juan LiuXinyang Agriculture and Forestry University, Xinyang, 464000, China.
Huaisheng ZhangSchool of Agriculture, Henan Institute of Science and Technology, Xinxiang, 453003, China.
Xiangyuan WuSchool of Agriculture, Henan Institute of Science and Technology, Xinxiang, 453003, China.
Rui SongNational Key Laboratory of Wheat and Maize Crop Science, Henan Agricultural University, Zhengzhou, 450046, China. songrui2011@126.com.
Zhiyuan FuNational Key Laboratory of Wheat and Maize Crop Science, Henan Agricultural University, Zhengzhou, 450046, China. fuzhiyuan2004@163.com.
Shilin ChenSchool of Agriculture, Henan Institute of Science and Technology, Xinxiang, 453003, China. chenshilin63@126.com.ORCID http://orcid.org/0000-0001-7286-7752

Funding

National Natural Science Foundation of China 32301772Shennong Laboratory First-rate Research Subject SN01-2022-02the Open Project of Co-construction State Key Laboratory of Wheat and Maize Crop Science GK202201001
6 · The paper itself

Abstract

key messageThis study mapped and screened three candidate genes related to kernel dehydration in maize. The slow development rate of maize kernels during later stages leads to high kernel moisture content at harvest, posing a challenge for mechanized maize harvesting in China. This study utilized a recombinant inbred line population derived from Zheng 58 (slow dehydration) and PH6WC (fast dehydration) as parents. After four years of trait investigation and analysis, 25 quantitative trait loci (QTLs) associated with kernel dehydration rate and moisture content were identified, with six QTLs showing a significant contribution value exceeding 10% in the phenotype. Furthermore, a comparison was made between the QTLs identified in this study and those from previous research on maize kernel moisture content and dehydration rate, followed by screening through the omics analysis of the parental lines. Three candidate genes related to kernel dehydration rate were identified, primarily involving carbohydrate metabolism, energy metabolism processes (Zm00001d014030 and Zm00001d006476), and stimulus resistance (Zm00001d040113). These findings provide valuable insights to assist and guide future breeding efforts for mechanical harvesting of maize.

Indexed as

Chromosome MappingPhenotypeQuantitative Trait LociSeedsZea maysDehydrationGenes, PlantPlant Breeding

Identifiers

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.