Evidence map›Paper›PMID 40753190›Full record

ArticleBMC genomics2025

Identification of yield-related QTLs and their applications using DH population in maize.

Yifei Wang, Dongxu Yao, Junfeng Song, Xiaochun Zhang, Yanbin Zhu, Zhichun Luo, Jinsheng Lai, Weibin Song, Tianxia Yang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC genomics, 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

9 authors.

Yifei WangState Key Laboratory of Maize Bio-breeding, National Maize Improvement Center, China Agricultural University, Beijing, 100193, P. R. China.
Dongxu YaoState Key Laboratory of Maize Bio-breeding, National Maize Improvement Center, China Agricultural University, Beijing, 100193, P. R. China.
Junfeng SongHebi Academy of Agricultural sciences, Hebi, 458030, Henan, China.
Xiaochun ZhangHebi Academy of Agricultural sciences, Hebi, 458030, Henan, China.
Yanbin ZhuState Key Laboratory of Crop Stress Adaptation and Improvement, Henan University, Kaifeng, 475004, Henan, P. R. China.
Zhichun LuoGansu Dunhuang Seed Industry Group Co., Ltd, Jiuquan, 735000, Gansu, P. R. China.
Jinsheng LaiFrontiers Science Center for Molecular Design Breeding (MOE), China Agricultural University, Beijing, 100193, P. R. China.
Weibin SongState Key Laboratory of Maize Bio-breeding, National Maize Improvement Center, China Agricultural University, Beijing, 100193, P. R. China.
Tianxia YangFrontiers Science Center for Molecular Design Breeding (MOE), China Agricultural University, Beijing, 100193, P. R. China. yangtx@cau.edu.cn.

Funding

Biological Breeding-National Science and Technology Major Project 2023ZD04027Chinese Universities Scientific Fund 2024TC172Key Research and Development Program of Hainan Province ZDYF2024GXJS288National Natural Science Foundation of China 32425041
6 · The paper itself

Abstract

backgroundKernel row number (KRN) and ear length (EL) are key traits that contributes greatly to grain yield in maize (Zea mays L.). Although some quantitative trait loci (QTL) for KRN or EL have been identified, few have been effectively utilized in breeding.

resultsIn this study, we identified QTLs for maize KRN and EL using biparental (PHBA6 and Chang7-2) maize DH populations in 4 environments, and a total of 9 consensus QTLs were identified, including 6 KRN QTLs and 3 EL QTLs, of which 3 consensus QTLs were novel. By integrating genome-wide association studies (GWAS), transcriptomic and gene sequence analysis, we identified 3 candidate genes in the new consensus QTLs. Among these, Zm00001d031913 (WAT1-related protein) and Zm00001d026621 (WD40 protein), parental homologous genes showed structural variations (SVs) in the promoter region, and the Coding Sequence (CDS) have amino acid deletions or substitutions, they are key candidate genes for KRN. Further, we identified and validated an excellent breeding selection signal, the qEL3.1 genotype of PHBA6, which successfully increased EL in the Zhengdan958, a widely cultivated commercial hybrid. Concurrently, we observed a reduction in ear height (EH), which is also a favorable phenotype in maize.

conclusionsOur work providing valuable insights for targeted genetic improvements and enhances the understanding of the genetic basis of KRN and EL in maize.

Indexed as

Quantitative Trait LociZea maysChromosome MappingGenome-Wide Association StudyPhenotypePlant BreedingPlant ProteinsPlant ProteinsGWASMaizeMolecular breedingQTL mappingSequence analysisYield trait

Identifiers

PMID40753190
PMCPMC12318384

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.