Evidence map›Paper›PMID 41013191›Full record

ArticleBMC genomics2025

Genome-wide association study, linkage mapping and transcriptomic analysis revealed candidate genes with the flag leaf traits associated with nitrogen use efficiency in wheat.

Yulin Jia, Ninglu Xu, Jinzhi Wu, Chunping Wang, Ming Huang, Youjun Li

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. Review
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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

6 authors.

Yulin JiaCollege of Agronomy/Engineering Research Center for Dryland Agriculture, Henan University of Science and Technology, Luoyang, Henan, 471000, China.
Ninglu XuCollege of Agronomy/Engineering Research Center for Dryland Agriculture, Henan University of Science and Technology, Luoyang, Henan, 471000, China.
Jinzhi WuCollege of Agronomy/Engineering Research Center for Dryland Agriculture, Henan University of Science and Technology, Luoyang, Henan, 471000, China.
Chunping WangCollege of Agronomy/Engineering Research Center for Dryland Agriculture, Henan University of Science and Technology, Luoyang, Henan, 471000, China.
Ming HuangCollege of Agronomy/Engineering Research Center for Dryland Agriculture, Henan University of Science and Technology, Luoyang, Henan, 471000, China. huangming_2003@126.com.
Youjun LiCollege of Agronomy/Engineering Research Center for Dryland Agriculture, Henan University of Science and Technology, Luoyang, Henan, 471000, China. lyj@haust.edu.cn.

Funding

Henan Province Major Science and Technology Project 231100110300Henan Province Science and Technology Research Project 232102111009Key Research Project of the Shennong Laboratory SN01-2022-01National Key Research and Development Program of China 2022YFD2300800National Natural Science Foundation of China 32401870
6 · The paper itself

Abstract

backgroundEnhancing flag leaf nitrogen use efficiency (NUE) in wheat production can substantially increase crop productivity while minimizing nitrogen application. Quantitative trait loci (QTLs) for NUE-related have been rarely reported in wheat flag leaf traits.

resultsIn this study, a natural population of 243 varieties and an RIL population of 123 F

conclusionsThese findings offer potential candidate genes for wheat breeding, and provide a foundation for exploring the molecular targets underlying wheat NUE.

Indexed as

Genome-Wide Association StudyNitrogenPlant LeavesTriticumChromosome MappingGene Expression ProfilingGenetic LinkagePhenotypePolymorphism, Single NucleotideQuantitative Trait LociTranscriptomeNitrogenCandidate genesFlag leafGWASNitrogen use efficiencyQTL mappingRNA-seqWheat

Identifiers

PMID41013191
PMCPMC12466056

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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.