Evidence map›Paper›PMID 40828177›Full record

ArticleTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2025

Identification of quantitative trait loci and candidate genes underlying kernel traits of wheat (Triticum aestivum L.) in response to drought stress.

Jingfu Ma, Tian Tian, Peng Wang, Yuan Liu, Peipei Zhang, Tao Chen, Lijian Guo, Yanyan Zhang, Yuxuan Wu, Fahimeh Shahinnia and 1 more

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Article in TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Identification and validation of a QTL, QSNS.caas-3D.1, for spikelet number per spike in wheat.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026
    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

11 authors.

Jingfu MaState Key Lab of Aridland Crop Science, Gansu Agricultural University, Lanzhou, 730070, Gansu, China.
Tian TianState Key Lab of Aridland Crop Science, Gansu Agricultural University, Lanzhou, 730070, Gansu, China.
Peng WangState Key Lab of Aridland Crop Science, Gansu Agricultural University, Lanzhou, 730070, Gansu, China.
Yuan LiuState Key Lab of Aridland Crop Science, Gansu Agricultural University, Lanzhou, 730070, Gansu, China.
Peipei ZhangState Key Lab of Aridland Crop Science, Gansu Agricultural University, Lanzhou, 730070, Gansu, China.
Tao ChenState Key Lab of Aridland Crop Science, Gansu Agricultural University, Lanzhou, 730070, Gansu, China.
Lijian GuoState Key Lab of Aridland Crop Science, Gansu Agricultural University, Lanzhou, 730070, Gansu, China.
Yanyan ZhangState Key Lab of Aridland Crop Science, Gansu Agricultural University, Lanzhou, 730070, Gansu, China.
Yuxuan WuState Key Lab of Aridland Crop Science, Gansu Agricultural University, Lanzhou, 730070, Gansu, China.
Fahimeh ShahinniaSummerland Research and Development Centre Agriculture and Agri-Food Canada, 4200 Highway 97, Box 5000, Summerland, BC, V0H 1Z0, Canada.
Delong YangState Key Lab of Aridland Crop Science, Gansu Agricultural University, Lanzhou, 730070, Gansu, China. yangdl@gsau.edu.cn.ORCID http://orcid.org/0000-0001-5370-1589

Funding

Breakthrough Project in Seed Industry of Gansu Province GYGG-2024-2Development Fund Project of National Guiding Local Science and Technology 23ZYQA0322Industrial Support Plan of Colleges and Universities in Gansu Province 2022CYZC-44Innovative Research Group Project of Gansu of Gansu Province 24JRRA633Key Cultivation Project of University Research and Innovation Platform of Gansu Province 2024CXPT-01Key Sci & Tech Special Project of Gansu Province 22ZD6NA009National Natural Science Foundation of China 32160487National Natural Science Foundation of China 32260520National Natural Science Foundation of China 32360518
6 · The paper itself

Abstract

key messageFourteen environmentally stable QTLs for kernel traits were identified and shown to interact significantly with drought-stressed environments. Initial investigation of candidate genes from ten QTL clusters was undertaken, including a KASP marker for TaCYP71E1-A1 on chromosome 5A. Kernel traits, as critical yield components in wheat (Triticum aestivum L.), are governed by quantitative inheritance and are influenced by drought. The identification of quantitative trait loci (QTL) underlying wheat kernel traits in response to drought stress will help enhance breeding for dryland wheat yield. In this study, a hexaploid wheat population of 160 F

Indexed as

DroughtsGenes, PlantQuantitative Trait LociSeedsStress, PhysiologicalTriticumChromosome MappingChromosomes, PlantGenetic LinkageGenetic MarkersGenotypePhenotypePolymorphism, Single NucleotideGenetic Markers

Identifiers

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Registered trials

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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.