Evidence map›Paper›PMID 40000500›Full record

ArticleTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2025

Characterization of a stable QTL for quality-related traits and its effects on yields in wheat (Triticum aestivum L.).

Hongke Ding, Yankun Li, Jinlian Ou, Yuanze Song, Lihua Qiu, Xinyu Rong, Han Sun, Chunhua Zhao, Yongzhen Wu, Ran Qin and 3 more

Abstract read
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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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

13 authors.

Hongke Ding *Yantai Key Laboratory of Crop Molecular Breeding for High Yield, Stress Resistance and Efficient Cultivation, Modern Seed Industry and Green Breeding Research Center, College of Horticulture, Ludong University, Yantai, 264025, China.
Yankun Li *Shandong Provincial Seed Administration Station, Jinan, 250100, China.
Jinlian OuYantai Key Laboratory of Crop Molecular Breeding for High Yield, Stress Resistance and Efficient Cultivation, Modern Seed Industry and Green Breeding Research Center, College of Horticulture, Ludong University, Yantai, 264025, China.
Yuanze SongYantai Key Laboratory of Crop Molecular Breeding for High Yield, Stress Resistance and Efficient Cultivation, Modern Seed Industry and Green Breeding Research Center, College of Horticulture, Ludong University, Yantai, 264025, China.
Lihua QiuYantai Key Laboratory of Crop Molecular Breeding for High Yield, Stress Resistance and Efficient Cultivation, Modern Seed Industry and Green Breeding Research Center, College of Horticulture, Ludong University, Yantai, 264025, China.
Xinyu RongYantai Key Laboratory of Crop Molecular Breeding for High Yield, Stress Resistance and Efficient Cultivation, Modern Seed Industry and Green Breeding Research Center, College of Horticulture, Ludong University, Yantai, 264025, China.
Han SunYantai Key Laboratory of Crop Molecular Breeding for High Yield, Stress Resistance and Efficient Cultivation, Modern Seed Industry and Green Breeding Research Center, College of Horticulture, Ludong University, Yantai, 264025, China.
Chunhua ZhaoYantai Key Laboratory of Crop Molecular Breeding for High Yield, Stress Resistance and Efficient Cultivation, Modern Seed Industry and Green Breeding Research Center, College of Horticulture, Ludong University, Yantai, 264025, China.
Yongzhen WuYantai Key Laboratory of Crop Molecular Breeding for High Yield, Stress Resistance and Efficient Cultivation, Modern Seed Industry and Green Breeding Research Center, College of Horticulture, Ludong University, Yantai, 264025, China.
Ran QinYantai Key Laboratory of Crop Molecular Breeding for High Yield, Stress Resistance and Efficient Cultivation, Modern Seed Industry and Green Breeding Research Center, College of Horticulture, Ludong University, Yantai, 264025, China.
Jinlong LiYantai Key Laboratory of Crop Molecular Breeding for High Yield, Stress Resistance and Efficient Cultivation, Modern Seed Industry and Green Breeding Research Center, College of Horticulture, Ludong University, Yantai, 264025, China.
Cheng LiuCrop Research Institute, Shandong Academy of Agricultural Sciences, Jinan, 250100, China.
Fa CuiYantai Key Laboratory of Crop Molecular Breeding for High Yield, Stress Resistance and Efficient Cultivation, Modern Seed Industry and Green Breeding Research Center, College of Horticulture, Ludong University, Yantai, 264025, China. sdaucf@126.com.ORCID http://orcid.org/0000-0001-7493-7005

Funding

Key R & D Program of Shandong Province, China (Major Innovation Project) 2022LZG002-2National Natural Science Foundation of China 32072051National Natural Science Foundation of China 32101726National Natural Science Foundation of China 32272119Natural Science Foundation of Shandong Province ZR2022MC119Natural Science Foundation of Shandong Province Outstanding Youth Fund project 2022LZG002Taishan scholar young expert Program 20230119Yantai Science and Technology Plan Project 2023ZDCX023
6 · The paper itself

Abstract

key messageA total of 6 major stable QTLs and 59 pairwise epistatic eQTLs for quality-related traits were identified, and the candidate genes underlying qDt-KJ 4B, a novel major and stable QTL for dough tractility, were identified Wheat quality traits are usually negatively correlated with yield traits, but they affect the processing quality and nutritional value of wheat. Therefore, identifying more wheat quantitative trait loci (QTLs) and elucidating their genetic basis are essential for cultivating new high-quality and high-yielding wheat varieties. In this study, QTL analysis for five quality-related traits was performed on a recombinant inbred line (RIL) mapping population, KJ-RIL, derived from a cross between Kenong 9204 (KN9204) and Jing 411 (J411). A total of 6 major stable QTLs and 59 pairwise epistatic eQTLs (eQTLs) for dough tractility (DT), kernel hardness (KH), Zeleny sedimentation value (ZEL), water absorption (WAR) and wet gluten content (WGC) were identified in multiple environments. The genetic effects and additive pyramiding effects of the major and stable QTLs of qDt-KJ-4B on quality- and yield-related traits were characterized. The DT phenotypic values of the KJ-RILs increased with the number of favourable QTLs. BAB (only qDt-KJ-5D did not harbour favourable alleles) and BBA (only qDt-KJ-4A did not harbour favourable alleles) were the best combination for improving both the quality and yield potential of qDt-KJ-4B, qDt-KJ-4A and qDt-KJ-5D. The candidate genes underlying qDt-KJ-4B were predicted on the basis of multiomics data, with TraesKN4B01HG03930 and TraesKN4B01HG03950 as the most likely candidate genes. Overall, our results are helpful for elucidating the genetic relationships between quality- and yield-related traits and will aid in future development of new high-quality and high-yield wheat varieties to meet diverse consumption needs.

Indexed as

Quantitative Trait LociTriticumChromosome MappingCrosses, GeneticEpistasis, GeneticGenetic LinkageGenotypeGlutensPhenotypePlant BreedingGlutens

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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.