Evidence map›Paper›PMID 42234102›Full record

ArticleTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2026

Skeleton-guided 3D digitization standardizes complex trait phenotyping and supports reproducible locus discovery in cucumber.

Tingting Qian, Wanyi Liu, Yue Chen, Xiuguo Zheng, Linyi Li, Run Cai, Junsong Pan, Haifan Wen, Jian Pan

Abstract read
PubMed Publisher
In one paragraph

Article in TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Tingting Qian *Institute of Agricultural Science and Technology Information, Shanghai Academy of Agricultural Sciences, Shanghai, 201403, People's Republic of China.
Wanyi Liu *College of Horticulture, Shenyang Agricultural University, Shenyang, 110866, Liaoning, China.
Yue ChenCollege of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, 200240, China.
Xiuguo ZhengInstitute of Agricultural Science and Technology Information, Shanghai Academy of Agricultural Sciences, Shanghai, 201403, People's Republic of China.
Linyi LiInstitute of Agricultural Science and Technology Information, Shanghai Academy of Agricultural Sciences, Shanghai, 201403, People's Republic of China.
Run CaiCollege of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, 200240, China.
Junsong PanCollege of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, 200240, China.
Haifan WenCollege of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, 200240, China. haifanwen@sjtu.edu.cn.
Jian PanCollege of Horticulture, Shenyang Agricultural University, Shenyang, 110866, Liaoning, China. panjian@syau.edu.cn.

Funding

National Key Research and Development Program of China 2023YFD1200101Open Fund of the Key Laboratory of Intelligent Agricultural Technology (Yangtze River Delta) of the Ministry of Agriculture and Rural Affairs SAASBXXKF-2024006
6 · The paper itself

Abstract

Accurate and standardized phenotyping of complex, environmentally sensitive quantitative traits remains a major bottleneck for reliable locus discovery and breeding applications. Here, we established a skeleton-guided 3D digital phenotyping framework that generates standardized digital replicas and enables precise quantification of fruit and plant architecture traits in cucumber. The workflow was applied to a permanent recombinant inbred line (RIL) population (n = 211) evaluated across two seasons (2023-2024), from which nine traits were extracted from 3D models. All 211 RILs were whole-genome resequenced to generate genome-wide SNPs, enabling construction of a high-density linkage map and subsequent QTL mapping, complemented by GWAS for physical anchoring of association signals. Using this integrated design, we identified 29 QTLs across the nine traits and resolved cross-season major-effect loci with consistent genetic signals. Notably, two cross-season loci were detected as novel: FL4.1/FSL4.1 affecting fruit length and fruit stalk length, and NLB1.1/LLB1.1 affecting branching. GWAS further anchored lead variants to physical coordinates and supported cross-season associations. Together, these results demonstrate that standardized 3D phenotyping provides a reproducible and interoperable trait definition framework that supports cross-season locus discovery and downstream marker development for quantitative genetic dissection in cucumber.

Indexed as

Cucumis sativusQuantitative Trait LociChromosome MappingFruitGenetic LinkageGenome-Wide Association StudyPhenotypePolymorphism, Single Nucleotide

Identifiers

PMID42234102

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.