Evidence map›Paper›PMID 40344644›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2025

Integrating Dense Genotyping with High-Throughput Phenotyping Empowers the Genetic Dissection of Berry Quality and Resilience Traits in Grapevine.

Yuyu Zhang, Yongjian Wang, Michael Henke, Pablo Carbonell-Bejerano, Zemin Wang, Pierre-François Bert, Yi Wang, Huayang Li, Junhua Kong, Peige Fan and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 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

12 authors.

Yuyu ZhangState Key Laboratory of Plant Diversity and Specialty Crops and Beijing Key Laboratory of Grape Science and Enology, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China.
Yongjian WangState Key Laboratory of Plant Diversity and Specialty Crops and Beijing Key Laboratory of Grape Science and Enology, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China.
Michael HenkeState Key Laboratory of Plant Diversity and Specialty Crops and Beijing Key Laboratory of Grape Science and Enology, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China.
Pablo Carbonell-BejeranoInstituto de Ciencias de la Vid y del Vino (ICVV), Consejo Superior de Investigaciones Científicas-Universidad de La Rioja-Gobierno de La Rioja, Logrono, 26007, Spain.
Zemin WangState Key Laboratory of Plant Diversity and Specialty Crops and Beijing Key Laboratory of Grape Science and Enology, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China.
Pierre-François BertEGFV, Bordeaux Sciences Agro, INRAE, ISVV, Univ. Bordeaux, Villenave d'Ornon, 33882, France.
Yi WangState Key Laboratory of Plant Diversity and Specialty Crops and Beijing Key Laboratory of Grape Science and Enology, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China.
Huayang LiState Key Laboratory of Plant Diversity and Specialty Crops and Beijing Key Laboratory of Grape Science and Enology, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China.
Junhua KongState Key Laboratory of Plant Diversity and Specialty Crops and Beijing Key Laboratory of Grape Science and Enology, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China.
Peige FanState Key Laboratory of Plant Diversity and Specialty Crops and Beijing Key Laboratory of Grape Science and Enology, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China.
Zhanwu DaiState Key Laboratory of Plant Diversity and Specialty Crops and Beijing Key Laboratory of Grape Science and Enology, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China.
Zhenchang LiangState Key Laboratory of Plant Diversity and Specialty Crops and Beijing Key Laboratory of Grape Science and Enology, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China.ORCID https://orcid.org/0000-0002-7049-2448

Funding

Agricultural Breeding Project of Ningxia Hui Autonomous Region NXNYYZ202101CAS Project for Young Scientists in Basic Research YSBR-093CAS Youth Interdisciplinary Team JCTD-2022-06Chinese Academy of Sciences President's International Fellowship Initiative 2025PG0014National Key Research and Development Program of China 2021YFE0109500National Key Research and Development Program of China 2022YFE0116400National Science Foundation of China 32025032Strategic Priority Research Program of Chinese Academy of Sciences XDA24030404-3
6 · The paper itself

Abstract

Investigating the genetic architecture of important agronomic traits in grapevine, like berry quality and resilience to abiotic stress, has been hampered by bottlenecks in genotyping and phenotyping. To address these limitations, this study aimed to develop innovative tools to unravel the complex polygenic genomic architecture of these traits. Specifically, a high-density 200K single nucleotide polymorphism array is developed and validated its effectiveness by genotyping 471 accessions from three F

Indexed as

FruitVitisGenotypeGenotyping TechniquesPhenotypePlant BreedingPolymorphism, Single NucleotideQuantitative Trait Loci200K axiom SNP arrayassociation mappingfine mappinghaplotype analysishigh‐throughput phenotypingNAC08

Identifiers

PMID40344644
PMCPMC12362751

What OpenQuestion holds

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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.