Evidence map›Paper›PMID 41238974›Full record

ArticleTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2025

Exploring intra-varietal variation for complex traits in grapevine (Vitis vinifera L.).

Hannah Robinson, Timo Strack, Maximilian Schmidt, Paolo Callipo, Mariem Nsibi, Joachim Schmid, Ernst Rühl, Hans-Peter Piepho, Kai P Voss-Fels

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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 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. Review
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.

Hannah RobinsonDepartment of Plant Breeding, Hochschule Geisenheim University, Geisenheim, Germany.ORCID http://orcid.org/0000-0002-8303-8076
Timo StrackDepartment of Plant Breeding, Hochschule Geisenheim University, Geisenheim, Germany.ORCID http://orcid.org/0000-0002-5127-2415
Maximilian SchmidtDepartment of Plant Breeding, Hochschule Geisenheim University, Geisenheim, Germany.ORCID http://orcid.org/0000-0003-4576-6774
Paolo CallipoDepartment of Plant Breeding, Hochschule Geisenheim University, Geisenheim, Germany.ORCID http://orcid.org/0009-0007-5412-9394
Mariem NsibiDepartment of Plant Breeding, Hochschule Geisenheim University, Geisenheim, Germany.
Joachim SchmidDepartment of Plant Breeding, Hochschule Geisenheim University, Geisenheim, Germany.
Ernst RühlDepartment of Plant Breeding, Hochschule Geisenheim University, Geisenheim, Germany.
Hans-Peter PiephoBiostatistics Unit, Institute of Crop Science, University of Hohenheim, Stuttgart, Germany.ORCID http://orcid.org/0000-0001-7813-2992
Kai P Voss-FelsDepartment of Plant Breeding, Hochschule Geisenheim University, Geisenheim, Germany. Kai.Voss-Fels@hs-gm.de.ORCID http://orcid.org/0000-0003-0782-366X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

key messageCenturies of clonal propagation have shaped remarkable intra-varietal genetic diversity in grapevine, offering valuable opportunities to dissect complex traits and accelerate genetic improvement while safeguarding varietal integrity. Climate change poses significant challenges to global grapevine (Vitis vinifera L.) production, highlighting the urgent need for adaptive breeding strategies to accelerate genetic improvement. While clonal propagation preserves varietal identity and heterozygosity, it also limits the rate of genetic gain due to prolonged breeding cycles. This study assessed phenotypic and genetic variation within eight clonal populations of key grapevine varieties (Pinot Blanc, Pinot Gris, Pinot Noir, Pinot Noir Précoce, Riesling, Müller-Thurgau, Auxerrois, and Savagnin Rose) using 14 years of data collected in Germany across six agronomic, quality, and disease-related traits. Estimates of broad-sense heritability, genetic correlations, and key variance components were derived using linear mixed models. Substantial intra-varietal phenotypic variation was observed across all traits, with moderate to high heritability estimates, confirming that a meaningful proportion of the phenotypic variation can be attributed to the genetic differences among clones. Substantial year and year-by-field variance and interaction components were found to contribute to the total phenotypic variance for most traits, aligning with previous reports of substantial genotype-by-environment interaction in clonal grapevine populations. Genetic correlations revealed both strong positive and strong negative trait relationships, emphasising the importance of informed multi-trait selection strategies. The results highlight considerable potential to enhance clonal selection by integrating predictive breeding tools such as genomic and phenomic selection. Optimisation-based multi-trait selection approaches also offer promising alternatives to traditional index methods, particularly in the context of negative trait correlations. Ultimately, the high intra-varietal genetic variation uncovered in this study represents a valuable resource for improving adaptation to future environments while maintaining varietal integrity in grapevine.

Indexed as

Genetic VariationQuantitative Trait, HeritableVitisGenotypeGermanyPhenotypePlant Breeding

Identifiers

PMID41238974
PMCPMC12618426

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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.