Evidence map›Paper›PMID 41797325›Full record

ArticleThe New phytologist2026

Cold hardiness dynamics predict budbreak and associated low-temperature threats in grapevine.

Francisco Campos-Arguedas, Erica Kirchhof, Michael G North, Jason P Londo, Terry Bates, Cornelis van Leeuwen, Agnès Destrac-Irvine, Benjamin Bois, Al P Kovaleski

Abstract read
In one paragraph

Article in The New phytologist, 2026. 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. 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.

Francisco Campos-Arguedas *Department of Plant and Agroecosystem Sciences, University of Wisconsin-Madison, Madison, WI, 53706, USA.ORCID https://orcid.org/0000-0002-8411-2792
Erica Kirchhof *Department of Plant and Agroecosystem Sciences, University of Wisconsin-Madison, Madison, WI, 53706, USA.ORCID https://orcid.org/0009-0004-9741-9031
Michael G NorthDepartment of Plant and Agroecosystem Sciences, University of Wisconsin-Madison, Madison, WI, 53706, USA.ORCID https://orcid.org/0000-0001-8821-1424
Jason P LondoCornell University, Cornell AgriTech, Geneva, NY, 14456, USA.ORCID https://orcid.org/0000-0003-0535-4820
Terry BatesCornell Lake Erie Research and Extension Laboratory, Portland, NY, 14769, USA.ORCID https://orcid.org/0000-0002-6719-9435
Cornelis van LeeuwenEGFV, Univ. Bordeaux, Bordeaux Sciences Agro, INRAE, ISVV, F-33882, Villenave d'Ornon, France.ORCID https://orcid.org/0000-0002-9428-0167
Agnès Destrac-IrvineEGFV, Univ. Bordeaux, Bordeaux Sciences Agro, INRAE, ISVV, F-33882, Villenave d'Ornon, France.ORCID https://orcid.org/0000-0002-3750-4566
Benjamin BoisBiogéosciences, UMR 6282 CNRS, Université de Bourgogne, 21000, Dijon, France.ORCID https://orcid.org/0000-0001-7114-2071
Al P KovaleskiDepartment of Plant and Agroecosystem Sciences, University of Wisconsin-Madison, Madison, WI, 53706, USA.ORCID https://orcid.org/0000-0002-3287-4963

Funding

National Institute of Food and Agriculture 1027327National Institute of Food and Agriculture 7002619Office of the Vice Chancellor for Research and Graduate Education, University of Wisconsin-Madison
6 · The paper itself

Abstract

Dormant buds of temperate woody perennial plants must attain cold hardiness to survive winters and timely lose it in spring to break bud while avoiding damage from low temperatures and late frosts. Therefore, we asked: Can a cold hardiness model be used to predict budbreak? Here, we used a previously published cold hardiness model to predict bud cold hardiness of three grapevine (Vitis spp.) varieties ('Cabernet-Sauvignon', 'Riesling', and 'Concord') from historical temperature records of eight locations in North America and Europe. Based on those predictions and thresholds of cold hardiness at budbreak from literature, budbreak date was extracted. Despite being untrained on budbreak data, the model resulted in good predictions (RMSE = 7.3d, n = 329), further improved based on expected delays from estimated cold damage (RMSE = 7.2d). Both increasing and decreasing freeze damage risk trends were predicted with increasing temperature, depending on the range of mean dormant season temperature (MDST; 1 Nov-30 Apr) in each location. Spring phenology predictions in relation to MDST also showed warming to advance (MDST < 10°C) or delay (MDST > 10°C) budbreak. Cold hardiness dynamics represent a key advancement in spring phenological modeling that provides information on low-temperature damage potential for the entire dormant season alongside improved predictions of budbreak timing.

Indexed as

Cold TemperatureVitisModels, BiologicalPlant DormancySeasonsbudbreakclimate changecold hardinessdormancyphenological modelingspring phenologyVitiswinter physiology

Identifiers

PMID41797325
PMCPMC13103416

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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.