Evidence map›Paper›PMID 28540490›Full record

ArticleInternational journal of biometeorology2017

Relationship between viticultural climatic indices and grape maturity in Australia.

C Jarvis, E Barlow, R Darbyshire, R Eckard, I Goodwin

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Article in International journal of biometeorology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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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

4 citing papers in PubMed.

  1. Comparative genomic analysis of 255Microbiology spectrum · 2025
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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

5 authors.

C JarvisFaculty of Veterinary and Agricultural Sciences, University of Melbourne, Parkville, VIC, 3010, Australia. cjarvis@student.unimelb.edu.au.ORCID http://orcid.org/0000-0002-8980-6398
E BarlowFaculty of Veterinary and Agricultural Sciences, University of Melbourne, Parkville, VIC, 3010, Australia.
R DarbyshireFaculty of Veterinary and Agricultural Sciences, University of Melbourne, Parkville, VIC, 3010, Australia.
R EckardFaculty of Veterinary and Agricultural Sciences, University of Melbourne, Parkville, VIC, 3010, Australia.
I GoodwinAgriculture Victoria, Tatura, VIC, 3616, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Historical temperature data and maturity records were analyzed for 45 vineyard blocks in 15 winegrowing regions across Australia in order to evaluate the suitability of common viticultural indices to estimate date of grape maturity. Five temperature-based viticultural indices (mean January temperature, mean growing season temperature, growing degree days, biologically effective degree days, Huglin Index) along with four springtime temperature indices (mean and maximum temperature summations for September, October, and November; growing degree days and biologically effective degree days modified to include September) were compared to maturity data in order to investigate index relationship to observed maturity timing. Daily heat summations for the months of September, October, and November showed the best correlation to day of year of maturity, suggesting that springtime temperatures are important relative to the timing of grape maturity. Mean January temperature, a commonly used index, had the poorest correlation with day of year of maturity of all the indices included in this study. Indices that included the month of April had poorer correlation than indices that shifted the months included in the growing season to be from September to March inclusive. Calculated index values for the past 30 years for every region included in this study showed increasing temporal trends to various degrees, indicating that all regions studied are experiencing warming temperatures during the growing season. These results emphasize the need to reevaluate viticultural indices in the context of a changing climate.

Indexed as

Climate ChangeAustraliaClimateSeasonsTemperatureVitisClimate variabilityPhenologySpringTemperatureWarming

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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.