Evidence map›Paper›PMID 37765344›Full record

ArticlePlants (Basel, Switzerland)2023

Modeling Phenological Phases across Olive Cultivars in the Mediterranean.

Ali Didevarasl, Jose M Costa Saura, Donatella Spano, Pierfrancesco Deiana, Richard L Snyder, Maurizio Mulas, Giovanni Nieddu, Samanta Zelasco, Mario Santona, Antonio Trabucco

Open access · goldAbstract read
In one paragraph

Article in Plants (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
5.6field-weighted citation impact, top 5% of its field
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

8 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. The Ethnobotanical Heritage ofPlants (Basel, Switzerland) · 2026
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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

10 authors at 2 institutions in 2 countries.

Ali DidevaraslDepartment of Agricultural Sciences, University of Sassari, 07100 Sassari, SS, Italy.ORCID 0009-0004-5698-1845
Jose M Costa SauraDepartment of Agricultural Sciences, University of Sassari, 07100 Sassari, SS, Italy.ORCID 0000-0001-8460-6111
Donatella SpanoDepartment of Agricultural Sciences, University of Sassari, 07100 Sassari, SS, Italy.ORCID 0000-0002-5661-0241
Pierfrancesco DeianaDepartment of Agricultural Sciences, University of Sassari, 07100 Sassari, SS, Italy.ORCID 0000-0003-1914-260X
Richard L SnyderDepartment of Land, Air and Water Resources, University of California, Davis, CA 95616, USA.ORCID 0000-0001-9050-746X
Maurizio MulasDepartment of Agricultural Sciences, University of Sassari, 07100 Sassari, SS, Italy.ORCID 0000-0002-4773-8104
Giovanni NiedduDepartment of Agricultural Sciences, University of Sassari, 07100 Sassari, SS, Italy.
Samanta ZelascoCouncil for Agricultural Research and Economics, Research Centre for Olive, Citrus and Fruit Crops, 87036 Rende, CS, Italy.
Mario SantonaDepartment of Agricultural Sciences, University of Sassari, 07100 Sassari, SS, Italy.ORCID 0000-0002-9089-0478
Antonio TrabuccoDepartment of Agricultural Sciences, University of Sassari, 07100 Sassari, SS, Italy.ORCID 0000-0002-0743-3680
University of Sassari · ITUniversity of California, Davis · US

Funding

Programma Operativo Nazionale ECS00000036
6 · The paper itself

Abstract

Modeling phenological phases in a Mediterranean environment often implies tangible challenges to reconstructing regional trends over heterogenous areas using limited and scattered observations. The present investigation aimed to project phenological phases (i.e., sprouting, blooming, and pit hardening) for early and mid-late olive cultivars in the Mediterranean, comparing two phenological modeling approaches. Phenoflex is a rather integrated but data-demanding model, while a combined model of chill and anti-chill days and growing degree days (CAC_GDD) offers a more parsimonious and general approach in terms of data requirements for parameterization. We gathered phenological observations from nine experimental sites in Italy and temperature timeseries from the European Centre for Medium-Range Weather Forecasts, Reanalysis v5. The best performances of the CAC_GDD (RMSE: 4 days) and PhenoFlex models (RMSE: 5-9.5 days) were identified for the blooming and sprouting phases of mid-late cultivars, respectively. The CAC_GDD model was better suited to our experimental conditions for projecting pit hardening and blooming dates (correlation: 0.80 and 0.70, normalized RMSE: 0.6 and 0.8, normalized standard deviation: 0.9 and 1.0). The optimization of the principal parameters confirmed that the mid-late cultivars were more adaptable to thermal variability. The spatial distribution illustrated the near synchrony of blooming dates between the early and mid-late cultivars compared to other phases.

Indexed as

CAC_GDD modelolive cultivarsphenological modelingphenological stagesthe Mediterranean environment

Identifiers

PMID37765344
PMCPMC10536209
OpenAlexW4386461555

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.