ArticlePlants (Basel, Switzerland)2023
Modeling Phenological Phases across Olive Cultivars in the Mediterranean.
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.
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Who cites it
8 citing papers in PubMed, 14 citations in OpenAlex.
- Budburst and Flowering Dynamics of Cultivated Olive Across the Mediterranean Basin.Plants (Basel, Switzerland) · 2026Article
- The Ethnobotanical Heritage ofPlants (Basel, Switzerland) · 2026Article
- Drought-Induced Changes in Morphology and Phenology of Olive Trees (Plants (Basel, Switzerland) · 2025Review
- Exploring Reproductive Timing in Olive Tree: Male Meiosis and Anthesis Events.Plants (Basel, Switzerland) · 2025Article
- Stability Analysis and Multi-Trait Selection of Flowering Phenology Parameters in Olive Cultivars Under Multi-Environment Trials.Plants (Basel, Switzerland) · 2025Article
- New citizen science initiative enhances flowering onset predictions for fruit trees in Great Britain.Horticulture research · 2024Article
- Assessing different models to predict the growth and development of pepper plants under water deficits.Frontiers in plant science · 2024Article
- Is olive crop modelling ready to assess the impacts of global change?Frontiers in plant science · 2023Review
Corrections and comments
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Authors and funding
10 authors at 2 institutions in 2 countries.
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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.
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Registered trials
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