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Modeling Phenological Phases across Olive Cultivars in the Mediterranean

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 hardeni...

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Autores principales: Didevarasl, Ali, Costa Saura, Jose M., Spano, Donatella, Deiana, Pierfrancesco, Snyder, Richard L., Mulas, Maurizio, Nieddu, Giovanni, Zelasco, Samanta, Santona, Mario, Trabucco, Antonio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10536209/
https://www.ncbi.nlm.nih.gov/pubmed/37765344
http://dx.doi.org/10.3390/plants12183181
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author Didevarasl, Ali
Costa Saura, Jose M.
Spano, Donatella
Deiana, Pierfrancesco
Snyder, Richard L.
Mulas, Maurizio
Nieddu, Giovanni
Zelasco, Samanta
Santona, Mario
Trabucco, Antonio
author_facet Didevarasl, Ali
Costa Saura, Jose M.
Spano, Donatella
Deiana, Pierfrancesco
Snyder, Richard L.
Mulas, Maurizio
Nieddu, Giovanni
Zelasco, Samanta
Santona, Mario
Trabucco, Antonio
author_sort Didevarasl, Ali
collection PubMed
description 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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spelling pubmed-105362092023-09-29 Modeling Phenological Phases across Olive Cultivars in the Mediterranean Didevarasl, Ali Costa Saura, Jose M. Spano, Donatella Deiana, Pierfrancesco Snyder, Richard L. Mulas, Maurizio Nieddu, Giovanni Zelasco, Samanta Santona, Mario Trabucco, Antonio Plants (Basel) Article 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. MDPI 2023-09-05 /pmc/articles/PMC10536209/ /pubmed/37765344 http://dx.doi.org/10.3390/plants12183181 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Didevarasl, Ali
Costa Saura, Jose M.
Spano, Donatella
Deiana, Pierfrancesco
Snyder, Richard L.
Mulas, Maurizio
Nieddu, Giovanni
Zelasco, Samanta
Santona, Mario
Trabucco, Antonio
Modeling Phenological Phases across Olive Cultivars in the Mediterranean
title Modeling Phenological Phases across Olive Cultivars in the Mediterranean
title_full Modeling Phenological Phases across Olive Cultivars in the Mediterranean
title_fullStr Modeling Phenological Phases across Olive Cultivars in the Mediterranean
title_full_unstemmed Modeling Phenological Phases across Olive Cultivars in the Mediterranean
title_short Modeling Phenological Phases across Olive Cultivars in the Mediterranean
title_sort modeling phenological phases across olive cultivars in the mediterranean
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10536209/
https://www.ncbi.nlm.nih.gov/pubmed/37765344
http://dx.doi.org/10.3390/plants12183181
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