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A Phenological Model for Olive (Olea europaea L. var europaea) Growing in Italy
The calibration of a reliable phenological model for olive grown in areas characterized by great environmental heterogeneity, like Italy, where many varieties exist, is challenging and often suffers from a lack of observations, especially on budbreak. In this study, we used a database encompassing m...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8230019/ https://www.ncbi.nlm.nih.gov/pubmed/34073124 http://dx.doi.org/10.3390/plants10061115 |
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author | Di Paola, Arianna Chiriacò, Maria Vincenza Di Paola, Francesco Nieddu, Giovanni |
author_facet | Di Paola, Arianna Chiriacò, Maria Vincenza Di Paola, Francesco Nieddu, Giovanni |
author_sort | Di Paola, Arianna |
collection | PubMed |
description | The calibration of a reliable phenological model for olive grown in areas characterized by great environmental heterogeneity, like Italy, where many varieties exist, is challenging and often suffers from a lack of observations, especially on budbreak. In this study, we used a database encompassing many phenological events from different olive varieties, years, and sites scattered all over Italy to identify the phases in which site-enlarged developmental rates can be well regressed against air temperature (Developmental Rate function, DR) by testing both linear and nonlinear functions. A K-fold cross-validation (KfCV) was carried out to evaluate the ability of DR functions to predict phenological development. The cross-validation showed that the phases ranging from budbreak (BBCH 01 and 07) to flowering (BBCH 61 and 65) and from the beginning of flowering (BBCH 51) to flowering can be simulated with high accuracy (r(2) = 0.93–0.96; RMSE = 3.9–6.6 days) with no appreciable difference among linear and nonlinear functions. Thus, the resulting DRs represent a simple yet reliable tool for regional phenological simulations for these phases in Italy, paving the way for a reverse modeling approach aimed at reconstructing the budbreak dates. By contrast, and despite a large number of phases explored, no appreciable results were obtained on other phases, suggesting possible interplays of different drivers that need to be further investigated. |
format | Online Article Text |
id | pubmed-8230019 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-82300192021-06-26 A Phenological Model for Olive (Olea europaea L. var europaea) Growing in Italy Di Paola, Arianna Chiriacò, Maria Vincenza Di Paola, Francesco Nieddu, Giovanni Plants (Basel) Article The calibration of a reliable phenological model for olive grown in areas characterized by great environmental heterogeneity, like Italy, where many varieties exist, is challenging and often suffers from a lack of observations, especially on budbreak. In this study, we used a database encompassing many phenological events from different olive varieties, years, and sites scattered all over Italy to identify the phases in which site-enlarged developmental rates can be well regressed against air temperature (Developmental Rate function, DR) by testing both linear and nonlinear functions. A K-fold cross-validation (KfCV) was carried out to evaluate the ability of DR functions to predict phenological development. The cross-validation showed that the phases ranging from budbreak (BBCH 01 and 07) to flowering (BBCH 61 and 65) and from the beginning of flowering (BBCH 51) to flowering can be simulated with high accuracy (r(2) = 0.93–0.96; RMSE = 3.9–6.6 days) with no appreciable difference among linear and nonlinear functions. Thus, the resulting DRs represent a simple yet reliable tool for regional phenological simulations for these phases in Italy, paving the way for a reverse modeling approach aimed at reconstructing the budbreak dates. By contrast, and despite a large number of phases explored, no appreciable results were obtained on other phases, suggesting possible interplays of different drivers that need to be further investigated. MDPI 2021-05-31 /pmc/articles/PMC8230019/ /pubmed/34073124 http://dx.doi.org/10.3390/plants10061115 Text en © 2021 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 Di Paola, Arianna Chiriacò, Maria Vincenza Di Paola, Francesco Nieddu, Giovanni A Phenological Model for Olive (Olea europaea L. var europaea) Growing in Italy |
title | A Phenological Model for Olive (Olea europaea L. var europaea) Growing in Italy |
title_full | A Phenological Model for Olive (Olea europaea L. var europaea) Growing in Italy |
title_fullStr | A Phenological Model for Olive (Olea europaea L. var europaea) Growing in Italy |
title_full_unstemmed | A Phenological Model for Olive (Olea europaea L. var europaea) Growing in Italy |
title_short | A Phenological Model for Olive (Olea europaea L. var europaea) Growing in Italy |
title_sort | phenological model for olive (olea europaea l. var europaea) growing in italy |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8230019/ https://www.ncbi.nlm.nih.gov/pubmed/34073124 http://dx.doi.org/10.3390/plants10061115 |
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