A phenological model for olive (Olea europaea l. var europaea) growing in italy
| Autor: | Francesco Di Paola, Arianna Di Paola, Maria Vincenza Chiriacò, Giovanni Nieddu |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
0106 biological sciences
010504 meteorology & atmospheric sciences Ecology biology Phenology Agrometeorology Botany Olive Plant Science biology.organism_classification 01 natural sciences Article Horticulture Phenological model Olea QK1-989 Air temperature Developmental rates Reverse modeling Ecology Evolution Behavior and Systematics 010606 plant biology & botany 0105 earth and related environmental sciences |
| Zdroj: | Plants 10 (2021): Art.1115-1–Art.1115-15. doi:10.3390/plants10061115 info:cnr-pdr/source/autori:Di Paola A.; Chiriaco M.V.; Di Paola F.; Nieddu G./titolo:A phenological model for olive (Olea europaea l. var europaea) growing in italy/doi:10.3390%2Fplants10061115/rivista:Plants/anno:2021/pagina_da:Art.1115-1/pagina_a:Art.1115-15/intervallo_pagine:Art.1115-1–Art.1115-15/volume:10 Plants Plants, Vol 10, Iss 1115, p 1115 (2021) Volume 10 Issue 6 |
| DOI: | 10.3390/plants10061115 |
| Popis: | 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 (r2 = 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. |
| Databáze: | OpenAIRE |
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