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A Phenological Model for Olive (Olea europaea L. var europaea) Growing in Italy

机译:意大利生长橄榄(Olea Europaea L. Var Europaea)的酚类模型

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摘要

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.
机译:在地区的橄榄生长的物候可靠模型的校正两大特征环境异质性,如意大利,有许多品种的存在,是具有挑战性的,往往是由于缺乏观察受苦,特别是在budbreak。在本研究中,我们使用了包含来自不同橄榄品种的许多候表演的数据库,多年来,散落于意大利的不同橄榄色品种,以识别出现场扩大的发育率可以抵抗空气温度(发育率函数,DR)的阶段。通过测试线性和非线性函数。进行K折叠交叉验证(KFCV)以评估DR功能预测毒性发育的能力。交叉验证表明,从Budbreak(BBCH 01和07)到开花(BBCH 61和65)和从开花开始(BBCH 51)开始的相位可以以高精度模拟(R2 = 0.93-0.96; RMSE = 3.9-6.6天),线性和非线性功能无明显差异。因此,由此产生的DRS代表了意大利这些阶段的区域酚类模拟的简单而可靠的工具,为旨在重建Budbreak日期的反向建模方法铺平道路。相比之下,尽管探索了大量阶段,但在其他阶段没有获得明显的结果,表明需要进一步调查不同驱动因素的可能相互作用。

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