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卫星监测受韧皮部难养菌亚种侵害的橄榄林生物肥料恢复情况。

Satellite monitoring of bio-fertilizer restoration in olive groves affected by Xylella fastidiosa subsp. pauca.

机构信息

Institute of Atmospheric Pollution Research, National Research Council of Italy, c/o Interateneo Physics Department, Via Amendola 173, 70126, Bari, Italy.

Research Centre for Olive, Fruit and Citrus Crops, Council for Agricultural Research and Economics, Via di Fioranello 52, 00134, Rome, Italy.

出版信息

Sci Rep. 2023 Apr 7;13(1):5695. doi: 10.1038/s41598-023-32170-x.

DOI:10.1038/s41598-023-32170-x
PMID:37029149
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10082035/
Abstract

Xylella fastidiosa subsp. pauca (Xfp), has attacked the olive trees in Southern Italy with severe impacts on the olive agro-ecosystem. To reduce both the Xfp cell concentration and the disease symptom, a bio-fertilizer restoration technique has been used. Our study applied multi-resolution satellite data to evaluate the effectiveness of such technique at both field and tree scale. For field scale, a time series of High Resolution (HR) Sentinel-2 images, acquired in the months of July and August from 2015 to 2020, was employed. First, four spectral indices from treated and untreated fields were compared. Then, their trends were correlated to meteo-events. For tree-scale, Very High Resolution (VHR) Pléiades images were selected at the closest dates of the Sentinel-2 data to investigate the response to treatments of each different cultivar. All indices from HR and VHR images were higher in treated fields than in those untreated. The analysis of VHR indices revealed that Oliarola Salentina can respond better to treatments than Leccino and Cellina cultivars. All findings were in agreement with in-field PCR results. Hence, HR data could be used to evaluate plant conditions at field level after treatments, while VHR imagery could be used to optimize treatment doses per cultivar.

摘要

寡养单胞菌亚种(Xfp)严重侵袭了意大利南部的橄榄树,对橄榄农业生态系统造成了严重影响。为了降低 Xfp 细胞浓度和疾病症状,已经使用了生物肥料修复技术。我们的研究应用多分辨率卫星数据来评估该技术在田间和树木尺度上的效果。对于田间尺度,使用了 2015 年至 2020 年 7 月和 8 月期间获取的高分辨率(HR)哨兵-2 图像的时间序列。首先,比较了处理和未处理田间的四个光谱指数。然后,将它们的趋势与气象事件相关联。对于树木尺度,选择了与哨兵-2 数据最接近的日期的高分辨率(VHR)Pleiades 图像,以研究每个不同品种对处理的反应。HR 图像中的所有指数都高于未处理的指数。VHR 指数的分析表明,Oliarola Salentina 比 Leccino 和 Cellina 品种更能对处理做出反应。所有发现都与田间 PCR 结果一致。因此,HR 数据可用于评估处理后田间水平的植物状况,而 VHR 图像可用于优化每个品种的处理剂量。

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