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评估农业气候变量对橄榄果蝇侵袭概率和时间的影响。

Evaluation of the effect of agroclimatic variables on the probability and timing of olive fruit fly attack.

作者信息

Rondoni Gabriele, Mattioli Elisabetta, Giannuzzi Vito Antonio, Chierici Elena, Betti Andrea, Natale Gaetano, Petacchi Ruggero, Famiani Franco, Natale Antonio, Conti Eric

机构信息

Department of Agricultural, Food and Environmental Sciences, University of Perugia, Perugia, Italy.

TeamDev - Software, GIS and Web Engineering, Perugia, Italy.

出版信息

Front Plant Sci. 2024 Jul 15;15:1401669. doi: 10.3389/fpls.2024.1401669. eCollection 2024.

DOI:10.3389/fpls.2024.1401669
PMID:39077508
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11284310/
Abstract

Agroclimatic variables may affect insect and plant phenology, with unpredictable effects on pest populations and crop losses. Rossi (Diptera: Tephritidae) is a specific pest of plants that can cause annual economic losses of more than one billion US dollars in the Mediterranean region. In this study, we aimed at understanding the effect of olive tree phenology and other agroclimatic variables on infestation dynamics in the Umbria region (Central Italy). Analyses were carried out on infestation data collected in 79 olive groves during a 7-year period (from 2015 to 2021). In July-August, infestation (1% attack) was negatively affected by altitude and spring mean daily temperatures and positively by higher winter mean daily temperatures and olive tree cumulative degree days. In September-October, infestation was negatively affected by a positive soil water balance and high spring temperatures. High altitude and cumulative plant degree days were related to delayed attacks. In contrast, high winter and spring temperatures accelerated them. Our results could be helpful for the development of predictive models and for increasing the reliability of decision support systems currently used in olive orchards.

摘要

农业气候变量可能会影响昆虫和植物的物候,对害虫种群和作物损失产生不可预测的影响。罗西实蝇(双翅目:实蝇科)是一种特定的植物害虫,在地中海地区每年可造成超过10亿美元的经济损失。在本研究中,我们旨在了解橄榄树物候和其他农业气候变量对翁布里亚地区(意大利中部)虫害动态的影响。对7年期间(2015年至2021年)在79个橄榄园中收集的虫害数据进行了分析。在7月至8月期间,虫害(1%的侵袭率)受到海拔高度和春季平均日温度的负面影响,而受到较高的冬季平均日温度和橄榄树累积度日的正面影响。在9月至10月期间,虫害受到正土壤水分平衡和高春季温度的负面影响。高海拔和累积植物度日与侵袭延迟有关。相比之下,高冬季和春季温度加速了侵袭。我们的结果可能有助于开发预测模型,并提高目前橄榄园使用的决策支持系统的可靠性。

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