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预测俄勒冈州草籽和蔬菜农业生态系统中的季节性物候。

Forecasting the seasonal phenology of in Oregon grass seed and vegetable agroecosystems.

作者信息

Slone Emma, Green Jessica, Kaur Navneet, Walenta Darrin L, Anderson Nicole P, Cruse Casey, Dorman Seth J

机构信息

USDA-ARS, Forage Seed and Cereal Research Unit, Corvallis, OR, United States.

Department of Environmental and Molecular Toxicology, Oregon State University, Corvallis, OR, United States.

出版信息

Front Insect Sci. 2025 Jan 17;4:1505524. doi: 10.3389/finsc.2024.1505524. eCollection 2024.

Abstract

(Lepidoptera: Noctuidae) is a significant pest in Oregon grass seed and vegetable production systems. Effective management of this species relies on timely foliar insecticide applications targeting immature larvae before crop damage is observed. Regionally specific phenological models serve as a critical component of effective areawide pest management plans to inform the timing of pest monitoring and management action. Seasonal modeling of phenology is complicated by their migratory behavior and limited knowledge of temperature-dependent development on affected crop hosts. Growth chamber experiments at five constant temperatures (12 to 32°C) were conducted to determine the temperature-dependent development of life stages on an artificial and perennial ryegrass diet. The completion of one generation (egg-to-adult) required 658.71 ± 31.49, 601.98 ± 16.01, 648.47 ± 21.35 degree days with a base temperature threshold of 9.8°C for artificial diet, perennial ryegrass diet, and across both diet types, respectively. The timing of migrant adults was predicted with surface air temperature using non-linear regression with abundance data collected from pheromone-baited traps in 77 total commercial grass seed (n = 57) and vegetable (n = 20) production fields across 19 sampling years (1996 to 2023). Developmental parameters and predictions of adult arrival were used to develop general and grass seed specific phenology model projections for populations in Oregon. Regionally validated phenology models can be incorporated into decision support tools to forecast the spatiotemporal occurrence of crop-damaging life stages of priority insect pests.

摘要

(鳞翅目:夜蛾科)是俄勒冈州草种和蔬菜生产系统中的一种重要害虫。对该物种进行有效管理依赖于在观察到作物受损之前,及时对未成熟幼虫进行叶面杀虫剂喷洒。区域特定的物候模型是有效区域害虫管理计划的关键组成部分,可为害虫监测和管理行动的时机提供信息。物候的季节性建模因它们的迁飞行为以及对受影响作物寄主上温度依赖发育的了解有限而变得复杂。在五个恒定温度(12至32°C)下进行了生长室实验,以确定在人工和多年生黑麦草饲料上各发育阶段的温度依赖发育情况。完成一个世代(从卵到成虫)分别需要658.71±31.49、601.98±16.01、648.47±21.35度日,人工饲料、多年生黑麦草饲料以及两种饲料类型的基础温度阈值均为9.8°C。利用非线性回归,根据从19个采样年份(1996年至2023年)的77个商业草种(n = 57)和蔬菜(n = 20)生产田的性诱捕器收集的丰度数据,用地表气温预测迁飞成虫的时间。发育参数和成虫到达的预测结果被用于为俄勒冈州的种群建立通用和草种特定的物候模型预测。经过区域验证的物候模型可纳入决策支持工具,以预测优先害虫对作物造成损害的发育阶段的时空发生情况。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/06eb/11782255/9dc6b29cfb76/finsc-04-1505524-g001.jpg

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