使用度日模型和基于日历的方法评估西部山间地区对billbugs (Sphenophorus spp.)的杀虫剂施用时间

Pub Date : 2023-09-27 DOI:10.1002/cft2.20252
Adam Van Dyke, Desireè Wickwar, Madeleine M. Dupuy, Ricardo A. Ramirez
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引用次数: 0

摘要

历史上,针对bill臭虫的杀虫剂使用时间的建议是基于成虫的活动和相应的度日(DD)模型,该模型针对美国东部进行了优化。最近为犹他州和爱达荷州的billbugs开发了一个DD模型,该模型基于栖息在山间西部(IMW)地区的物种物候学,改进了成虫活动的预测。然而,时间安排仍然遵循美国东部的建议,并且尚未在IMW的现场应用中得到验证。以犹他州-爱达荷州模型为基础,采用东部推荐的30%和50%的成虫活度(陷阱收集的成虫)处理阈值,对合成杀虫剂Merit 75 WP和Acelepryn 1.67 SC以及生物杀虫剂Grandevo和Venerate的幼虫控制效果进行了为期两年的评估。在这些成虫羽化阈值使用杀虫剂,在犹他州预防和治疗地控制了75%的billbug幼虫,证实了这些是在犹他州-爱达荷州模型中使用杀虫剂的适当行动阈值。在这些推荐时间周围的不同日历日期施用杀虫剂,但根据现场历史和天气,犹他州的专业施用者通常会分配模型计算的DD,以便在犹他州-爱达荷州模型中进行测试。专业施药者在模型预测时间内进行处理的实例导致幼虫减少,进一步验证了模型参数是该地区的良好建议,应该采用。此外,一些基于日历的施药时间早于或晚于基于模型预测的最佳施药时间都是有效的,这表明施药者在针对幼虫施药时具有灵活性。
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Evaluating insecticide application timings against billbugs (Sphenophorus spp.) using a degree-day model and calendar-based approach in the Intermountain West

Recommendations for timing insecticides against billbugs have historically been based on adult activity and a corresponding degree-day (DD) model that is optimized for the eastern United States. A DD model was recently developed for billbugs in Utah and Idaho that refines predictions of adult activity based on the phenology of species that inhabit the Intermountain West (IMW) region. However, timings still follow eastern US recommendations and have not been verified with field applications in the IMW. We evaluated the synthetic insecticides Merit 75 WP and Acelepryn 1.67 SC and the bioinsecticides Grandevo and Venerate for controlling larvae when using the eastern recommended treatment thresholds of 30% and 50% adult activity (adults collected in pitfall traps) based on the Utah–Idaho model for two years. Applications of insecticides at these adult emergence thresholds provided >75% control of billbug larvae preventively and curatively in Utah, confirming these are appropriate action thresholds to use in the Utah–Idaho model to time insecticides. Insecticides applied at various calendar dates around these recommended timings, but typical for a professional applicator in Utah based on site history and weather, were assigned model-calculated DD for testing in the Utah–Idaho model. Instances where a professional applicator treated within model-predicted timings resulted in larval reductions, further validating that the model parameters are good recommendations for the region and should be adopted. Additionally, several calendar-based applications made earlier or later than optimal timings based on model predictions were effective, suggesting that applicators have flexibility for timing applications when targeting larvae.

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