用于预测纽约州 Delia platura(双翅目:Anthomyiidae)成虫春季飞行和首次出现的度日模型。

Paola Olaya-Arenas, Chloe Yi-Luo Cho, Daniel Olmstead, Anna DiPaola, Shea Crowther, Janice Degni, Jeff Miller, Aaron Gabriel, Mike Stanyard, Marion Zuefle, Jodi Letham, Katja Poveda
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引用次数: 0

摘要

籽粒蛆(Delia platura (Meigen))是一种影响包括玉米在内的多种作物的害虫。在纽约州短暂的生长季节里,成虫的早春萌发和蛆虫对地下种子的破坏使救治工作无从下手。度日(DD)模型在预测昆虫出现和成虫活动高峰期方面起着至关重要的作用,是有效防治害虫的关键。目前的 D. platura DD 模型于 2022 年在环境与天气应用网络(NEWA)上推出,该模型使用了北美其他地区的现有科学文献。NEWA 模型预测,2022 年 DD 平均值为 471 (39°F) 时,D. platura 成虫将首次出现。为了准确和精确地了解 D. platura 成虫的春季萌发和活动情况,我们使用内插温度数据来计算在野外捕获成虫的每个具体地点的 DD。DD 计算采用平均法,设定 1 月 1 日为生物固定期,基础温度为 39 华氏度。2023 年,越冬成虫平均出现在 68 DD,2022 年,成虫活动平均出现在 282 DD。准确预测 D. platura 的出现有助于为害虫综合治理战略提供信息,该战略结合了时间和文化实践,而非化学解决方案,以保护作物和环境。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Degree-day models for predicting adult Delia platura (Diptera: Anthomyiidae) spring flight and first emergence in New York State.

The seedcorn maggot, Delia platura (Meigen), is a pest affecting many crops, including corn. The early spring emergence of adults and belowground seed damage by maggots leave no room for rescue treatments during the short growing season in New York State. Degree-day (DD) models play a crucial role in predicting insect emergence and adult peak activity and are essential for effective pest management. The current D. platura DD model was launched on the Network for Environment and Weather Applications (NEWA) in 2022, using existing scientific literature from other North American regions. The NEWA model predicted adult D. platura first emergence at an average of 471 (39°F) DD in 2022. To gain an accurate and precise understanding of D. platura adult spring emergence and activity, we used interpolated temperature data to calculate the DD for each specific location where adults were captured in the field. DD calculations were performed using the average method, setting a biofix on January 1st and a base temperature of 39°F. In 2023, overwintering adults emerged at an average of 68 DD, and in 2022, adult activity was registered at an average of 282 DD. Accurately predicting the emergence of D. platura could contribute to informing integrated pest management strategies that incorporate timing and cultural practices over chemical solutions to protect crops and the environment.

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