Scribner Hazel F, Murrell Ebony G, Chérémond Nervah E, Abshire Jennifer, Castaldi Joseph, Zhu Kun Yan, Morrison William R
Department of Entomology, Kansas State University, Manhattan, KS, USA.
The Land Institute, Salina, KS, USA.
J Econ Entomol. 2025 Aug 29;118(4):1711-1720. doi: 10.1093/jee/toaf107.
Eucosma giganteana (Riley) (Lepidoptera: Tortricidae) is a specialist pest on Silphium spp. including Silphium integrifolium. This pest is currently one of the major limiting factors to the development and commercialization of S. integrifolium in Kansas as a more sustainable oilseed alternative within its native range. One of the factors making E. giganteana difficult to manage is the lack of knowledge about when pest management tactics should be applied for maximum effect. To aid with proper timing, our objectives were to determine a lower activity threshold, then use it to develop a growing degree day model to estimate important phenological events in the life history of adult E. giganteana in the field. In addition, we found a good fit between the actual phenological events for E. giganteana from 2020, 2023, and 2024 and the predicted phenological events from trapping data collected in 2019 in Salina, Kansas. The lower activity threshold was determined to be 17 °C using a series of environmental chamber experiments with overwintering E. giganteana larvae. Furthermore, we found a significant correlation between predicted growing degree days for phenological events in 2019 and the actual degree day measurements for those events in subsequent years. Finally, the model was able to accurately predict adult E. giganteana emergence in the field during 2024. We anticipate the model will continue to provide accurate predictions for the coming years, which would allow for improved timing of pest management practices for E. giganteana to be implemented.
巨桉小卷蛾(Eucosma giganteana (Riley))(鳞翅目:卷蛾科)是包括全叶金光菊(Silphium integrifolium)在内的金光菊属(Silphium spp.)植物的一种专食性害虫。这种害虫目前是堪萨斯州全叶金光菊作为其原生范围内更具可持续性的油籽替代品进行开发和商业化的主要限制因素之一。导致巨桉小卷蛾难以管理的因素之一是缺乏关于何时应用害虫管理策略以达到最大效果的知识。为了帮助确定合适的时机,我们的目标是确定一个较低的活动阈值,然后利用它来建立一个生长度日模型,以估计田间成年巨桉小卷蛾生活史中的重要物候事件。此外,我们发现2020年、2023年和2024年巨桉小卷蛾的实际物候事件与2019年在堪萨斯州萨利纳收集的诱捕数据预测的物候事件之间拟合良好。通过对越冬巨桉小卷蛾幼虫进行一系列环境箱实验,确定较低活动阈值为17°C。此外,我们发现2019年物候事件的预测生长度日与随后几年这些事件的实际度日测量值之间存在显著相关性。最后,该模型能够准确预测2024年田间成年巨桉小卷蛾的羽化情况。我们预计该模型在未来几年将继续提供准确的预测,这将有助于改进对巨桉小卷蛾实施害虫管理措施的时机。