D'Ottavio Marie, Boquel Sébastien, Labrie Geneviève, Lucas Eric
Laboratoire de Lutte Biologique, Département des Sciences Biologiques, Université du Québec à Montréal (UQAM), Case Postale 8888, Succursale Centre-Ville, Montréal, QC H3C 3P8, Canada.
Centre de Recherche Sur Les Grains Inc. (CÉROM), 740, Chemin Trudeau, Saint-Mathieu-de-Beloeil, QC J3G 0E2, Canada.
Insects. 2023 Mar 28;14(4):327. doi: 10.3390/insects14040327.
The cabbage seedpod weevil (CSW), , an exotic pest accidentally introduced in North America in 1931, spread all over this continent and is now a major pest of canola crops. One of its main natural enemies in Europe, , was observed in eastern Canada in 2009. This study aimed to evaluate the landscape influence on CSW infestation and abundance and on parasitism in Quebec to understand the optimal conditions to potentially release this parasitoid in the Canadian Prairies. Field research was conducted in 19 to 28 canola fields per year, from 2015 to 2020, among eight Quebec regions. CSW was sampled by sweep net during canola blooming and parasitoids by collecting canola pods kept in emergence boxes until adults emerge. Infestation and parasitism calculations were based on pod emergence holes. For analysis, 20 landscape predictors were considered. Results show that CSW infestation and abundance increased if there were more roads and cereal crops in the landscapes. Meanwhile, parasitism decreased when hedgerows length and distance from water were longer. However, it increased when landscape diversity and average crop perimeter-to-area ratio were higher, and along with more hay/pastures and soybean crops. This study's results highlight that these four landscape predictors could provide more resources and overwintering areas, promoting greater efficiency of to control the CSW.
甘蓝籽象甲(CSW)是1931年意外引入北美的一种外来害虫,已蔓延至整个北美洲大陆,如今成为油菜作物的主要害虫。2009年在加拿大东部发现了其在欧洲的主要天敌之一。本研究旨在评估魁北克地区景观对甘蓝籽象甲侵染、数量以及寄生情况的影响,以了解在加拿大大草原潜在释放这种寄生蜂的最佳条件。2015年至2020年期间,每年在魁北克的八个地区的19至28个油菜田中进行田间研究。在油菜开花期间用扫网对甘蓝籽象甲进行采样,通过收集置于羽化箱中的油菜荚直至成虫羽化来采集寄生蜂。侵染和寄生情况的计算基于荚上的羽化孔。分析时考虑了20个景观预测因子。结果表明,如果景观中有更多道路和谷类作物,甘蓝籽象甲的侵染和数量会增加。与此同时,当树篱长度和与水的距离更长时,寄生情况会减少。然而,当景观多样性和平均作物周长与面积比更高时,以及有更多干草/牧场和大豆作物时,寄生情况会增加。本研究结果突出表明,这四个景观预测因子可以提供更多资源和越冬区域,提高寄生蜂控制甘蓝籽象甲的效率。