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预测未成熟加拿大田蓟茎潜象甲(Hadroplontus litura,鞘翅目:象甲科)的发育时间

Predicting Developmental Timing for Immature Canada Thistle Stem-Mining Weevils, Hadroplontus litura (Coleoptera: Curculionidae).

作者信息

Gramig Greta G, Burns Erin E, Prischmann-Voldseth Deirdre A

机构信息

Department of Plant Sciences, North Dakota State University, Dept. 7670, PO Box 6050, Fargo, ND 58108-6050.

Department of Land Resources and Environmental Sciences, Montana State University, PO Box 173120, Bozeman, MT 59717-3120.

出版信息

Environ Entomol. 2015 Aug;44(4):1085-94. doi: 10.1093/ee/nvv089. Epub 2015 Jun 23.

Abstract

Predictions of phenological development for insect biological control agents may facilitate post-release monitoring efforts by allowing land managers to optimize the timing of monitoring activities. A logistic thermal time model was tested to predict phenology of immature stem-mining weevils, Hadroplontus litura F. (Coleoptera: Curculionidae), a biological control agent for Canada thistle, Cirsium arvense L. (Asterales: Asteraceae). Weevil eggs and larvae were collected weekly from Canada thistle stems in eastern North Dakota from May through July during 2010 and 2011. Head capsule widths of sampled larvae were measured at the widest point and plotted on a frequency histogram to establish ranges of head capsule widths associated with each instar. We found head capsule width ranges for first-, second-, and third-instar H. litura larvae were 165-324 µm, 346-490 µm, and 506-736 µm, respectively. Logistic regression models were developed to estimate the proportions of H. litura eggs, first-, and second-instar larvae in the weevil population as a function of thermal time. Model estimates of median development time for eggs, first instars, and second instars ranged from 219 ± 23 degree-days (DD) to 255 ± 27 DD, 556 ± 77 DD to 595 ± 81 DD, and 595 ± 109 DD to 653 ± 108 DD, respectively. Based on model validation statistics, model estimates for development timing were the most accurate for eggs and first instars and somewhat less accurate for second instars. These model predictions will help biological control practitioners obtain more accurate estimates of weevil population densities during post-release monitoring.

摘要

对昆虫生物防治剂物候发育的预测,可让土地管理者优化监测活动的时间安排,从而有助于释放后监测工作。测试了一个逻辑斯蒂热时间模型,以预测未成熟的茎干象甲Hadroplontus litura F.(鞘翅目:象甲科)的物候,它是加拿大飞蓬Cirsium arvense L.(菊目:菊科)的一种生物防治剂。2010年和2011年5月至7月期间,每周从北达科他州东部的加拿大飞蓬茎干上收集象甲的卵和幼虫。测量所采集幼虫头部最宽处的头壳宽度,并绘制在频率直方图上,以确定与各龄期相关的头壳宽度范围。我们发现,第一、第二和第三龄期的H. litura幼虫的头壳宽度范围分别为165 - 324微米、346 - 490微米和506 - 736微米。建立了逻辑回归模型,以估计象甲种群中H. litura卵、第一龄和第二龄幼虫的比例作为热时间的函数。卵、第一龄和第二龄幼虫的中位发育时间的模型估计范围分别为219±23度日(DD)至255±27 DD、556±77 DD至595±81 DD以及595±109 DD至653±108 DD。根据模型验证统计数据,发育时间的模型估计对卵和第一龄幼虫最准确,对第二龄幼虫的准确性稍低。这些模型预测将有助于生物防治从业者在释放后监测期间更准确地估计象甲种群密度。

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