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利用一致性相关系数评估西部玉米螟(鳞翅目:夜蛾科)飞行物候的度日预测模型

Degree-Day Prediction Models for the Flight Phenology of Western Bean Cutworm (Lepidoptera: Noctuidae) Assessed with the Concordance Correlation Coefficient.

作者信息

Hanson A A, Moon R D, Wright R J, Hunt T E, Hutchison W D

机构信息

University of Minnesota, Department of Entomology, 219 Hodson Hall, 1980 Folwell Ave., St. Paul, MN 55108.

University of Nebraska-Lincoln, Department of Entomology, 103 Entomology Hall, Lincoln, NE 68583.

出版信息

J Econ Entomol. 2015 Aug;108(4):1728-38. doi: 10.1093/jee/tov110. Epub 2015 May 13.

DOI:10.1093/jee/tov110
PMID:26470314
Abstract

Western bean cutworm, Striacosta albicosta (Smith) (Lepidoptera: Noctuidae), is a native, univoltine pest of corn and dry beans in North America. The current degree-day model for predicting a specified percentage of yearly moth flight involves heat unit accumulation above 10°C after 1 May. However, because the moth's observed range has expanded into the northern and eastern United States, there is concern that suitable temperatures before May could allow for significant S. albicosta development. Daily blacklight moth catch and temperature data from four Nebraska locations were used to construct degree-day models using simple or sine-wave methods, starting dates between 1 January and 1 May, and lower (-5 to 15°C) and upper (20 to 43.3°C) developmental thresholds. Predicted dates of flight from these models were compared with observed flight dates using independent datasets to assess model performance. Model performance was assessed with the concordance correlation coefficient to concurrently evaluate precision and accuracy. The best model for predicting timing of S. albicosta flight used simple degree-day calculations beginning on 1 March, a 3.3°C (38°F) lower threshold, and a 23.9°C (75°F) upper threshold. The revised cumulative flight model indicated field scouting to estimate moth egg density at the time of 25% flight should begin when 1,432 degree-days (2,577 degree-days °F) have accumulated. These results underscore the importance of assessing multiple parameters in phenological models and utilizing appropriate assessment methods, which in this case may allow for improved timing of field scouting for S. albicosta.

摘要

西部玉米螟,Striacosta albicosta (Smith)(鳞翅目:夜蛾科),是北美洲玉米和干豆的本土单化性害虫。当前用于预测年度蛾类飞行特定百分比的度日模型涉及5月1日后10°C以上的热量单位积累。然而,由于观察到该蛾类的分布范围已扩展到美国北部和东部,人们担心5月之前适宜的温度可能会使西部玉米螟大量发育。利用来自内布拉斯加州四个地点的每日黑光灯诱捕蛾类数据和温度数据,采用简单或正弦波方法、1月1日至5月1日之间的起始日期以及较低(-5至15°C)和较高(20至43.3°C)发育阈值构建度日模型。使用独立数据集将这些模型预测的飞行日期与观察到的飞行日期进行比较,以评估模型性能。使用一致性相关系数评估模型性能,以同时评估精度和准确性。预测西部玉米螟飞行时间的最佳模型采用简单度日计算,从3月1日开始,较低阈值为3.3°C(38°F),较高阈值为23.9°C(75°F)。修订后的累计飞行模型表明,当积累了1432度日(2577华氏度日)时,应开始田间巡查以估计蛾卵密度,此时飞行率达到25%。这些结果强调了在物候模型中评估多个参数以及使用适当评估方法的重要性,在这种情况下,这可能有助于改进西部玉米螟田间巡查的时间安排。

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