Statistical models to predict densities of Sitophilus zeamais adults in wheat warehouse using probe traps

被引：5

作者：

Zhang, Hao ^{[1
]}

Wang, Dianxuan ^{[1
]}

Jian, Fuji ^{[2
]}

机构：

[1] Henan Univ Technol, Collaborat Innovat Ctr Henan Grain Crops, Henan Collaborat Innovat Ctr Grain Storage & Secu, Zhengzhou 450001, Peoples R China

[2] Univ Manitoba, Dept Biosyst Engn, Winnipeg, MB R3T 5V6, Canada

来源：

JOURNAL OF STORED PRODUCTS RESEARCH | 2020年 / 89卷

关键词：

Insect density prediction; Sitophilus zeamais adults; Probe traps; Trapping frequency; Statistical model; CRYPTOLESTES-FERRUGINEUS COLEOPTERA; STORED-WHEAT; DIFFERENT TEMPERATURES; SPATIAL-DISTRIBUTION; MOISTURE CONTENTS; TRIBOLIUM-CASTANEUM; AFFECTING CAPTURE; SAMPLE UNIT; GRAIN; LAEMOPHLOEIDAE;

D O I：

10.1016/j.jspr.2020.101722

中图分类号：

Q96 [昆虫学];

学科分类号：

摘要：

Statistical models were developed to estimate the density of Sitophilus zeamais adults in a flat storage warehouse holding 230 tonne of wheat with 12.4 +/- 0.2% (wet basis) moisture content at 18-33 degrees C. Published data were used to develop the models. To valid the developed models, trapping and manual sampling with 15 kg of sampling unit at five locations were conducted in the warehouse for more than 10 wk. Insect densities were calculated by using the developed models and the trapping frequency and temperatures at the sampling locations. The developed models were validated by calculating the average magnitude of relative error (MRE), regression slope, and residues between the calculated and measured insect densities. Three models were developed, and the best model was a linear model. The linear model could explain 96% of the measured insect densities. The temperature on the density prediction has a natural exponential effect. (C) 2020 Elsevier Ltd. All rights reserved.

引用

页数：8

共 34 条

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