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玉米根节害虫压力预测:POPP-玉米模型。

Prediction of pest pressure on corn root nodes: the POPP-Corn model.

作者信息

Agatz Annika, Ashauer Roman, Sweeney Paul, Brown Colin D

机构信息

Environment Department, University of York, Heslington, York, UK.

Syngenta, Jealott's Hill, Bracknell, UK.

出版信息

J Pest Sci (2004). 2017;90(1):161-172. doi: 10.1007/s10340-016-0788-x. Epub 2016 Jun 21.

DOI:10.1007/s10340-016-0788-x
PMID:28217038
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5290061/
Abstract

A model for the corn rootworm spp. combined with a temporally explicit model for development of corn roots across the soil profile was developed to link pest ecology, root damage and yield loss. Development of the model focused on simulating root damage from rootworm feeding in accordance with observations in the field to allow the virtual testing of efficacy from management interventions in the future. We present the model and demonstrate its applicability for simulating root damage by comparison between observed and simulated pest development and root damage (assessed according to the node injury scale from 0 to 3) for field studies from the literature conducted in Urbana, Illinois (US), between 1991 and 2014. The model simulated the first appearance of larvae and adults to within a week of that observed in 88 and 71 % of all years, respectively, and in all cases to within 2 weeks of the first sightings recorded for central Illinois. Furthermore, in 73 % of all years simulated root damage differed by <0.5 node injury scale points compared to the observations made in the field between 2005 and 2014 even though accurate information for initial pest pressure (i.e. number of eggs in the soil) was not measured at the sites or available from nearby locations. This is, to our knowledge, the first time that pest ecology, root damage and yield loss have been successfully interlinked to produce a virtual field. There are potential applications in investigating efficacy of different pest control measures and strategies.

摘要

开发了一种针对玉米根萤叶甲属昆虫的模型,并结合了一个用于模拟玉米根系在整个土壤剖面中发育的时间明确模型,以将害虫生态学、根系损伤和产量损失联系起来。该模型的开发重点是根据田间观察结果模拟根萤叶甲取食造成的根系损伤,以便未来对管理干预措施的效果进行虚拟测试。我们展示了该模型,并通过比较1991年至2014年在美国伊利诺伊州厄巴纳进行的田间研究中观察到的和模拟的害虫发育及根系损伤(根据0至3的节点损伤量表评估),证明了其在模拟根系损伤方面的适用性。该模型分别在88%和71%的年份中模拟出幼虫和成虫的首次出现时间,与观察结果相差在一周以内,并且在所有情况下都在伊利诺伊州中部首次记录时间的两周以内。此外,在73%的年份中,尽管在这些地点没有测量或从附近地点获取初始害虫压力(即土壤中的卵数)的准确信息,但模拟的根系损伤与2005年至2014年田间观察结果相比,相差不到0.5个节点损伤量表点数。据我们所知,这是首次成功地将害虫生态学、根系损伤和产量损失联系起来,创建了一个虚拟田间环境。该模型在研究不同害虫控制措施和策略的效果方面具有潜在应用价值。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71d3/5290061/d1825c90ff61/10340_2016_788_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71d3/5290061/02fc90f2cfad/10340_2016_788_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71d3/5290061/4c2cec59d85b/10340_2016_788_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71d3/5290061/d1825c90ff61/10340_2016_788_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71d3/5290061/02fc90f2cfad/10340_2016_788_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71d3/5290061/4c2cec59d85b/10340_2016_788_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71d3/5290061/d1825c90ff61/10340_2016_788_Fig3_HTML.jpg

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PLoS One. 2012;7(5):e37726. doi: 10.1371/journal.pone.0037726. Epub 2012 May 18.
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A multi-scale, landscape approach to predicting insect populations in agroecosystems.多尺度景观方法预测农业生态系统中的昆虫种群。
Ecol Appl. 2011 Jul;21(5):1782-91. doi: 10.1890/10-0241.1.
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Physiological time model for predicting adult emergence of western corn rootworm (Coleoptera: Chrysomelidae) in the Texas High Plains.
J Econ Entomol. 2008 Oct;101(5):1584-93. doi: 10.1603/0022-0493(2008)101[1584:ptmfpa]2.0.co;2.
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Diabrotica virgifera virgifera (Coleoptera: Chrysomelidae) larval feeding behavior on transgenic maize (MON 863) and its isoline.西方玉米根萤叶甲(鞘翅目:叶甲科)幼虫对转基因玉米(MON 863)及其近等基因系的取食行为
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Node-injury scale to evaluate root injury by corn rootworms (Coleoptera: Chrysomelidae).用于评估玉米根萤叶甲(鞘翅目:叶甲科)对根系损伤的节点损伤量表
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Stochastic dynamic population model for northern corn rootworm (Coleoptera: Chrysomelidae).北方玉米根萤叶甲(鞘翅目:叶甲科)的随机动态种群模型
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