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利用视觉和数字图像量化角蝇(双翅目:蝇科)密度。

Using Visual and Digital Imagery to Quantify Horn Fly (Diptera: Muscidae) Densities.

机构信息

The Center for Animal Health and Food Safety, New Mexico State University, Las Cruces, NM.

Department of Entomology, University of Nebraska, Lincoln, NE.

出版信息

J Insect Sci. 2020 Nov 1;20(6). doi: 10.1093/jisesa/ieaa110.

Abstract

The horn fly, Haematobia irritans L. (Diptera: Muscidae), is a persistent pest of cattle globally. A threshold of 200 flies per animal is considered the standard management goal; however, determining when that threshold has been exceeded is difficult using visual estimates that tend to overestimate the actual fly densities and are, at best, subjective. As a result, a more reliable and durable method of determining horn fly densities is needed. Here, we describe the methods commonly used to quantify horn fly densities including visual estimates and digital photography, and provide examples of quantification software and the prospect for computer automation methods.

摘要

角蝇,Haematobia irritans L.(双翅目:蝇科),是全球牛群中一种顽固的害虫。每头动物 200 只苍蝇的阈值被认为是标准的管理目标;然而,使用往往高估实际苍蝇密度的视觉估计来确定何时超过该阈值是困难的,而且在最好的情况下也是主观的。因此,需要一种更可靠和耐用的方法来确定角蝇密度。在这里,我们描述了常用的量化角蝇密度的方法,包括视觉估计和数码摄影,并提供了量化软件的示例以及计算机自动化方法的前景。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6061/7604847/9b616be73aba/ieaa110_fig1.jpg

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