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

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...

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Detalles Bibliográficos
Autores principales: Smythe, Brandon, Boxler, David, Brewer, Gary, Psota, Eric, Watson, D Wes
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7604847/
https://www.ncbi.nlm.nih.gov/pubmed/33135753
http://dx.doi.org/10.1093/jisesa/ieaa110
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author Smythe, Brandon
Boxler, David
Brewer, Gary
Psota, Eric
Watson, D Wes
author_facet Smythe, Brandon
Boxler, David
Brewer, Gary
Psota, Eric
Watson, D Wes
author_sort Smythe, Brandon
collection PubMed
description 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.
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spelling pubmed-76048472020-11-06 Using Visual and Digital Imagery to Quantify Horn Fly (Diptera: Muscidae) Densities Smythe, Brandon Boxler, David Brewer, Gary Psota, Eric Watson, D Wes J Insect Sci Special Collection: Protocols in Medical and Veterinary Entomology 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. Oxford University Press 2020-11-02 /pmc/articles/PMC7604847/ /pubmed/33135753 http://dx.doi.org/10.1093/jisesa/ieaa110 Text en © The Author(s) 2020. Published by Oxford University Press on behalf of Entomological Society of America. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Special Collection: Protocols in Medical and Veterinary Entomology
Smythe, Brandon
Boxler, David
Brewer, Gary
Psota, Eric
Watson, D Wes
Using Visual and Digital Imagery to Quantify Horn Fly (Diptera: Muscidae) Densities
title Using Visual and Digital Imagery to Quantify Horn Fly (Diptera: Muscidae) Densities
title_full Using Visual and Digital Imagery to Quantify Horn Fly (Diptera: Muscidae) Densities
title_fullStr Using Visual and Digital Imagery to Quantify Horn Fly (Diptera: Muscidae) Densities
title_full_unstemmed Using Visual and Digital Imagery to Quantify Horn Fly (Diptera: Muscidae) Densities
title_short Using Visual and Digital Imagery to Quantify Horn Fly (Diptera: Muscidae) Densities
title_sort using visual and digital imagery to quantify horn fly (diptera: muscidae) densities
topic Special Collection: Protocols in Medical and Veterinary Entomology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7604847/
https://www.ncbi.nlm.nih.gov/pubmed/33135753
http://dx.doi.org/10.1093/jisesa/ieaa110
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