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Spectral Signatures of Immature Lucilia sericata (Meigen) (Diptera: Calliphoridae)

Hyperspectral remote sensing is an innovative technology with applications in many sciences and is a non-destructive method that may offer more precise aging within development stages. Hyperspectral reflectance measurements from the anterior, midsection, and posterior of Lucilia sericata (Meigen) la...

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Autores principales: Warren, Jodie-A., Ratnasekera, T. D. Pulindu, Campbell, David A., Anderson, Gail S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5492048/
https://www.ncbi.nlm.nih.gov/pubmed/28333104
http://dx.doi.org/10.3390/insects8020034
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author Warren, Jodie-A.
Ratnasekera, T. D. Pulindu
Campbell, David A.
Anderson, Gail S.
author_facet Warren, Jodie-A.
Ratnasekera, T. D. Pulindu
Campbell, David A.
Anderson, Gail S.
author_sort Warren, Jodie-A.
collection PubMed
description Hyperspectral remote sensing is an innovative technology with applications in many sciences and is a non-destructive method that may offer more precise aging within development stages. Hyperspectral reflectance measurements from the anterior, midsection, and posterior of Lucilia sericata (Meigen) larvae and pupae were conducted daily from samples of the developing insects beginning at second instar. Only midsection measurements were conducted on second instar larvae due to their size, to ensure that the measurement was not of reflective surroundings. Once measured, all insects were washed with deionized water, blotted with filter paper, and re-measured. Daily age prediction during the post-feeding stage was not impacted by the unwashed insect measurements and was best predicted based on posterior measurements. The second and third instar larvae, which move about their food source, had different contributing coefficients to the functional regression model for the hyperspectral measurements of the washed compared with unwashed specimens. Although washing did not affect the daily prediction within these stages, it is still encouraged in order to decrease the effect of food source on spectral reflectance. Days within the intra-puparial period were best predicted based on anterior measurements and were not well distinguished from one another in the first few days based on midsection and posterior measurements.
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spelling pubmed-54920482017-07-03 Spectral Signatures of Immature Lucilia sericata (Meigen) (Diptera: Calliphoridae) Warren, Jodie-A. Ratnasekera, T. D. Pulindu Campbell, David A. Anderson, Gail S. Insects Article Hyperspectral remote sensing is an innovative technology with applications in many sciences and is a non-destructive method that may offer more precise aging within development stages. Hyperspectral reflectance measurements from the anterior, midsection, and posterior of Lucilia sericata (Meigen) larvae and pupae were conducted daily from samples of the developing insects beginning at second instar. Only midsection measurements were conducted on second instar larvae due to their size, to ensure that the measurement was not of reflective surroundings. Once measured, all insects were washed with deionized water, blotted with filter paper, and re-measured. Daily age prediction during the post-feeding stage was not impacted by the unwashed insect measurements and was best predicted based on posterior measurements. The second and third instar larvae, which move about their food source, had different contributing coefficients to the functional regression model for the hyperspectral measurements of the washed compared with unwashed specimens. Although washing did not affect the daily prediction within these stages, it is still encouraged in order to decrease the effect of food source on spectral reflectance. Days within the intra-puparial period were best predicted based on anterior measurements and were not well distinguished from one another in the first few days based on midsection and posterior measurements. MDPI 2017-03-23 /pmc/articles/PMC5492048/ /pubmed/28333104 http://dx.doi.org/10.3390/insects8020034 Text en © 2017 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Warren, Jodie-A.
Ratnasekera, T. D. Pulindu
Campbell, David A.
Anderson, Gail S.
Spectral Signatures of Immature Lucilia sericata (Meigen) (Diptera: Calliphoridae)
title Spectral Signatures of Immature Lucilia sericata (Meigen) (Diptera: Calliphoridae)
title_full Spectral Signatures of Immature Lucilia sericata (Meigen) (Diptera: Calliphoridae)
title_fullStr Spectral Signatures of Immature Lucilia sericata (Meigen) (Diptera: Calliphoridae)
title_full_unstemmed Spectral Signatures of Immature Lucilia sericata (Meigen) (Diptera: Calliphoridae)
title_short Spectral Signatures of Immature Lucilia sericata (Meigen) (Diptera: Calliphoridae)
title_sort spectral signatures of immature lucilia sericata (meigen) (diptera: calliphoridae)
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5492048/
https://www.ncbi.nlm.nih.gov/pubmed/28333104
http://dx.doi.org/10.3390/insects8020034
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