Discrimination of taxonomic identity at species, genus and family levels using Fourier Transformed Near-Infrared Spectroscopy (FT-NIR)

Lang, Carla; Almeida, Danilo Roberti Alves de; Costa, Flávia Regina Capellotto

Artigo

Discrimination of taxonomic identity at species, genus and family levels using Fourier Transformed Near-Infrared Spectroscopy (FT-NIR)

Fourier Transformed Near-Infrared Spectroscopy (FT-NIR) has previously been shown to be effective in species discrimination of plant species, this prompted us to ask if higher taxonomic levels could also be discriminated, and if discrimination based on branch pieces would be equally efficient or bet...

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Autor principal:	Lang, Carla
Outros Autores:	Almeida, Danilo Roberti Alves de, Costa, Flávia Regina Capellotto
Grau:	Artigo
Idioma:	English
Publicado em:	Forest Ecology and Management 2020
Assuntos:	Discriminant Analysis Fourier Transforms Near Infrared Spectroscopy Plants (botany) Branch Discrimination Fourier Leaf Species Infrared Devices Discriminant Analysis Ftir Spectroscopy Identification Method Leaf Plant Taxonomy Infrared Spectroscopy Species Identification Trees Amazonia
Acesso em linha:	https://repositorio.inpa.gov.br/handle/1/16998

id	oai:repositorio:1-16998
recordtype	dspace
spelling	oai:repositorio:1-16998 Discrimination of taxonomic identity at species, genus and family levels using Fourier Transformed Near-Infrared Spectroscopy (FT-NIR) Lang, Carla Almeida, Danilo Roberti Alves de Costa, Flávia Regina Capellotto Discriminant Analysis Fourier Transforms Near Infrared Spectroscopy Plants (botany) Branch Discrimination Fourier Leaf Species Infrared Devices Discriminant Analysis Ftir Spectroscopy Identification Method Leaf Plant Taxonomy Infrared Spectroscopy Species Identification Trees Amazonia Fourier Transformed Near-Infrared Spectroscopy (FT-NIR) has previously been shown to be effective in species discrimination of plant species, this prompted us to ask if higher taxonomic levels could also be discriminated, and if discrimination based on branch pieces would be equally efficient or better than based on leaves. We tested this with a sample of 384 branches and 349 leaves of 40 Amazonian species. We obtained spectral readings of dry branch and leaf material, and compared the rate of correct predictions of species, genera and family with a classifier based on Linear Discriminant Analysis (LDA). Discrimination of species, genus and family with Fourier Transformed Near-Infrared Spectroscopy (FT-NIR) was good using either branches or leaves. We obtained an average of 90.8% correct species identifications over all species based on branch FT-NIR profiles, and 94.1% based on leaves. Also, we obtained more than 95% correct genus and family identifications. Most of the identification errors occurred among species, genera and families of distinct clades. Near-infrared spectroscopy has great potential for discriminating species from branch samples and is suitable to discriminate a diverse range of genera and families of Amazonian trees. © 2017 Elsevier B.V. 2020-06-15T21:37:57Z 2020-06-15T21:37:57Z 2017 Artigo https://repositorio.inpa.gov.br/handle/1/16998 10.1016/j.foreco.2017.09.003 en Volume 406, Pags. 219-227 Restrito Forest Ecology and Management
institution	Instituto Nacional de Pesquisas da Amazônia - Repositório Institucional
collection	INPA-RI
language	English
topic	Discriminant Analysis Fourier Transforms Near Infrared Spectroscopy Plants (botany) Branch Discrimination Fourier Leaf Species Infrared Devices Discriminant Analysis Ftir Spectroscopy Identification Method Leaf Plant Taxonomy Infrared Spectroscopy Species Identification Trees Amazonia
spellingShingle	Discriminant Analysis Fourier Transforms Near Infrared Spectroscopy Plants (botany) Branch Discrimination Fourier Leaf Species Infrared Devices Discriminant Analysis Ftir Spectroscopy Identification Method Leaf Plant Taxonomy Infrared Spectroscopy Species Identification Trees Amazonia Lang, Carla Discrimination of taxonomic identity at species, genus and family levels using Fourier Transformed Near-Infrared Spectroscopy (FT-NIR)
topic_facet	Discriminant Analysis Fourier Transforms Near Infrared Spectroscopy Plants (botany) Branch Discrimination Fourier Leaf Species Infrared Devices Discriminant Analysis Ftir Spectroscopy Identification Method Leaf Plant Taxonomy Infrared Spectroscopy Species Identification Trees Amazonia
description	Fourier Transformed Near-Infrared Spectroscopy (FT-NIR) has previously been shown to be effective in species discrimination of plant species, this prompted us to ask if higher taxonomic levels could also be discriminated, and if discrimination based on branch pieces would be equally efficient or better than based on leaves. We tested this with a sample of 384 branches and 349 leaves of 40 Amazonian species. We obtained spectral readings of dry branch and leaf material, and compared the rate of correct predictions of species, genera and family with a classifier based on Linear Discriminant Analysis (LDA). Discrimination of species, genus and family with Fourier Transformed Near-Infrared Spectroscopy (FT-NIR) was good using either branches or leaves. We obtained an average of 90.8% correct species identifications over all species based on branch FT-NIR profiles, and 94.1% based on leaves. Also, we obtained more than 95% correct genus and family identifications. Most of the identification errors occurred among species, genera and families of distinct clades. Near-infrared spectroscopy has great potential for discriminating species from branch samples and is suitable to discriminate a diverse range of genera and families of Amazonian trees. © 2017 Elsevier B.V.
format	Artigo
author	Lang, Carla
author2	Almeida, Danilo Roberti Alves de Costa, Flávia Regina Capellotto
author2Str	Almeida, Danilo Roberti Alves de Costa, Flávia Regina Capellotto
title	Discrimination of taxonomic identity at species, genus and family levels using Fourier Transformed Near-Infrared Spectroscopy (FT-NIR)
title_short	Discrimination of taxonomic identity at species, genus and family levels using Fourier Transformed Near-Infrared Spectroscopy (FT-NIR)
title_full	Discrimination of taxonomic identity at species, genus and family levels using Fourier Transformed Near-Infrared Spectroscopy (FT-NIR)
title_fullStr	Discrimination of taxonomic identity at species, genus and family levels using Fourier Transformed Near-Infrared Spectroscopy (FT-NIR)
title_full_unstemmed	Discrimination of taxonomic identity at species, genus and family levels using Fourier Transformed Near-Infrared Spectroscopy (FT-NIR)
title_sort	discrimination of taxonomic identity at species, genus and family levels using fourier transformed near-infrared spectroscopy (ft-nir)
publisher	Forest Ecology and Management
publishDate	2020
url	https://repositorio.inpa.gov.br/handle/1/16998
_version_	1787143554469986304
score	11.755432

Discrimination of taxonomic identity at species, genus and family levels using Fourier Transformed Near-Infrared Spectroscopy (FT-NIR)

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