Near infrared spectroscopy facilitates rapid identification of both young and mature Amazonian tree species

Detalhes bibliográficos
Autor(a) principal: Lang, Carla
Data de Publicação: 2015
Outros Autores: Costa, Flávia Regina Capellotto, Camargo, José Luís Campana, Durgante, Flávia Machado, Vicentini, Alberto
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional do INPA
Texto Completo: https://repositorio.inpa.gov.br/handle/1/14693
Resumo: Precise identification of plant species requires a high level of knowledge by taxonomists and presence of reproductive material. This represents a major limitation for those working with seedlings and juveniles, which differ morphologically from adults and do not bear reproductive structures. Near-infrared spectroscopy (FT-NIR) has previously been shown to be effective in species discrimination of adult plants, so if young and adults have a similar spectral signature, discriminant functions based on FT-NIR spectra of adults can be used to identify leaves from young plants. We tested this with a sample of 419 plants in 13 Amazonian species from the genera Protium and Crepidospermum (Burseraceae). We obtained 12 spectral readings per plant, from adaxial and abaxial surfaces of dried leaves, and compared the rate of correct predictions of species with discriminant functions for different combinations of readings. We showed that the best models for predicting species in early developmental stages are those containing spectral data from both young and adult plants (98% correct predictions of external samples), but even using only adult spectra it is still possible to attain good levels of identification of young. We obtained an average of 75% correct identifications of young plants by discriminant equations based only on adults, when the most informative wavelengths were selected. Most species were accurately predicted (75-100% correct identifications), and only three had poor predictions (27-60%). These results were obtained despite the fact that spectra of young individuals were distinct from those of adults when species were analyzed individually. We concluded that FT-NIR has a high potential in the identification of species even at different ontogenetic stages, and that young plants can be identified based on spectra of adults with reasonable confidence. © 2015 Lang et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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spelling Lang, CarlaCosta, Flávia Regina CapellottoCamargo, José Luís CampanaDurgante, Flávia MachadoVicentini, Alberto2020-04-24T17:00:25Z2020-04-24T17:00:25Z2015https://repositorio.inpa.gov.br/handle/1/1469310.1371/journal.pone.0134521Precise identification of plant species requires a high level of knowledge by taxonomists and presence of reproductive material. This represents a major limitation for those working with seedlings and juveniles, which differ morphologically from adults and do not bear reproductive structures. Near-infrared spectroscopy (FT-NIR) has previously been shown to be effective in species discrimination of adult plants, so if young and adults have a similar spectral signature, discriminant functions based on FT-NIR spectra of adults can be used to identify leaves from young plants. We tested this with a sample of 419 plants in 13 Amazonian species from the genera Protium and Crepidospermum (Burseraceae). We obtained 12 spectral readings per plant, from adaxial and abaxial surfaces of dried leaves, and compared the rate of correct predictions of species with discriminant functions for different combinations of readings. We showed that the best models for predicting species in early developmental stages are those containing spectral data from both young and adult plants (98% correct predictions of external samples), but even using only adult spectra it is still possible to attain good levels of identification of young. We obtained an average of 75% correct identifications of young plants by discriminant equations based only on adults, when the most informative wavelengths were selected. Most species were accurately predicted (75-100% correct identifications), and only three had poor predictions (27-60%). These results were obtained despite the fact that spectra of young individuals were distinct from those of adults when species were analyzed individually. We concluded that FT-NIR has a high potential in the identification of species even at different ontogenetic stages, and that young plants can be identified based on spectra of adults with reasonable confidence. © 2015 Lang et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.Volume 10, Número 8Attribution-NonCommercial-NoDerivs 3.0 Brazilhttp://creativecommons.org/licenses/by-nc-nd/3.0/br/info:eu-repo/semantics/openAccessAdultBurseraceaeControlled StudyCrepidospermum RhoifoliumNear Infrared SpectroscopyNonhumanPlant LeafPlant StructuresPredictionProtium ApiculatumProtium DecandrumProtium GrandifoliumProtium HebetatumProtium KrukoffiProtium OccultumProtium PallidumProtium Paniculatum Var. NovaProtium Paniculatum Var. RiedelianumProtium SagotianumProtium SubserratumSpecies IdentificationSpectral SensitivityBrasilClassificationGrowth, Development And AgingNear Infrared SpectroscopyPhylogenyProceduresSpecies DifferenceTreeBrasilClassificationPhylogenyPlant LeavesSpecies SpecificitySpectroscopy, Near-infraredTreesNear infrared spectroscopy facilitates rapid identification of both young and mature Amazonian tree speciesinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlePLoS ONEengreponame:Repositório Institucional do INPAinstname:Instituto Nacional de Pesquisas da Amazônia (INPA)instacron:INPAORIGINALartigo-inpa.pdfapplication/pdf1340267https://repositorio.inpa.gov.br/bitstream/1/14693/1/artigo-inpa.pdfee3c71254fd4a947b81e7236584dc61cMD51CC-LICENSElicense_rdfapplication/octet-stream914https://repositorio.inpa.gov.br/bitstream/1/14693/2/license_rdf4d2950bda3d176f570a9f8b328dfbbefMD521/146932020-07-14 10:02:50.989oai:repositorio:1/14693Repositório de PublicaçõesPUBhttps://repositorio.inpa.gov.br/oai/requestopendoar:2020-07-14T14:02:50Repositório Institucional do INPA - Instituto Nacional de Pesquisas da Amazônia (INPA)false
dc.title.en.fl_str_mv Near infrared spectroscopy facilitates rapid identification of both young and mature Amazonian tree species
title Near infrared spectroscopy facilitates rapid identification of both young and mature Amazonian tree species
spellingShingle Near infrared spectroscopy facilitates rapid identification of both young and mature Amazonian tree species
Lang, Carla
Adult
Burseraceae
Controlled Study
Crepidospermum Rhoifolium
Near Infrared Spectroscopy
Nonhuman
Plant Leaf
Plant Structures
Prediction
Protium Apiculatum
Protium Decandrum
Protium Grandifolium
Protium Hebetatum
Protium Krukoffi
Protium Occultum
Protium Pallidum
Protium Paniculatum Var. Nova
Protium Paniculatum Var. Riedelianum
Protium Sagotianum
Protium Subserratum
Species Identification
Spectral Sensitivity
Brasil
Classification
Growth, Development And Aging
Near Infrared Spectroscopy
Phylogeny
Procedures
Species Difference
Tree
Brasil
Classification
Phylogeny
Plant Leaves
Species Specificity
Spectroscopy, Near-infrared
Trees
title_short Near infrared spectroscopy facilitates rapid identification of both young and mature Amazonian tree species
title_full Near infrared spectroscopy facilitates rapid identification of both young and mature Amazonian tree species
title_fullStr Near infrared spectroscopy facilitates rapid identification of both young and mature Amazonian tree species
title_full_unstemmed Near infrared spectroscopy facilitates rapid identification of both young and mature Amazonian tree species
title_sort Near infrared spectroscopy facilitates rapid identification of both young and mature Amazonian tree species
author Lang, Carla
author_facet Lang, Carla
Costa, Flávia Regina Capellotto
Camargo, José Luís Campana
Durgante, Flávia Machado
Vicentini, Alberto
author_role author
author2 Costa, Flávia Regina Capellotto
Camargo, José Luís Campana
Durgante, Flávia Machado
Vicentini, Alberto
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Lang, Carla
Costa, Flávia Regina Capellotto
Camargo, José Luís Campana
Durgante, Flávia Machado
Vicentini, Alberto
dc.subject.eng.fl_str_mv Adult
Burseraceae
Controlled Study
Crepidospermum Rhoifolium
Near Infrared Spectroscopy
Nonhuman
Plant Leaf
Plant Structures
Prediction
Protium Apiculatum
Protium Decandrum
Protium Grandifolium
Protium Hebetatum
Protium Krukoffi
Protium Occultum
Protium Pallidum
Protium Paniculatum Var. Nova
Protium Paniculatum Var. Riedelianum
Protium Sagotianum
Protium Subserratum
Species Identification
Spectral Sensitivity
Brasil
Classification
Growth, Development And Aging
Near Infrared Spectroscopy
Phylogeny
Procedures
Species Difference
Tree
Brasil
Classification
Phylogeny
Plant Leaves
Species Specificity
Spectroscopy, Near-infrared
Trees
topic Adult
Burseraceae
Controlled Study
Crepidospermum Rhoifolium
Near Infrared Spectroscopy
Nonhuman
Plant Leaf
Plant Structures
Prediction
Protium Apiculatum
Protium Decandrum
Protium Grandifolium
Protium Hebetatum
Protium Krukoffi
Protium Occultum
Protium Pallidum
Protium Paniculatum Var. Nova
Protium Paniculatum Var. Riedelianum
Protium Sagotianum
Protium Subserratum
Species Identification
Spectral Sensitivity
Brasil
Classification
Growth, Development And Aging
Near Infrared Spectroscopy
Phylogeny
Procedures
Species Difference
Tree
Brasil
Classification
Phylogeny
Plant Leaves
Species Specificity
Spectroscopy, Near-infrared
Trees
description Precise identification of plant species requires a high level of knowledge by taxonomists and presence of reproductive material. This represents a major limitation for those working with seedlings and juveniles, which differ morphologically from adults and do not bear reproductive structures. Near-infrared spectroscopy (FT-NIR) has previously been shown to be effective in species discrimination of adult plants, so if young and adults have a similar spectral signature, discriminant functions based on FT-NIR spectra of adults can be used to identify leaves from young plants. We tested this with a sample of 419 plants in 13 Amazonian species from the genera Protium and Crepidospermum (Burseraceae). We obtained 12 spectral readings per plant, from adaxial and abaxial surfaces of dried leaves, and compared the rate of correct predictions of species with discriminant functions for different combinations of readings. We showed that the best models for predicting species in early developmental stages are those containing spectral data from both young and adult plants (98% correct predictions of external samples), but even using only adult spectra it is still possible to attain good levels of identification of young. We obtained an average of 75% correct identifications of young plants by discriminant equations based only on adults, when the most informative wavelengths were selected. Most species were accurately predicted (75-100% correct identifications), and only three had poor predictions (27-60%). These results were obtained despite the fact that spectra of young individuals were distinct from those of adults when species were analyzed individually. We concluded that FT-NIR has a high potential in the identification of species even at different ontogenetic stages, and that young plants can be identified based on spectra of adults with reasonable confidence. © 2015 Lang et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
publishDate 2015
dc.date.issued.fl_str_mv 2015
dc.date.accessioned.fl_str_mv 2020-04-24T17:00:25Z
dc.date.available.fl_str_mv 2020-04-24T17:00:25Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://repositorio.inpa.gov.br/handle/1/14693
dc.identifier.doi.none.fl_str_mv 10.1371/journal.pone.0134521
url https://repositorio.inpa.gov.br/handle/1/14693
identifier_str_mv 10.1371/journal.pone.0134521
dc.language.iso.fl_str_mv eng
language eng
dc.relation.ispartof.pt_BR.fl_str_mv Volume 10, Número 8
dc.rights.driver.fl_str_mv Attribution-NonCommercial-NoDerivs 3.0 Brazil
http://creativecommons.org/licenses/by-nc-nd/3.0/br/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Attribution-NonCommercial-NoDerivs 3.0 Brazil
http://creativecommons.org/licenses/by-nc-nd/3.0/br/
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv PLoS ONE
publisher.none.fl_str_mv PLoS ONE
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reponame_str Repositório Institucional do INPA
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