Development of Calibration Models to Predict Mean Fibre Diameter in Llama (Lama glama) Fleeces with Near Infrared Spectroscopy

Autores
Amorena, José Ignacio; Álvarez, Dolores María Eugenia; Fernández-Ahumada, Elvira
Año de publicación
2021
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Llama fibre has the potential to become the most valuable textile resource in the Puna region of Argentina. In this study near infrared reflectance spectroscopy was evaluated to predict the mean fibre diameter in llama fleeces. Analyses between sets of carded and non-carded samples in combination with spectral preprocessing techniques were carried out and a total of 169 spectral signatures of llama samples in Vis and NIR ranges (400–2500 nm) were obtained. Spectral preprocessing consisted in wavelength selection (Vis–NIR, NIR and discrete ranges) and multiplicative and derivative pretreatments; spectra without pretreatments were also included, while modified partial least squares (M-PLS) regression was used to develop prediction models. Predictability was evaluated through R2: standard cross validation error (SECV), external validation error (SEV) and residual predictive value (RPD). A total of 54 calibration models were developed in which the best model (R2 = 0.67; SECV = 1.965; SEV = 2.235 and RPD = 1.91) was obtained in the Vis–NIR range applying the first derivative pretreatment. ANOVA analysis showed differences between carded and non-carded sets and the models obtained could be used in screening programs and contribute to valorisation of llama fibre and sustainable development of textile industry in the Puna territory of Catamarca. The data presented in this paper are a contribution to enhance the scarce information on this subject.
EEA Catamarca
Fil: Amorena, José Ignacio. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Catamarca; Argentina
Fil: Álvarez, Dolores María Eugenia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro de Investigación y Tecnología Química (CITeQ); Argentina
Fil: Álvarez, Dolores María Eugenia. Universidad Tecnológica Nacional. Centro de Investigación y Tecnología Química (CITeQ); Argentina
Fil: Fernández-Ahumada, Elvira. Universidad de Córdoba. Departamento de Matemáticas; España
Fuente
Animals 11 (7) : 1998 (July 2021)
Materia
Llama
Fibras Textiles
Calidad de la Fibra
Modelos
Espectroscopia Infrarroja
Llamas
Textile Fibres
Fibre Quality
Models
Infrared Spectrophotometry
Lama glama
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
INTA Digital (INTA)
Institución
Instituto Nacional de Tecnología Agropecuaria
OAI Identificador
oai:localhost:20.500.12123/9870
Acceder
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oai_identifier_str oai:localhost:20.500.12123/9870
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network_name_str INTA Digital (INTA)
spelling Development of Calibration Models to Predict Mean Fibre Diameter in Llama (Lama glama) Fleeces with Near Infrared SpectroscopyAmorena, José IgnacioÁlvarez, Dolores María EugeniaFernández-Ahumada, ElviraLlamaFibras TextilesCalidad de la FibraModelosEspectroscopia InfrarrojaLlamasTextile FibresFibre QualityModelsInfrared SpectrophotometryLama glamaLlama fibre has the potential to become the most valuable textile resource in the Puna region of Argentina. In this study near infrared reflectance spectroscopy was evaluated to predict the mean fibre diameter in llama fleeces. Analyses between sets of carded and non-carded samples in combination with spectral preprocessing techniques were carried out and a total of 169 spectral signatures of llama samples in Vis and NIR ranges (400–2500 nm) were obtained. Spectral preprocessing consisted in wavelength selection (Vis–NIR, NIR and discrete ranges) and multiplicative and derivative pretreatments; spectra without pretreatments were also included, while modified partial least squares (M-PLS) regression was used to develop prediction models. Predictability was evaluated through R2: standard cross validation error (SECV), external validation error (SEV) and residual predictive value (RPD). A total of 54 calibration models were developed in which the best model (R2 = 0.67; SECV = 1.965; SEV = 2.235 and RPD = 1.91) was obtained in the Vis–NIR range applying the first derivative pretreatment. ANOVA analysis showed differences between carded and non-carded sets and the models obtained could be used in screening programs and contribute to valorisation of llama fibre and sustainable development of textile industry in the Puna territory of Catamarca. The data presented in this paper are a contribution to enhance the scarce information on this subject.EEA CatamarcaFil: Amorena, José Ignacio. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Catamarca; ArgentinaFil: Álvarez, Dolores María Eugenia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro de Investigación y Tecnología Química (CITeQ); ArgentinaFil: Álvarez, Dolores María Eugenia. Universidad Tecnológica Nacional. Centro de Investigación y Tecnología Química (CITeQ); ArgentinaFil: Fernández-Ahumada, Elvira. Universidad de Córdoba. Departamento de Matemáticas; EspañaMDPI2021-07-22T16:45:32Z2021-07-22T16:45:32Z2021-07info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttp://hdl.handle.net/20.500.12123/9870https://www.mdpi.com/2076-2615/11/7/19982076-2615https://doi.org/10.3390/ani11071998Animals 11 (7) : 1998 (July 2021)reponame:INTA Digital (INTA)instname:Instituto Nacional de Tecnología Agropecuariaenginfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)2025-09-29T13:45:17Zoai:localhost:20.500.12123/9870instacron:INTAInstitucionalhttp://repositorio.inta.gob.ar/Organismo científico-tecnológicoNo correspondehttp://repositorio.inta.gob.ar/oai/requesttripaldi.nicolas@inta.gob.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:l2025-09-29 13:45:17.724INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuariafalse
dc.title.none.fl_str_mv Development of Calibration Models to Predict Mean Fibre Diameter in Llama (Lama glama) Fleeces with Near Infrared Spectroscopy
title Development of Calibration Models to Predict Mean Fibre Diameter in Llama (Lama glama) Fleeces with Near Infrared Spectroscopy
spellingShingle Development of Calibration Models to Predict Mean Fibre Diameter in Llama (Lama glama) Fleeces with Near Infrared Spectroscopy
Amorena, José Ignacio
Llama
Fibras Textiles
Calidad de la Fibra
Modelos
Espectroscopia Infrarroja
Llamas
Textile Fibres
Fibre Quality
Models
Infrared Spectrophotometry
Lama glama
title_short Development of Calibration Models to Predict Mean Fibre Diameter in Llama (Lama glama) Fleeces with Near Infrared Spectroscopy
title_full Development of Calibration Models to Predict Mean Fibre Diameter in Llama (Lama glama) Fleeces with Near Infrared Spectroscopy
title_fullStr Development of Calibration Models to Predict Mean Fibre Diameter in Llama (Lama glama) Fleeces with Near Infrared Spectroscopy
title_full_unstemmed Development of Calibration Models to Predict Mean Fibre Diameter in Llama (Lama glama) Fleeces with Near Infrared Spectroscopy
title_sort Development of Calibration Models to Predict Mean Fibre Diameter in Llama (Lama glama) Fleeces with Near Infrared Spectroscopy
dc.creator.none.fl_str_mv Amorena, José Ignacio
Álvarez, Dolores María Eugenia
Fernández-Ahumada, Elvira
author Amorena, José Ignacio
author_facet Amorena, José Ignacio
Álvarez, Dolores María Eugenia
Fernández-Ahumada, Elvira
author_role author
author2 Álvarez, Dolores María Eugenia
Fernández-Ahumada, Elvira
author2_role author
author
dc.subject.none.fl_str_mv Llama
Fibras Textiles
Calidad de la Fibra
Modelos
Espectroscopia Infrarroja
Llamas
Textile Fibres
Fibre Quality
Models
Infrared Spectrophotometry
Lama glama
topic Llama
Fibras Textiles
Calidad de la Fibra
Modelos
Espectroscopia Infrarroja
Llamas
Textile Fibres
Fibre Quality
Models
Infrared Spectrophotometry
Lama glama
dc.description.none.fl_txt_mv Llama fibre has the potential to become the most valuable textile resource in the Puna region of Argentina. In this study near infrared reflectance spectroscopy was evaluated to predict the mean fibre diameter in llama fleeces. Analyses between sets of carded and non-carded samples in combination with spectral preprocessing techniques were carried out and a total of 169 spectral signatures of llama samples in Vis and NIR ranges (400–2500 nm) were obtained. Spectral preprocessing consisted in wavelength selection (Vis–NIR, NIR and discrete ranges) and multiplicative and derivative pretreatments; spectra without pretreatments were also included, while modified partial least squares (M-PLS) regression was used to develop prediction models. Predictability was evaluated through R2: standard cross validation error (SECV), external validation error (SEV) and residual predictive value (RPD). A total of 54 calibration models were developed in which the best model (R2 = 0.67; SECV = 1.965; SEV = 2.235 and RPD = 1.91) was obtained in the Vis–NIR range applying the first derivative pretreatment. ANOVA analysis showed differences between carded and non-carded sets and the models obtained could be used in screening programs and contribute to valorisation of llama fibre and sustainable development of textile industry in the Puna territory of Catamarca. The data presented in this paper are a contribution to enhance the scarce information on this subject.
EEA Catamarca
Fil: Amorena, José Ignacio. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Catamarca; Argentina
Fil: Álvarez, Dolores María Eugenia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro de Investigación y Tecnología Química (CITeQ); Argentina
Fil: Álvarez, Dolores María Eugenia. Universidad Tecnológica Nacional. Centro de Investigación y Tecnología Química (CITeQ); Argentina
Fil: Fernández-Ahumada, Elvira. Universidad de Córdoba. Departamento de Matemáticas; España
description Llama fibre has the potential to become the most valuable textile resource in the Puna region of Argentina. In this study near infrared reflectance spectroscopy was evaluated to predict the mean fibre diameter in llama fleeces. Analyses between sets of carded and non-carded samples in combination with spectral preprocessing techniques were carried out and a total of 169 spectral signatures of llama samples in Vis and NIR ranges (400–2500 nm) were obtained. Spectral preprocessing consisted in wavelength selection (Vis–NIR, NIR and discrete ranges) and multiplicative and derivative pretreatments; spectra without pretreatments were also included, while modified partial least squares (M-PLS) regression was used to develop prediction models. Predictability was evaluated through R2: standard cross validation error (SECV), external validation error (SEV) and residual predictive value (RPD). A total of 54 calibration models were developed in which the best model (R2 = 0.67; SECV = 1.965; SEV = 2.235 and RPD = 1.91) was obtained in the Vis–NIR range applying the first derivative pretreatment. ANOVA analysis showed differences between carded and non-carded sets and the models obtained could be used in screening programs and contribute to valorisation of llama fibre and sustainable development of textile industry in the Puna territory of Catamarca. The data presented in this paper are a contribution to enhance the scarce information on this subject.
publishDate 2021
dc.date.none.fl_str_mv 2021-07-22T16:45:32Z
2021-07-22T16:45:32Z
2021-07
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/20.500.12123/9870
https://www.mdpi.com/2076-2615/11/7/1998
2076-2615
https://doi.org/10.3390/ani11071998
url http://hdl.handle.net/20.500.12123/9870
https://www.mdpi.com/2076-2615/11/7/1998
https://doi.org/10.3390/ani11071998
identifier_str_mv 2076-2615
dc.language.none.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
dc.source.none.fl_str_mv Animals 11 (7) : 1998 (July 2021)
reponame:INTA Digital (INTA)
instname:Instituto Nacional de Tecnología Agropecuaria
reponame_str INTA Digital (INTA)
collection INTA Digital (INTA)
instname_str Instituto Nacional de Tecnología Agropecuaria
repository.name.fl_str_mv INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuaria
repository.mail.fl_str_mv tripaldi.nicolas@inta.gob.ar
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score 12.559606

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