Development of Calibration Models to Predict Mean Fibre Diameter in Llama (Lama glama) Fleeces with Near Infrared Spectroscopy
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 wi...
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| Format: | Artículo |
| Language: | Inglés |
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MDPI
2021
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| Online Access: | http://hdl.handle.net/20.500.12123/9870 https://www.mdpi.com/2076-2615/11/7/1998 https://doi.org/10.3390/ani11071998 |
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| author | Amorena, José Ignacio Álvarez, Dolores María Eugenia Fernández-Ahumada, Elvira |
| author_browse | Amorena, José Ignacio Fernández-Ahumada, Elvira Álvarez, Dolores María Eugenia |
| author_facet | Amorena, José Ignacio Álvarez, Dolores María Eugenia Fernández-Ahumada, Elvira |
| author_sort | Amorena, José Ignacio |
| collection | INTA Digital |
| 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. |
| format | Artículo |
| id | INTA9870 |
| institution | Instituto Nacional de Tecnología Agropecuaria (INTA -Argentina) |
| language | Inglés |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | MDPI |
| publisherStr | MDPI |
| record_format | dspace |
| spelling | INTA98702021-07-22T16:52:09Z Development of Calibration Models to Predict Mean Fibre Diameter in Llama (Lama glama) Fleeces with Near Infrared Spectroscopy Amorena, José Ignacio Álvarez, Dolores María Eugenia Fernández-Ahumada, Elvira Llama Fibras Textiles Calidad de la Fibra Modelos Espectroscopia Infrarroja Llamas Textile Fibres Fibre Quality Models Infrared Spectrophotometry Lama glama 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 2021-07-22T16:45:32Z 2021-07-22T16:45:32Z 2021-07 info:ar-repo/semantics/artículo info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion 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 eng 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) application/pdf MDPI Animals 11 (7) : 1998 (July 2021) |
| spellingShingle | Llama Fibras Textiles Calidad de la Fibra Modelos Espectroscopia Infrarroja Llamas Textile Fibres Fibre Quality Models Infrared Spectrophotometry Lama glama Amorena, José Ignacio Álvarez, Dolores María Eugenia Fernández-Ahumada, Elvira 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 |
| 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_short | 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 |
| topic | Llama Fibras Textiles Calidad de la Fibra Modelos Espectroscopia Infrarroja Llamas Textile Fibres Fibre Quality Models Infrared Spectrophotometry Lama glama |
| url | http://hdl.handle.net/20.500.12123/9870 https://www.mdpi.com/2076-2615/11/7/1998 https://doi.org/10.3390/ani11071998 |
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