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Abstract
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 [ver mas...]
dc.contributor.authorAmorena, José Ignacio
dc.contributor.authorÁlvarez, Dolores María Eugenia
dc.contributor.authorFernández-Ahumada, Elvira
dc.date.accessioned2021-07-22T16:45:32Z
dc.date.available2021-07-22T16:45:32Z
dc.date.issued2021-07
dc.identifier.issn2076-2615
dc.identifier.otherhttps://doi.org/10.3390/ani11071998
dc.identifier.urihttp://hdl.handle.net/20.500.12123/9870
dc.identifier.urihttps://www.mdpi.com/2076-2615/11/7/1998
dc.description.abstractLlama 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.eng
dc.formatapplication/pdfes_AR
dc.language.isoenges_AR
dc.publisherMDPIes_AR
dc.rightsinfo:eu-repo/semantics/openAccesses_AR
dc.sourceAnimals 11 (7) : 1998 (July 2021)es_AR
dc.subjectLlamaes_AR
dc.subjectLlamaseng
dc.subjectFibras Textileses_AR
dc.subjectTextile Fibreseng
dc.subjectCalidad de la Fibraes_AR
dc.subjectFibre Qualityeng
dc.subjectModeloses_AR
dc.subjectModelseng
dc.subjectEspectroscopia Infrarrojaes_AR
dc.subjectInfrared Spectrophotometryeng
dc.subject.otherLama glamaes_AR
dc.titleDevelopment of Calibration Models to Predict Mean Fibre Diameter in Llama (Lama glama) Fleeces with Near Infrared Spectroscopyes_AR
dc.typeinfo:ar-repo/semantics/artículoes_AR
dc.typeinfo:eu-repo/semantics/articlees_AR
dc.typeinfo:eu-repo/semantics/publishedVersiones_AR
dc.description.origenEEA Catamarcaes_AR
dc.description.filFil: Amorena, José Ignacio. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Catamarca; Argentinaes_AR
dc.description.filFil: Álvarez, Dolores María Eugenia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro de Investigación y Tecnología Química (CITeQ); Argentinaes_AR
dc.description.filFil: Álvarez, Dolores María Eugenia. Universidad Tecnológica Nacional. Centro de Investigación y Tecnología Química (CITeQ); Argentinaes_AR
dc.description.filFil: Fernández-Ahumada, Elvira. Universidad de Córdoba. Departamento de Matemáticas; Españaes_AR
dc.subtypecientifico


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