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Article

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

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Instituto Nacional de Tecnología Agropecuaria (INTA) Estación Experimental Agropecuaria (EEA) Catamarca, RP N° 33, km 4.5, Catamarca 4705, Argentina
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Centro de Investigación y Tecnología Química (CITeQ) (CONICET-UTN), Maestro Marcelo López esq. Cruz Roja Argentina, Ciudad Universitaria, Córdoba 5016, Argentina
3
Departamento de Matemáticas, Universidad de Córdoba (UCO), 14071 Córdoba, Spain
*
Author to whom correspondence should be addressed.
Academic Editor: Guillermo Ripoll
Animals 2021, 11(7), 1998; https://doi.org/10.3390/ani11071998
Received: 7 June 2021 / Revised: 30 June 2021 / Accepted: 1 July 2021 / Published: 4 July 2021
(This article belongs to the Section Small Ruminants)
In the Puna region of Argentina, llama fibre production has enormous social, economic and environmental potential, but is still in its early stages of development. For this reason, classification and quality analysis systems used today are still deficient. Near infrared reflectance spectroscopy is a technological resource used in the agroindustry for quality analysis of organic compounds. In this work we studied the feasibility of this technology to evaluate the mean fibre diameter, which is one of the most important quality parameters in the textile industry. Despite some limitations, which are mainly related to fibre heterogeneity, the results obtained were encouraging as spectroscopy could be used in screening programmes as a sustainable, fast and low-cost method to improve fibre quality validation.
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. View Full-Text
Keywords: llama; textile fibres; near infrared spectroscopy; NIRS llama; textile fibres; near infrared spectroscopy; NIRS
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MDPI and ACS Style

Amorena, J.I.; Álvarez, D.M.E.; Fernández-Ahumada, E. Development of Calibration Models to Predict Mean Fibre Diameter in Llama (Lama glama) Fleeces with Near Infrared Spectroscopy. Animals 2021, 11, 1998. https://doi.org/10.3390/ani11071998

AMA Style

Amorena JI, Álvarez DME, Fernández-Ahumada E. Development of Calibration Models to Predict Mean Fibre Diameter in Llama (Lama glama) Fleeces with Near Infrared Spectroscopy. Animals. 2021; 11(7):1998. https://doi.org/10.3390/ani11071998

Chicago/Turabian Style

Amorena, José I., Dolores M.E. Álvarez, and Elvira Fernández-Ahumada. 2021. "Development of Calibration Models to Predict Mean Fibre Diameter in Llama (Lama glama) Fleeces with Near Infrared Spectroscopy" Animals 11, no. 7: 1998. https://doi.org/10.3390/ani11071998

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