Development and evaluation of Fineness prediction models in vicuña fleeces, by near infrared reflectance spectroscopy

Authors

  • José Ignacio Amorena, Doctorando Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET) – Instituto Nacional de Tecnología Agropecuaria (INTA) Estación Experimental Agropecuaria Sumalao, Catamarca - Argentina
  • Elvira Fernández de Ahumada Directora
  • Dolores María Eugenia Álvarez Codirectora

DOI:

https://doi.org/10.33414/ajea.5.669.2020

Keywords:

NIRS, Vicuna, Textile Fibres, Average Fineness

Abstract

The vicuña fibre (Vicugna vicugna) production system requires technologies that allow the quality of the fibers to be objectively determined. In this work, prediction models of Average Fineness in vicuña fleeces were developed and evaluated by near infrared reflectance spectroscopy. The model with the highest predictive capacity showed a determination coefficient R2= 0,72 and Residual Predictive Value= 2,10. This shows the potential of spectroscopy to be used in general determinations of the evaluated parameter

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Published

2020-10-05

How to Cite

Amorena, J. I., Fernández de Ahumada, E., & Álvarez, D. M. E. (2020). Development and evaluation of Fineness prediction models in vicuña fleeces, by near infrared reflectance spectroscopy. AJEA (Proceedings of UTN Academic Conferences and Events), (5). https://doi.org/10.33414/ajea.5.669.2020

Conference Proceedings Volume

No. 5 (2020): Conference on Exchange and Dissemination of Research Results of Doctoral Students in Engineering

Section

Proceedings - Materials