Agritrop
Accueil

Determination of natural rubber and resin content of guayule fresh biomass by near infrared spectroscopy

Taurines Manon, Brancheriau Loïc, Palu Serge, Pioch Daniel, Tardan Eric, Boutahar Nabila, Sartre Pascal, Meunier Florence. 2019. Determination of natural rubber and resin content of guayule fresh biomass by near infrared spectroscopy. Industrial Crops and Products, 134 : 177-184.

Article de revue ; Article de recherche ; Article de revue à facteur d'impact
[img] Version publiée - Anglais
Accès réservé aux personnels Cirad
Utilisation soumise à autorisation de l'auteur ou du Cirad.
2019_Taurines_IndCro_V134.pdf

Télécharger (1MB) | Demander une copie
[img]
Prévisualisation
Version post-print - Anglais
Sous licence Licence Creative Commons.
592067_MMA.pdf

Télécharger (1MB) | Prévisualisation

Quartile : Outlier, Sujet : AGRONOMY / Quartile : Q1, Sujet : AGRICULTURAL ENGINEERING

Résumé : The determination of natural rubber and resin contents of guayule (Parthenium argentatum) requires a long and destructive methodology to be implemented in the laboratory. In order to achieve a large number of measurements, it is necessary to determine the contents directly in the field in a fast and non-destructive way. The recent emergence of portable near infrared spectroscopy makes possible the use of this technology directly on the plants, without preparation of samples in the laboratory. The aim is to check the possibility of quantifying natural rubber and resin by using such a portable device directly on the guayule plants. Our research hypothesis is that the measure in near infrared can be performed directly on the surface of the bark. A set of 200 branches of guayule was collected randomly in a single experimental plot for two selected genotypes showing very different morphological traits. A difference between average contents of natural rubber and resin measured using a solvent-based laboratory reference method was observed with relation to the variety. Models of near infrared spectroscopy have been developed for samples in the form of powders, dry branches and fresh branches harvested in the same plot. The standard error of prediction was two times higher for branches as for powders. This was due to the fact that the powders were analyzed in controlled conditions in the laboratory (moisture, sample homogeneity and particle size). Using near infrared spectroscopy directly on the plant allowed the determination of the average content of the plot before harvest. With a random sampling of 70 measures per plot, it was possible to estimate the average content of natural rubber and resin with a precision lower than 0.3%. Measurements made on fresh branches of very different diameters showed that the variability of the contents was lower in the plant than in the field. At the individual plant level, 40 measures were necessary to determine the average content of resin and 70 measures for natural rubber. These encouraging results obtained out of the field, with freshly cut biomass, showed that portable near infrared spectroscopy could be directly applied to the guayule bush in the field, for estimating natural rubber and resin production of a plot or for monitoring the seasonal evolution for breeding or agro-industrial production.

Mots-clés Agrovoc : Parthenium argentatum, caoutchouc, résine, spectroscopie infrarouge, génotype, morphologie végétale

Classification Agris : Q60 - Traitement des produits agricoles non alimentaires
U30 - Méthodes de recherche
F30 - Génétique et amélioration des plantes
F50 - Anatomie et morphologie des plantes

Champ stratégique Cirad : CTS 7 (2019-) - Hors champs stratégiques

Auteurs et affiliations

  • Taurines Manon, Université de Montpellier (FRA)
  • Brancheriau Loïc, CIRAD-PERSYST-UPR BioWooEB (FRA) ORCID: 0000-0002-9580-7696 - auteur correspondant
  • Palu Serge, CIRAD-PERSYST-UPR BioWooEB (FRA)
  • Pioch Daniel, CIRAD-PERSYST-UPR BioWooEB (FRA)
  • Tardan Eric, CIRAD-PERSYST-UPR BioWooEB (FRA)
  • Boutahar Nabila, CIRAD-PERSYST-UPR BioWooEB (FRA)
  • Sartre Pascal, INRA (FRA)
  • Meunier Florence, INRA (FRA)

Source : Cirad-Agritrop (https://agritrop.cirad.fr/592067/)

Voir la notice (accès réservé à Agritrop) Voir la notice (accès réservé à Agritrop)

[ Page générée et mise en cache le 2024-04-05 ]