Exploring the potential of PROCOSINE and close-range hyperspectral imaging to study the effects of fungal diseases on leaf physiology

Morel Julien, Jay Sylvain, Feret Jean Baptiste, Bakache Adel, Bendoula Ryad, Carreel Françoise, Gorretta Nathalie. 2018. Exploring the potential of PROCOSINE and close-range hyperspectral imaging to study the effects of fungal diseases on leaf physiology. Scientific Reports, 8 (1), 13 p.

https://doi.org/10.1038/s41598-018-34429-0

Article de revue ; Article de revue à facteur d'impact Revue en libre accès total

Prévisualisation

Version publiée - Anglais
Sous licence CC0 1.0 Sans restriction de droits pour le monde entier.
Morel 2018 procosine hyperspectral image disease.pdf
Télécharger (3MB) | Prévisualisation

Quartile : Q1, Sujet : MULTIDISCIPLINARY SCIENCES

Résumé : The detection of plant diseases, including fungi, is a major challenge for reducing yield gaps of crops across the world. We explored the potential of the PROCOSINE radiative transfer model to assess the effect of the fungus Pseudocercospora fijiensis on leaf tissues using laboratory-acquired submillimetre-scale hyperspectral images in the visible and near-infrared spectral range. The objectives were (i) to assess the dynamics of leaf biochemical and biophysical parameters estimated using PROCOSINE inversion as a function of the disease stages, and (ii) to discriminate the disease stages by using a Linear Discriminant Analysis model built from the inversion results. The inversion results show that most of the parameter dynamics are consistent with expectations: for example, the chlorophyll content progressively decreased as the disease spreads, and the brown pigments content increased. An overall accuracy of 78.7% was obtained for the discrimination of the six disease stages, with errors mainly occurring between asymptomatic samples and first visible disease stages. PROCOSINE inversion provides relevant ecophysiological information to better understand how P. fijiensis affects the leaf at each disease stage. More particularly, the results suggest that monitoring anthocyanins may be critical for the early detection of this disease.

Mots-clés Agrovoc : Musa, Mycosphaerella fijiensis, Pseudocercosporella, photosynthèse, surface foliaire, rayonnement infrarouge, chlorophylle, anthocyane

Mots-clés complémentaires : Pseudocercospora fijiensis

Classification Agris : H20 - Maladies des plantes
U30 - Méthodes de recherche
F60 - Physiologie et biochimie végétale

Champ stratégique Cirad : Axe 4 (2014-2018) - Santé des animaux et des plantes

Auteurs et affiliations