Mass Spectrometry-Based Targeted Lipidomics and Supervised Machine Learning Algorithms in Detecting Disease, Cultivar, and Treatment Biomarkers in Xylella fastidiosa subsp. pauca-Infected Olive Trees

Mass Spectrometry-Based Targeted Lipidomics and Supervised Machine Learning Algorithms in Detecting Disease, Cultivar, and Treatment Biomarkers in Xylella fastidiosa subsp. pauca-Infected Olive Trees

In 2013, Xylella fastidiosa (Xf) was detected for the first time in Apulia and, subsequently, recognized as the causal agent of the olive quick decline syndrome (OQDS). To contain the disease, the olive germplasm was evaluated for resistance to Xf, identifying cultivars with different susceptibility...

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Bibliographic Details
Main Authors: Valeria Scala, Manuel Salustri, Stefania Loreti, Nicoletta Pucci, Andrea Cacciotti, Giuseppe Tatulli, Marco Scortichini, Massimo Reverberi
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-04-01
Series:Frontiers in Plant Science
Subjects:
Xylella fastidiosa
olive trees
lipids
machine learning algorithms
oxylipins
detection
Online Access:https://www.frontiersin.org/articles/10.3389/fpls.2022.833245/full

Internet

https://www.frontiersin.org/articles/10.3389/fpls.2022.833245/full

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