2020
DOI: 10.1038/s41598-020-76732-9
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Publisher Correction: Diversity and function of terpene synthases in the production of carrot aroma and flavor compounds

Abstract: An amendment to this paper has been published and can be accessed via a link at the top of the paper.

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“…Outcomes of VOC phenotyping can inform researchers which compounds they can target as markers for diagnosing plant diseases with portable devices and sensors under greenhouse and field conditions. To determine VOCs that are most important in distinguishing between genotypes and/or stress conditions, untargeted or targeted volatilomes can be analyzed by machine-learning classification methods such as random forest (Muchlinski et al, 2020;Ranganathan and Borges, 2011). Mass spectral analysis of volatilomes also provides the possibility to reveal molecular networks of structurally similar compounds as chemical traits, which define specific plant-environment interactions (Sedio, 2017).…”
Section: Screening Vocs As Phenotypic Traitsmentioning
confidence: 99%
“…Outcomes of VOC phenotyping can inform researchers which compounds they can target as markers for diagnosing plant diseases with portable devices and sensors under greenhouse and field conditions. To determine VOCs that are most important in distinguishing between genotypes and/or stress conditions, untargeted or targeted volatilomes can be analyzed by machine-learning classification methods such as random forest (Muchlinski et al, 2020;Ranganathan and Borges, 2011). Mass spectral analysis of volatilomes also provides the possibility to reveal molecular networks of structurally similar compounds as chemical traits, which define specific plant-environment interactions (Sedio, 2017).…”
Section: Screening Vocs As Phenotypic Traitsmentioning
confidence: 99%