2021
DOI: 10.21203/rs.3.rs-764290/v1
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Root-TRAPR: a modular plant growth device to visualize root development and monitor growth parameters, as applied to an elicitor response of Cannabis sativa

Abstract: Background Plant growth devices, for example rhizoponics, rhizoboxes, and ecosystem fabrication (EcoFAB) have been developed to facilitate studies of plant root morphology and plant-microbe interactions in controlled laboratory settings. However, several of these designs are suitable only for studying small model plants such as Arabidopsis thaliana and Brachypodium distachyon, and therefore require modification to be extended to larger plant species like crop plants. In addition, specific tools and technical … Show more

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“…For all these reasons, it is advisable to introduce the intended cannabis host plant early in the screening process, under controlled conditions that would best represent the epidemiological and environmental realities of the crop, even if these large-scale experiments would require more time and resources (Köhl et al, 2011(Köhl et al, , 2019. Hopefully, high-throughput plant-based bioassays could benefit from recent innovations in cannabis biotechnological research, allowing for example the live visualization of root development and responses to elicitors (Suwanchaikasem et al, 2021), the automated estimation of hemp fiber yield and quality from scanner image analysis (Müssig and Amaducci, 2018), the high-resolution profiling of cannabinoids and plant extracts by chromatography coupled to mass spectrometry (Delgado-Povedano et al, 2020), the field-scale detection of diseases by drone remote sensing and machine learning (Bates, 2021), and the marker-assisted monitoring of cannabis pathways linked to pathogen defenses (Balthazar et al, 2020;McKernan et al, 2020;Pépin et al, 2021), abiotic stress responses (Mayer et al, 2015;Liu et al, 2016), phytochemical biosynthesis (Booth et al, 2017;Grassa et al, 2018;Jalali et al, 2019;Hesami et al, 2020), seed protein accumulation (Ponzoni et al, 2018), and fiber quality (Guerriero et al, 2017;Hesami et al, 2020).…”
Section: Strategies To Identify Promising Pseudomonas Sppmentioning
confidence: 99%
“…For all these reasons, it is advisable to introduce the intended cannabis host plant early in the screening process, under controlled conditions that would best represent the epidemiological and environmental realities of the crop, even if these large-scale experiments would require more time and resources (Köhl et al, 2011(Köhl et al, , 2019. Hopefully, high-throughput plant-based bioassays could benefit from recent innovations in cannabis biotechnological research, allowing for example the live visualization of root development and responses to elicitors (Suwanchaikasem et al, 2021), the automated estimation of hemp fiber yield and quality from scanner image analysis (Müssig and Amaducci, 2018), the high-resolution profiling of cannabinoids and plant extracts by chromatography coupled to mass spectrometry (Delgado-Povedano et al, 2020), the field-scale detection of diseases by drone remote sensing and machine learning (Bates, 2021), and the marker-assisted monitoring of cannabis pathways linked to pathogen defenses (Balthazar et al, 2020;McKernan et al, 2020;Pépin et al, 2021), abiotic stress responses (Mayer et al, 2015;Liu et al, 2016), phytochemical biosynthesis (Booth et al, 2017;Grassa et al, 2018;Jalali et al, 2019;Hesami et al, 2020), seed protein accumulation (Ponzoni et al, 2018), and fiber quality (Guerriero et al, 2017;Hesami et al, 2020).…”
Section: Strategies To Identify Promising Pseudomonas Sppmentioning
confidence: 99%