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Real-time monitoring of Arundo donax response to saline stress through the application of in vivo sensing technology
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Abstract
One of the main impacts of climate change on agriculture production is the dramatic increase of saline (Na
+
) content in substrate, that will impair crop performance and productivity. Here we demonstrate how the application of smart technologies such as an in vivo sensor, termed bioristor, allows to continuously monitor in real-time the dynamic changes of ion concentration in the sap of
Arundo donax
L. (common name giant reed or giant cane), when exposed to a progressive salinity stress. Data collected in vivo by bioristor sensors inserted at two different heights into
A. donax
stems enabled us to detect the early phases of stress response upon increasing salinity. Indeed, the continuous time-series of data recorded by the bioristor returned a specific signal which correlated with Na
+
content in leaves of Na-stressed plants, opening a new perspective for its application as a tool for in vivo plant phenotyping and selection of genotypes more suitable for the exploitation of saline soils.
Springer Science and Business Media LLC
Title: Real-time monitoring of Arundo donax response to saline stress through the application of in vivo sensing technology
Description:
Abstract
One of the main impacts of climate change on agriculture production is the dramatic increase of saline (Na
+
) content in substrate, that will impair crop performance and productivity.
Here we demonstrate how the application of smart technologies such as an in vivo sensor, termed bioristor, allows to continuously monitor in real-time the dynamic changes of ion concentration in the sap of
Arundo donax
L.
(common name giant reed or giant cane), when exposed to a progressive salinity stress.
Data collected in vivo by bioristor sensors inserted at two different heights into
A.
donax
stems enabled us to detect the early phases of stress response upon increasing salinity.
Indeed, the continuous time-series of data recorded by the bioristor returned a specific signal which correlated with Na
+
content in leaves of Na-stressed plants, opening a new perspective for its application as a tool for in vivo plant phenotyping and selection of genotypes more suitable for the exploitation of saline soils.
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