A new device for continuous non-invasive measurements of leaf water content using NIR-transmission allowing dynamic tracking of water budgets

Kaiser, Hartmut

doi:10.1101/2022.05.06.490892

Cited by 2 publications

(2 citation statements)

References 44 publications

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“…In this way a VPD between c. 0.25 and 2.5 could be achieved. A LWC sensor based on an IR transmission ratio in the near infrared range [ 10 ] continuously measured LWC near the pH measurement site (Fig. 2 ).…”

Section: Methodsmentioning

confidence: 99%

A method to experimentally clamp leaf water content to defined values to assess its effects on apoplastic pH

2022

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Background Leaf hydration is controlled by feedback mechanisms, e.g. stomatal responses, adjustments of osmotic potential and hydraulic conductivity. Leaf water content thus is an input into related feedback-loops controlling the balance of water uptake and loss. Apoplastic alkalisation upon leaf dehydration is hypothesized to be involved together and in interaction with abscisic acid (ABA) in water stress related signaling on tissue level. However, important questions are still unresolved, e.g. the mechanisms leading to pH changes and the exact nature of its interaction with ABA. When studying these mechanisms and their intermediate signaling steps, an experimenter has only poor means to actually control the central experimental variable, leaf water content (LWC), because it is not only dependent on external variables (e.g. air humidity), which are under experimental control, but is also governed by the biological influences controlling transpiration and water uptake. Those are often unknown in their magnitude, unpredictable and fluctuating throughout an experiment and will prevent true repetitions of an experiment. The goal of the method presented here is to experimentally control and manipulate leaf water content (LWC) of attached intact leaves enclosed in a cuvette while simultaneously measuring physiological parameters like, in this case, apoplastic pH. Results An experimental setup was developed where LWC is measured by a sensor based on IR-transmission and its signal processed to control a pump which circulates air from the cuvette through a cold trap. Hereby a feedback-loop is formed, which by adjusting vapour pressure deficit (VPD) and consequently leaf transpiration can precisely control LWC. This technique is demonstrated here in a combination with microscopic fluorescence imaging of apoplastic pH (pHapo) as indicated by the excitation ratio of the pH sensitive dye OregonGreen. Initial results indicate that pHapo of the adaxial epidermis of Vicia faba is linearly related to reductions in LWC. Conclusions Using this setup, constant LWC levels, step changes or ramps can be experimentally applied while simultaneously measuring physiological responses. The example experiments demonstrate that bringing LWC under experimental control in this way allows better controlled and more repeatable experiments to probe quantitative relationships between LWC and signaling and regulatory processes.

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Section: Methodsmentioning

confidence: 99%

A method to experimentally clamp leaf water content to defined values to assess its effects on apoplastic pH

2022

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“…Specifically, one LED is set at 1450 nm (SWIR) and the other at 890 nm (NIR). The first is directly related to water status assessment [75,76], while the second is mainly linked to dry matter [74]. Also, in this case, the data are transmitted (through a LoRa module) to a gateway located in the field that sends the data directly to an internet server.…”

Section: Leaf Water Metermentioning

confidence: 99%

Continuous Plant-Based and Remote Sensing for Determination of Fruit Tree Water Status

Carella,

Bulacio Fischer,

Massenti

et al. 2024

Horticulturae

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Climate change poses significant challenges to agricultural productivity, making the efficient management of water resources essential for sustainable crop production. The assessment of plant water status is crucial for understanding plant physiological responses to water stress and optimizing water management practices in agriculture. Proximal and remote sensing techniques have emerged as powerful tools for the non-destructive, efficient, and spatially extensive monitoring of plant water status. This review aims to examine the recent advancements in proximal and remote sensing methodologies utilized for assessing the water status, consumption, and irrigation needs of fruit tree crops. Several proximal sensing tools have proved useful in the continuous estimation of tree water status but have strong limitations in terms of spatial variability. On the contrary, remote sensing technologies, although less precise in terms of water status estimates, can easily cover from medium to large areas with drone or satellite images. The integration of proximal and remote sensing would definitely improve plant water status assessment, resulting in higher accuracy by integrating temporal and spatial scales. This paper consists of three parts: the first part covers current plant-based proximal sensing tools, the second part covers remote sensing techniques, and the third part includes an update on the on the combined use of the two methodologies.

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A new device for continuous non-invasive measurements of leaf water content using NIR-transmission allowing dynamic tracking of water budgets

Cited by 2 publications

References 44 publications

A method to experimentally clamp leaf water content to defined values to assess its effects on apoplastic pH

A method to experimentally clamp leaf water content to defined values to assess its effects on apoplastic pH

Continuous Plant-Based and Remote Sensing for Determination of Fruit Tree Water Status

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