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THz Water Transmittance and Leaf Surface Area: An Effective Nondestructive Method for Determining Leaf Water Content

Water availability is a major limiting factor in plant productivity and plays a key role in plant species distribution over a given area. New technologies, such as terahertz quantum cascade lasers (THz-QCLs) have proven to be non-invasive, effective, and accurate tools for measuring and monitoring l...

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Autores principales: Pagano, Mario, Baldacci, Lorenzo, Ottomaniello, Andrea, de Dato, Giovanbattista, Chianucci, Francesco, Masini, Luca, Carelli, Giorgio, Toncelli, Alessandra, Storchi, Paolo, Tredicucci, Alessandro, Corona, Piermaria
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6891343/
https://www.ncbi.nlm.nih.gov/pubmed/31698861
http://dx.doi.org/10.3390/s19224838
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author Pagano, Mario
Baldacci, Lorenzo
Ottomaniello, Andrea
de Dato, Giovanbattista
Chianucci, Francesco
Masini, Luca
Carelli, Giorgio
Toncelli, Alessandra
Storchi, Paolo
Tredicucci, Alessandro
Corona, Piermaria
author_facet Pagano, Mario
Baldacci, Lorenzo
Ottomaniello, Andrea
de Dato, Giovanbattista
Chianucci, Francesco
Masini, Luca
Carelli, Giorgio
Toncelli, Alessandra
Storchi, Paolo
Tredicucci, Alessandro
Corona, Piermaria
author_sort Pagano, Mario
collection PubMed
description Water availability is a major limiting factor in plant productivity and plays a key role in plant species distribution over a given area. New technologies, such as terahertz quantum cascade lasers (THz-QCLs) have proven to be non-invasive, effective, and accurate tools for measuring and monitoring leaf water content. This study explores the feasibility of using an advanced THz-QCL device for measuring the absolute leaf water content in Corylus avellana L., Laurus nobilis L., Ostrya carpinifolia Scop., Quercus ilex L., Quercus suber L., and Vitis vinifera L. (cv. Sangiovese). A recently proposed, simple spectroscopic technique was used, consisting in determining the transmission of the THz light beam through the leaf combined with a photographic measurement of the leaf area. A significant correlation was found between the product of the leaf optical depth (τ) and the leaf surface area (L(A)) with the leaf water mass (M(w)) for all the studied species (Pearson’s r test, p ≤ 0.05). In all cases, the best fit regression line, in the graphs of τL(A) as a function of M(w), displayed R(2) values always greater than 0.85. The method proposed can be combined with water stress indices of plants in order to gain a better understanding of the leaf water management processes or to indirectly monitor the kinetics of leaf invasion by pathogenic bacteria, possibly leading to the development of specific models to study and fight them.
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spelling pubmed-68913432019-12-12 THz Water Transmittance and Leaf Surface Area: An Effective Nondestructive Method for Determining Leaf Water Content Pagano, Mario Baldacci, Lorenzo Ottomaniello, Andrea de Dato, Giovanbattista Chianucci, Francesco Masini, Luca Carelli, Giorgio Toncelli, Alessandra Storchi, Paolo Tredicucci, Alessandro Corona, Piermaria Sensors (Basel) Article Water availability is a major limiting factor in plant productivity and plays a key role in plant species distribution over a given area. New technologies, such as terahertz quantum cascade lasers (THz-QCLs) have proven to be non-invasive, effective, and accurate tools for measuring and monitoring leaf water content. This study explores the feasibility of using an advanced THz-QCL device for measuring the absolute leaf water content in Corylus avellana L., Laurus nobilis L., Ostrya carpinifolia Scop., Quercus ilex L., Quercus suber L., and Vitis vinifera L. (cv. Sangiovese). A recently proposed, simple spectroscopic technique was used, consisting in determining the transmission of the THz light beam through the leaf combined with a photographic measurement of the leaf area. A significant correlation was found between the product of the leaf optical depth (τ) and the leaf surface area (L(A)) with the leaf water mass (M(w)) for all the studied species (Pearson’s r test, p ≤ 0.05). In all cases, the best fit regression line, in the graphs of τL(A) as a function of M(w), displayed R(2) values always greater than 0.85. The method proposed can be combined with water stress indices of plants in order to gain a better understanding of the leaf water management processes or to indirectly monitor the kinetics of leaf invasion by pathogenic bacteria, possibly leading to the development of specific models to study and fight them. MDPI 2019-11-06 /pmc/articles/PMC6891343/ /pubmed/31698861 http://dx.doi.org/10.3390/s19224838 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Pagano, Mario
Baldacci, Lorenzo
Ottomaniello, Andrea
de Dato, Giovanbattista
Chianucci, Francesco
Masini, Luca
Carelli, Giorgio
Toncelli, Alessandra
Storchi, Paolo
Tredicucci, Alessandro
Corona, Piermaria
THz Water Transmittance and Leaf Surface Area: An Effective Nondestructive Method for Determining Leaf Water Content
title THz Water Transmittance and Leaf Surface Area: An Effective Nondestructive Method for Determining Leaf Water Content
title_full THz Water Transmittance and Leaf Surface Area: An Effective Nondestructive Method for Determining Leaf Water Content
title_fullStr THz Water Transmittance and Leaf Surface Area: An Effective Nondestructive Method for Determining Leaf Water Content
title_full_unstemmed THz Water Transmittance and Leaf Surface Area: An Effective Nondestructive Method for Determining Leaf Water Content
title_short THz Water Transmittance and Leaf Surface Area: An Effective Nondestructive Method for Determining Leaf Water Content
title_sort thz water transmittance and leaf surface area: an effective nondestructive method for determining leaf water content
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6891343/
https://www.ncbi.nlm.nih.gov/pubmed/31698861
http://dx.doi.org/10.3390/s19224838
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