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A Leaf Selfie: Using a Smartphone to Quantify Leaf Vulnerability to Hydraulic Dysfunction
Accurate predictions of species distribution under current and future climate conditions require modeling efforts based on clear mechanistic relationships between climate variables and plant physiological functions. Vulnerability of leaves to xylem embolism is a key mechanistic trait that might be i...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7076359/ https://www.ncbi.nlm.nih.gov/pubmed/32054113 http://dx.doi.org/10.3390/plants9020234 |
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author | Petruzzellis, Francesco Tomasella, Martina Miotto, Andrea Natale, Sara Trifilò, Patrizia Nardini, Andrea |
author_facet | Petruzzellis, Francesco Tomasella, Martina Miotto, Andrea Natale, Sara Trifilò, Patrizia Nardini, Andrea |
author_sort | Petruzzellis, Francesco |
collection | PubMed |
description | Accurate predictions of species distribution under current and future climate conditions require modeling efforts based on clear mechanistic relationships between climate variables and plant physiological functions. Vulnerability of leaves to xylem embolism is a key mechanistic trait that might be included in these modeling efforts. Here, we propose a simple set-up to measure leaf vulnerability to embolism on the basis of the optical method using a smartphone, a light source, and a notebook. Our data show that this proposed set-up can adequately quantify the vulnerability to xylem embolism of leaf major veins in Populus nigra and Ostrya carpinifolia, producing values consistent with those obtained in temperate tree species with other methods, allowing virtually any laboratory to quantify species-specific drought tolerance on the basis of a sound mechanistic trait. |
format | Online Article Text |
id | pubmed-7076359 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-70763592020-03-24 A Leaf Selfie: Using a Smartphone to Quantify Leaf Vulnerability to Hydraulic Dysfunction Petruzzellis, Francesco Tomasella, Martina Miotto, Andrea Natale, Sara Trifilò, Patrizia Nardini, Andrea Plants (Basel) Communication Accurate predictions of species distribution under current and future climate conditions require modeling efforts based on clear mechanistic relationships between climate variables and plant physiological functions. Vulnerability of leaves to xylem embolism is a key mechanistic trait that might be included in these modeling efforts. Here, we propose a simple set-up to measure leaf vulnerability to embolism on the basis of the optical method using a smartphone, a light source, and a notebook. Our data show that this proposed set-up can adequately quantify the vulnerability to xylem embolism of leaf major veins in Populus nigra and Ostrya carpinifolia, producing values consistent with those obtained in temperate tree species with other methods, allowing virtually any laboratory to quantify species-specific drought tolerance on the basis of a sound mechanistic trait. MDPI 2020-02-11 /pmc/articles/PMC7076359/ /pubmed/32054113 http://dx.doi.org/10.3390/plants9020234 Text en © 2020 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 | Communication Petruzzellis, Francesco Tomasella, Martina Miotto, Andrea Natale, Sara Trifilò, Patrizia Nardini, Andrea A Leaf Selfie: Using a Smartphone to Quantify Leaf Vulnerability to Hydraulic Dysfunction |
title | A Leaf Selfie: Using a Smartphone to Quantify Leaf Vulnerability to Hydraulic Dysfunction |
title_full | A Leaf Selfie: Using a Smartphone to Quantify Leaf Vulnerability to Hydraulic Dysfunction |
title_fullStr | A Leaf Selfie: Using a Smartphone to Quantify Leaf Vulnerability to Hydraulic Dysfunction |
title_full_unstemmed | A Leaf Selfie: Using a Smartphone to Quantify Leaf Vulnerability to Hydraulic Dysfunction |
title_short | A Leaf Selfie: Using a Smartphone to Quantify Leaf Vulnerability to Hydraulic Dysfunction |
title_sort | leaf selfie: using a smartphone to quantify leaf vulnerability to hydraulic dysfunction |
topic | Communication |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7076359/ https://www.ncbi.nlm.nih.gov/pubmed/32054113 http://dx.doi.org/10.3390/plants9020234 |
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