A Leaf Selfie: Using a Smartphone to Quantify Leaf Vulnerability to Hydraulic Dysfunction.
Identifieur interne : 000602 ( Main/Exploration ); précédent : 000601; suivant : 000603A Leaf Selfie: Using a Smartphone to Quantify Leaf Vulnerability to Hydraulic Dysfunction.
Auteurs : Francesco Petruzzellis [Italie] ; Martina Tomasella [Italie] ; Andrea Miotto [Italie] ; Sara Natale [Italie] ; Patrizia Trifil [Italie] ; Andrea Nardini [Italie]Source :
- Plants (Basel, Switzerland) [ 2223-7747 ] ; 2020.
Abstract
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.
DOI: 10.3390/plants9020234
PubMed: 32054113
PubMed Central: PMC7076359
Affiliations:
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Giorgieri 10, 34127 Trieste</wicri:regionArea><wicri:noRegion>34127 Trieste</wicri:noRegion></affiliation></author><author><name sortKey="Miotto, Andrea" sort="Miotto, Andrea" uniqKey="Miotto A" first="Andrea" last="Miotto">Andrea Miotto</name><affiliation wicri:level="1"><nlm:affiliation>Dipartimento di Scienze della Vita, Università di Trieste, Via L. Giorgieri 10, 34127 Trieste, Italy.</nlm:affiliation><country xml:lang="fr">Italie</country><wicri:regionArea>Dipartimento di Scienze della Vita, Università di Trieste, Via L. Giorgieri 10, 34127 Trieste</wicri:regionArea><wicri:noRegion>34127 Trieste</wicri:noRegion></affiliation></author><author><name sortKey="Natale, Sara" sort="Natale, Sara" uniqKey="Natale S" first="Sara" last="Natale">Sara Natale</name><affiliation wicri:level="1"><nlm:affiliation>Dipartimento di Scienze della Vita, Università di Trieste, Via L. Giorgieri 10, 34127 Trieste, Italy.</nlm:affiliation><country xml:lang="fr">Italie</country><wicri:regionArea>Dipartimento di Scienze della Vita, Università di Trieste, Via L. 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Giorgieri 10, 34127 Trieste, Italy.</nlm:affiliation><country xml:lang="fr">Italie</country><wicri:regionArea>Dipartimento di Scienze della Vita, Università di Trieste, Via L. Giorgieri 10, 34127 Trieste</wicri:regionArea><wicri:noRegion>34127 Trieste</wicri:noRegion></affiliation></author></analytic><series><title level="j">Plants (Basel, Switzerland)</title><idno type="ISSN">2223-7747</idno><imprint><date when="2020" type="published">2020</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">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 <i>Populus nigra</i> and <i>Ostrya carpinifolia</i>, 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.</div></front></TEI><pubmed><MedlineCitation Status="PubMed-not-MEDLINE" Owner="NLM"><PMID Version="1">32054113</PMID><DateRevised><Year>2020</Year><Month>09</Month><Day>28</Day></DateRevised><Article PubModel="Electronic"><Journal><ISSN IssnType="Print">2223-7747</ISSN><JournalIssue CitedMedium="Print"><Volume>9</Volume><Issue>2</Issue><PubDate><Year>2020</Year><Month>Feb</Month><Day>11</Day></PubDate></JournalIssue><Title>Plants (Basel, Switzerland)</Title><ISOAbbreviation>Plants (Basel)</ISOAbbreviation></Journal><ArticleTitle>A Leaf Selfie: Using a Smartphone to Quantify Leaf Vulnerability to Hydraulic Dysfunction.</ArticleTitle><ELocationID EIdType="pii" ValidYN="Y">E234</ELocationID><ELocationID EIdType="doi" ValidYN="Y">10.3390/plants9020234</ELocationID><Abstract><AbstractText>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 <i>Populus nigra</i> and <i>Ostrya carpinifolia</i>, 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.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Petruzzellis</LastName><ForeName>Francesco</ForeName><Initials>F</Initials><AffiliationInfo><Affiliation>Dipartimento di Scienze della Vita, Università di Trieste, Via L. Giorgieri 10, 34127 Trieste, Italy.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Tomasella</LastName><ForeName>Martina</ForeName><Initials>M</Initials><AffiliationInfo><Affiliation>Dipartimento di Scienze della Vita, Università di Trieste, Via L. Giorgieri 10, 34127 Trieste, Italy.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Miotto</LastName><ForeName>Andrea</ForeName><Initials>A</Initials><AffiliationInfo><Affiliation>Dipartimento di Scienze della Vita, Università di Trieste, Via L. Giorgieri 10, 34127 Trieste, Italy.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Natale</LastName><ForeName>Sara</ForeName><Initials>S</Initials><AffiliationInfo><Affiliation>Dipartimento di Scienze della Vita, Università di Trieste, Via L. Giorgieri 10, 34127 Trieste, Italy.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Trifilò</LastName><ForeName>Patrizia</ForeName><Initials>P</Initials><AffiliationInfo><Affiliation>Dipartimento di Scienze chimiche, biologiche, farmaceutiche e ambientali, Università di Messina, Viale Ferdinando Stagno d'Alcontres 31, 98166 Messina, Italy.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Nardini</LastName><ForeName>Andrea</ForeName><Initials>A</Initials><AffiliationInfo><Affiliation>Dipartimento di Scienze della Vita, Università di Trieste, Via L. Giorgieri 10, 34127 Trieste, Italy.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><GrantList CompleteYN="Y"><Grant><GrantID>FRA 2018</GrantID><Agency>Università degli Studi di Trieste</Agency><Country></Country></Grant></GrantList><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2020</Year><Month>02</Month><Day>11</Day></ArticleDate></Article><MedlineJournalInfo><Country>Switzerland</Country><MedlineTA>Plants (Basel)</MedlineTA><NlmUniqueID>101596181</NlmUniqueID><ISSNLinking>2223-7747</ISSNLinking></MedlineJournalInfo><KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="N">drought</Keyword><Keyword MajorTopicYN="N">embolism</Keyword><Keyword MajorTopicYN="N">leaf</Keyword><Keyword MajorTopicYN="N">optical method</Keyword><Keyword MajorTopicYN="N">smartphone</Keyword><Keyword MajorTopicYN="N">vein</Keyword><Keyword MajorTopicYN="N">vulnerability</Keyword></KeywordList><CoiStatement>The authors declare no conflicts of interest. 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