Measuring Rapid A-Ci Curves in Boreal Conifers: Black Spruce and Balsam Fir.
Identifieur interne : 000848 ( Main/Exploration ); précédent : 000847; suivant : 000849Measuring Rapid A-Ci Curves in Boreal Conifers: Black Spruce and Balsam Fir.
Auteurs : Carole Coursolle [Canada] ; Guillaume Otis Prud'Homme [Canada] ; Manuel Lamothe [Canada] ; Nathalie Isabel [Canada]Source :
- Frontiers in plant science [ 1664-462X ] ; 2019.
Abstract
Climate change is steering tree breeding programs towards the development of families and genotypes that will be adapted and more resilient to changing environments. Making genotype-phenotype-environment connections is central to these predictions and it requires the evaluation of functional traits such as photosynthetic rates that can be linked to environmental variables. However, the ability to rapidly measure photosynthetic parameters has always been limiting. The estimation of Vc,max and Jmax using CO2 response curves has traditionally been time consuming, taking anywhere from 30 min to more than an hour, thereby drastically limiting the number of trees that can be assessed per day. Technological advancements have led to the development of a new generation of portable photosynthesis measurement systems offering greater chamber environmental control and automated sampling and, as a result, the proposal of a new, faster, method (RACiR) for measuring Vc,max and Jmax . This method was developed using poplar trees and involves measuring photosynthetic responses to CO2 over a range of CO2 concentrations changing at a constant rate. The goal of the present study was to adapt the RACiR method for use on conifers whose measurement usually requires much larger leaf chambers. We demonstrate that the RACiR method can be used to estimate Vc,max and Jmax in conifers and provide recommendations to enhance the method. The use our method in conifers will substantially reduce measurement time, thus greatly improving genotype evaluation and selection capabilities based on photosynthetic traits. This study led to the developpement of an R package (RapidACi, https://github.com/ManuelLamothe/RapidACi) that facilitates the correction of multiple RACiR files and the post-measurement correction of leaf areas.
DOI: 10.3389/fpls.2019.01276
PubMed: 31708940
PubMed Central: PMC6823239
Affiliations:
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Canadian Forest Service, Natural Resources Canada, Québec City, QC</wicri:regionArea><wicri:noRegion>QC</wicri:noRegion></affiliation></author></analytic><series><title level="j">Frontiers in plant science</title><idno type="ISSN">1664-462X</idno><imprint><date when="2019" type="published">2019</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Climate change is steering tree breeding programs towards the development of families and genotypes that will be adapted and more resilient to changing environments. Making genotype-phenotype-environment connections is central to these predictions and it requires the evaluation of functional traits such as photosynthetic rates that can be linked to environmental variables. However, the ability to rapidly measure photosynthetic parameters has always been limiting. The estimation of <i>V</i><i><sub>c,max</sub></i> and <i>J</i><i><sub>max</sub></i> using CO<sub>2</sub> response curves has traditionally been time consuming, taking anywhere from 30 min to more than an hour, thereby drastically limiting the number of trees that can be assessed per day. Technological advancements have led to the development of a new generation of portable photosynthesis measurement systems offering greater chamber environmental control and automated sampling and, as a result, the proposal of a new, faster, method (RACiR) for measuring <i>V</i><i><sub>c,max</sub></i> and <i>J</i><i><sub>max</sub></i> . This method was developed using poplar trees and involves measuring photosynthetic responses to CO<sub>2</sub> over a range of CO<sub>2</sub> concentrations changing at a constant rate. The goal of the present study was to adapt the RACiR method for use on conifers whose measurement usually requires much larger leaf chambers. We demonstrate that the RACiR method can be used to estimate <i>V</i><i><sub>c,max</sub></i> and <i>J</i><i><sub>max</sub></i> in conifers and provide recommendations to enhance the method. The use our method in conifers will substantially reduce measurement time, thus greatly improving genotype evaluation and selection capabilities based on photosynthetic traits. This study led to the developpement of an R package (RapidACi, https://github.com/ManuelLamothe/RapidACi) that facilitates the correction of multiple RACiR files and the post-measurement correction of leaf areas.</div></front></TEI><pubmed><MedlineCitation Status="PubMed-not-MEDLINE" Owner="NLM"><PMID Version="1">31708940</PMID><DateRevised><Year>2020</Year><Month>09</Month><Day>29</Day></DateRevised><Article PubModel="Electronic-eCollection"><Journal><ISSN IssnType="Print">1664-462X</ISSN><JournalIssue CitedMedium="Print"><Volume>10</Volume><PubDate><Year>2019</Year></PubDate></JournalIssue><Title>Frontiers in plant science</Title><ISOAbbreviation>Front Plant Sci</ISOAbbreviation></Journal><ArticleTitle>Measuring Rapid <i>A-Ci</i> Curves in Boreal Conifers: Black Spruce and Balsam Fir.</ArticleTitle><Pagination><MedlinePgn>1276</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.3389/fpls.2019.01276</ELocationID><Abstract><AbstractText>Climate change is steering tree breeding programs towards the development of families and genotypes that will be adapted and more resilient to changing environments. Making genotype-phenotype-environment connections is central to these predictions and it requires the evaluation of functional traits such as photosynthetic rates that can be linked to environmental variables. However, the ability to rapidly measure photosynthetic parameters has always been limiting. The estimation of <i>V</i><i><sub>c,max</sub></i> and <i>J</i><i><sub>max</sub></i> using CO<sub>2</sub> response curves has traditionally been time consuming, taking anywhere from 30 min to more than an hour, thereby drastically limiting the number of trees that can be assessed per day. Technological advancements have led to the development of a new generation of portable photosynthesis measurement systems offering greater chamber environmental control and automated sampling and, as a result, the proposal of a new, faster, method (RACiR) for measuring <i>V</i><i><sub>c,max</sub></i> and <i>J</i><i><sub>max</sub></i> . This method was developed using poplar trees and involves measuring photosynthetic responses to CO<sub>2</sub> over a range of CO<sub>2</sub> concentrations changing at a constant rate. The goal of the present study was to adapt the RACiR method for use on conifers whose measurement usually requires much larger leaf chambers. We demonstrate that the RACiR method can be used to estimate <i>V</i><i><sub>c,max</sub></i> and <i>J</i><i><sub>max</sub></i> in conifers and provide recommendations to enhance the method. The use our method in conifers will substantially reduce measurement time, thus greatly improving genotype evaluation and selection capabilities based on photosynthetic traits. This study led to the developpement of an R package (RapidACi, https://github.com/ManuelLamothe/RapidACi) that facilitates the correction of multiple RACiR files and the post-measurement correction of leaf areas.</AbstractText><CopyrightInformation>Copyright © 2019 Her Majesty the Queen in Right of Canada.</CopyrightInformation></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Coursolle</LastName><ForeName>Carole</ForeName><Initials>C</Initials><AffiliationInfo><Affiliation>Laurentian Forestry Centre, Canadian Forest Service, Natural Resources Canada, Québec City, QC, Canada.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Otis Prud'homme</LastName><ForeName>Guillaume</ForeName><Initials>G</Initials><AffiliationInfo><Affiliation>Laurentian Forestry Centre, Canadian Forest Service, Natural Resources Canada, Québec City, QC, Canada.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>Ministère des Forêts, de la Faune et des Parcs, Direction de la recherche forestière, Québec, QC, Canada.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Lamothe</LastName><ForeName>Manuel</ForeName><Initials>M</Initials><AffiliationInfo><Affiliation>Laurentian Forestry Centre, Canadian Forest Service, Natural Resources Canada, Québec City, QC, Canada.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Isabel</LastName><ForeName>Nathalie</ForeName><Initials>N</Initials><AffiliationInfo><Affiliation>Laurentian Forestry Centre, Canadian Forest Service, Natural Resources Canada, Québec City, QC, Canada.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2019</Year><Month>10</Month><Day>25</Day></ArticleDate></Article><MedlineJournalInfo><Country>Switzerland</Country><MedlineTA>Front Plant 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