Application of Five Light-Response Models in the Photosynthesis of Populus × Euramericana cv. 'Zhonglin46' Leaves.
Identifieur interne : 001E94 ( Main/Exploration ); précédent : 001E93; suivant : 001E95Application of Five Light-Response Models in the Photosynthesis of Populus × Euramericana cv. 'Zhonglin46' Leaves.
Auteurs : Lidong Fang [République populaire de Chine] ; Shuyong Zhang ; Guangcan Zhang ; Xia Liu ; Xuanxuan Xia ; Songsong Zhang ; Wei Xing ; Xiaochen FangSource :
- Applied biochemistry and biotechnology [ 1559-0291 ] ; 2015.
Descripteurs français
- KwdFr :
- MESH :
- métabolisme : Feuilles de plante, Populus.
- physiologie : Photosynthèse.
- Modèles biologiques.
English descriptors
- KwdEn :
- MESH :
- metabolism : Plant Leaves, Populus.
- physiology : Photosynthesis.
- Models, Biological.
Abstract
The light-response curve of photosynthesis is an important tool used to study plant ecophysiology and can provide a scientific basis for the response of plant photosynthetic characteristics to environmental factors. At present, there are five common light-response models of photosynthesis. To gain deeper insight into the applicability of different light-response models of photosynthesis and the photosynthetic physiological characteristics of Populus euramericana cv. 'Zhonglin46', two typical light-response curves of photosynthesis in P. euramericana cv. 'Zhonglin46' leaves, one under drought stress and the other under control conditions, were measured using a CIRAS-2 portable photosynthesis system. The light-response data were divided into two groups: one set of data was used to fit light-response curves, and the other set of data was used to test them. The accuracy of the fitting and the predictions of the different models were evaluated by mean square error and mean absolute error. The results showed that the light-response curves of P. euramericana cv. 'Zhonglin46' under drought stress matched the light-saturated inhibition type and that those under the control condition matched the approaching light-saturation type. The two new models (i.e., the modified rectangular hyperbola model and modified exponential model) fit the two light-response curves and their characteristic parameters well, and the fitting results of the two models were similar. Conversely, the three traditional models (i.e., the rectangular hyperbola model, nonrectangular hyperbola model, and exponential model) did not fit the two light-response curves well; in particular, they overestimated the maximum net photosynthetic rate, underestimated the light saturation point (LSP), and did not fit the net photosynthetic rate during the light-saturated stage. The LSP calculated by the "linear method" combined with the traditional models was significantly lower than the measured values; additionally, the appropriate value of the proportional coefficient was difficult to determine, and the assumed value (empirical value) could easily lead to unreliable results by the "coefficient method". The "estimation method" based on the measured light-response data was still a relatively accurate, simple, and practical way to determine LSP. In addition, the nonrectangular hyperbolic model also had good accuracy and applicability in fitting the approaching light saturation curve on the basis of the "estimation method" to determine LSP.
DOI: 10.1007/s12010-015-1543-0
PubMed: 25832179
Affiliations:
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'Zhonglin46' Leaves.</title><author><name sortKey="Fang, Lidong" sort="Fang, Lidong" uniqKey="Fang L" first="Lidong" last="Fang">Lidong Fang</name><affiliation wicri:level="1"><nlm:affiliation>Shandong Provincial Key Laboratory of Soil Erosion and Ecological Restoration, Taishan Forest Eco-station of State Forestry Administration, Forestry College of Shandong Agricultural University, Taian, Shandong, 271018, People's Republic of China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Shandong Provincial Key Laboratory of Soil Erosion and Ecological Restoration, Taishan Forest Eco-station of State Forestry Administration, Forestry College of Shandong Agricultural University, Taian, Shandong, 271018</wicri:regionArea><wicri:noRegion>271018</wicri:noRegion></affiliation></author><author><name sortKey="Zhang, Shuyong" sort="Zhang, Shuyong" uniqKey="Zhang S" first="Shuyong" last="Zhang">Shuyong Zhang</name></author><author><name sortKey="Zhang, Guangcan" sort="Zhang, Guangcan" uniqKey="Zhang G" first="Guangcan" last="Zhang">Guangcan Zhang</name></author><author><name sortKey="Liu, Xia" sort="Liu, Xia" uniqKey="Liu X" first="Xia" last="Liu">Xia Liu</name></author><author><name sortKey="Xia, Xuanxuan" sort="Xia, Xuanxuan" uniqKey="Xia X" first="Xuanxuan" last="Xia">Xuanxuan Xia</name></author><author><name sortKey="Zhang, Songsong" sort="Zhang, Songsong" uniqKey="Zhang S" first="Songsong" last="Zhang">Songsong Zhang</name></author><author><name sortKey="Xing, Wei" sort="Xing, Wei" uniqKey="Xing W" first="Wei" last="Xing">Wei Xing</name></author><author><name sortKey="Fang, Xiaochen" sort="Fang, Xiaochen" uniqKey="Fang X" first="Xiaochen" last="Fang">Xiaochen Fang</name></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2015">2015</date><idno type="RBID">pubmed:25832179</idno><idno type="pmid">25832179</idno><idno type="doi">10.1007/s12010-015-1543-0</idno><idno type="wicri:Area/Main/Corpus">001D57</idno><idno type="wicri:explorRef" wicri:stream="Main" wicri:step="Corpus" wicri:corpus="PubMed">001D57</idno><idno type="wicri:Area/Main/Curation">001D57</idno><idno type="wicri:explorRef" wicri:stream="Main" wicri:step="Curation">001D57</idno><idno type="wicri:Area/Main/Exploration">001D57</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Application of Five Light-Response Models in the Photosynthesis of Populus × Euramericana cv. 'Zhonglin46' Leaves.</title><author><name sortKey="Fang, Lidong" sort="Fang, Lidong" uniqKey="Fang L" first="Lidong" last="Fang">Lidong Fang</name><affiliation wicri:level="1"><nlm:affiliation>Shandong Provincial Key Laboratory of Soil Erosion and Ecological Restoration, Taishan Forest Eco-station of State Forestry Administration, Forestry College of Shandong Agricultural University, Taian, Shandong, 271018, People's Republic of China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Shandong Provincial Key Laboratory of Soil Erosion and Ecological Restoration, Taishan Forest Eco-station of State Forestry Administration, Forestry College of Shandong Agricultural University, Taian, Shandong, 271018</wicri:regionArea><wicri:noRegion>271018</wicri:noRegion></affiliation></author><author><name sortKey="Zhang, Shuyong" sort="Zhang, Shuyong" uniqKey="Zhang S" first="Shuyong" last="Zhang">Shuyong Zhang</name></author><author><name sortKey="Zhang, Guangcan" sort="Zhang, Guangcan" uniqKey="Zhang G" first="Guangcan" last="Zhang">Guangcan Zhang</name></author><author><name sortKey="Liu, Xia" sort="Liu, Xia" uniqKey="Liu X" first="Xia" last="Liu">Xia Liu</name></author><author><name sortKey="Xia, Xuanxuan" sort="Xia, Xuanxuan" uniqKey="Xia X" first="Xuanxuan" last="Xia">Xuanxuan Xia</name></author><author><name sortKey="Zhang, Songsong" sort="Zhang, Songsong" uniqKey="Zhang S" first="Songsong" last="Zhang">Songsong Zhang</name></author><author><name sortKey="Xing, Wei" sort="Xing, Wei" uniqKey="Xing W" first="Wei" last="Xing">Wei Xing</name></author><author><name sortKey="Fang, Xiaochen" sort="Fang, Xiaochen" uniqKey="Fang X" first="Xiaochen" last="Fang">Xiaochen Fang</name></author></analytic><series><title level="j">Applied biochemistry and biotechnology</title><idno type="eISSN">1559-0291</idno><imprint><date when="2015" type="published">2015</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Models, Biological (MeSH)</term><term>Photosynthesis (physiology)</term><term>Plant Leaves (metabolism)</term><term>Populus (metabolism)</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Feuilles de plante (métabolisme)</term><term>Modèles biologiques (MeSH)</term><term>Photosynthèse (physiologie)</term><term>Populus (métabolisme)</term></keywords><keywords scheme="MESH" qualifier="metabolism" xml:lang="en"><term>Plant Leaves</term><term>Populus</term></keywords><keywords scheme="MESH" qualifier="métabolisme" xml:lang="fr"><term>Feuilles de plante</term><term>Populus</term></keywords><keywords scheme="MESH" qualifier="physiologie" xml:lang="fr"><term>Photosynthèse</term></keywords><keywords scheme="MESH" qualifier="physiology" xml:lang="en"><term>Photosynthesis</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Models, Biological</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Modèles biologiques</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">The light-response curve of photosynthesis is an important tool used to study plant ecophysiology and can provide a scientific basis for the response of plant photosynthetic characteristics to environmental factors. At present, there are five common light-response models of photosynthesis. To gain deeper insight into the applicability of different light-response models of photosynthesis and the photosynthetic physiological characteristics of Populus euramericana cv. 'Zhonglin46', two typical light-response curves of photosynthesis in P. euramericana cv. 'Zhonglin46' leaves, one under drought stress and the other under control conditions, were measured using a CIRAS-2 portable photosynthesis system. The light-response data were divided into two groups: one set of data was used to fit light-response curves, and the other set of data was used to test them. The accuracy of the fitting and the predictions of the different models were evaluated by mean square error and mean absolute error. The results showed that the light-response curves of P. euramericana cv. 'Zhonglin46' under drought stress matched the light-saturated inhibition type and that those under the control condition matched the approaching light-saturation type. The two new models (i.e., the modified rectangular hyperbola model and modified exponential model) fit the two light-response curves and their characteristic parameters well, and the fitting results of the two models were similar. Conversely, the three traditional models (i.e., the rectangular hyperbola model, nonrectangular hyperbola model, and exponential model) did not fit the two light-response curves well; in particular, they overestimated the maximum net photosynthetic rate, underestimated the light saturation point (LSP), and did not fit the net photosynthetic rate during the light-saturated stage. The LSP calculated by the "linear method" combined with the traditional models was significantly lower than the measured values; additionally, the appropriate value of the proportional coefficient was difficult to determine, and the assumed value (empirical value) could easily lead to unreliable results by the "coefficient method". The "estimation method" based on the measured light-response data was still a relatively accurate, simple, and practical way to determine LSP. In addition, the nonrectangular hyperbolic model also had good accuracy and applicability in fitting the approaching light saturation curve on the basis of the "estimation method" to determine LSP. </div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">25832179</PMID><DateCompleted><Year>2016</Year><Month>02</Month><Day>11</Day></DateCompleted><DateRevised><Year>2015</Year><Month>05</Month><Day>21</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1559-0291</ISSN><JournalIssue CitedMedium="Internet"><Volume>176</Volume><Issue>1</Issue><PubDate><Year>2015</Year><Month>May</Month></PubDate></JournalIssue><Title>Applied biochemistry and biotechnology</Title><ISOAbbreviation>Appl Biochem Biotechnol</ISOAbbreviation></Journal><ArticleTitle>Application of Five Light-Response Models in the Photosynthesis of Populus × Euramericana cv. 'Zhonglin46' Leaves.</ArticleTitle><Pagination><MedlinePgn>86-100</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1007/s12010-015-1543-0</ELocationID><Abstract><AbstractText>The light-response curve of photosynthesis is an important tool used to study plant ecophysiology and can provide a scientific basis for the response of plant photosynthetic characteristics to environmental factors. At present, there are five common light-response models of photosynthesis. To gain deeper insight into the applicability of different light-response models of photosynthesis and the photosynthetic physiological characteristics of Populus euramericana cv. 'Zhonglin46', two typical light-response curves of photosynthesis in P. euramericana cv. 'Zhonglin46' leaves, one under drought stress and the other under control conditions, were measured using a CIRAS-2 portable photosynthesis system. The light-response data were divided into two groups: one set of data was used to fit light-response curves, and the other set of data was used to test them. The accuracy of the fitting and the predictions of the different models were evaluated by mean square error and mean absolute error. The results showed that the light-response curves of P. euramericana cv. 'Zhonglin46' under drought stress matched the light-saturated inhibition type and that those under the control condition matched the approaching light-saturation type. The two new models (i.e., the modified rectangular hyperbola model and modified exponential model) fit the two light-response curves and their characteristic parameters well, and the fitting results of the two models were similar. Conversely, the three traditional models (i.e., the rectangular hyperbola model, nonrectangular hyperbola model, and exponential model) did not fit the two light-response curves well; in particular, they overestimated the maximum net photosynthetic rate, underestimated the light saturation point (LSP), and did not fit the net photosynthetic rate during the light-saturated stage. The LSP calculated by the "linear method" combined with the traditional models was significantly lower than the measured values; additionally, the appropriate value of the proportional coefficient was difficult to determine, and the assumed value (empirical value) could easily lead to unreliable results by the "coefficient method". The "estimation method" based on the measured light-response data was still a relatively accurate, simple, and practical way to determine LSP. In addition, the nonrectangular hyperbolic model also had good accuracy and applicability in fitting the approaching light saturation curve on the basis of the "estimation method" to determine LSP. </AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Fang</LastName><ForeName>Lidong</ForeName><Initials>L</Initials><AffiliationInfo><Affiliation>Shandong Provincial Key Laboratory of Soil Erosion and Ecological Restoration, Taishan Forest Eco-station of State Forestry Administration, Forestry College of Shandong Agricultural University, Taian, Shandong, 271018, People's Republic of China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Zhang</LastName><ForeName>Shuyong</ForeName><Initials>S</Initials></Author><Author ValidYN="Y"><LastName>Zhang</LastName><ForeName>Guangcan</ForeName><Initials>G</Initials></Author><Author ValidYN="Y"><LastName>Liu</LastName><ForeName>Xia</ForeName><Initials>X</Initials></Author><Author ValidYN="Y"><LastName>Xia</LastName><ForeName>Xuanxuan</ForeName><Initials>X</Initials></Author><Author ValidYN="Y"><LastName>Zhang</LastName><ForeName>Songsong</ForeName><Initials>S</Initials></Author><Author ValidYN="Y"><LastName>Xing</LastName><ForeName>Wei</ForeName><Initials>W</Initials></Author><Author ValidYN="Y"><LastName>Fang</LastName><ForeName>Xiaochen</ForeName><Initials>X</Initials></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType><PublicationType UI="D013485">Research Support, Non-U.S. Gov't</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2015</Year><Month>04</Month><Day>02</Day></ArticleDate></Article><MedlineJournalInfo><Country>United States</Country><MedlineTA>Appl Biochem Biotechnol</MedlineTA><NlmUniqueID>8208561</NlmUniqueID><ISSNLinking>0273-2289</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D008954" MajorTopicYN="Y">Models, Biological</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D010788" MajorTopicYN="N">Photosynthesis</DescriptorName><QualifierName UI="Q000502" MajorTopicYN="Y">physiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D018515" MajorTopicYN="N">Plant Leaves</DescriptorName><QualifierName UI="Q000378" MajorTopicYN="Y">metabolism</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D032107" MajorTopicYN="N">Populus</DescriptorName><QualifierName UI="Q000378" MajorTopicYN="Y">metabolism</QualifierName></MeshHeading></MeshHeadingList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2014</Year><Month>09</Month><Day>13</Day></PubMedPubDate><PubMedPubDate PubStatus="accepted"><Year>2015</Year><Month>02</Month><Day>09</Day></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2015</Year><Month>4</Month><Day>3</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2015</Year><Month>4</Month><Day>3</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2016</Year><Month>2</Month><Day>13</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">25832179</ArticleId><ArticleId IdType="doi">10.1007/s12010-015-1543-0</ArticleId></ArticleIdList></PubmedData></pubmed><affiliations><list><country><li>République populaire de Chine</li></country></list><tree><noCountry><name sortKey="Fang, Xiaochen" sort="Fang, Xiaochen" uniqKey="Fang X" first="Xiaochen" last="Fang">Xiaochen Fang</name><name sortKey="Liu, Xia" sort="Liu, Xia" uniqKey="Liu X" first="Xia" last="Liu">Xia Liu</name><name sortKey="Xia, Xuanxuan" sort="Xia, Xuanxuan" uniqKey="Xia X" first="Xuanxuan" last="Xia">Xuanxuan Xia</name><name sortKey="Xing, Wei" sort="Xing, Wei" uniqKey="Xing W" first="Wei" last="Xing">Wei Xing</name><name sortKey="Zhang, Guangcan" sort="Zhang, Guangcan" uniqKey="Zhang G" first="Guangcan" last="Zhang">Guangcan Zhang</name><name sortKey="Zhang, Shuyong" sort="Zhang, Shuyong" uniqKey="Zhang S" first="Shuyong" last="Zhang">Shuyong Zhang</name><name sortKey="Zhang, Songsong" sort="Zhang, Songsong" uniqKey="Zhang S" first="Songsong" last="Zhang">Songsong Zhang</name></noCountry><country name="République populaire de Chine"><noRegion><name sortKey="Fang, Lidong" sort="Fang, Lidong" uniqKey="Fang L" first="Lidong" last="Fang">Lidong Fang</name></noRegion></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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