Pre-symptomatic detection of Plasmopara viticola infection in grapevine leaves using chlorophyll fluorescence imaging
Plasmopara viticola is an economically important pathogen of grapevine. Early detection of P. viticola infection can lead to improved fungicide treatment. Our study aimed to determine whether chlorophyll fluorescence (Chl-F) imaging can be used to reveal early stages of P. viticola infection under c...
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| Veröffentlicht in: | European journal of plant pathology 2009-10, Vol.125 (2), p.291-302 |
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| creator | Cséfalvay, Ladislav Di Gaspero, Gabriele Matouš, Karel Bellin, Diana Ruperti, Benedetto Olejníčková, Julie |
| description | Plasmopara viticola is an economically important pathogen of grapevine. Early detection of P. viticola infection can lead to improved fungicide treatment. Our study aimed to determine whether chlorophyll fluorescence (Chl-F) imaging can be used to reveal early stages of P. viticola infection under conditions similar to those occurring in commercial vineyards. Maximum (FV/FM) and effective quantum yield of photosystem II (ΦPSII) were identified as the most sensitive reporters of the infection. Heterogeneous distribution of FV/FM and ΦPSII in artificially inoculated leaves was associated with the presence of the developing mycelium 3 days before the occurrence of visible symptoms and 5 days before the release of spores. Significant changes of FV/FM and ΦPSII were spatially coincident with localised spots of inoculation across the leaf lamina. Reduction of FV/FM was restricted to the leaf area that later yielded sporulation, while the area with significantly lower ΦPSII was larger and probably reflected the leaf parts in which photosynthesis was impaired. Our results indicate that Chl-F can be used for the early detection of P. viticola infection. Because P. viticola does not expand systemically in the host tissues and the effects of infection are localised, Chl-F imaging at high resolution is necessary to reveal the disease in the field. |
| doi_str_mv | 10.1007/s10658-009-9482-7 |
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Early detection of P. viticola infection can lead to improved fungicide treatment. Our study aimed to determine whether chlorophyll fluorescence (Chl-F) imaging can be used to reveal early stages of P. viticola infection under conditions similar to those occurring in commercial vineyards. Maximum (FV/FM) and effective quantum yield of photosystem II (ΦPSII) were identified as the most sensitive reporters of the infection. Heterogeneous distribution of FV/FM and ΦPSII in artificially inoculated leaves was associated with the presence of the developing mycelium 3 days before the occurrence of visible symptoms and 5 days before the release of spores. Significant changes of FV/FM and ΦPSII were spatially coincident with localised spots of inoculation across the leaf lamina. Reduction of FV/FM was restricted to the leaf area that later yielded sporulation, while the area with significantly lower ΦPSII was larger and probably reflected the leaf parts in which photosynthesis was impaired. Our results indicate that Chl-F can be used for the early detection of P. viticola infection. Because P. viticola does not expand systemically in the host tissues and the effects of infection are localised, Chl-F imaging at high resolution is necessary to reveal the disease in the field.</description><identifier>ISSN: 0929-1873</identifier><identifier>EISSN: 1573-8469</identifier><identifier>DOI: 10.1007/s10658-009-9482-7</identifier><language>eng</language><publisher>Dordrecht: Dordrecht : Springer Netherlands</publisher><subject>Agriculture ; Biological and medical sciences ; Biomedical and Life Sciences ; Chlorophyll ; Ecology ; Economic importance ; Fluorescence ; Fundamental and applied biological sciences. Psychology ; Fungi ; Fungicides ; Life Sciences ; Pest control ; Photosynthesis ; Phytopathology. Animal pests. 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Early detection of P. viticola infection can lead to improved fungicide treatment. Our study aimed to determine whether chlorophyll fluorescence (Chl-F) imaging can be used to reveal early stages of P. viticola infection under conditions similar to those occurring in commercial vineyards. Maximum (FV/FM) and effective quantum yield of photosystem II (ΦPSII) were identified as the most sensitive reporters of the infection. Heterogeneous distribution of FV/FM and ΦPSII in artificially inoculated leaves was associated with the presence of the developing mycelium 3 days before the occurrence of visible symptoms and 5 days before the release of spores. Significant changes of FV/FM and ΦPSII were spatially coincident with localised spots of inoculation across the leaf lamina. Reduction of FV/FM was restricted to the leaf area that later yielded sporulation, while the area with significantly lower ΦPSII was larger and probably reflected the leaf parts in which photosynthesis was impaired. Our results indicate that Chl-F can be used for the early detection of P. viticola infection. Because P. viticola does not expand systemically in the host tissues and the effects of infection are localised, Chl-F imaging at high resolution is necessary to reveal the disease in the field.</description><subject>Agriculture</subject><subject>Biological and medical sciences</subject><subject>Biomedical and Life Sciences</subject><subject>Chlorophyll</subject><subject>Ecology</subject><subject>Economic importance</subject><subject>Fluorescence</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>Fungi</subject><subject>Fungicides</subject><subject>Life Sciences</subject><subject>Pest control</subject><subject>Photosynthesis</subject><subject>Phytopathology. Animal pests. Plant and forest protection</subject><subject>Plant diseases</subject><subject>Plant Pathology</subject><subject>Plant Sciences</subject><subject>Plasmopara viticola</subject><issn>0929-1873</issn><issn>1573-8469</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2009</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp9kU2LFDEURQtRsB39Aa4MgriK5iVdlcpShvEDBhzQWYd06qUmQyopk6qG_vemqUbBhass3rmHG27TvAb2ARiTHwuwru0pY4qqfc-pfNLsoJWC9vtOPW12THFFoZfiefOilEdWM0rxXbPeZaTlNM1LmsziLRlwQbv4FEly5C6YMqXZZEOOvl5TMMRHdwF8JGM2Mx59RBLQHLGQtfg4EvsQUk7zwykE4sKaMhaL0SLxkxkr8LJ55kwo-OryXjX3n29-Xn-lt9-_fLv-dEvtnsFCnQIEQOlUD-AGxIEJdFIM9jBwYzuUIAZ-wLYzAtANbQeHg1B8QCNE51BcNe8375zTrxXLoidfm4RgIqa1aMW4kKJtRSXf_kM-pjXHWk5z6EHKXrIKwQbZnErJ6PSc64_ySQPT5xn0NoOuM-jzDFrWzLuL2BRrgssmWl_-BDmoPefd2c03rtRTHDH_LfA_-Zst5EzSZsxVfP-DMxAMuh7aHsRvYuSkWw</recordid><startdate>20091001</startdate><enddate>20091001</enddate><creator>Cséfalvay, Ladislav</creator><creator>Di Gaspero, Gabriele</creator><creator>Matouš, Karel</creator><creator>Bellin, Diana</creator><creator>Ruperti, Benedetto</creator><creator>Olejníčková, Julie</creator><general>Dordrecht : Springer Netherlands</general><general>Springer Netherlands</general><general>Springer</general><general>Springer Nature B.V</general><scope>FBQ</scope><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QL</scope><scope>7T7</scope><scope>7U9</scope><scope>7X2</scope><scope>88A</scope><scope>8AO</scope><scope>8FD</scope><scope>8FE</scope><scope>8FH</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>LK8</scope><scope>M0K</scope><scope>M7N</scope><scope>M7P</scope><scope>P64</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope></search><sort><creationdate>20091001</creationdate><title>Pre-symptomatic detection of Plasmopara viticola infection in grapevine leaves using chlorophyll fluorescence imaging</title><author>Cséfalvay, Ladislav ; Di Gaspero, Gabriele ; Matouš, Karel ; Bellin, Diana ; Ruperti, Benedetto ; Olejníčková, Julie</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c401t-f91e11e7f9811fdeed03ef73dcbd2ac6e713d2be56a31efd561bb392dea336fe3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2009</creationdate><topic>Agriculture</topic><topic>Biological and medical sciences</topic><topic>Biomedical and Life Sciences</topic><topic>Chlorophyll</topic><topic>Ecology</topic><topic>Economic importance</topic><topic>Fluorescence</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>Fungi</topic><topic>Fungicides</topic><topic>Life Sciences</topic><topic>Pest control</topic><topic>Photosynthesis</topic><topic>Phytopathology. Animal pests. Plant and forest protection</topic><topic>Plant diseases</topic><topic>Plant Pathology</topic><topic>Plant Sciences</topic><topic>Plasmopara viticola</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Cséfalvay, Ladislav</creatorcontrib><creatorcontrib>Di Gaspero, Gabriele</creatorcontrib><creatorcontrib>Matouš, Karel</creatorcontrib><creatorcontrib>Bellin, Diana</creatorcontrib><creatorcontrib>Ruperti, Benedetto</creatorcontrib><creatorcontrib>Olejníčková, Julie</creatorcontrib><collection>AGRIS</collection><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</collection><collection>Biology Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Agricultural Science Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biological Science Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><jtitle>European journal of plant pathology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Cséfalvay, Ladislav</au><au>Di Gaspero, Gabriele</au><au>Matouš, Karel</au><au>Bellin, Diana</au><au>Ruperti, Benedetto</au><au>Olejníčková, Julie</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Pre-symptomatic detection of Plasmopara viticola infection in grapevine leaves using chlorophyll fluorescence imaging</atitle><jtitle>European journal of plant pathology</jtitle><stitle>Eur J Plant Pathol</stitle><date>2009-10-01</date><risdate>2009</risdate><volume>125</volume><issue>2</issue><spage>291</spage><epage>302</epage><pages>291-302</pages><issn>0929-1873</issn><eissn>1573-8469</eissn><abstract>Plasmopara viticola is an economically important pathogen of grapevine. Early detection of P. viticola infection can lead to improved fungicide treatment. Our study aimed to determine whether chlorophyll fluorescence (Chl-F) imaging can be used to reveal early stages of P. viticola infection under conditions similar to those occurring in commercial vineyards. Maximum (FV/FM) and effective quantum yield of photosystem II (ΦPSII) were identified as the most sensitive reporters of the infection. Heterogeneous distribution of FV/FM and ΦPSII in artificially inoculated leaves was associated with the presence of the developing mycelium 3 days before the occurrence of visible symptoms and 5 days before the release of spores. Significant changes of FV/FM and ΦPSII were spatially coincident with localised spots of inoculation across the leaf lamina. Reduction of FV/FM was restricted to the leaf area that later yielded sporulation, while the area with significantly lower ΦPSII was larger and probably reflected the leaf parts in which photosynthesis was impaired. Our results indicate that Chl-F can be used for the early detection of P. viticola infection. Because P. viticola does not expand systemically in the host tissues and the effects of infection are localised, Chl-F imaging at high resolution is necessary to reveal the disease in the field.</abstract><cop>Dordrecht</cop><pub>Dordrecht : Springer Netherlands</pub><doi>10.1007/s10658-009-9482-7</doi><tpages>12</tpages></addata></record> |
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| ispartof | European journal of plant pathology, 2009-10, Vol.125 (2), p.291-302 |
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| subjects | Agriculture Biological and medical sciences Biomedical and Life Sciences Chlorophyll Ecology Economic importance Fluorescence Fundamental and applied biological sciences. Psychology Fungi Fungicides Life Sciences Pest control Photosynthesis Phytopathology. Animal pests. Plant and forest protection Plant diseases Plant Pathology Plant Sciences Plasmopara viticola |
| title | Pre-symptomatic detection of Plasmopara viticola infection in grapevine leaves using chlorophyll fluorescence imaging |
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