Improving accuracy, precision and reliability of severity estimates of Glomerella leaf spot on apple leaves using a new standard area diagram set
Glomerella leaf spot (GLS) causes severe necrotic leaf symptoms on Gala, the most cultivated apple cultivar in Brazil. To evaluate this disease, the standard area diagram set (SADs) developed on the state of Paraná for a leaf severity level up to 30.93% has been used. However, in samples collected i...
Gespeichert in:
| Veröffentlicht in: | European journal of plant pathology 2019-03, Vol.153 (3), p.975-982 |
|---|---|
| Hauptverfasser: | , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 982 |
|---|---|
| container_issue | 3 |
| container_start_page | 975 |
| container_title | European journal of plant pathology |
| container_volume | 153 |
| creator | Moreira, Rafaele Regina da Silva Silveira Duarte, Henrique De Mio, Louise Larissa May |
| description | Glomerella leaf spot (GLS) causes severe necrotic leaf symptoms on Gala, the most cultivated apple cultivar in Brazil. To evaluate this disease, the standard area diagram set (SADs) developed on the state of Paraná for a leaf severity level up to 30.93% has been used. However, in samples collected in the states of Santa Catarina and Rio Grande do Sul, disease symptoms reach 75% of severity. Therefore, the objective of this study was to develop and to validate new SADs that include higher GLS severity levels. The proposed SADs have 10 color images of diseased leaves with severity values ranging from 0.2 to 75%. These SADs were validated by 12 raters and have significantly improved the disease assessment. Therefore, it is believed that SADs developed in the present study will allow an adequate evaluation in regions or orchards where the disease is more severe. |
| doi_str_mv | 10.1007/s10658-018-01610-0 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2125582530</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2125582530</sourcerecordid><originalsourceid>FETCH-LOGICAL-c319t-d4fa7d30fb6ae330c6286ee37610f78d7e3770a00e1192e68b929d10f4e198f13</originalsourceid><addsrcrecordid>eNp9kM1KAzEUhYMoWKsv4Crg1tH8dCbJUorWQsGNrkM6c6ekzJ_JTKWP4Rt7pyO4cxESbr5zLucQcsvZA2dMPUbOslQnjI8n4yxhZ2TGUyUTvcjMOZkxI0zCtZKX5CrGPUORMWJGvtd1F9qDb3bU5fkQXH68p12A3EffNtQ1BQ1Qebf1le-PtC1phAOE8Q2x97XrIY7TVdXWgGTlaAUOqa7t6WjQdRWMowNyQzztoQ180dijtwsFdQEcLbzbBVejeX9NLkpXRbj5vefk4-X5ffmabN5W6-XTJsklN31SLEqnCsnKbeZASpZnQmcAUmH6UulC4VMxxxhwbgRkeosNFPi3AG50yeWc3E2-mP9zwDB23w6hwZVWcJGmWqSSISUmKg9tjAFK2wVMHY6WMztWb6fqLVZvT9XbUSQnUUS42UH4s_5H9QO0pYjb</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2125582530</pqid></control><display><type>article</type><title>Improving accuracy, precision and reliability of severity estimates of Glomerella leaf spot on apple leaves using a new standard area diagram set</title><source>SpringerLink Journals</source><creator>Moreira, Rafaele Regina ; da Silva Silveira Duarte, Henrique ; De Mio, Louise Larissa May</creator><creatorcontrib>Moreira, Rafaele Regina ; da Silva Silveira Duarte, Henrique ; De Mio, Louise Larissa May</creatorcontrib><description>Glomerella leaf spot (GLS) causes severe necrotic leaf symptoms on Gala, the most cultivated apple cultivar in Brazil. To evaluate this disease, the standard area diagram set (SADs) developed on the state of Paraná for a leaf severity level up to 30.93% has been used. However, in samples collected in the states of Santa Catarina and Rio Grande do Sul, disease symptoms reach 75% of severity. Therefore, the objective of this study was to develop and to validate new SADs that include higher GLS severity levels. The proposed SADs have 10 color images of diseased leaves with severity values ranging from 0.2 to 75%. These SADs were validated by 12 raters and have significantly improved the disease assessment. Therefore, it is believed that SADs developed in the present study will allow an adequate evaluation in regions or orchards where the disease is more severe.</description><identifier>ISSN: 0929-1873</identifier><identifier>EISSN: 1573-8469</identifier><identifier>DOI: 10.1007/s10658-018-01610-0</identifier><language>eng</language><publisher>Dordrecht: Springer Netherlands</publisher><subject>Agriculture ; Biomedical and Life Sciences ; Color imagery ; Cultivars ; Cultivation ; Ecology ; Fruit cultivation ; Image processing ; Leafspot ; Leaves ; Life Sciences ; Orchards ; Plant Pathology ; Plant Sciences ; Spot</subject><ispartof>European journal of plant pathology, 2019-03, Vol.153 (3), p.975-982</ispartof><rights>Koninklijke Nederlandse Planteziektenkundige Vereniging 2018</rights><rights>European Journal of Plant Pathology is a copyright of Springer, (2018). All Rights Reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c319t-d4fa7d30fb6ae330c6286ee37610f78d7e3770a00e1192e68b929d10f4e198f13</citedby><cites>FETCH-LOGICAL-c319t-d4fa7d30fb6ae330c6286ee37610f78d7e3770a00e1192e68b929d10f4e198f13</cites><orcidid>0000-0002-5884-4797</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s10658-018-01610-0$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s10658-018-01610-0$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids></links><search><creatorcontrib>Moreira, Rafaele Regina</creatorcontrib><creatorcontrib>da Silva Silveira Duarte, Henrique</creatorcontrib><creatorcontrib>De Mio, Louise Larissa May</creatorcontrib><title>Improving accuracy, precision and reliability of severity estimates of Glomerella leaf spot on apple leaves using a new standard area diagram set</title><title>European journal of plant pathology</title><addtitle>Eur J Plant Pathol</addtitle><description>Glomerella leaf spot (GLS) causes severe necrotic leaf symptoms on Gala, the most cultivated apple cultivar in Brazil. To evaluate this disease, the standard area diagram set (SADs) developed on the state of Paraná for a leaf severity level up to 30.93% has been used. However, in samples collected in the states of Santa Catarina and Rio Grande do Sul, disease symptoms reach 75% of severity. Therefore, the objective of this study was to develop and to validate new SADs that include higher GLS severity levels. The proposed SADs have 10 color images of diseased leaves with severity values ranging from 0.2 to 75%. These SADs were validated by 12 raters and have significantly improved the disease assessment. Therefore, it is believed that SADs developed in the present study will allow an adequate evaluation in regions or orchards where the disease is more severe.</description><subject>Agriculture</subject><subject>Biomedical and Life Sciences</subject><subject>Color imagery</subject><subject>Cultivars</subject><subject>Cultivation</subject><subject>Ecology</subject><subject>Fruit cultivation</subject><subject>Image processing</subject><subject>Leafspot</subject><subject>Leaves</subject><subject>Life Sciences</subject><subject>Orchards</subject><subject>Plant Pathology</subject><subject>Plant Sciences</subject><subject>Spot</subject><issn>0929-1873</issn><issn>1573-8469</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNp9kM1KAzEUhYMoWKsv4Crg1tH8dCbJUorWQsGNrkM6c6ekzJ_JTKWP4Rt7pyO4cxESbr5zLucQcsvZA2dMPUbOslQnjI8n4yxhZ2TGUyUTvcjMOZkxI0zCtZKX5CrGPUORMWJGvtd1F9qDb3bU5fkQXH68p12A3EffNtQ1BQ1Qebf1le-PtC1phAOE8Q2x97XrIY7TVdXWgGTlaAUOqa7t6WjQdRWMowNyQzztoQ180dijtwsFdQEcLbzbBVejeX9NLkpXRbj5vefk4-X5ffmabN5W6-XTJsklN31SLEqnCsnKbeZASpZnQmcAUmH6UulC4VMxxxhwbgRkeosNFPi3AG50yeWc3E2-mP9zwDB23w6hwZVWcJGmWqSSISUmKg9tjAFK2wVMHY6WMztWb6fqLVZvT9XbUSQnUUS42UH4s_5H9QO0pYjb</recordid><startdate>20190301</startdate><enddate>20190301</enddate><creator>Moreira, Rafaele Regina</creator><creator>da Silva Silveira Duarte, Henrique</creator><creator>De Mio, Louise Larissa May</creator><general>Springer Netherlands</general><general>Springer Nature B.V</general><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>AEUYN</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><orcidid>https://orcid.org/0000-0002-5884-4797</orcidid></search><sort><creationdate>20190301</creationdate><title>Improving accuracy, precision and reliability of severity estimates of Glomerella leaf spot on apple leaves using a new standard area diagram set</title><author>Moreira, Rafaele Regina ; da Silva Silveira Duarte, Henrique ; De Mio, Louise Larissa May</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c319t-d4fa7d30fb6ae330c6286ee37610f78d7e3770a00e1192e68b929d10f4e198f13</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Agriculture</topic><topic>Biomedical and Life Sciences</topic><topic>Color imagery</topic><topic>Cultivars</topic><topic>Cultivation</topic><topic>Ecology</topic><topic>Fruit cultivation</topic><topic>Image processing</topic><topic>Leafspot</topic><topic>Leaves</topic><topic>Life Sciences</topic><topic>Orchards</topic><topic>Plant Pathology</topic><topic>Plant Sciences</topic><topic>Spot</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Moreira, Rafaele Regina</creatorcontrib><creatorcontrib>da Silva Silveira Duarte, Henrique</creatorcontrib><creatorcontrib>De Mio, Louise Larissa May</creatorcontrib><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 One Sustainability</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>Moreira, Rafaele Regina</au><au>da Silva Silveira Duarte, Henrique</au><au>De Mio, Louise Larissa May</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Improving accuracy, precision and reliability of severity estimates of Glomerella leaf spot on apple leaves using a new standard area diagram set</atitle><jtitle>European journal of plant pathology</jtitle><stitle>Eur J Plant Pathol</stitle><date>2019-03-01</date><risdate>2019</risdate><volume>153</volume><issue>3</issue><spage>975</spage><epage>982</epage><pages>975-982</pages><issn>0929-1873</issn><eissn>1573-8469</eissn><abstract>Glomerella leaf spot (GLS) causes severe necrotic leaf symptoms on Gala, the most cultivated apple cultivar in Brazil. To evaluate this disease, the standard area diagram set (SADs) developed on the state of Paraná for a leaf severity level up to 30.93% has been used. However, in samples collected in the states of Santa Catarina and Rio Grande do Sul, disease symptoms reach 75% of severity. Therefore, the objective of this study was to develop and to validate new SADs that include higher GLS severity levels. The proposed SADs have 10 color images of diseased leaves with severity values ranging from 0.2 to 75%. These SADs were validated by 12 raters and have significantly improved the disease assessment. Therefore, it is believed that SADs developed in the present study will allow an adequate evaluation in regions or orchards where the disease is more severe.</abstract><cop>Dordrecht</cop><pub>Springer Netherlands</pub><doi>10.1007/s10658-018-01610-0</doi><tpages>8</tpages><orcidid>https://orcid.org/0000-0002-5884-4797</orcidid></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0929-1873 |
| ispartof | European journal of plant pathology, 2019-03, Vol.153 (3), p.975-982 |
| issn | 0929-1873 1573-8469 |
| language | eng |
| recordid | cdi_proquest_journals_2125582530 |
| source | SpringerLink Journals |
| subjects | Agriculture Biomedical and Life Sciences Color imagery Cultivars Cultivation Ecology Fruit cultivation Image processing Leafspot Leaves Life Sciences Orchards Plant Pathology Plant Sciences Spot |
| title | Improving accuracy, precision and reliability of severity estimates of Glomerella leaf spot on apple leaves using a new standard area diagram set |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-05T01%3A02%3A31IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Improving%20accuracy,%20precision%20and%20reliability%20of%20severity%20estimates%20of%20Glomerella%20leaf%20spot%20on%20apple%20leaves%20using%20a%20new%20standard%20area%20diagram%20set&rft.jtitle=European%20journal%20of%20plant%20pathology&rft.au=Moreira,%20Rafaele%20Regina&rft.date=2019-03-01&rft.volume=153&rft.issue=3&rft.spage=975&rft.epage=982&rft.pages=975-982&rft.issn=0929-1873&rft.eissn=1573-8469&rft_id=info:doi/10.1007/s10658-018-01610-0&rft_dat=%3Cproquest_cross%3E2125582530%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2125582530&rft_id=info:pmid/&rfr_iscdi=true |