Standard area diagrams for tomato early blight severity assessments on leaves and leaflets
Two standard area diagrams (SADs) were developed to quantify the severity of tomato early blight (EB), caused by Alternaria solani , on leaves and leaflets. The SADs were composed by sets of images with distinct EB severity for leaflets (0–40%) and leaves (0-46.4%). To validate the diagrams, 13 eval...
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| Veröffentlicht in: | Australasian plant pathology 2024-05, Vol.53 (3), p.261-272 |
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| creator | dos Anjos, Breno Benvindo Lirio, Victor Côco da Rocha, Matheus Ricardo da Silva, Sophia Machado Ferreira de Paiva Caetano Bucker Moraes, Simone Belan, Leônidas Leoni de Jesus Junior, Waldir Cintra Moraes, Wanderson Bucker da Silva Xavier, André Alves, Fábio Ramos Moraes, Willian Bucker |
| description | Two standard area diagrams (SADs) were developed to quantify the severity of tomato early blight (EB), caused by
Alternaria solani
, on leaves and leaflets. The SADs were composed by sets of images with distinct EB severity for leaflets (0–40%) and leaves (0-46.4%). To validate the diagrams, 13 evaluators with no experience in quantifying the plant disease severity estimated EB severity by using a 50-image sample of tomato leaves and leaflets, first without SADs and then using the proposed SADs. The data were submitted to regression analysis and Lin’s concordance correlation coefficient, and the accuracy, precision, repeatability, and reproducibility of the estimates for EB severity were assessed. Based on the parameters of Lin’s coefficients and intraclass correlations, EB severity estimates were consistent and more reliable using SADs, improving evaluators’ performance. The diagrams proposed in this study improved the quantification of EB severity performed by 13 evaluators, increasing the accuracy, precision, and reliability of the estimates. Therefore, the proposed diagrams can be used in further studies on the epidemiology, resistance, and management strategies of this pathosystem. |
| doi_str_mv | 10.1007/s13313-024-00975-7 |
| format | Article |
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Alternaria solani
, on leaves and leaflets. The SADs were composed by sets of images with distinct EB severity for leaflets (0–40%) and leaves (0-46.4%). To validate the diagrams, 13 evaluators with no experience in quantifying the plant disease severity estimated EB severity by using a 50-image sample of tomato leaves and leaflets, first without SADs and then using the proposed SADs. The data were submitted to regression analysis and Lin’s concordance correlation coefficient, and the accuracy, precision, repeatability, and reproducibility of the estimates for EB severity were assessed. Based on the parameters of Lin’s coefficients and intraclass correlations, EB severity estimates were consistent and more reliable using SADs, improving evaluators’ performance. The diagrams proposed in this study improved the quantification of EB severity performed by 13 evaluators, increasing the accuracy, precision, and reliability of the estimates. Therefore, the proposed diagrams can be used in further studies on the epidemiology, resistance, and management strategies of this pathosystem.</description><identifier>ISSN: 0815-3191</identifier><identifier>EISSN: 1448-6032</identifier><identifier>DOI: 10.1007/s13313-024-00975-7</identifier><language>eng</language><publisher>Dordrecht: Springer Netherlands</publisher><subject>Agriculture ; Alternaria solani ; Biomedical and Life Sciences ; Blight ; Correlation coefficient ; Correlation coefficients ; disease severity ; Early blight ; Ecology ; Entomology ; Epidemiology ; Estimates ; Leaves ; Life Sciences ; Original Research Article ; Performance evaluation ; Plant diseases ; Plant Pathology ; Plant Sciences ; Regression analysis ; Reproducibility ; Tomatoes</subject><ispartof>Australasian plant pathology, 2024-05, Vol.53 (3), p.261-272</ispartof><rights>The Author(s) under exclusive licence to Australasian Plant Pathology Society Inc. 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c303t-a10774dcf84567324c4f1de4de00d3a0e3aa0d3bf246c1455d9cdb65bddac9523</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s13313-024-00975-7$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s13313-024-00975-7$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,778,782,27911,27912,41475,42544,51306</link.rule.ids></links><search><creatorcontrib>dos Anjos, Breno Benvindo</creatorcontrib><creatorcontrib>Lirio, Victor Côco</creatorcontrib><creatorcontrib>da Rocha, Matheus Ricardo</creatorcontrib><creatorcontrib>da Silva, Sophia Machado Ferreira</creatorcontrib><creatorcontrib>de Paiva Caetano Bucker Moraes, Simone</creatorcontrib><creatorcontrib>Belan, Leônidas Leoni</creatorcontrib><creatorcontrib>de Jesus Junior, Waldir Cintra</creatorcontrib><creatorcontrib>Moraes, Wanderson Bucker</creatorcontrib><creatorcontrib>da Silva Xavier, André</creatorcontrib><creatorcontrib>Alves, Fábio Ramos</creatorcontrib><creatorcontrib>Moraes, Willian Bucker</creatorcontrib><title>Standard area diagrams for tomato early blight severity assessments on leaves and leaflets</title><title>Australasian plant pathology</title><addtitle>Australasian Plant Pathol</addtitle><description>Two standard area diagrams (SADs) were developed to quantify the severity of tomato early blight (EB), caused by
Alternaria solani
, on leaves and leaflets. The SADs were composed by sets of images with distinct EB severity for leaflets (0–40%) and leaves (0-46.4%). To validate the diagrams, 13 evaluators with no experience in quantifying the plant disease severity estimated EB severity by using a 50-image sample of tomato leaves and leaflets, first without SADs and then using the proposed SADs. The data were submitted to regression analysis and Lin’s concordance correlation coefficient, and the accuracy, precision, repeatability, and reproducibility of the estimates for EB severity were assessed. Based on the parameters of Lin’s coefficients and intraclass correlations, EB severity estimates were consistent and more reliable using SADs, improving evaluators’ performance. The diagrams proposed in this study improved the quantification of EB severity performed by 13 evaluators, increasing the accuracy, precision, and reliability of the estimates. Therefore, the proposed diagrams can be used in further studies on the epidemiology, resistance, and management strategies of this pathosystem.</description><subject>Agriculture</subject><subject>Alternaria solani</subject><subject>Biomedical and Life Sciences</subject><subject>Blight</subject><subject>Correlation coefficient</subject><subject>Correlation coefficients</subject><subject>disease severity</subject><subject>Early blight</subject><subject>Ecology</subject><subject>Entomology</subject><subject>Epidemiology</subject><subject>Estimates</subject><subject>Leaves</subject><subject>Life Sciences</subject><subject>Original Research Article</subject><subject>Performance evaluation</subject><subject>Plant diseases</subject><subject>Plant Pathology</subject><subject>Plant Sciences</subject><subject>Regression analysis</subject><subject>Reproducibility</subject><subject>Tomatoes</subject><issn>0815-3191</issn><issn>1448-6032</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><recordid>eNp9kMtKBDEQRYMoOD5-wFXAjZvWSifpdC9FfIHgQt24CTWd6rGHfmgqI8zf2-MIggtXdRfnXoojxImCcwXgLlhprXQGuckAKmcztyNmypgyK0Dnu2IGpbKZVpXaFwfMSwBlCg0z8fqUcAgYg8RIKEOLi4g9y2aMMo09plESxm4t5127eEuS6ZNim9YSmYm5pyGxHAfZEX4Sy2lrE5uOEh-JvQY7puOfeyhebq6fr-6yh8fb-6vLh6zWoFOGCpwzoW5KYwunc1ObRgUygQCCRiCNOIV5k5uiVsbaUNVhXth5CFhXNteH4my7-x7HjxVx8n3LNXUdDjSu2GtltTNWleWEnv5Bl-MqDtN3XoN1qjRlZSYq31J1HJkjNf49tj3GtVfgN7r9VrefdPtv3d5NJb0t8QQPC4q_0_-0vgCzHYNp</recordid><startdate>20240501</startdate><enddate>20240501</enddate><creator>dos Anjos, Breno Benvindo</creator><creator>Lirio, Victor Côco</creator><creator>da Rocha, Matheus Ricardo</creator><creator>da Silva, Sophia Machado Ferreira</creator><creator>de Paiva Caetano Bucker Moraes, Simone</creator><creator>Belan, Leônidas Leoni</creator><creator>de Jesus Junior, Waldir Cintra</creator><creator>Moraes, Wanderson Bucker</creator><creator>da Silva Xavier, André</creator><creator>Alves, Fábio Ramos</creator><creator>Moraes, Willian Bucker</creator><general>Springer Netherlands</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7QL</scope><scope>7T7</scope><scope>7U9</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>H94</scope><scope>M7N</scope><scope>P64</scope><scope>7S9</scope><scope>L.6</scope></search><sort><creationdate>20240501</creationdate><title>Standard area diagrams for tomato early blight severity assessments on leaves and leaflets</title><author>dos Anjos, Breno Benvindo ; Lirio, Victor Côco ; da Rocha, Matheus Ricardo ; da Silva, Sophia Machado Ferreira ; de Paiva Caetano Bucker Moraes, Simone ; Belan, Leônidas Leoni ; de Jesus Junior, Waldir Cintra ; Moraes, Wanderson Bucker ; da Silva Xavier, André ; Alves, Fábio Ramos ; Moraes, Willian Bucker</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c303t-a10774dcf84567324c4f1de4de00d3a0e3aa0d3bf246c1455d9cdb65bddac9523</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Agriculture</topic><topic>Alternaria solani</topic><topic>Biomedical and Life Sciences</topic><topic>Blight</topic><topic>Correlation coefficient</topic><topic>Correlation coefficients</topic><topic>disease severity</topic><topic>Early blight</topic><topic>Ecology</topic><topic>Entomology</topic><topic>Epidemiology</topic><topic>Estimates</topic><topic>Leaves</topic><topic>Life Sciences</topic><topic>Original Research Article</topic><topic>Performance evaluation</topic><topic>Plant diseases</topic><topic>Plant Pathology</topic><topic>Plant Sciences</topic><topic>Regression analysis</topic><topic>Reproducibility</topic><topic>Tomatoes</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>dos Anjos, Breno Benvindo</creatorcontrib><creatorcontrib>Lirio, Victor Côco</creatorcontrib><creatorcontrib>da Rocha, Matheus Ricardo</creatorcontrib><creatorcontrib>da Silva, Sophia Machado Ferreira</creatorcontrib><creatorcontrib>de Paiva Caetano Bucker Moraes, Simone</creatorcontrib><creatorcontrib>Belan, Leônidas Leoni</creatorcontrib><creatorcontrib>de Jesus Junior, Waldir Cintra</creatorcontrib><creatorcontrib>Moraes, Wanderson Bucker</creatorcontrib><creatorcontrib>da Silva Xavier, André</creatorcontrib><creatorcontrib>Alves, Fábio Ramos</creatorcontrib><creatorcontrib>Moraes, Willian Bucker</creatorcontrib><collection>CrossRef</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Virology and AIDS Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>AGRICOLA</collection><collection>AGRICOLA - Academic</collection><jtitle>Australasian plant pathology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>dos Anjos, Breno Benvindo</au><au>Lirio, Victor Côco</au><au>da Rocha, Matheus Ricardo</au><au>da Silva, Sophia Machado Ferreira</au><au>de Paiva Caetano Bucker Moraes, Simone</au><au>Belan, Leônidas Leoni</au><au>de Jesus Junior, Waldir Cintra</au><au>Moraes, Wanderson Bucker</au><au>da Silva Xavier, André</au><au>Alves, Fábio Ramos</au><au>Moraes, Willian Bucker</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Standard area diagrams for tomato early blight severity assessments on leaves and leaflets</atitle><jtitle>Australasian plant pathology</jtitle><stitle>Australasian Plant Pathol</stitle><date>2024-05-01</date><risdate>2024</risdate><volume>53</volume><issue>3</issue><spage>261</spage><epage>272</epage><pages>261-272</pages><issn>0815-3191</issn><eissn>1448-6032</eissn><abstract>Two standard area diagrams (SADs) were developed to quantify the severity of tomato early blight (EB), caused by
Alternaria solani
, on leaves and leaflets. The SADs were composed by sets of images with distinct EB severity for leaflets (0–40%) and leaves (0-46.4%). To validate the diagrams, 13 evaluators with no experience in quantifying the plant disease severity estimated EB severity by using a 50-image sample of tomato leaves and leaflets, first without SADs and then using the proposed SADs. The data were submitted to regression analysis and Lin’s concordance correlation coefficient, and the accuracy, precision, repeatability, and reproducibility of the estimates for EB severity were assessed. Based on the parameters of Lin’s coefficients and intraclass correlations, EB severity estimates were consistent and more reliable using SADs, improving evaluators’ performance. The diagrams proposed in this study improved the quantification of EB severity performed by 13 evaluators, increasing the accuracy, precision, and reliability of the estimates. Therefore, the proposed diagrams can be used in further studies on the epidemiology, resistance, and management strategies of this pathosystem.</abstract><cop>Dordrecht</cop><pub>Springer Netherlands</pub><doi>10.1007/s13313-024-00975-7</doi><tpages>12</tpages></addata></record> |
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| subjects | Agriculture Alternaria solani Biomedical and Life Sciences Blight Correlation coefficient Correlation coefficients disease severity Early blight Ecology Entomology Epidemiology Estimates Leaves Life Sciences Original Research Article Performance evaluation Plant diseases Plant Pathology Plant Sciences Regression analysis Reproducibility Tomatoes |
| title | Standard area diagrams for tomato early blight severity assessments on leaves and leaflets |
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