Management of coffee leaf rust in Coffea canephora based on disease monitoring reduces fungicide use and management cost
One of the objectives of integrated production (IP) are rationalizing the use of pesticides. For conilon coffee ( Coffea canephora ), a coffee leaf rust ( Hemileia vastatrix ) management system based on IP principles needs to be proposed and validated. Thus, this study aimed to quantify the economic...
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| Veröffentlicht in: | European journal of plant pathology 2020-03, Vol.156 (3), p.683-694 |
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| creator | Belan, Leônidas Leoni de Jesus Junior, Waldir Cintra de Souza, Antônio Fernando Zambolim, Laércio Filho, Joel Cardoso Barbosa, Dimmy Herllen Silveira Gomes Moraes, Willian Bucker |
| description | One of the objectives of integrated production (IP) are rationalizing the use of pesticides. For conilon coffee (
Coffea canephora
), a coffee leaf rust (
Hemileia vastatrix
) management system based on IP principles needs to be proposed and validated. Thus, this study aimed to quantify the economic and environmental effects of rust management based on disease monitoring for decision-making regarding fungicide use in conilon coffee (integrated coffee production, ICP-Conilon). The ICP-Conilon system was compared with the conventional rust management system (CS) based on a fixed schedule of fungicide application by delineating two plots of
C. canephora
clonal fields. The incidence of leaf rust in the plants from each clone was quantified monthly and, in the ICP-Conilon plots, systemic fungicide was applied only to the clones/planting rows with monthly disease incidence of ≥5%. The ICP-Conilon system resulted in an average reduction of 71.3% in the fungicide volume applied/ha/year, compared to that in the CS plots. Thus, it was possible to reduce, on average, 21% of the rust management cost in clonal conilon coffee plantations. |
| doi_str_mv | 10.1007/s10658-019-01917-6 |
| format | Article |
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Coffea canephora
), a coffee leaf rust (
Hemileia vastatrix
) management system based on IP principles needs to be proposed and validated. Thus, this study aimed to quantify the economic and environmental effects of rust management based on disease monitoring for decision-making regarding fungicide use in conilon coffee (integrated coffee production, ICP-Conilon). The ICP-Conilon system was compared with the conventional rust management system (CS) based on a fixed schedule of fungicide application by delineating two plots of
C. canephora
clonal fields. The incidence of leaf rust in the plants from each clone was quantified monthly and, in the ICP-Conilon plots, systemic fungicide was applied only to the clones/planting rows with monthly disease incidence of ≥5%. The ICP-Conilon system resulted in an average reduction of 71.3% in the fungicide volume applied/ha/year, compared to that in the CS plots. Thus, it was possible to reduce, on average, 21% of the rust management cost in clonal conilon coffee plantations.</description><identifier>ISSN: 0929-1873</identifier><identifier>EISSN: 1573-8469</identifier><identifier>DOI: 10.1007/s10658-019-01917-6</identifier><language>eng</language><publisher>Dordrecht: Springer Netherlands</publisher><subject>Agriculture ; Biomedical and Life Sciences ; Coffea canephora ; Coffee ; Decision making ; Disease control ; Disease management ; Ecology ; Environmental effects ; Environmental management ; Fungicides ; Leaf rust ; Leaves ; Life Sciences ; Monitoring ; Pesticides ; Plant Pathology ; Plant Sciences ; Schedules</subject><ispartof>European journal of plant pathology, 2020-03, Vol.156 (3), p.683-694</ispartof><rights>Koninklijke Nederlandse Planteziektenkundige Vereniging 2020</rights><rights>European Journal of Plant Pathology is a copyright of Springer, (2020). All Rights Reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c319t-1a2d4d4209ea8a136830c0d1adaeba06ed84e73748c6804ecca0027c158575883</citedby><cites>FETCH-LOGICAL-c319t-1a2d4d4209ea8a136830c0d1adaeba06ed84e73748c6804ecca0027c158575883</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/s10658-019-01917-6$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s10658-019-01917-6$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,41488,42557,51319</link.rule.ids></links><search><creatorcontrib>Belan, Leônidas Leoni</creatorcontrib><creatorcontrib>de Jesus Junior, Waldir Cintra</creatorcontrib><creatorcontrib>de Souza, Antônio Fernando</creatorcontrib><creatorcontrib>Zambolim, Laércio</creatorcontrib><creatorcontrib>Filho, Joel Cardoso</creatorcontrib><creatorcontrib>Barbosa, Dimmy Herllen Silveira Gomes</creatorcontrib><creatorcontrib>Moraes, Willian Bucker</creatorcontrib><title>Management of coffee leaf rust in Coffea canephora based on disease monitoring reduces fungicide use and management cost</title><title>European journal of plant pathology</title><addtitle>Eur J Plant Pathol</addtitle><description>One of the objectives of integrated production (IP) are rationalizing the use of pesticides. For conilon coffee (
Coffea canephora
), a coffee leaf rust (
Hemileia vastatrix
) management system based on IP principles needs to be proposed and validated. Thus, this study aimed to quantify the economic and environmental effects of rust management based on disease monitoring for decision-making regarding fungicide use in conilon coffee (integrated coffee production, ICP-Conilon). The ICP-Conilon system was compared with the conventional rust management system (CS) based on a fixed schedule of fungicide application by delineating two plots of
C. canephora
clonal fields. The incidence of leaf rust in the plants from each clone was quantified monthly and, in the ICP-Conilon plots, systemic fungicide was applied only to the clones/planting rows with monthly disease incidence of ≥5%. The ICP-Conilon system resulted in an average reduction of 71.3% in the fungicide volume applied/ha/year, compared to that in the CS plots. Thus, it was possible to reduce, on average, 21% of the rust management cost in clonal conilon coffee plantations.</description><subject>Agriculture</subject><subject>Biomedical and Life Sciences</subject><subject>Coffea canephora</subject><subject>Coffee</subject><subject>Decision making</subject><subject>Disease control</subject><subject>Disease management</subject><subject>Ecology</subject><subject>Environmental effects</subject><subject>Environmental management</subject><subject>Fungicides</subject><subject>Leaf rust</subject><subject>Leaves</subject><subject>Life Sciences</subject><subject>Monitoring</subject><subject>Pesticides</subject><subject>Plant Pathology</subject><subject>Plant Sciences</subject><subject>Schedules</subject><issn>0929-1873</issn><issn>1573-8469</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</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>eNp9kE1LxDAQhoMouK7-AU8Bz9WkafNxlMUvULzoOcwm07XLNqlJC_rv7Vphbx6GGYb3mZd5Cbnk7Jozpm4yZ7LWBeNmX1wV8ogseK1EoStpjsmCmdIUXCtxSs5y3rIJMqZckK8XCLDBDsNAY0NdbBpEukNoaBrzQNtAV_sdUAcB-4-YgK4ho6cxUN9mnGbaxdAOMbVhQxP60WGmzRg2rWs90nESQPC0Oxi5mIdzctLALuPFX1-S9_u7t9Vj8fz68LS6fS6c4GYoOJS-8lXJDIIGLqQWzDHPwQOugUn0ukIlVKWd1KxC54CxUjle61rVWosluZrv9il-jpgHu41jCpOlLYXitWS1UpOqnFUuxZwTNrZPbQfp23Jm9wnbOWE7pWt_E7ZygsQM5X7_O6bD6X-oHxBBf4Y</recordid><startdate>20200301</startdate><enddate>20200301</enddate><creator>Belan, Leônidas Leoni</creator><creator>de Jesus Junior, Waldir Cintra</creator><creator>de Souza, Antônio Fernando</creator><creator>Zambolim, Laércio</creator><creator>Filho, Joel Cardoso</creator><creator>Barbosa, Dimmy Herllen Silveira Gomes</creator><creator>Moraes, Willian Bucker</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>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>20200301</creationdate><title>Management of coffee leaf rust in Coffea canephora based on disease monitoring reduces fungicide use and management cost</title><author>Belan, Leônidas Leoni ; de Jesus Junior, Waldir Cintra ; de Souza, Antônio Fernando ; Zambolim, Laércio ; Filho, Joel Cardoso ; Barbosa, Dimmy Herllen Silveira Gomes ; Moraes, Willian Bucker</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c319t-1a2d4d4209ea8a136830c0d1adaeba06ed84e73748c6804ecca0027c158575883</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Agriculture</topic><topic>Biomedical and Life Sciences</topic><topic>Coffea canephora</topic><topic>Coffee</topic><topic>Decision making</topic><topic>Disease control</topic><topic>Disease management</topic><topic>Ecology</topic><topic>Environmental effects</topic><topic>Environmental management</topic><topic>Fungicides</topic><topic>Leaf rust</topic><topic>Leaves</topic><topic>Life Sciences</topic><topic>Monitoring</topic><topic>Pesticides</topic><topic>Plant Pathology</topic><topic>Plant Sciences</topic><topic>Schedules</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Belan, Leônidas Leoni</creatorcontrib><creatorcontrib>de Jesus Junior, Waldir Cintra</creatorcontrib><creatorcontrib>de Souza, Antônio Fernando</creatorcontrib><creatorcontrib>Zambolim, Laércio</creatorcontrib><creatorcontrib>Filho, Joel Cardoso</creatorcontrib><creatorcontrib>Barbosa, Dimmy Herllen Silveira Gomes</creatorcontrib><creatorcontrib>Moraes, Willian Bucker</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 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>Belan, Leônidas Leoni</au><au>de Jesus Junior, Waldir Cintra</au><au>de Souza, Antônio Fernando</au><au>Zambolim, Laércio</au><au>Filho, Joel Cardoso</au><au>Barbosa, Dimmy Herllen Silveira Gomes</au><au>Moraes, Willian Bucker</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Management of coffee leaf rust in Coffea canephora based on disease monitoring reduces fungicide use and management cost</atitle><jtitle>European journal of plant pathology</jtitle><stitle>Eur J Plant Pathol</stitle><date>2020-03-01</date><risdate>2020</risdate><volume>156</volume><issue>3</issue><spage>683</spage><epage>694</epage><pages>683-694</pages><issn>0929-1873</issn><eissn>1573-8469</eissn><abstract>One of the objectives of integrated production (IP) are rationalizing the use of pesticides. For conilon coffee (
Coffea canephora
), a coffee leaf rust (
Hemileia vastatrix
) management system based on IP principles needs to be proposed and validated. Thus, this study aimed to quantify the economic and environmental effects of rust management based on disease monitoring for decision-making regarding fungicide use in conilon coffee (integrated coffee production, ICP-Conilon). The ICP-Conilon system was compared with the conventional rust management system (CS) based on a fixed schedule of fungicide application by delineating two plots of
C. canephora
clonal fields. The incidence of leaf rust in the plants from each clone was quantified monthly and, in the ICP-Conilon plots, systemic fungicide was applied only to the clones/planting rows with monthly disease incidence of ≥5%. The ICP-Conilon system resulted in an average reduction of 71.3% in the fungicide volume applied/ha/year, compared to that in the CS plots. Thus, it was possible to reduce, on average, 21% of the rust management cost in clonal conilon coffee plantations.</abstract><cop>Dordrecht</cop><pub>Springer Netherlands</pub><doi>10.1007/s10658-019-01917-6</doi><tpages>12</tpages></addata></record> |
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| ispartof | European journal of plant pathology, 2020-03, Vol.156 (3), p.683-694 |
| issn | 0929-1873 1573-8469 |
| language | eng |
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| source | SpringerLink Journals - AutoHoldings |
| subjects | Agriculture Biomedical and Life Sciences Coffea canephora Coffee Decision making Disease control Disease management Ecology Environmental effects Environmental management Fungicides Leaf rust Leaves Life Sciences Monitoring Pesticides Plant Pathology Plant Sciences Schedules |
| title | Management of coffee leaf rust in Coffea canephora based on disease monitoring reduces fungicide use and management cost |
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