Durable strategies to deploy plant resistance in agricultural landscapes
The deployment of resistant crops often leads to the emergence of resistance-breaking pathogens that suppress the yield benefit provided by the resistance. Here, we theoretically explored how farmers' main leverages (resistant cultivar choice, resistance deployment strategy, landscape planning...
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| Veröffentlicht in: | The New phytologist 2012-03, Vol.193 (4), p.1064-1075 |
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| creator | Fabre, Frédéric Rousseau, Elsa Mailleret, Ludovic Moury, Benoit |
| description | The deployment of resistant crops often leads to the emergence of resistance-breaking pathogens that suppress the yield benefit provided by the resistance. Here, we theoretically explored how farmers' main leverages (resistant cultivar choice, resistance deployment strategy, landscape planning and cultural practices) can be best combined to achieve resistance durability while minimizing yield losses as a result of plant viruses.
Assuming a gene-for-gene type of interaction, virus epidemics are modelled in a landscape composed of a mosaic of resistant and susceptible fields, subjected to seasonality, and a reservoir hosting viruses year-round. The model links the genetic and the epidemiological processes, shaping at nested scales the demogenetic dynamics of viruses.
The choice of the resistance gene (characterized by the equilibrium frequency of the resistance-breaking virus at mutation-selection balance in a susceptible plant) is the most influential leverage of action. Our results showed that optimal strategies of resistance deployment range from ‘mixture’ (where susceptible and resistant cultivars coexist) to ‘pure’ strategies (with only resistant cultivar) depending on the resistance characteristics and the epidemiological context (epidemic incidence and landscape connectivity).
We demonstrate and discuss gaps concerning virus epidemiology across the agro-ecological interface that must be filled to achieve sustainable disease management. |
| doi_str_mv | 10.1111/j.1469-8137.2011.04019.x |
| format | Article |
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Assuming a gene-for-gene type of interaction, virus epidemics are modelled in a landscape composed of a mosaic of resistant and susceptible fields, subjected to seasonality, and a reservoir hosting viruses year-round. The model links the genetic and the epidemiological processes, shaping at nested scales the demogenetic dynamics of viruses.
The choice of the resistance gene (characterized by the equilibrium frequency of the resistance-breaking virus at mutation-selection balance in a susceptible plant) is the most influential leverage of action. Our results showed that optimal strategies of resistance deployment range from ‘mixture’ (where susceptible and resistant cultivars coexist) to ‘pure’ strategies (with only resistant cultivar) depending on the resistance characteristics and the epidemiological context (epidemic incidence and landscape connectivity).
We demonstrate and discuss gaps concerning virus epidemiology across the agro-ecological interface that must be filled to achieve sustainable disease management.</description><identifier>ISSN: 0028-646X</identifier><identifier>EISSN: 1469-8137</identifier><identifier>DOI: 10.1111/j.1469-8137.2011.04019.x</identifier><identifier>PMID: 22260272</identifier><language>eng</language><publisher>Oxford, UK: New Phytologist Trust</publisher><subject>Agricultural land ; Agriculture - methods ; Automatic Control Engineering ; Computer Science ; Crops, Agricultural - virology ; Cultivars ; Deployment ; deployment strategy ; Disease models ; Disease reservoirs ; Disease resistance ; Disease Resistance - genetics ; Durability ; durable resistance ; Engineering Sciences ; Epidemics ; Epidemiology ; evolutionary epidemiology ; General Mathematics ; Genetic mutation ; gene‐for‐gene model ; Infections ; Landscape ; Landscape architecture ; landscape epidemiology ; Life Sciences ; Mathematical models ; Mathematics ; Model testing ; Models, Biological ; Mutation ; Pathogens ; Phytopathology ; Plant resistance ; Plant viruses ; Plant Viruses - pathogenicity ; Plants ; Seasonal variations ; Seasonality ; Viral Load ; Viruses ; Yields</subject><ispartof>The New phytologist, 2012-03, Vol.193 (4), p.1064-1075</ispartof><rights>2012 New Phytologist Trust</rights><rights>2012 INRA. New Phytologist © 2012 New Phytologist Trust</rights><rights>2012 INRA. New Phytologist © 2012 New Phytologist Trust.</rights><rights>Copyright Wiley Subscription Services, Inc. Mar 2012</rights><rights>Attribution</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c5199-5be2ac4985252537e5c2cd6ee3c395fc9a021ca9c15080856ac7b2be539b8c383</citedby><cites>FETCH-LOGICAL-c5199-5be2ac4985252537e5c2cd6ee3c395fc9a021ca9c15080856ac7b2be539b8c383</cites><orcidid>0000-0003-3081-1034 ; 0000-0001-7019-8401 ; 0000-0001-8271-7678</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.jstor.org/stable/pdf/newphytologist.193.4.1064$$EPDF$$P50$$Gjstor$$H</linktopdf><linktohtml>$$Uhttps://www.jstor.org/stable/newphytologist.193.4.1064$$EHTML$$P50$$Gjstor$$H</linktohtml><link.rule.ids>230,314,780,784,803,885,1416,1432,27923,27924,45573,45574,46408,46832,58016,58249</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/22260272$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://inria.hal.science/hal-00848412$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Fabre, Frédéric</creatorcontrib><creatorcontrib>Rousseau, Elsa</creatorcontrib><creatorcontrib>Mailleret, Ludovic</creatorcontrib><creatorcontrib>Moury, Benoit</creatorcontrib><title>Durable strategies to deploy plant resistance in agricultural landscapes</title><title>The New phytologist</title><addtitle>New Phytol</addtitle><description>The deployment of resistant crops often leads to the emergence of resistance-breaking pathogens that suppress the yield benefit provided by the resistance. Here, we theoretically explored how farmers' main leverages (resistant cultivar choice, resistance deployment strategy, landscape planning and cultural practices) can be best combined to achieve resistance durability while minimizing yield losses as a result of plant viruses.
Assuming a gene-for-gene type of interaction, virus epidemics are modelled in a landscape composed of a mosaic of resistant and susceptible fields, subjected to seasonality, and a reservoir hosting viruses year-round. The model links the genetic and the epidemiological processes, shaping at nested scales the demogenetic dynamics of viruses.
The choice of the resistance gene (characterized by the equilibrium frequency of the resistance-breaking virus at mutation-selection balance in a susceptible plant) is the most influential leverage of action. Our results showed that optimal strategies of resistance deployment range from ‘mixture’ (where susceptible and resistant cultivars coexist) to ‘pure’ strategies (with only resistant cultivar) depending on the resistance characteristics and the epidemiological context (epidemic incidence and landscape connectivity).
We demonstrate and discuss gaps concerning virus epidemiology across the agro-ecological interface that must be filled to achieve sustainable disease management.</description><subject>Agricultural land</subject><subject>Agriculture - methods</subject><subject>Automatic Control Engineering</subject><subject>Computer Science</subject><subject>Crops, Agricultural - virology</subject><subject>Cultivars</subject><subject>Deployment</subject><subject>deployment strategy</subject><subject>Disease models</subject><subject>Disease reservoirs</subject><subject>Disease resistance</subject><subject>Disease Resistance - genetics</subject><subject>Durability</subject><subject>durable resistance</subject><subject>Engineering Sciences</subject><subject>Epidemics</subject><subject>Epidemiology</subject><subject>evolutionary epidemiology</subject><subject>General Mathematics</subject><subject>Genetic mutation</subject><subject>gene‐for‐gene model</subject><subject>Infections</subject><subject>Landscape</subject><subject>Landscape architecture</subject><subject>landscape epidemiology</subject><subject>Life Sciences</subject><subject>Mathematical models</subject><subject>Mathematics</subject><subject>Model testing</subject><subject>Models, Biological</subject><subject>Mutation</subject><subject>Pathogens</subject><subject>Phytopathology</subject><subject>Plant resistance</subject><subject>Plant viruses</subject><subject>Plant Viruses - pathogenicity</subject><subject>Plants</subject><subject>Seasonal variations</subject><subject>Seasonality</subject><subject>Viral Load</subject><subject>Viruses</subject><subject>Yields</subject><issn>0028-646X</issn><issn>1469-8137</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqNkUuP0zAUhS0EYsrAX0CWWCAWCX7XXrAYDY8iVcACJHaW4952ErlxsJOZ6b_HIUMXrLAXtny_c3ztgxCmpKZlvO1qKpSpNOXrmhFKayIINfX9I7Q6Fx6jFSFMV0qonxfoWc4dIcRIxZ6iC8aYImzNVmjzfkquCYDzmNwIhxYyHiPewRDiCQ_B9SNOkNs8ut4DbnvsDqn1UxiLLuBS32XvBsjP0ZO9CxlePKyX6MfHD9-vN9X266fP11fbyktqTCUbYM4LoyUrk69BeuZ3CoB7buTeG0cY9c54KokmWirn1w1rQHLTaM81v0RvFt8bF-yQ2qNLJxtdazdXWzufEaKFFpTd0sK-XtghxV8T5NEe2-whlK4hTtma0pHkRLJCvvqH7OKU-vIQyyTlgiilZj-9UD7FnBPszw1QYudgbGfn_7fz_9s5GPsnGHtfpC8fLpiaI-zOwr9JFODdAty1AU7_bWy_fNvMu6KvF32Xx5jO-h7uhpvTGEM8lAxtAa0opkrw38Diq1M</recordid><startdate>201203</startdate><enddate>201203</enddate><creator>Fabre, Frédéric</creator><creator>Rousseau, Elsa</creator><creator>Mailleret, Ludovic</creator><creator>Moury, Benoit</creator><general>New Phytologist Trust</general><general>Blackwell Publishing Ltd</general><general>Wiley Subscription Services, Inc</general><general>Wiley</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QO</scope><scope>7SN</scope><scope>8FD</scope><scope>C1K</scope><scope>F1W</scope><scope>FR3</scope><scope>H95</scope><scope>L.G</scope><scope>M7N</scope><scope>P64</scope><scope>RC3</scope><scope>7X8</scope><scope>1XC</scope><scope>VOOES</scope><orcidid>https://orcid.org/0000-0003-3081-1034</orcidid><orcidid>https://orcid.org/0000-0001-7019-8401</orcidid><orcidid>https://orcid.org/0000-0001-8271-7678</orcidid></search><sort><creationdate>201203</creationdate><title>Durable strategies to deploy plant resistance in agricultural landscapes</title><author>Fabre, Frédéric ; 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Here, we theoretically explored how farmers' main leverages (resistant cultivar choice, resistance deployment strategy, landscape planning and cultural practices) can be best combined to achieve resistance durability while minimizing yield losses as a result of plant viruses.
Assuming a gene-for-gene type of interaction, virus epidemics are modelled in a landscape composed of a mosaic of resistant and susceptible fields, subjected to seasonality, and a reservoir hosting viruses year-round. The model links the genetic and the epidemiological processes, shaping at nested scales the demogenetic dynamics of viruses.
The choice of the resistance gene (characterized by the equilibrium frequency of the resistance-breaking virus at mutation-selection balance in a susceptible plant) is the most influential leverage of action. Our results showed that optimal strategies of resistance deployment range from ‘mixture’ (where susceptible and resistant cultivars coexist) to ‘pure’ strategies (with only resistant cultivar) depending on the resistance characteristics and the epidemiological context (epidemic incidence and landscape connectivity).
We demonstrate and discuss gaps concerning virus epidemiology across the agro-ecological interface that must be filled to achieve sustainable disease management.</abstract><cop>Oxford, UK</cop><pub>New Phytologist Trust</pub><pmid>22260272</pmid><doi>10.1111/j.1469-8137.2011.04019.x</doi><tpages>12</tpages><orcidid>https://orcid.org/0000-0003-3081-1034</orcidid><orcidid>https://orcid.org/0000-0001-7019-8401</orcidid><orcidid>https://orcid.org/0000-0001-8271-7678</orcidid><oa>free_for_read</oa></addata></record> |
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| subjects | Agricultural land Agriculture - methods Automatic Control Engineering Computer Science Crops, Agricultural - virology Cultivars Deployment deployment strategy Disease models Disease reservoirs Disease resistance Disease Resistance - genetics Durability durable resistance Engineering Sciences Epidemics Epidemiology evolutionary epidemiology General Mathematics Genetic mutation gene‐for‐gene model Infections Landscape Landscape architecture landscape epidemiology Life Sciences Mathematical models Mathematics Model testing Models, Biological Mutation Pathogens Phytopathology Plant resistance Plant viruses Plant Viruses - pathogenicity Plants Seasonal variations Seasonality Viral Load Viruses Yields |
| title | Durable strategies to deploy plant resistance in agricultural landscapes |
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