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Decision tools for bacterial blight resistance gene deployment in rice-based agricultural ecosystems

Attempting to achieve long-lasting and stable resistance using uniformly deployed rice varieties is not a sustainable approach. The real situation appears to be much more complex and dynamic, one in which pathogens quickly adapt to resistant varieties. To prevent disease epidemics, deployment should...

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Detalles Bibliográficos
Autores principales: Dossa, Gerbert S., Sparks, Adam, Cruz, Casiana Vera, Oliva, Ricardo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4419666/
https://www.ncbi.nlm.nih.gov/pubmed/25999970
http://dx.doi.org/10.3389/fpls.2015.00305
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author Dossa, Gerbert S.
Sparks, Adam
Cruz, Casiana Vera
Oliva, Ricardo
author_facet Dossa, Gerbert S.
Sparks, Adam
Cruz, Casiana Vera
Oliva, Ricardo
author_sort Dossa, Gerbert S.
collection PubMed
description Attempting to achieve long-lasting and stable resistance using uniformly deployed rice varieties is not a sustainable approach. The real situation appears to be much more complex and dynamic, one in which pathogens quickly adapt to resistant varieties. To prevent disease epidemics, deployment should be customized and this decision will require interdisciplinary actions. This perspective article aims to highlight the current progress on disease resistance deployment to control bacterial blight in rice. Although the model system rice-Xanthomonas oryzae pv. oryzae has distinctive features that underpin the need for a case-by-case analysis, strategies to integrate those elements into a unique decision tool could be easily extended to other crops.
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spelling pubmed-44196662015-05-21 Decision tools for bacterial blight resistance gene deployment in rice-based agricultural ecosystems Dossa, Gerbert S. Sparks, Adam Cruz, Casiana Vera Oliva, Ricardo Front Plant Sci Plant Science Attempting to achieve long-lasting and stable resistance using uniformly deployed rice varieties is not a sustainable approach. The real situation appears to be much more complex and dynamic, one in which pathogens quickly adapt to resistant varieties. To prevent disease epidemics, deployment should be customized and this decision will require interdisciplinary actions. This perspective article aims to highlight the current progress on disease resistance deployment to control bacterial blight in rice. Although the model system rice-Xanthomonas oryzae pv. oryzae has distinctive features that underpin the need for a case-by-case analysis, strategies to integrate those elements into a unique decision tool could be easily extended to other crops. Frontiers Media S.A. 2015-05-05 /pmc/articles/PMC4419666/ /pubmed/25999970 http://dx.doi.org/10.3389/fpls.2015.00305 Text en Copyright © 2015 Dossa, Sparks, Vera Cruz and Oliva. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Plant Science
Dossa, Gerbert S.
Sparks, Adam
Cruz, Casiana Vera
Oliva, Ricardo
Decision tools for bacterial blight resistance gene deployment in rice-based agricultural ecosystems
title Decision tools for bacterial blight resistance gene deployment in rice-based agricultural ecosystems
title_full Decision tools for bacterial blight resistance gene deployment in rice-based agricultural ecosystems
title_fullStr Decision tools for bacterial blight resistance gene deployment in rice-based agricultural ecosystems
title_full_unstemmed Decision tools for bacterial blight resistance gene deployment in rice-based agricultural ecosystems
title_short Decision tools for bacterial blight resistance gene deployment in rice-based agricultural ecosystems
title_sort decision tools for bacterial blight resistance gene deployment in rice-based agricultural ecosystems
topic Plant Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4419666/
https://www.ncbi.nlm.nih.gov/pubmed/25999970
http://dx.doi.org/10.3389/fpls.2015.00305
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