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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2015-05-01
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Online Access: | http://journal.frontiersin.org/Journal/10.3389/fpls.2015.00305/full |
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doaj-fe5e29166ea6454390f5aa9dc8c66e192020-11-24T20:49:04ZengFrontiers Media S.A.Frontiers in Plant Science1664-462X2015-05-01610.3389/fpls.2015.00305139700Decision tools for bacterial blight resistance gene deployment in rice-based agricultural ecosystemsSylvestre Gerbert eDossa0Sylvestre Gerbert eDossa1Adam eSparks2Casiana eVera Cruz3Ricardo eOliva4International Rice Research InstituteLeibniz Universität HannoverInternational Rice Research instituteInternational Rice Research InstituteInternational Rice Research InstituteAttempting 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.http://journal.frontiersin.org/Journal/10.3389/fpls.2015.00305/fullGenome editingTAL effectorsR-genescustomized deploymentforward breeding |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Sylvestre Gerbert eDossa Sylvestre Gerbert eDossa Adam eSparks Casiana eVera Cruz Ricardo eOliva |
spellingShingle |
Sylvestre Gerbert eDossa Sylvestre Gerbert eDossa Adam eSparks Casiana eVera Cruz Ricardo eOliva Decision tools for bacterial blight resistance gene deployment in rice-based agricultural ecosystems Frontiers in Plant Science Genome editing TAL effectors R-genes customized deployment forward breeding |
author_facet |
Sylvestre Gerbert eDossa Sylvestre Gerbert eDossa Adam eSparks Casiana eVera Cruz Ricardo eOliva |
author_sort |
Sylvestre Gerbert eDossa |
title |
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_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_sort |
decision tools for bacterial blight resistance gene deployment in rice-based agricultural ecosystems |
publisher |
Frontiers Media S.A. |
series |
Frontiers in Plant Science |
issn |
1664-462X |
publishDate |
2015-05-01 |
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. |
topic |
Genome editing TAL effectors R-genes customized deployment forward breeding |
url |
http://journal.frontiersin.org/Journal/10.3389/fpls.2015.00305/full |
work_keys_str_mv |
AT sylvestregerbertedossa decisiontoolsforbacterialblightresistancegenedeploymentinricebasedagriculturalecosystems AT sylvestregerbertedossa decisiontoolsforbacterialblightresistancegenedeploymentinricebasedagriculturalecosystems AT adamesparks decisiontoolsforbacterialblightresistancegenedeploymentinricebasedagriculturalecosystems AT casianaeveracruz decisiontoolsforbacterialblightresistancegenedeploymentinricebasedagriculturalecosystems AT ricardoeoliva decisiontoolsforbacterialblightresistancegenedeploymentinricebasedagriculturalecosystems |
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1716806880885473280 |