ArticleFrontiers in plant science2015
Decision tools for bacterial blight resistance gene deployment in rice-based agricultural ecosystems.
Article in Frontiers in plant science, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
8 citing papers in PubMed.
- History of near-isogenic lines carrying genes for resistance to bacterial blight and blast in rice (Oryza sativa L.).The plant genome · 2026Review
- A review on accessible techniques for the management of rice false smut: recent research and future outlook.Planta · 2025Review
- Comparative genomics using long-read sequencing identifies nearly identical TAL effector regions in twoFrontiers in microbiology · 2025Article
- Article
- Genome-Wide Association Study Identifies Resistance Loci for Bacterial Blight in a Collection of Asian TemperateInternational journal of molecular sciences · 2023Article
- A varied AvrXa23-like TALE enables the bacterial blight pathogen to avoid being trapped by Xa23 resistance gene in rice.Journal of advanced research · 2022Article
- Rice pyramided line IRBB67 (Xa4/Xa7) homeostasis under combined stress of high temperature and bacterial blight.Scientific reports · 2020Article
- Diagnostic kit for rice blight resistance.Nature biotechnology · 2019Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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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Registered trials
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