ReviewPlanta2019
Sheath blight of rice: a review and identification of priorities for future research.
Review in Planta, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 72 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
72 citing papers in PubMed, 1 synthesis or guideline pooled it, 207 citations in OpenAlex.
- Pooled it
- Molecular Characterization of a Novel Mycovirus Isolated from Binucleate Rhizoctonia AG‑Bb strain 8-Q-36.Current microbiology · 2026Article
- Pyramiding QTLs for durable sheath blight resistance in the popular rice variety 'Maudamani'.Scientific reports · 2026Article
- Biological Control of Tomato Root Rot Caused byJournal of fungi (Basel, Switzerland) · 2026Review
- Synthesis ofMolecules (Basel, Switzerland) · 2026Article
- Synergistic effect of composite microbial bioactive metabolites in the control of rice diseases and pest insects under reduced-dosage chemical pesticide application.Frontiers in microbiology · 2026Article
- Genomic insights into sheath blight resistance: leveraging natural variation in the Bengal-Assam-Aus rice panel for multi-season association mapping.Frontiers in plant science · 2026Article
- Essential Oil ofPlants (Basel, Switzerland) · 2025Article
- RING-Type E3 Ligase OsRFPH2-6 Ubiquitinates Nuclear Factor Y Subunit OsNF-YA1 to Suppress Rice Immunity.Molecular plant pathology · 2025Article
- Neural Network-Based Study for Rice Leaf Disease Recognition and Classification: A Comparative Analysis Between Feature-Based Model and Direct Imaging Model.Food science & nutrition · 2025Article
- A Reliable In Planta Inoculation and Antifungal Screening Protocol forBio-protocol · 2025Article
- NtCML19 Is Recruited by Tobacco to Interact With the Deacetylase Protein RsDN3377 of Rhizoctonia solani AG3-TB, Inhibiting Fungal Infection.Molecular plant pathology · 2025Article
- Rice breeding against sheath blight is now feasible: a breakthrough discovery of SBRR1-mediated sheath blight resistance from natural rice germplasm.Stress biology · 2025Article
- TCP19 regulates nitrogen-dependent sheath blight susceptibility by modulating nitrogen uptake and signalling in rice.Plant biotechnology journal · 2025Article
- Natural variation in SBRR1 shows high potential for sheath blight resistance breeding in rice.Nature genetics · 2025Article
- Overexpression ofJournal of fungi (Basel, Switzerland) · 2025Article
- Chromosome-level genome assembly of the Rhizoctonia solani.Scientific data · 2025Article
- Natural mutation in Stay-Green (OsSGR) confers enhanced resistance to rice sheath blight through elevating cytokinin content.Plant biotechnology journal · 2025Article
- Impact of Nutrient Stress on Plant Disease Resistance.International journal of molecular sciences · 2025Review
- Molecular mapping and transfer of sheath blight resistance QTLs from PAU-shb8 to cultivated rice PR-121.Molecular genetics and genomics : MGG · 2025Article
12 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 2 countries.
Funding
Abstract
MAIN
conclusionRice sheath blight research should prioritise optimising biological control approaches, identification of resistance gene mechanisms and application in genetic improvement and smart farming for early disease detection. Rice sheath blight, caused by Rhizoctonia solani AG1-1A, is one of the most devasting diseases of the crop. To move forward with effective crop protection against sheath blight, it is important to review the published information related to pathogenicity and disease management and to determine areas of research that require deeper study. While progress has been made in the identification of pathogenesis-related genes both in rice and in the pathogen, the mechanisms remain unclear. Research related to disease management practices has addressed the use of agronomic practices, chemical control, biological control and genetic improvement: Optimising nitrogen fertiliser use in conjunction with plant spacing can reduce spread of infection while smart agriculture technologies such as crop monitoring with Unmanned Aerial Systems assist in early detection and management of sheath blight disease. Replacing older fungicides with natural fungicides and use of biological agents can provide effective sheath blight control, also minimising environmental impact. Genetic approaches that show promise for the control of sheath blight include treatment with exogenous dsRNA to silence pathogen gene expression, genome editing to develop rice lines with lower susceptibility to sheath blight and development of transgenic rice lines overexpressing or silencing pathogenesis related genes. The main challenges that were identified for effective crop protection against sheath blight are the adaptive flexibility of the pathogen, lack of resistant rice varieties, abscence of single resistance genes for use in breeding and low access of farmers to awareness programmes for optimal management practices.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.