Work

Mapping Disease Variants and Assessing Risk to Rice Production: Geospatial Analysis of RYMV

Year: 2025

Type: report

Abstract: his work marks substantial progress toward broader innovation goals in plant health surveillance and management. By generating detailed maps of RYMV variant distribution, integrating genetic profiles into regional databases, and visualizing hotspots, the study lays the groundwork for advanced, data-driven early warning systems. These efforts directly support the development of real-time surveillance platforms, inform the design of rapid diagnostic tools, and guide targeted interventions, bringing Africa’s rice sector closer to resilient, coordinated, and proactive management of RYMV disease threats.

Source: CGSPace A Repository of Agricultural Research Outputs (Consultative Group for International Agricultural Research)

Authors: Ndikumana, I., Onaga, G., Pinel-Galzi, A., Rocu, P., Hubert, J., Wéré, H.K., Adego, A., Wéré, M.N., Poulicard, N., Hebrard, M., Dellicour, S.

Language: English

Topic: Plant Virus Research Studies

Subfield: Plant Science

Field: Agricultural and Biological Sciences

Domain: Life Sciences

SDGs: Zero hunger, Good health and well-being

Open Access status: green

OpenAlex ID: W7200765689

Cites:

Cited by:

Related to: 10