Climate-smart agriculture practices influence weed density and diversity in cereal-based agri-food systems of western Indo-Gangetic plains
Abiotic stress tolerance: Progress and pathways of sustainable rice production
Phytosanitary interventions for safe global germplasm exchange and the prevention of transboundary pest spread: The role of CGIAR germplasm health units
Insights into natural genetic resistance to rice yellow mottle virus and implications on breeding for durable resistance
Guide to supporting agricultural NDC implementation: GHG mitigation in rice production in Vietnam
Integrated strategies for durable rice blast resistance in sub-Saharan Africa
Climate-smart agriculture (CSA)-based management practices are evolving as a viable and sustainable alternative to conventional rice-wheat cropping systems across south Asia for better resources conservation and yield stability. We hypothesized that CSA management scenarios (layering of different indicators/practices)...
The efforts of GHUs in thoroughly testing germplasm accessions for known pests, before their release for international transfer, have averted the inadvertent spread of quarantine pests. This is of great significance, as most CGIAR centers operate in countries where some of the most dreaded pests are prevalent (e.g., cassava brown streak virus, Karnal bunt, maize lethal necrosis, rice blight, and...
The purpose of this document is to serve as a guide for research to support national partners to plan, finance, and implement the agricultural Nationally Determined Contributions. This is a summary of the collaborative and evolving process initiated by the partnership between the International Rice Research Institute and the Ministry of Agriculture and Rural Development of Vietnam. ...
Many believe that the rice-producing sector of Sri Lanka requires urgent transformation. The adoption of emerging technological innovations has the potential to overcome the structural weaknesses of the current rice industry and deliver a more productive, competitive, and sustainable outcome, using a more precise and resource-efficient approach. ...
In this study, we used radial kernel support vector machine (SVM) to map the crop types of smallholder farms in two sites in eastern India. We focused on using SVM because previous studies have suggested that it produces higher classification accuracies compared to other commonly used algorithms, including random forest, for supervised pixel-based classifications. We specifically focused on mapping...
