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JAAS

Jiangsu Academy of Agricultural Sciences
Country: China (People's Republic of)
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5 Projects, page 1 of 1
  • Funder: European Commission Project Code: 727312
    Overall Budget: 7,788,190 EURFunder Contribution: 5,000,000 EUR

    EUCLEG aims to reduce Europe and China’s dependency on protein imports by developing efficient breeding strategies for the legume crops of major economic importance in human food and animal feed. The objective is to improve diversification, crop productivity, yield stability and protein quality of both forage (alfalfa and red clover) and grain (pea, faba bean and soybean) legumes. Using diverse and extensive genetic resources and taking advantage of advanced molecular tools, EUCLEG aims to identify and develop the best genetic resources, phenotyping methods and molecular tools to breed legume varieties with improved performance under biotic and abiotic stresses in the representative European and Chinese agro-ecological areas. The potential for new uses of forage species for human nutrition will be explored. Searchable databases will be developed or built to host passport, agronomic and genetic data facilitating exchanges and use of genetic resources. The evaluation of genetic resources in multi-site trials will allow to broaden the breeding material and extend agro-ecological adaptation. The genetic architecture of key breeding traits will be analysed using association studies in order to identify molecular markers related to phenotypic traits. Finally, genomic selection strategies will be assessed for their potential to improve genetic progress. Practical tools for genotyping, data management and calculation will be provided to breeders to implement marker-assisted selection and genomic selection leading to the creation of new varieties in the long-term. The partnership gathered in EUCLEG, combining public institutes and private companies of Europe and China, guaranties the transfer of knowledge from research to seed industry.

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  • Funder: European Commission Project Code: 861917
    Overall Budget: 6,752,840 EURFunder Contribution: 3,999,860 EUR

    SAFFI targets food for EU’s 15 million and China’s 45 million children under the age of three. It aims at developing an integrated approach to enhance the identification, assessment, detection and mitigation of safety risks raised by microbial and chemical hazards all along EU and China infant food chains. SAFFI will benchmark the main safety risks through an extensive hazard identification system based on multiple data sources and a risk ranking procedure. It will also develop procedures to enhance top-down and bottom-up hazard control by combining management options with a panel of technologies for the detection and mitigation of priority hazards. SAFFI will discover unexpected contaminants by predictive toxicology and improve risk-based food safety management of biohazards by omics and predictive microbiology. SAFFI will co-develop with and deliver to stakeholders a decision-support system (DSS) to enhance safety control all along the food chain. This DSS will integrate the databases, procedures and methods described above and will be a framework for a generic DSS dedicated to other food. This overall methodology will be implemented in two complementary European and Chinese mirror projects and exemplified for each, with four case studies that were selected to cover priority hazards, main ingredients, processes and control steps of the infant food chain. Resulting databases, tools and procedures will be shared, cross-validated, concatenated, benchmarked and finally harmonized for further use in the EU and China. SAFFI will also set up training and knowledge transfer activities to foster EU-China harmonization of good practices, regulations, standards and technologies, and will cluster with other projects under the EU-China FAB Flagship initiative for continuous upgrade of food safety control. This EU-China multi-actor consortium of 20 partners involves academia, food safety authorities, infant food companies, paediatrics and technological and data-science SMEs.

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  • Funder: French National Research Agency (ANR) Project Code: ANR-21-AAMR-0006
    Funder Contribution: 242,592 EUR
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  • Funder: European Commission Project Code: 678781
    Overall Budget: 6,384,520 EURFunder Contribution: 4,953,160 EUR

    MycoKey aims to generate innovative and integrated solutions that will support stakeholders in effective and sustainable mycotoxin management along food and feed chains. The project will contribute to reduce mycotoxin contamination mainly in Europe and China, where frequent and severe mycotoxin contaminations occur in crops, and where international trade of commodities and contaminated batches are increasing. MycoKey will address the major affected crops maize, wheat and barley, their associated toxigenic fungi and related mycotoxins (aflatoxins, deoxynivalenol, zearalenone, ochratoxin A, fumonisins). The project will integrate key information and practical solutions for mycotoxin management into a smart ICT tool (MycoKey App), providing answers to stakeholders, who require rapid, customized forecasting, descriptive information on contamination risk/levels, decision support and practical economically-sound suggestions for intervention. Tools and methodologies will be strategically targeted for cost-effective application in the field and during storage, processing and transportation. Alternative and safe ways to use contaminated batches will be also delivered. The focus of Mycokey will be: i) innovating communications of mycotoxin management by applying ICT, providing input for legislation, enhancing knowledge and networks; ii) selecting and improving a range of tools for mycotoxin monitoring; iii) assessing the use of reliable solutions, sustainable compounds/green technologies in prevention, intervention and remediation. The multi-disciplinary consortium, composed by scientific, industrial and association partners (32), includes 11 Chinese institutions and will conduct the 4 years programme in a framework of international networks.

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  • Funder: European Commission Project Code: 270351
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