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The following results are related to Canada. Are you interested to view more results? Visit OpenAIRE - Explore.
3 Projects, page 1 of 1

  • Canada
  • European Commission
  • 2018
  • 2023

  • Open Access mandate for Publications and Research data
    Funder: EC Project Code: 825903
    Overall Budget: 6,039,980 EURFunder Contribution: 5,395,290 EUR
    Partners: McGill University, ESC/ SEC, FUNDACIO CENTRE DE REGULACIO GENOMICA, UKE, McMaster University, Lynkeus (Italy), BSC, UB, KUL, NBD...

    euCanSHare will develop the first centralised, secure and sustainable platform for enhanced cross-border data sharing and multi-cohort personalised medicine research in cardiology. At its heart, the platform will contain the most comprehensive cardiovascular data catalogue ever assembled, which will facilitate data discoverability and exploitation in full alignment with the FAIR principles. The project will implement the interoperability of currently fragmented yet mature IT solutions developed by the consortium members for generating a comprehensive multi-functionality platform. It will also integrate major cardiovascular data sources from Europe and Canada, including the renowned MORGAM, BiomarCaRE and CAHHM initiatives. euCanSHare’s legal framework will be built through detailed ethical and legal interoperability analysis, while investigating innovative solutions for promoting responsible Open Science based on the emerging blockchain technology. Initially populated with 35 European and Canadian cohorts (corresponding to about one million records), the platform will provide extensive functionalities, including for data deposition, data harmonisation and quality control, which will support the integration of new cohorts beyond the duration of the project, thus ensuring its scalability. Moreover, sustainability will be targeted by leveraging through our multi-disciplinary partners the most established data infrastructures, namely ELIXIR, EGA, BBMRI and euro-BioImaging in Europe, as well as Maelstrom from Canada. The unique features of the platform will be demonstrated and adjusted through several use cases, including for biomarker validation, knowledge discovery, cardiovascular risk assessment, public health research and industry-driven studies. Furthermore, intensive outreach campaigns and hands-on workshops will be organised to attract a range of stakeholders, data providers and end-users from the academic, public health and industrial sectors.

  • Open Access mandate for Publications and Research data
    Funder: EC Project Code: 772787
    Overall Budget: 7,643,750 EURFunder Contribution: 6,998,910 EUR
    Partners: Teagasc - The Irish Agriculture and Food Development Authority, IDELE (FRENCH LIVESTOCK INSTITUTE), CNR, University of Leon, ARAL, FIBL RESEARCH INSTITUTE OF ORGANIC AGRICULTURE, SERVICE ICAR, AGRICULTURAL LIVESTOCK COOPERATIVE OF WESTERN GREECE, RACES DE FRANCE, ICAR...

    SMARTER will develop and deploy innovative strategies to improve Resilience and Efficiency (R&E) related traits in sheep and goats. SMARTER will find these strategies by: i) generating and validating novel R&E related traits at a phenotypic and genetic level ii) improving and developing new genome-based solutions and tools relevant for the data structure and size of small ruminant populations, iii) establishing new breeding and selection strategies for various breeds and environments that consider R&E traits . SMARTER with help from stakeholders chose several key R&E traits including feed efficiency, health (resistance to disease, survival) and welfare. Experimental populations will be used to identify and dissect new predictors of these R&E traits and the trade-off between animal ability to overcome external challenges. SMARTER will estimate the underlying genetic and genomic variability governing these R&E related traits. This variability will be related to performance in different environments including genotype-by-environment interactions (conventional, agro-ecological and organic systems) in commercial populations. The outcome will be accurate genomic predictions for R&E traits in different environments across different breeds and populations. SMARTER will also create a new cooperative European and international initiative that will use genomic selection across countries. This initiative will make selection for R&E traits faster and more efficient. SMARTER will also characterize the phenotype and genome of traditional and underutilized breeds. Finally, SMARTER will propose new breeding strategies that utilise R&E traits and trade-offs and balance economic, social and environmental challenges. The overall impact of the multi-actor SMARTER project will be ready-to-use effective and efficient tools to make small ruminant production resilient through improved profitability and efficiency.

  • Open Access mandate for Publications
    Funder: EC Project Code: 773902
    Overall Budget: 3,095,900 EURFunder Contribution: 2,991,520 EUR
    Partners: AUA, BIOBEST GROUP NV, UWO, CSIC, University of Freiburg, INRAE, HELLENIC AGRICULTURAL ORGANIZATION - DEMETER, ENDURA, UPCT, BIPA NV...

    Among the most acute challenges that many producers of fruit and vegetable crops currently face are a subset of arthropod pest species - namely aphids, whiteflies, thrips and mites - that are extremely difficult to control (the “super pests”). These issues have been caused, in part, by the over reliance on synthetic insecticides and novel methods of control are urgently required. The SuperPests project aims to meet this need by developing and evaluating a suite of innovative products, tools and concepts, and integrating these with existing approaches in data driven Integrated Pest Management (IPM) programs. These control strategies will ensure the effective and sustainable control of the “super pests”, with substantially reduced use of pesticides. To achieve this SuperPests will develop multiplex and automated sample-to-answer diagnostics (biotypes, infection status and insecticide resistance profile), evaluate biopesticides (green chemistry – plant extracts & metabolites, synergists, RNAi and bio-stimulants), study host plant resistance to pests and compatibility with biological control, select natural enemies better suited to certain crops and IPM, and develop predictive mathematical models, iteratively validated against experimental data, to determine optional combinations for IPM. Successful completion of the deliverables of SuperPests will create opportunities for the commercial exploitation of the new tools and products. The previous experience of the consortium members with a whole range of multi-actor and multidisciplinary approaches and cutting-edge translational technologies, the extensive synergies with parallel large international programs, and the inclusion of appropriate companies places the SuperPests team in a strong position to generate knowledge and create smart tools and practices which ensure pest control while protecting the environment and human health.

Advanced search in
Projects
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Searching FieldsTerms
Any field
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includes
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The following results are related to Canada. Are you interested to view more results? Visit OpenAIRE - Explore.
3 Projects, page 1 of 1
  • Open Access mandate for Publications and Research data
    Funder: EC Project Code: 825903
    Overall Budget: 6,039,980 EURFunder Contribution: 5,395,290 EUR
    Partners: McGill University, ESC/ SEC, FUNDACIO CENTRE DE REGULACIO GENOMICA, UKE, McMaster University, Lynkeus (Italy), BSC, UB, KUL, NBD...

    euCanSHare will develop the first centralised, secure and sustainable platform for enhanced cross-border data sharing and multi-cohort personalised medicine research in cardiology. At its heart, the platform will contain the most comprehensive cardiovascular data catalogue ever assembled, which will facilitate data discoverability and exploitation in full alignment with the FAIR principles. The project will implement the interoperability of currently fragmented yet mature IT solutions developed by the consortium members for generating a comprehensive multi-functionality platform. It will also integrate major cardiovascular data sources from Europe and Canada, including the renowned MORGAM, BiomarCaRE and CAHHM initiatives. euCanSHare’s legal framework will be built through detailed ethical and legal interoperability analysis, while investigating innovative solutions for promoting responsible Open Science based on the emerging blockchain technology. Initially populated with 35 European and Canadian cohorts (corresponding to about one million records), the platform will provide extensive functionalities, including for data deposition, data harmonisation and quality control, which will support the integration of new cohorts beyond the duration of the project, thus ensuring its scalability. Moreover, sustainability will be targeted by leveraging through our multi-disciplinary partners the most established data infrastructures, namely ELIXIR, EGA, BBMRI and euro-BioImaging in Europe, as well as Maelstrom from Canada. The unique features of the platform will be demonstrated and adjusted through several use cases, including for biomarker validation, knowledge discovery, cardiovascular risk assessment, public health research and industry-driven studies. Furthermore, intensive outreach campaigns and hands-on workshops will be organised to attract a range of stakeholders, data providers and end-users from the academic, public health and industrial sectors.

  • Open Access mandate for Publications and Research data
    Funder: EC Project Code: 772787
    Overall Budget: 7,643,750 EURFunder Contribution: 6,998,910 EUR
    Partners: Teagasc - The Irish Agriculture and Food Development Authority, IDELE (FRENCH LIVESTOCK INSTITUTE), CNR, University of Leon, ARAL, FIBL RESEARCH INSTITUTE OF ORGANIC AGRICULTURE, SERVICE ICAR, AGRICULTURAL LIVESTOCK COOPERATIVE OF WESTERN GREECE, RACES DE FRANCE, ICAR...

    SMARTER will develop and deploy innovative strategies to improve Resilience and Efficiency (R&E) related traits in sheep and goats. SMARTER will find these strategies by: i) generating and validating novel R&E related traits at a phenotypic and genetic level ii) improving and developing new genome-based solutions and tools relevant for the data structure and size of small ruminant populations, iii) establishing new breeding and selection strategies for various breeds and environments that consider R&E traits . SMARTER with help from stakeholders chose several key R&E traits including feed efficiency, health (resistance to disease, survival) and welfare. Experimental populations will be used to identify and dissect new predictors of these R&E traits and the trade-off between animal ability to overcome external challenges. SMARTER will estimate the underlying genetic and genomic variability governing these R&E related traits. This variability will be related to performance in different environments including genotype-by-environment interactions (conventional, agro-ecological and organic systems) in commercial populations. The outcome will be accurate genomic predictions for R&E traits in different environments across different breeds and populations. SMARTER will also create a new cooperative European and international initiative that will use genomic selection across countries. This initiative will make selection for R&E traits faster and more efficient. SMARTER will also characterize the phenotype and genome of traditional and underutilized breeds. Finally, SMARTER will propose new breeding strategies that utilise R&E traits and trade-offs and balance economic, social and environmental challenges. The overall impact of the multi-actor SMARTER project will be ready-to-use effective and efficient tools to make small ruminant production resilient through improved profitability and efficiency.

  • Open Access mandate for Publications
    Funder: EC Project Code: 773902
    Overall Budget: 3,095,900 EURFunder Contribution: 2,991,520 EUR
    Partners: AUA, BIOBEST GROUP NV, UWO, CSIC, University of Freiburg, INRAE, HELLENIC AGRICULTURAL ORGANIZATION - DEMETER, ENDURA, UPCT, BIPA NV...

    Among the most acute challenges that many producers of fruit and vegetable crops currently face are a subset of arthropod pest species - namely aphids, whiteflies, thrips and mites - that are extremely difficult to control (the “super pests”). These issues have been caused, in part, by the over reliance on synthetic insecticides and novel methods of control are urgently required. The SuperPests project aims to meet this need by developing and evaluating a suite of innovative products, tools and concepts, and integrating these with existing approaches in data driven Integrated Pest Management (IPM) programs. These control strategies will ensure the effective and sustainable control of the “super pests”, with substantially reduced use of pesticides. To achieve this SuperPests will develop multiplex and automated sample-to-answer diagnostics (biotypes, infection status and insecticide resistance profile), evaluate biopesticides (green chemistry – plant extracts & metabolites, synergists, RNAi and bio-stimulants), study host plant resistance to pests and compatibility with biological control, select natural enemies better suited to certain crops and IPM, and develop predictive mathematical models, iteratively validated against experimental data, to determine optional combinations for IPM. Successful completion of the deliverables of SuperPests will create opportunities for the commercial exploitation of the new tools and products. The previous experience of the consortium members with a whole range of multi-actor and multidisciplinary approaches and cutting-edge translational technologies, the extensive synergies with parallel large international programs, and the inclusion of appropriate companies places the SuperPests team in a strong position to generate knowledge and create smart tools and practices which ensure pest control while protecting the environment and human health.