Next generation variety testing for improved cropping on European farmland
Sector: Raw Materials • Location: United Kingdom, Ireland, Spain, Hungary, Italy, Denmark, Lebanon, Netherlands, Portugal, Czechia
Source: EU Funding & Tenders Portal
InnoVar will develop next generation plant variety testing by building tools and models that augment current practices capitalising on advances in genomics, phenomics, imaging technologies and machine learning. The InnoVar database, populated with historical and de novo genotypic, phenotypic and environmental data will facilitate model development and evaluation for revision of DUS and VCU process
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Participants
Sponsoring Agency | Obfuscated Data |
Company | Obfuscated Data |
Status
Original status | ended |
Taiyo status | Obfuscated Data |
Taiyo last update | 00-00-0000 |
Available timestamps | 00-00-0000 |
Available timestamp type | Obfuscated Data |
Contact
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Address | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Description
Description | InnoVar will develop next generation plant variety testing by building tools and models that augment current practices capitalising on advances in genomics, phenomics, imaging technologies and machine learning. The InnoVar database, populated with historical and de novo genotypic, phenotypic and environmental data will facilitate model development and evaluation for revision of DUS and VCU processes. Innovative ways to measure DUS characters will be evaluated. VCU evaluation procedures will be revised and shaped to comprehensively address variability in growing conditions, stresses and management approaches. Processes for identifying optimally-adapted varieties and delivering information to farmers, end-users and stakeholders will be put in place. This will include the creation of the High Performance Low Risk (HPLR) varieties as a concept and a brand potentially leading to harmonisation of VCU testing across the EU. InnoVar will focus on wheat initially, and apply the InnoVar approach to other major crops. Developments and advances achieved will also influence breeding processes. This project will take variety information to the next level in four ways: (i) providing information on new DUS and VCU characters and identifying synergies; (ii) developing varieties with proven suitability for the various growing scenarios; (iii) making this information available to farmers throughout the EU, and (iv) disseminating the information in readily accessible and easily updated digital formats. Cutting-edge science will be integrated with tried and tested DUS and VCU processes to deliver an invigorated EU variety evaluation system capable of delivering increasingly productive and more sustainable cropping to meet the challenges arising from population growth, food security and climate change. |
Original sub-sector | Obfuscated |
Original Currency | USD |
Original budget | 000000000000000 |
Procurement method | Obfuscated Data |
Budget | 000000000000000 |
Location
Region | Obfuscated |
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Source
Source reliability | High |
Data quality score | 100% |
Source | Obfuscated Data |
URL | obfuscated_data,obfuscateddata.com |
More Details
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