Objective
"Potato breeding is a 10-year process that involves combining over 40 characteristics to produce varieties that have improved sustainability, utilisation and consumer characteristics. Genomic and marker assisted selection (GS and MAS) can make breeding faster/more efficient, increasing the rate of genetic gain and the ability to combine multiple traits. Strategies for GS to date have tended to employ many thousands of markers; however, the economic burden of deploying such approaches on thousands of plants annually in a breeding programme may restrict the adoption of GS. The objective of this action is to develop a novel, low cost, genome-scanning marker platform for use in simultaneous GS and MAS for multiple traits in potato breeding, by combining existing knowledge on the patterns of linkage disequilibrium in potato with recent advances in genotyping-by-sequencing approaches based on massively multiplex PCR. The marker system will target clusters of SNPs whose aggregate profile over distances covered by paired-end next generation sequencing (NGS) reads will allow them to be used as haplotags. Unlike bi-allelic SNPs, haplotags can discriminate multiple allelic variants in tetraploid potato. Approximately 400 loci at placed at 1Mb spacing throughout the euchromatic portion of the genome, and a further 100 SNPs linked to specific traits, will be targeted and assayed using an approach called GT-Seq, which uses combinatorial barcoding to allow multiplexing of thousands of samples in a single NGS run. The sequencing platform will be utilised in conjunction with 2 training populations to develop genomic prediction equations for yield and fry colour of potato. Subsequently, it will be deployed for combined GS and MAS on 1000 plants from the second field generation of a commercial potato breeding programme. The research and training activities in the fellowship proposal will equip a young postdoctoral researcher with the skills of a ""next generation plant breeder"".
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Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- engineering and technology materials engineering colors
- natural sciences biological sciences genetics genomes
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions
MAIN PROGRAMME
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H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
MSCA-IF-EF-ST - Standard EF
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) H2020-MSCA-IF-2017
See all projects funded under this callCoordinator
Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
R93 Carlow
Ireland
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.