Innovating Works
SFS-13-2020
SFS-13-2020: Genome and epigenome enabled breeding in terrestrial livestock
Specific Challenge:Genetics is currently one of the important levers for efficient livestock production, not only to increase performance and productivity, but also to ensure resilience and to reduce resource use and environmental impact, to ensure health and welfare of the animals, while maintaining or improving longevity of animals and product quality. Understanding of the biological mechanisms underpinning traits, including epigenetic responses to the environment and non-genetic inheritance, remains relatively limited and underexploited, notably when several complex traits need to be targeted simultaneously, while avoiding or reducing trade-offs. In addition, improving livestock breeding programmes in both cosmopolitan and local breeds requires an optimal level of genetic diversity that needs to be measured and exploited. There is a need also for new knowledge and tools to open up new prospects for the measurement, conservation and exploitation of genetic diversity in farm animal species, for optimal genetic diversity in farm animal breeding programmes in both cosmopolitan and local breeds and to inform and develop strategies to provide for cost-effective in vivo conservation of endangered genetic resources.
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Europeo
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Specific Challenge:Genetics is currently one of the important levers for efficient livestock production, not only to increase performance and productivity, but also to ensure resilience and to reduce resource use and environmental impact, to ensure health and welfare of the animals, while maintaining or improving longevity of animals and product quality. Understanding of the biological mechanisms underpinning traits, including epigenetic responses to the environment and non-genetic inheritance, remains relatively limited and underexploited, notably when several complex traits need to be targeted simultaneously, while avoiding or reducing trade-offs. In addition, improving livestock breeding programmes in both cosmopolitan and local breeds requires an optimal level of genetic diversity that needs to be measured and exploited. There is a need also for new knowledge and tools to open up new prospects for the measurement, conservation and exploitation of genetic diversity in farm animal species, for optimal genetic diversity in farm animal breeding programmes in both cosmopolitan and local breeds and to inform and develop strategies to provide for cost-effective in vivo conservation of... ver más

Specific Challenge:Genetics is currently one of the important levers for efficient livestock production, not only to increase performance and productivity, but also to ensure resilience and to reduce resource use and environmental impact, to ensure health and welfare of the animals, while maintaining or improving longevity of animals and product quality. Understanding of the biological mechanisms underpinning traits, including epigenetic responses to the environment and non-genetic inheritance, remains relatively limited and underexploited, notably when several complex traits need to be targeted simultaneously, while avoiding or reducing trade-offs. In addition, improving livestock breeding programmes in both cosmopolitan and local breeds requires an optimal level of genetic diversity that needs to be measured and exploited. There is a need also for new knowledge and tools to open up new prospects for the measurement, conservation and exploitation of genetic diversity in farm animal species, for optimal genetic diversity in farm animal breeding programmes in both cosmopolitan and local breeds and to inform and develop strategies to provide for cost-effective in vivo conservation of endangered genetic resources.


Scope:The selected projects will assist in the exploitation of existing knowledge on the genome sequence and its regulation and expression. They will do so by providing (i) analysis of the genome and the epigenome in relation to combinations of traits (including intermediate and/or indicators) important for efficient terrestrial livestock production and (ii) tools to improve breeding schemes, both for cosmopolitan and local breeds of terrestrial livestock, striving to ensure optimal genetic and epigenetic diversity, at least within breeds. The projects will encompass development of methods, tools and models to assist both industry and policy makers as well as to respond to social challenges. Proposals should fall under the concept of 'multi-actor approach'[1], involving representatives of breeders, biodiversity conservation and other relevant professionals from animal production, the food chain and decision-makers, as appropriate.

The activities may address:

Study of the genetic relationship between animal performance traits to tackle some potential trade-offs between different phenotypes of interest that may alter long-term selection strategies to improve lifetime efficiency. Assessment of the relevance of (i) epigenetic mechanisms as a potential source of phenotypic variance unaccounted by genomic selection, and (ii) improving genomic prediction models with better integration of environmental and non-genetic inheritance factors.Development of (i) appropriate deep phenotype indicators and their genomic and epigenomic determination that reflect different ways of improving resource-use efficiency, health, welfare, quality and resilience of terrestrial livestock and (ii) multi-trait genomic and epigenomic prediction models that can efficiently utilize these indicators.Assessment of the potential, including benefits and risks, of both (i) genome editing for cross-species and/or inter-breed transmission of specific traits without affecting other selected characteristics or specificities and (ii) targeted epigenome editing for improved animal welfare and/or product quality.Study of the opportunity and feasibility of integration of genome editing in genomic selection (specifics and comparison with introgression: theoretical and practical applications).Development of refined genomic and epigenomic strategies for management of biodiversity. The projects are encouraged to interact as appropriate with relevant Horizon 2020 projects.

The Commission considers that proposals requesting a contribution from the EU of up to EUR 7 million would allow this specific challenge to be addressed appropriately. Nonetheless, this does not preclude submission and selection of proposals requesting other amounts.


Expected Impact:Methods for biology-driven selection of livestock with more balanced performances for production, robustness, and/or quality, taking into account environmental variability.Set of phenotypes as well as the molecular tools available to farmers and farm advisers to assess and simultaneously drive animal traits related to efficiency, for a long-time evaluation of breeding strategies.Set of options for conservation of genetic diversity among and within breeds.More generally, the projects will contribute to the diversity and sustainability of livestock production.
[1]See definition of the 'multi-actor approach' in the introduction to this Work Programme part.

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Temáticas Obligatorias del proyecto: Temática principal:

Características del consorcio

Ámbito Europeo : La ayuda es de ámbito europeo, puede aplicar a esta linea cualquier empresa que forme parte de la Comunidad Europea.
Tipo y tamaño de organizaciones: El diseño de consorcio necesario para la tramitación de esta ayuda necesita de:

Características del Proyecto

Requisitos de diseño: Duración:
Requisitos técnicos: Specific Challenge:Genetics is currently one of the important levers for efficient livestock production, not only to increase performance and productivity, but also to ensure resilience and to reduce resource use and environmental impact, to ensure health and welfare of the animals, while maintaining or improving longevity of animals and product quality. Understanding of the biological mechanisms underpinning traits, including epigenetic responses to the environment and non-genetic inheritance, remains relatively limited and underexploited, notably when several complex traits need to be targeted simultaneously, while avoiding or reducing trade-offs. In addition, improving livestock breeding programmes in both cosmopolitan and local breeds requires an optimal level of genetic diversity that needs to be measured and exploited. There is a need also for new knowledge and tools to open up new prospects for the measurement, conservation and exploitation of genetic diversity in farm animal species, for optimal genetic diversity in farm animal breeding programmes in both cosmopolitan and local breeds and to inform and develop strategies to provide for cost-effective in vivo conservation of endangered genetic resources. Specific Challenge:Genetics is currently one of the important levers for efficient livestock production, not only to increase performance and productivity, but also to ensure resilience and to reduce resource use and environmental impact, to ensure health and welfare of the animals, while maintaining or improving longevity of animals and product quality. Understanding of the biological mechanisms underpinning traits, including epigenetic responses to the environment and non-genetic inheritance, remains relatively limited and underexploited, notably when several complex traits need to be targeted simultaneously, while avoiding or reducing trade-offs. In addition, improving livestock breeding programmes in both cosmopolitan and local breeds requires an optimal level of genetic diversity that needs to be measured and exploited. There is a need also for new knowledge and tools to open up new prospects for the measurement, conservation and exploitation of genetic diversity in farm animal species, for optimal genetic diversity in farm animal breeding programmes in both cosmopolitan and local breeds and to inform and develop strategies to provide for cost-effective in vivo conservation of endangered genetic resources.
¿Quieres ejemplos? Puedes consultar aquí los últimos proyectos conocidos financiados por esta línea, sus tecnologías, sus presupuestos y sus compañías.
Capítulos financiables: Los capítulos de gastos financiables para esta línea son:
Personnel costs.
Los costes de personal subvencionables cubren las horas de trabajo efectivo de las personas directamente dedicadas a la ejecución de la acción. Los propietarios de pequeñas y medianas empresas que no perciban salario y otras personas físicas que no perciban salario podrán imputar los costes de personal sobre la base de una escala de costes unitarios
Purchase costs.
Los otros costes directos se dividen en los siguientes apartados: Viajes, amortizaciones, equipamiento y otros bienes y servicios. Se financia la amortización de equipos, permitiendo incluir la amortización de equipos adquiridos antes del proyecto si se registra durante su ejecución. En el apartado de otros bienes y servicios se incluyen los diferentes bienes y servicios comprados por los beneficiarios a proveedores externos para poder llevar a cabo sus tareas
Subcontracting costs.
La subcontratación en ayudas europeas no debe tratarse del core de actividades de I+D del proyecto. El contratista debe ser seleccionado por el beneficiario de acuerdo con el principio de mejor relación calidad-precio bajo las condiciones de transparencia e igualdad (en ningún caso consistirá en solicitar menos de 3 ofertas). En el caso de entidades públicas, para la subcontratación se deberán de seguir las leyes que rijan en el país al que pertenezca el contratante
Amortizaciones.
Activos.
Otros Gastos.
Madurez tecnológica: La tramitación de esta ayuda requiere de un nivel tecnológico mínimo en el proyecto de TRL 5:. Los elementos básicos de la innovación son integrados de manera que la configuración final es similar a su aplicación final, es decir que está listo para ser usado en la simulación de un entorno real. Se mejoran los modelos tanto técnicos como económicos del diseño inicial, se ha identificado adicionalmente aspectos de seguridad, limitaciones ambiéntales y/o regulatorios entre otros. + info.
TRL esperado:

Características de la financiación

Intensidad de la ayuda: Sólo fondo perdido + info
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1. Eligible countries: described in Annex A of the Work Programme.
A number of non-EU/non-Associated Countries that are not automatically eligible for funding have made specific provisions for making funding available for their participants in Horizon 2020 projects. See the information in the Online Manual.
 
2. Eligibility and admissibility conditions: described in Annex B and Annex C of the Work Programme.
 
Proposal page limits and layout: please refer to Part B of the proposal template in the submission system below.
 
3. Evaluation:
Evaluation criteria, scoring and thresholds are described in Annex H of the Work Programme.
Submission and evaluation processes are described in the Online Manual.
4. Indicative time for evaluation and grant agreements:
Information on the outcome of evaluation (two-stage call):
For stage 1: maximum 3 months from the deadline for submission.
For stage 2: maximum 5 months from the deadline for submission.
Signature of grant agreements: maximum 8 months from the deadline for submission.
5. Proposal templates, evaluation forms and model grant agreements (MGA):
Research and Innovation Action:
Specific provisions and funding rates
Standard proposal template
Standard evaluation form
General MGA - Multi-Beneficiary
Annotated Grant Agreement
6. Additional provisions:
Horizon 2020 budget flexibility
Clas...
1. Eligible countries: described in Annex A of the Work Programme.
A number of non-EU/non-Associated Countries that are not automatically eligible for funding have made specific provisions for making funding available for their participants in Horizon 2020 projects. See the information in the Online Manual.
 
2. Eligibility and admissibility conditions: described in Annex B and Annex C of the Work Programme.
 
Proposal page limits and layout: please refer to Part B of the proposal template in the submission system below.
 
3. Evaluation:
Evaluation criteria, scoring and thresholds are described in Annex H of the Work Programme.
Submission and evaluation processes are described in the Online Manual.
4. Indicative time for evaluation and grant agreements:
Information on the outcome of evaluation (two-stage call):
For stage 1: maximum 3 months from the deadline for submission.
For stage 2: maximum 5 months from the deadline for submission.
Signature of grant agreements: maximum 8 months from the deadline for submission.
5. Proposal templates, evaluation forms and model grant agreements (MGA):
Research and Innovation Action:
Specific provisions and funding rates
Standard proposal template
Standard evaluation form
General MGA - Multi-Beneficiary
Annotated Grant Agreement
6. Additional provisions:
Horizon 2020 budget flexibility
Classified information
Technology readiness levels (TRL) – where a topic description refers to TRL, these definitions apply
Members of consortium are required to conclude a consortium agreement, in principle prior to the signature of the grant agreement.
7. Open access must be granted to all scientific publications resulting from Horizon 2020 actions.
Where relevant, proposals should also provide information on how the participants will manage the research data generated and/or collected during the project, such as details on what types of data the project will generate, whether and how this data will be exploited or made accessible for verification and re-use, and how it will be curated and preserved.
Open access to research data
The Open Research Data Pilot has been extended to cover all Horizon 2020 topics for which the submission is opened on 26 July 2016 or later. Projects funded under this topic will therefore by default provide open access to the research data they generate, except if they decide to opt-out under the conditions described in Annex L of the Work Programme. Projects can opt-out at any stage, that is both before and after the grant signature.
Note that the evaluation phase proposals will not be evaluated more favourably because they plan to open or share their data, and will not be penalised for opting out.
Open research data sharing applies to the data needed to validate the results presented in scientific publications. Additionally, projects can choose to make other data available open access and need to describe their approach in a Data Management Plan.
Projects need to create a Data Management Plan (DMP), except if they opt-out of making their research data open access. A first version of the DMP must be provided as an early deliverable within six months of the project and should be updated during the project as appropriate. The Commission already provides guidance documents, including a template for DMPs. See the Online Manual.
Eligibility of costs: costs related to data management and data sharing are eligible for reimbursement during the project duration.
The legal requirements for projects participating in this pilot are in the article 29.3 of the Model Grant Agreement.
 
8. Additional documents:
1. Introduction WP 2018-20
9. Food security, sustainable agriculture and forestry, marine and maritime and inland water research and the bioeconomy WP 2018-20
18. Dissemination, Exploitation and Evaluation WP 2018-20
General annexes to the Work Programme 2018-2020
Legal basis: Horizon 2020 Regulation of Establishment
Legal basis: Horizon 2020 Rules for Participation
Legal basis: Horizon 2020 Specific Programme
Garantías:
No exige Garantías
No existen condiciones financieras para el beneficiario.

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