Genomic management Tools to Optimise Resilience and Efficiency

    Project: EU research project

    Project Details


    The objective of GenTORE is to develop innovative genome-enabled selection and management tools to optimise cattle resilience and efficiency (R&E) in widely varying environments. These tools, incorporating both genetic and non-genetic variables, will be applicable across the full range of systems (beef, milk and mixed), and will thereby increase the economic, environmental and social sustainability of European cattle meat and milk production systems. To achieve this, GenTORE brings together: 1) multidisciplinary scientific expertise in genomics, environmental assessment, nutritional physiology, health management, precision livestock farming, mathematical modelling, and socio-economics; 2) partners and stakeholders representing breeding organisations, farm technology companies, farm and veterinary advisory services, and farm sectors (organic, grazing, etc.); and 3) a unique data basis including >1 million genotypes.
    This multi-actor team will develop tools for: multi-breed selection for R&E, characterisation of diverse farm environments, large-scale phenotyping of R&E using on-farm technology, on-farm management of breeding and culling decisions, and predicting the consequences for farm resilience of changing breeding and management. These tools are designed to be applicable under commercial conditions at the end of the project. They will allow increased use of the genomic diversity in cattle breeds, e.g. use of selective cross-breeding to best exploit the local production environment. They will also allow farm managers, their advisors, and policy-makers, to assess the relative importance of breeding for animal resilience vs breeding for efficiency, with respect to system resilience. As such GenTORE will not only enable the use of genomic information to facilitate predictive biology of efficiency- and resilience-related traits, but will also increase resilience of livestock production in the face of current and future challenges of climate change and food security.
    Effective start/end date1/06/1731/05/22

    Research Output

    • 1 Conference paper
    • 1 Article

    Exploration of variance, autocorrelation, and skewness of deviations from lactation curves as resilience indicators for breeding

    Poppe, M., Veerkamp, R. F., van Pelt, M. L. & Mulder, H. A., Feb 2020, In : Journal of Dairy Science. 103, 2, p. 1667-1684

    Research output: Contribution to journalArticleAcademicpeer-review

  • 1 Citation (Scopus)

    At-market sensor technologies to develop proxies for resilience and efficiency in dairy cows

    Ouweltjes, W., De Haas, Y. & Kamphuis, C., Aug 2019, Precision Livestock Farming 2019: Papers Presented at the 9th European Conference on Precision Livestock Farming, ECPLF 2019. O'Brien, B., Hennessy, D. & Shalloo, L. (eds.). Teagasc, p. 246-253 8 p. (Precision Livestock Farming 2019 - Papers Presented at the 9th European Conference on Precision Livestock Farming, ECPLF 2019).

    Research output: Chapter in Book/Report/Conference proceedingConference paper

  • Activities

    • 1 Oral presentation

    GenTORE: Genomic management Tools to Optimise Resilience and Efficiency

    C. Kamphuis (Speaker), Y. de Haas (Contributor), N.C. Friggens (Contributor)
    3 May 2018

    Activity: Talk or presentationOral presentation