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PerformFISH: Consumer Driven Production - Integrating Innovative Approaches for Competitive and Sustainable Performance


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BlueBRIDGE workshop: "Supporting Blue Growth with innovative applications based on EU e-infrastructures" - Brussels February 2018

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PerformFISH: Consumer Driven Production - Integrating Innovative Approaches for Competitive and Sustainable Performance

  1. 1. Consumer Driven Production: Integrating Innovative Approaches for Competitive and Sustainable Performance across the Mediterranean Aquaculture Value Chain This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 727610. The Key Performances Indicator System for Mediterranean Aquaculture Industry in PerformFISH Giovanna Marino ISPRA - SNPA National System for Environmental Protection
  2. 2. Pillar: Societal Challenges Societal Challenge 2 Workprogramme Sustainable Food Security PerformFISH contributes to the vision of H2020 2016 SFS-23
  3. 3. 2016- SFS-23 Increase the Mediterranean aquaculture competiveness by improving its technical performance together with a shift from production-oriented growth to market-oriented and consumer responsive approach Objec2vePerformFISH Objective to match 2016 SFS-23 To increase the competitiveness of the Mediterranean aquaculture sector by tackling biological, technical and operational weaknesses that underlie the stagnation of marine fish production in the last decade, while addressing social and environmental responsibility and contributing to “Blue Growth”
  4. 4. Impacts are expected to contribute to SDGs
  5. 5. PerformFISH embraces the 3 Os’ principle Open Science  Open-access publications (Green or Gold)  Samples available outside the project Open Innovation  User-centric approach  Participation of Associations vs individual companies  KPI benchmarking system  Adoption of standards and the ethical framework to be developed by Associations representing MMFF Open to the World  Spread of the revisited, modern Code-of-conduct to the non- EU Mediterranean actors
  6. 6. PerformFISH structure
  7. 7. Builds a robust benchmarking system based on Key Performance Indicators that integrate all production chains and make a validated system adopted by the industry to support the sector to achieve cost-efficiency, welfare friendly husbandry practices and environmental sustainability. WP7. KPIs, Impact Assessment & Code of Conduct
  8. 8. to provide to MMFF companies a benchmarking system to evaluate their performance and optimize against best practices and the competition to provide Virtual Research Environment (VREs) for storage, analyse and processing project data to assess the impact of TRL advances on performances and farm efficiencies to consolidate best practices and harmonized standards in the Code of Conduct of MMFF sector KPIs, Impact Assessment & CoC
  9. 9. Key Performance Indicators - KPIs  Build on farm data - collected in routine cycles and experiments - accessible production data by the Industry (closed batches 2016)  Linked to critical successful factors growth, health, feed, welfare…  SMART criteria - specific, measurable, attainable, relevant, time- bound - Simple to measure - easy to understand
  10. 10. GROWTH HEALTH PRODUCTIVITY WELFARE ENVIRONMENT FEED T-KPI - biological performances of batches and technical efficiency ENV-KPI - the impact of farming practices on the preservation of biodiversity and habitats, the use of natural resources, water, space and energy use W-KPI - fish welfare at different life stages and husbandry practices E-KPI for productivity & farm efficiency Industry performances benchmarking
  11. 11. Production cycle & Parametrization Stocking size: 1 dph larvae Final size: 2400dd Stocking period: Early (Aug- Oct), Natural (Dec – Feb), Late (Apr-Jun) Data input: representative batches from each stocking period and for the whole production cycle Data Reporting: 1200, 1800, 2400 dd Hatchery Set of 15 KPIs under validation by MMFF sector Survival, deformities, weaned fish, discharged fish, growth (SGR), Artemia and rotifers requirements, productivity (FTE)
  12. 12. Production cycle & Parametrization Stocking size: 2400 dd fish Final size: up to 20g Stocking period: Early (Aug- Oct), Natural (Dec – Feb), Late (Apr-Jun) Data input: representative batches from each stocking period and for the whole production cycle Data Reporting: end of cycle Nursery-preongrowing Set of 6 KPIs under validation by MMFF sector Mortalities, deformities, discharged fish, FCR, growth (SGR)
  13. 13. Production cycle & Parametrization Stocking period: Q1 / Q2 / Q3 / Q4 Stocking size: 2-5g / 5.1-10g / >10 Final size: 250g / 400g / 800g / Harvested batches Data input: 0-50g, 51-150g, 151-200g, 201-300g, 301-400g, harvested batches Data reporting: batch, farm, area Geographical level: satellite temperature data Grow –out Mean seasonal sea temperature recorded for the last 30 years in Mediterranean 10 aquaculture sites (CMCC-ISPRA)
  14. 14. Production cycle & Parametrization Set of 30 KPIs under validation by MMFF sector Losses: Mortalities (total, by disease, after transport), unaccounted losses, total losses, discarded fish at slaughter, vaccination efficacy, dependency on treatments HEALTH GROWTH SGR, GPD, TGC FEED EFFICIENCY FCR , FCRBIO FISH WELFARE Mortalities, treatments, stocking density, oxygen depletion days ENVIRONMENT Benthic index, P-N in sediment, escapes, endangered species lethal incidents, FCR-FCR bio, FFDR- FM &FO PRODUCTIVITY Biomass/FTE; biomass/volumes sea water
  15. 15. PerformFISH VREs - preparation work ( start at May 2018)  Identify datasets to be stored  Specify the VREs for storing datasets and their corresponding sharing policies  Transformation of raw data recorded during trials into a good format for analysis in the VREs  Specify the VRE supporting KPI database, model analysis and benchmarking D4Science data infrastructure The computational resources available to PerformFish through the DataMiner are 20 Virtual Machines (VM) with 32GB RAM