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Testing Genomic Selection Scenarios in a Small Cattle Population

This study presents a simulation-based approach to testing different genomic selection scenarios in a small cattle population. The aim is to evaluate sustainable strategies for integrating genomic selection and improving genetic gain.

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Testing Genomic Selection Scenarios in a Small Cattle Population

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  1. Testing different genomic selection scenarios in a small cattle population by simulation JANA OBŠTETER Janez JENKO John HICKEY Gregor GORJANC EAAP 2018 Dubrovnik, Croatia, 27th August 2018

  2. Introduction • Small cattle populations • Genomic selection not fully integrated • Sustainable strategy to catch up with other populations?

  3. Aims 1) Developthe simulator 2) Sire selectionscenarios 3) Sire usestrategies

  4. The simulator • Cattlepopulationunderselection • Overlappinggeneration • User-definedparameters • % selected, years in use, dosage, selectioncriterion ... • Progenyandgenomictesting (10K reference) • PythonwrapperaroundAlphaSim (Fauxetal., 2012) and blupf90 (Misztaletal., 2002)

  5. Sire selection scenarios Progenytesting - pre-selection on parentaverage Progenytesting - pre-selection on gEBV Genomictesting

  6. Genetic gain 4.5 3.9 3.7 units 3.1 2.3

  7. Selection efficiency 84 93 98 100 77

  8. Effective population size

  9. Sire use strategy 5 bulls / 5 years 1 bull / 5 years 5 bulls / 1 year PS GS-PS GS-C GS-BD GS PS GS-PS GS-C GS-BD GS PS GS-PS GS-C GS-BD GS

  10. Geneticgainofthetestedscenarios in the last generation.

  11. Efficiencyofthetestedscenarios in the last generation. Converted/Lost genic standard deviation 5 bulls / 5 years 1 bull / 5 years 5 bulls / 1 year 77 - 100 42 - 72 61 - 87 Genic standard deviation

  12. Effective population size (genomic) of the tested scenarios in the last generation.

  13. Conclusions • Developed a realisticcattlebreeding simulator • Sire selectionscenarios • Geneticgainincreaseswithgenomicsandreduced interval • Hybridscenariosthe most efficient • Use ofgenomicsandincreasedintensityreduce Ne • Sire usestrategies • Veryhighintensityobviously not recommended • Rapidturn-overofbullsincreasesgainandonlyslightlydecreasesefficiencyand Ne

  14. Conclusions • Developed a realisticcattlebreeding simulator • Sire selectionscenarios • Geneticgainincreaseswithgenomicsandreduced interval • Hybridscenariosthe most efficient • Use ofgenomicsandincreasedintensityreduce Ne • Sire usestrategies • Veryhighintensityobviously not recommended • Rapidturn-overofbullsincreasesgainandonlyslightlydecreasesefficiencyand Ne

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