Full-scale simulation of the Norwegian red dairy cattle breeding programme to enable testing future breeding directions

Alireza Ehsani*, Janez Jenko, Hanna Storlien, Havard Melbo Tajet, Ivan Pocrnic, Jana Obšteter, Gregor Gorjanc

*Corresponding author for this work

Research output: Contribution to conferencePaperpeer-review

Abstract / Description of output

A full-scale simulation that can cover all aspects of an ongoing breeding programme is a useful tool to test future breeding decisions. For example, dairy breeding is facing new challenges to include feed efficiency and methane emission traits in their breeding goals. To this end we have simulated a real size breeding programme of the Norwegian Red dairy cattle with detailed population structures and breeding decisions over the last 50 years. We simulated traditional progeny test and genomic selection scheme using AlphaSimR package. The simulation involved about 0.5 million animals per year spread across 7,000 herds with variable size, five groups of lactating cows, calves, heifers, and young, waiting, and proven bulls. All simulation parameters were fine-tunned (within the plausible theoretical and biological ranges) such that the results match the observed real-life trends. This simulation will enable Geno SA -Norwegian Red breeding organisation to test future breeding directions.
Original languageEnglish
Publication statusPublished - 7 Jul 2022
EventWorld Congress on Genetics Applied Livestock Production
- Rotterdam, Netherlands
Duration: 3 Jul 20228 Jul 2022
https://wcgalp.com/

Conference

ConferenceWorld Congress on Genetics Applied Livestock Production
Country/TerritoryNetherlands
CityRotterdam
Period3/07/228/07/22
Internet address

Keywords / Materials (for Non-textual outputs)

  • DAIRY CATTLE
  • Feed efficiency
  • AlphaSimR
  • simulation

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