Interfacing mechanistic and breeding scheme simulation to predict selection response on lactation efficiency in dairy cows under different nutritional environments
Combining mechanistic and genetic modelling is a promising approach to benchmark breeding strategies of dairy cow lactation efficiency and better anticipate the impact of changes in energetic trade-offs induced both by selection and changes in the nutritional environment. Moreover, the simulations of phenotypic trajectories over cow lifetime before and after selection enabled a better understanding of the mechanisms underlying genetic improvement.
Authors
- Laurence Puillet (ORCID: https://orcid.org/0000-0003-2358-7302)
- Morten Kargo (ORCID: https://orcid.org/0000-0003-1981-2722)
- Margot Slagboom (ORCID: https://orcid.org/0000-0002-0296-356X)
- N.C. Friggens (ORCID: https://orcid.org/0009-0008-0410-7223)
- Jørn Rind Thomasen (ORCID: https://orcid.org/0000-0001-7068-0572)
- A. Bouquet (ORCID: https://orcid.org/0000-0002-5567-7284)
Institutions
- Aarhus University (DK)
- AgroParisTech (FR)
- Université Paris-Saclay (FR)
- Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement (FR)
- Physiologie, Environnement et Génétique pour l'Animal et les Systèmes d'Elevage (FR)
- Regional Hospital Randers (DK)
- L'Institut Agro (FR)
Publication Details
- Journal
- Genetics Selection Evolution
- Published
- 2025-11-13
- DOI
- https://doi.org/10.1186/s12711-025-01013-w
- Primary Topic
- Genetic and phenotypic traits in livestock
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- European Commission
- Horizon 2020 Framework Programme