Combined Use of Univariate and Multivariate Approaches to Detect Selection Signatures Associated with Milk or Meat Production in Cattle
The results of the present study suggest that the combined use of univariate and multivariate approaches can help to better identify selection signatures due to directional selection.
Authors
- Michele Congiu (ORCID: https://orcid.org/0009-0000-0351-9658)
- N.P.P. Macciotta (ORCID: https://orcid.org/0000-0001-5504-9459)
- Alberto Cesarani (ORCID: https://orcid.org/0000-0003-4637-8669)
- Corrado Dimauro (ORCID: https://orcid.org/0000-0002-6588-923X)
- Laura Falchi (ORCID: https://orcid.org/0000-0001-5950-8456)
Institutions
- University of Sassari (IT)
- University of Georgia (US)
Publication Details
- Journal
- Genes
- Published
- 2024-11-26
- DOI
- https://doi.org/10.3390/genes15121516
- Citations
- 4
- Primary Topic
- Genetic and phenotypic traits in livestock
- Type
- article
- Field-Weighted Citation Impact
- 2.20