Genomic evaluation methods to include intermediate correlated features such as high-throughput or omics phenotypes

A. Legarra, O.F. Christensen

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DOI: 10.3168/jdsc.2022-0276
Published: 2023-01
Container: JDS Communications
Publisher: American Dairy Science Association
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.3168/jdsc.2022-0276,
  title = {Genomic evaluation methods to include intermediate correlated features such as high-throughput or omics phenotypes},
  author = {A. Legarra and O.F. Christensen},
  year = {2023},
  journal = {JDS Communications},
  doi = {10.3168/jdsc.2022-0276},
  url = {https://doi.org/10.3168/jdsc.2022-0276}
}

RIS

TY  - JOUR
TI  - Genomic evaluation methods to include intermediate correlated features such as high-throughput or omics phenotypes
AU  - A. Legarra
AU  - O.F. Christensen
PY  - 2023
JO  - JDS Communications
DO  - 10.3168/jdsc.2022-0276
UR  - https://doi.org/10.3168/jdsc.2022-0276
ER  -

APA

Legarra, A., & Christensen, O. (2023). Genomic evaluation methods to include intermediate correlated features such as high-throughput or omics phenotypes. JDS Communications. https://doi.org/10.3168/jdsc.2022-0276

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crossref · retrieved 2026-09-25T03:23:04.302Z