Assessing the predictive potential of the Holstein bovine sperm methylome for bull fertility using machine learning
- DOI
- 10.1186/s12711-026-01097-y
- Published
- 2026-10-30
- Container
- Genetics Selection Evolution
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1186/s12711-026-01097-y,
title = {Assessing the predictive potential of the Holstein bovine sperm methylome for bull fertility using machine learning},
author = {A. Asset and V. Costes and C. Fouéré and A. Raja-Ravi-Shankar and C. Le Danvic and F. Jaffrézic and H. Kiefer and D. Makowski},
year = {2026},
journal = {Genetics Selection Evolution},
doi = {10.1186/s12711-026-01097-y},
url = {https://doi.org/10.1186/s12711-026-01097-y}
}RIS
TY - JOUR TI - Assessing the predictive potential of the Holstein bovine sperm methylome for bull fertility using machine learning AU - A. Asset AU - V. Costes AU - C. Fouéré AU - A. Raja-Ravi-Shankar AU - C. Le Danvic AU - F. Jaffrézic AU - H. Kiefer AU - D. Makowski PY - 2026 JO - Genetics Selection Evolution DO - 10.1186/s12711-026-01097-y UR - https://doi.org/10.1186/s12711-026-01097-y ER -
APA
Asset, A., Costes, V., Fouéré, C., Raja-Ravi-Shankar, A., Danvic, C. L., Jaffrézic, F., Kiefer, H., & Makowski, D. (2026). Assessing the predictive potential of the Holstein bovine sperm methylome for bull fertility using machine learning. Genetics Selection Evolution. https://doi.org/10.1186/s12711-026-01097-y
Source records
- crossref · retrieved 2026-11-10T14:17:10.318Z