Supplementary Information A cost-effective method for combining the power of genetic and epigenetic selection in animal production [Dataset]
This study was supported by the ‘Centro para el Desarrollo Tecnológico e Industrial’ (CDTI) and Fondo Europeo Marítimo y de Pesca (FEMP) through the Project IDI-20220244 to ML and by Spanish Ministry of Science grants PID2019-108888RB-I00 and PID2022-139096OB-I00 to FP with funding from the Spanish...
| Autores: | , , , , , |
|---|---|
| Formato: | conjunto de datos |
| Estado: | Versión publicada |
| Fecha de publicación: | 2025 |
| País: | España |
| Recursos: | Consejo Superior de Investigaciones Científicas (CSIC) |
| Repositorio: | DIGITAL.CSIC. Repositorio Institucional del CSIC |
| OAI Identifier: | oai:digital.csic.es:10261/411484 |
| Acesso em linha: | http://hdl.handle.net/10261/411484 https://doi.org/10.20350/digitalCSIC/17856 |
| Access Level: | acceso abierto |
| Palavra-chave: | Epigenetic biomarkers Breeding programs Key performance indicators Machine learning Feature selection Polygenic traits http://metadata.un.org/sdg/14 Conserve and sustainably use the oceans, seas and marine resources for sustainable development |
| Resumo: | This study was supported by the ‘Centro para el Desarrollo Tecnológico e Industrial’ (CDTI) and Fondo Europeo Marítimo y de Pesca (FEMP) through the Project IDI-20220244 to ML and by Spanish Ministry of Science grants PID2019-108888RB-I00 and PID2022-139096OB-I00 to FP with funding from the Spanish government through the ‘Severo Ochoa Centre of Excellence’ accreditation (CEX2019-000928-S). NS was supported by a Spanish Ministry of Science and Innovation predoctoral scholarship (BES-2017-079744) |
|---|