Published September 8, 2017
| Version v1
Dataset
Open
Improving accuracy of breeding values by incorporating genomic information in spatial-competition mixed models
Creators
- 1. Instituto de Recursos Biológicos (IRB), Centro de Investigación en Recursos Naturales (CIRN), Instituto Nacional de Tecnología Agropecuaria (INTA), De Los Reseros y Dr. Nicolás Repetto s/n, 1686, Hurlingham, Buenos Aires, Argentina.
- 2. Department of Forest and Conservation Sciences, Faculty of Forestry, The University of British Columbia, 2424 Main Mall, Vancouver, B.C., Canada V6T 1Z4.
- 3. Unité Amélioration, Génétique et Physiologie Forestières (UR UGPF), Institut National de la Recherche Agronomique (INRA), 45160, Ardon, France.
- 4. Instituto de Biotecnología (IB), Centro de Investigación en Ciencias Veterinarias y Agronómicas (CICVyA), Instituto Nacional de Tecnología Agropecuaria (INTA), De Los Reseros y Dr. Nicolás Repetto s/n, 1686, Hurlingham, Buenos Aires, Argentina.
- 5. Scion (New Zealand Forest Research Institute Ltd.), 49 Sala Street, Whakarewarewa, 3046 Rotorua, New Zealand.
Description
Supplementary information of a Eucalyptus grandis population, genomic and pedigree data including identity information of trees, family, and provenance of the paper entitled: Improving accuracy of breeding values by incorporating genomic information in spatial-competition mixed models.
Files
Files
(1.8 MB)
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md5:2fa5fdd3408f441d74b5f08a9c8c020b
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Additional details
Related works
- Cites
- 10.1007/s11032-017-0725-6 (DOI)