Replication Data for: Sparse multi-trait genomic prediction under incomplete block designs
The efficiency of genomic selection methodologies can be increased by sparse testing where a subset of materials are evaluated in different environments. Seven different multi-environment plant breeding datasets were used to evaluate four different methods for allocating lines to environments in a multi-trait genomic prediction problem. The results of the analysis are presented in the accompanying article.
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| Main Authors: | , , , , |
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| Other Authors: | |
| Format: | Experimental data biblioteca |
| Language: | English |
| Published: |
CIMMYT Research Data & Software Repository Network
2022
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| Subjects: | Agricultural Sciences, Plant Breeding, Agricultural research, Triticum aestivum, Wheat, Groundnuts, Rice, |
| Online Access: | https://hdl.handle.net/11529/10548787 |
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