Envirome-wide associations enhance multi-year genome-based prediction of historical wheat breeding data
Linking high-throughput environmental data (enviromics) to genomic prediction (GP) is a cost-effective strategy for increasing selection intensity under genotype-by-environment interactions (G × E). This study developed a data-driven approach based on Environment-Phenotype Associations (EPA) aimed a...
| Main Authors: | , , , , , , , , |
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| Format: | Journal Article |
| Language: | Inglés |
| Published: |
Oxford University Press
2023
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/126482 |
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