Multi-trait genomic prediction models enhance the predictive ability of grain trace elements in rice
Multi-trait (MT) genomic prediction models enable breeders to save phenotyping resources and increase the prediction accuracy of unobserved target traits by exploiting available information from non-target or auxiliary traits. Our study evaluated different MT models using 250 rice accessions from As...
| Main Authors: | , , , , |
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| Format: | Journal Article |
| Language: | Inglés |
| Published: |
Frontiers Media
2022
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/164057 |
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