Bayesian multitrait kernel methods improve multienvironment genome-based prediction
When multitrait data are available, the preferred models are those that are able to account for correlations between phenotypic traits because when the degree of correlation is moderate or large, this increases the genomic prediction accuracy. For this reason, in this article, we explore Bayesian mu...
| Main Authors: | , , , , , , , , , , , , , , |
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| Format: | Journal Article |
| Language: | Inglés |
| Published: |
Oxford University Press
2022
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/126371 |
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