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A Bayesian Genomic Multi-output Regressor Stacking Model for Predicting Multi-trait Multi-environment Plant Breeding Data
In this paper we propose a Bayesian multi-output regressor stacking (BMORS) model that is a generalization of the multi-trait regressor stacking method. The proposed BMORS model consists of two stages: in the first stage, a univariate genomic best linear unbiased prediction (GBLUP including genotype...
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| Gepubliceerd in: | G3 (Bethesda) |
|---|---|
| Hoofdauteurs: | , , , , , , , , |
| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
Genetics Society of America
2019
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| Onderwerpen: | |
| Online toegang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6778812/ https://ncbi.nlm.nih.gov/pubmed/31427455 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1534/g3.119.400336 |
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