A Bayesian genomic multi-output regressor stacking model for predicting multi-trait multi-environment plant breeding data
A new statistical model is presented for genomic prediction on maize and wheat data comprising multi-trait, multi-environment data.
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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
2018
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Subjects: | Agricultural Sciences, Agricultural research, Maize, Zea mays, Wheat, Triticum aestivum, Genomic selection, Bayesian multi-output regressor stacking, Genomic best linear unbiased prediction, GBLUP, Multi-trait, Multi-environment, Breeding programs, |
Online Access: | https://hdl.handle.net/11529/10548141 |
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