New deep learning genomic prediction model for multi-traits with mixed binary, ordinal, and continuous phenotypes
The seven data sets are wheat data from CIMMYT Global Wheat Breeding program. They comprise different traits, like days to heading, days to maturity, grain yield, grain color, different type of leaf and stripe rust in wheat. Also the trials were run in different environments.
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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, Wheat, Days to heading, Days to maturity, Grain yield, Grain color, Genomic selection, Deep learning, Plant breeding, Multi-trait, Mixed phenotypes, |
Online Access: | https://hdl.handle.net/11529/10548140 |
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