Genomic-enabled prediction in maize using kernel models with genotype × environment interaction
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| Main Authors: | , , , , , , , |
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| Other Authors: | |
| Format: | Phenotypic data biblioteca |
| Language: | English |
| Published: |
CIMMYT Research Data & Software Repository Network
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| Subjects: | Agricultural Sciences, Agricultural research, Maize, Zea Mays, Crop performance, Genomic Prediction, Genomic Selection, Genomic selection models, G×E, Genotype × Environment interaction, Gaussian kernel, Grain yield, Plant height, Ear height, Helix Seeds Company, University of Sao Paulo, Reproducing kernel Hilbert space, RNG×E, reaction norm genotype × environment interaction model, |
| Online Access: | https://hdl.handle.net/11529/10887 |
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