Replication Data for: Measurements for multi-trait genomic-enabled prediction accuracy in multi-year breeding trials
Several different genome-based prediction models are available for the analysis of multi-trait data in genomic selection. The supplemental files included in this dataset provide six extensive multi-trait wheat datasets (quality and grain yield) that enable the comparison of performance of genomic-enabled-prediction when calculating the prediction accuracy using different methods. The related article describes the results of the analysis and reports that trait grain yield prediction performance is better under a multi-trait model as compared with the single-trait model.
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| Main Authors: | , , , , , , , |
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| Other Authors: | |
| Format: | Genotypic data biblioteca |
| Language: | English |
| Published: |
CIMMYT Research Data & Software Repository Network
2021
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| Subjects: | Agricultural Sciences, Wheat, Triticum aestivum, Agricultural research, Plant Breeding, Grain test weight, Grain protein content, Grain hardness, Flour protein content, Flour SDS sedimentation, Dough mixograph mixing time, Dough mixograph torque, Dough alveograph value W, Dough alveograph P/L, Bread loaf volume, Thousand Kernel Weight, |
| Online Access: | https://hdl.handle.net/11529/10548572 |
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