Table 3.
Performance of rrBLUP (average r2) on the traits of four real data sets under the traditional encoding vs. the hybrid data-driven encoding.
Data Set | Traditional Encoding | Hybrid Data-driven Encoding | Improvement |
---|---|---|---|
Rice: Pericarp.color | 0.433 | 0.504 | 16.4% |
Rice: Protein.content | 0.176 | 0.177 | 0.6% |
Pig: Trait 2 | 0.237 | 0.239 | 0.8% |
Pig: Trait 4 | 0.203 | 0.218 | 7.4% |
QTLMAS: Trait 1 | 0.358 | 0.361 | 0.8% |
QTLMAS: Trait 2 | 0.187 | 0.18 | -3.7% |
Maize: Flint 1 TASS | 0.47 | 0.492 | 4.7% |
Maize: Flint 2 DMC | 0.301 | 0.308 | 2.3% |
Maize: Flint 3 DM_Yield | 0.057 | 0.068 | 19.3% |
Maize: Dent 1 Tass | 0.59 | 0.616 | 4.4% |
Maize: Dent 2 DMC | 0.562 | 0.58 | 3.2% |
Maize: Dent 3 DM_Yield | 0.321 | 0.349 | 8.7% |