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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.

From: Data-driven encoding for quantitative genetic trait prediction

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%