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. 2022 Aug 5;135(9):3211–3222. doi: 10.1007/s00122-022-04180-2

Table 2.

Predictive accuracy when using all or only gene-based markers

Prediction scenario Traita Markers Bayes C RKHS
SNPS MITE/DTX RLX/RIX ALL SNPS MITE/DTX RLX/RIX ALL
Across GL Genic 0.57 0.51 0.41 0.67* 0.47 0.54 0.26 0.48
All 0.65 0.42 0.42 0.66 0.45 0.50 0.35 0.48
TF Genic 0.71 0.58 0.50 0.68 0.71 0.65 0.69 0.75*
All 0.71 0.66 0.56 0.71 0.68 0.72 0.67 0.73
Within GL Genic 0.56 0.55 0.43 0.57 0.56 0.38 0.36 0.55
All 0.61 0.69* 0.43 0.63 0.59 0.50 0.45 0.59
TF Genic 0.59 0.55 0.51 0.62 0.57 0.61 0.56 0.57
All 0.59 0.63* 0.62 0.60 0.59 0.65 0.59 0.60

*Best strategy

aGL: grain length; TF: time to flowering