Table 1 Performance of the 3D-breeding compared with the benchmark of a centralized genomic prediction.

From: Data-driven decentralized breeding increases prediction accuracy in a challenging crop production environment

Approach

OA

GY

Centralized GS

Season 1 (n=179)

0.134

−0.012

Season 2 (n=651)

0.105

0.076

Season 3 (n=335)

0.183

0.073

 

0.141 (± 0.039)

0.046 (± 0.049)

3D-breeding

Season 1 (n=179)

0.270

0.160

Season 2 (n=651)

0.276

0.078

Season 3 (n=335)

0.203

0.119

 

0.251 (± 0.040)

0.109 (± 0.041)

  1. 3D-breeding provides higher across-season goodness-of-fit (Kendall \(\tau\)) than centralized genomic prediction on overall appreciation (OA) and grain yield (GY) derived from farmer rankings on decentralized fields.
  2. Prediction accuracy combined across seasons is given in bold.
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