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Table 3 Prediction ability of the HEL dataset for single trait multi-environment trial (STMET) analysis for five models: EAD (M1); EAD + GE (M2); EADW (M3); EADW + GE (M4) and EADW + GW (M5), for both cross-validations CV1 and CV2. PAs were calculated by environment for grain yield (GY), ear height (EH) and plant height (PH). μ is the average PA across environments and % is the difference between that PA and the highest PA. Standard deviation appears before the “±” sign

From: Enviromic-based kernels may optimize resource allocation with multi-trait multi-environment genomic prediction for tropical Maize

Trait

 

M1

M2

M3

M4

M5

CV1

 GY

μ

0.53 ± 0.20

0.66 ± 0.13

0.53 ± 0.20

0.66 ± 0.13

0.64 ± 0.15

%

−20

−20

−3

 EH

μ

0.69 ± 0.06

0.70 ± 0.06

0.69 ± 0.06

0.70 ± 0.06

0.70 ± 0.06

%

−1

−1

 PH

μ

0.72 ± 0.06

0.73 ± 0.06

0.72 ± 0.06

0.73 ± 0.06

0.73 ± 0.06

%

−2

−2

CV2

 GY

μ

0.52 ± 0.17

0.68 ± 0.12

0.52 ± 0.18

0.68 ± 0.12

0.67 ± 0.13

%

−24

−24

−2

 EH

μ

0.75 ± 0.06

0.75 ± 0.05

0.75 ± 0.05

0.75 ± 0.05

0.75 ± 0.05

%

 PH

μ

0.78 ± 0.05

0.79 ± 0.05

0.78 ± 0.05

0.79 ± 0.05

0.79 ± 0.05

%

− 2

−2