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Table 4 Prediction ability of the HEL dataset for multi-trait multi-environment trial (MTMET) analysis for the five models under study: EAD (M1); EAD + GE (M2); EADW (M3); EADW + GE (M4) and EADW + GW (M5), for both cross-validation schemes CV1 and CV2. PAs were calculated per 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

0.54 ± 0.18

0.66 ± 0.12

0.54 ± 0.17

0.67 ± 0.12

0.65 ± 0.14

%

− 19

− 19

− 3

 EH

μ

0.70 ± 0.06

0.70 ± 0.06

0.70 ± 0.06

0.71 ± 0.06

0.70 ± 0.06

%

− 1

− 1

− 1

− 1

 PH

μ

0.72 ± 0.06

0.73 ± 0.06

0.72 ± 0.06

0.73 ± 0.06

0.73 ± 0.06

%

− 1

− 1

CV2

 GY

μ

0.53 ± 0.16

0.68 ± 0.11

0.53 ± 0.16

0.68 ± 0.11

0.67 ± 0.12

%

− 22

− 22

− 1

 EH

μ

0.70 ± 0.06

0.75 ± 0.06

0.75 ± 0.06

0.75 ± 0.06

0.75 ± 0.06

%

 PH

μ

0.78 ± 0.05

0.79 ± 0.05

0.78 ± 0.05

0.79 ± 0.05

0.79 ± 0.05

%

− 1

− 1