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Table 5 Prediction ability of the USP dataset for single trait multi-environment trial (STMET) 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 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

0.46 ± 0.06

0.48 ± 0.05

0.46 ± 0.06

0.48 ± 0.05

0.47 ± 0.05

%

−4

−4

−1

 EH

μ

0.57 ± 0.30

0.62 ± 0.22

0.57 ± 0.30

0.62 ± 0.22

0.62 ± 0.22

%

−8

−8

 PH

μ

0.65 ± 0.05

0.65 ± 0.05

0.65 ± 0.05

0.65 ± 0.05

0.65 ± 0.05

%

CV2

 GY

μ

0.48 ± 0.05

0.51 ± 0.05

0.48 ± 0.05

0.51 ± 0.05

0.50 ± 0.05

%

−6

−6

−2

 EH

μ

0.58 ± 0.31

0.61 ± 0.24

0.58 ± 0.31

0.61 ± 0.24

0.61 ± 0.25

%

−5

−5

−1

 PH

μ

0.70 ± 0.04

0.70 ± 0.04

0.70 ± 0.04

0.70 ± 0.04

0.70 ± 0.04

%