Skip to main content
. 2018 Jan 18;69(7):1517–1531. doi: 10.1093/jxb/ery002

Table 4.

Number of QTLs, explained phenotypic variance, and prediction ability per trait and location

Trait a Location Analysis type b QTLs c R 2 adj d R 2 pred e
SHO Halle Across 28 81.3 63.3
Dundee Across 12 41.8 18.7
SEL Halle Across 23 70.9 45.9
Dundee Across 11 19.6 0.4
HEA Halle Across 25 82.8 65.5
Dundee Across 23 81.1 63.4
RIP Halle Across 29 62.6 33.6
Dundee Across 19 52.4 26.8
MAT Halle Across 22 75.9 56.5
Dundee Across 22 53.6 23.1
HEI Halle Across 23 82.4 67.0
Dundee Across 22 79.7 64.8
LOD Halle Across 16 70.9 52.0
TCK Dundee N0 15 44.5 17.5

a Trait abbreviations are given in Table 1. b Phenotypic data used for GWAS were analysed across N treatments or restricted to N0 (low N). c Number of robust QTLs with detection rate of peak marker ≥25. d Mean explained phenotypic variance in the training set across all cross-validation runs in %. e Mean prediction ability in the validation set across all cross-validation runs in %.