Metabolomic-genomic prediction can improve prediction accuracy of breeding values for malting quality traits in barley

Table 2 Estimated genomic and metabolomic variances for malting quality traits using GBLUP and MGBLUP

GBLUP genomic best linear unbiased prediction, MGBLUP metabolomic-genomic best linear unbiased prediction, FS filtering speed, EY extract yield, WC wort color, BG beta-glucan, WV wort viscosity
\(\overline{G}{\sigma }_{g}^{2}\): estimated genomic variance for GBLUP (\({h}^{2}\) is the heritability estimate for GBLUP, i.e. proportion of total phenotypic variance); total: total phenotypic variance (GBLUP); \(\overline{G} {\sigma }_{g,1}^{2}\): estimated direct genomic variance for MGBLUP (\({h}_{d}^{2}\) is the estimated direct heritability for MGBLUP, i.e. proportion of total phenotypic variance); \(\overline{Q}{\sigma }_{u}^{2}\): estimated metabolomic variance for MGBLUP (\({c}_{m}^{2}\) is the estimated metabolomic variance ratio for MGBLUP, i.e. proportion of total phenotypic variance); total: total phenotypic variance (MGBLUP); \({h}_{m}^{2}\): estimated heritability of metabolomic intensities; \({h}^{2}\): estimated heritability for MGBLUP, \({h}^{2}={c}_{m}^{2}{h}_{m}^{2}+{h}_{d}^{2}\). Standard errors on estimates are in Additional file 2: Tables S1 and S2)

ISSN: 1297-9686