Table 4 Estimates of individual seed lot repeatability (H ²), narrow-sense heritability assuming a selfing rate of 0.3 (h ²), classical repeatability of seed lot predictions (\( {H}_{\overline{S}\overline{L}}^2 \)) and generalised seed lot prediction repeatability using prediction error variance matrix (PEV) from single attribute analysis (\( u{H}_{\overline{S}\overline{L},k}^{2*} \)); PEV from multi-attribute analysis considering only seed lots for which attributes were assessed (\( p{H}_{\overline{S}\overline{L}}^{2*} \)) and PEV from multi-attribute analysis considering all seed lots (\( a{H}_{\overline{S}\overline{L}}^{2*} \)) for 15 trial-by-trait-by-age attributes (BA Basal Area, HT stem height, PP pilodyn penetration, BD wood basic density determined by volumetric method, DN wood density determined by NIR, PY pulp value determined by NIR, CC cellulose content determined by NIR,). Also shown is the average number of observations per seed lot (n _k )

From: Improving prediction accuracy and selection of open-pollinated seed-lots in Eucalyptus dunnii Maiden using a multivariate mixed model approach