Following our earlier studies on the relationships between wood properties and the quality of veneer and plywood of Chinese plantation poplars, this study attempted to model their relationships with stepwise and multiple linear regression. The results show that the selected three indices of wood quality of veneer and plywood of plantations poplars grown on the shore of the Yangtse River in China, which are the variance of veneer thickness (VVT), the ratio of lathe check in veneer (ratio of the depth of check to the thickness of veneer) (RLC), and the glue-bond strength of plywood (GS), can be satisfactorily predicted with the key wood properties using the individual regression equations. The variance of veneer thickness (VVT) is a function of fiber width (FW), proportion of vessel (VP), and fiber (FP): VVT = -3.414 + 0.063 FW + 0.049 FP - 0.033 VP. The ratio of lathe check in veneer (RLC) is a function of wood hardness on tangential surface (TH), modulus of elasticity in bending (MOE), air-dry wood density (WD), and total volumetric shrinkage of wood (SV): RLC = 9.472 + 0.005 TH + 0.003 MOE + 8.366 WD - 2.302 SV. The glue-bond strength of plywood (GS) is a function of pH values (PH), fiber length (FL), fiber width (FW), vessel length (VL), and proportion of vessel (VP) and ray (RP): GS = 3.326 - 0.268 PH - 0.002 FL + 0.191 FW - 0.004 VL - 0.033 VP + 0.095 RP. The correlation coefficients (r) of the above regression equations are 0.73-0.93. The determination coefficients (r2) for the regression equations are 0.54-0.88. The regression equations are highly statistically significant at the 1% level. The differences between the model predicted and experimentally measured values are not statistically significant
