Table 2.
Variable | a | b | c | d | k | R 2 | s.e. | n |
Primary stem mass (g) | 1·799 | 0·998 | 0·565 | ‐ | –2·145 | 0·965 | 0·100 | 218 |
Lateral stem mass | 5·436 | 0·696 | 0·992 | ‐ | –3·179 | 0·793 | 0·327 | 142 |
Primary leaf mass | 1·091 | 0·400 | 0·298 | 0·739 | –1·206 | 0·949 | 0·079 | 218 |
Lateral leaf mass | 4·380 | 0·682 | 1·266 | ‐ | –3·661 | 0·819 | 0·279 | 153 |
Grape mass* | 2·156 | ‐ | 2·846 | –0·293 | –8·428 | 0·924 | 0·244 | 251 |
Total leaf area (dm2) | 1·289 | 0·666 | 0495 | ‐ | –1·032 | 0·932 | 0·104 | 128 |
a, b, c, d and k represent regression parameters of the equation log W = log k + a log Dm + b log L + c log S + d log npl, where Dm, L, S and npl are primary stem diameter at mid‐length (cm), main stem length (cm), cumulative degree‐days (using a base temperature of 10 °C) and number of primary leaves per shoot, respectively. R2 is the adjusted correlation coefficient, s.e. is the standard error of the variable estimate and n is the number of samples. All regression equations were highly significant at P < 0·01 level. * Note that for grapes, a and d represent regression parameters of the grape peduncle diameter (Dp, mm) and the number of grapes per shoot (ng), respectively.