Table 2.
Multivariate linear regression equation between the temperature factors and the ginsenosides in roots of 3-year-old American ginseng collected from different cultivation sites of China
| Parameters | Multivariate linear regression equation | |
|---|---|---|
| Contents | Rg1 | Y = 0.180 − 0.068 x1 + 0.013 x3 + 0.001 x5 (F = 67.958 > F0.05, R2 = 0.936) |
| Y = 2.178 − 0.039 x2 + 0.010 x4 − 0.070 x6 (F = 43.391 > F0.05, R2 = 0.903) | ||
| Re | Y = −3.833 − 0.425 x1 + 0.038 x3 + 0.001 x5 (F = 105.257 > F0.05, R2 = 0.958) | |
| Y = 15.993 − 0.231 x2 + 0.018 x4 − 0.452 x6 (F = 67.899 > F0.05, R2 = 0.936) | ||
| Rb1 | Y = 12.467 − 0.278 x1 + 0.118 x3 + 0.001 x5 (F = 66.231 > F0.05, R2 = 0.934) | |
| Y = 18.373 − 0.129 x2 + 0.245 x4 − 0.481 x6 (F = 50.067 > F0.05, R2 = 0.915) | ||
| Total | Y = 29.600 − 0.328 x1 + 0.076 x3 + 0.001 x5 (F = 77.5 > F0.05, R2 = 0.943) | |
| Y = 30.728 − 0.069 x2 + 0.606 x4 − 1.185 x6 (F = 81.007 > F0.05, R2 = 0.946) | ||
| Yields | Rg1 | Y = −2.393 + 0.046 x1+ 0.664 x3 − 0.001 x5 (F = 50.983 > F0.05, R2 = 0.916) |
| Y = −6.63 − 0.169 x2 + 0.969 x4 − 0.097 x6 (F = 22.261 > F0.05, R2 = 0.827) | ||
| Re | Y = −5.014 + 0.486 x1 + 4.220 x3 − 0.004 x5 (F = 11.475 > F0.05, R2 = 0.711) | |
| Y = −34.048 − 1.198 x2 + 5.863 x4 + 0.104 x6 (F = 8.461 > F0.05, R2 = 0.645) | ||
| Rb1 | Y = −12.438 + 3.031 x1 + 7.801 x3 − 0.009 x5 (F = 66.320 > F0.05, R2 = 0.934) | |
| Y = −113.998 − 1.250 x2 + 10.505 x4 + 3.479 x6 (F = 34.824 > F0.05, R2 = 0.882) | ||
| Total | Y = 49.776 + 5.980 x1 + 11.949 x3 − 0.022 x5 (F = 70.684 > F0.05, R2 = 0.938) | |
| Y = −185.492 + 0.259 x2 + 19.119 x4 + 2.362 x6 (F = 34.349 > F0.05, R2 = 0.880) | ||
January minimum temperature (x1); January mean temperature (x2); July maximum temperature (x3); July mean temperature (x4); Active cumulative temperature (x5); Annual mean temperature (x6). Data of temperature factors in different cultivation sites were collected from National Meteorological Information Center of China (data did not all show).