Table 6.
Multiple analysis of variance (MANOVA) showing the interactions between the experimental design factors.
| Multivariate testsa | |||||
|---|---|---|---|---|---|
| Effect | Wilks' Lambda Value | F | Hypothesis df | Error df | Sig. |
| Intercept | 0.000 | 360315.017b | 14.000 | 11.000 | 0.000 |
| Irrigation (I) | 0.000 | 149.757b | 28.000 | 22.000 | 0.000 |
| Cultivar (C) | 0.004 | 205.811b | 14.000 | 11.000 | 0.000 |
| Year (Y) | 0.007 | 106.959b | 14.000 | 11.000 | 0.000 |
| I x C | 0.000 | 65.970b | 28.000 | 22.000 | 0.000 |
| I x Y | 0.003 | 12.895b | 28.000 | 22.000 | 0.000 |
| C x Y | 0.012 | 63.135b | 14.000 | 11.000 | 0.000 |
| I x C x Y | 0.003 | 13.159b | 28.000 | 22.000 | 0.000 |
a
Design: Intercept + I + C + Y + I x C + I x Y + C x Y + I x C x Y; b. Exact statistic.