Table 2.
Comparison | MD | R2X(cum) | R2Y(cum) | Q2(cum) | F | P |
---|---|---|---|---|---|---|
Shoot | ||||||
C vs. A | 1+3 | 0.612 | 0.985 | 0.646 | 3.16 | 0.038 |
C vs. N | nm | |||||
C vs. AN | 1+0 | 0.384 | 0.399 | 0.235 | 2.61 | 0.102 |
A vs. N | nm | |||||
A vs. AN | nm | |||||
N vs. AN | nm | |||||
Root | ||||||
C vs. A | 1+1 | 0.218 | 0.465 | 0.157 | 1.58 | 0.234 |
C vs. N | nm | |||||
C vs. AN | nm | |||||
A vs. N | 1+4 | 0.630 | 0.990 | 0.577 | 1.92 | 0.157 |
A vs. AN | 1+6 | 0.757 | 0.939 | 0.501 | 0.90 | 0.563 |
N vs. AN | nm |
There were 10 replicates per treatment (data are shown from one representative experiment of three independent experiments). The quality of the resulting models was evaluated with the routine 1/7th out cross validation based on the residuals with R2X(cum) (cumulative modelled variation in X), R2Y(cum) (cumulative modelled variation in Y), and Q2cum (model predictive ability parameter according to cross validation). The result from CV-ANOVA based on the cross-validated predictive residuals is listed for each model and significant results (indicating a valid model) are marked by bold numbers. MD = model dimensions (predictive + orthogonal components); nm = no model could be generated; C = control; A = aphid treatment; N = nematode treatment; AN = aphid + nematode treatment.