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. 2014 Jan 20;9(1):e85989. doi: 10.1371/journal.pone.0085989

Table 3. Significant inputs from neurofuzzy logic submodels and training R2 with f value, degrees of freedom and p-value (99 and 95%) in the ANOVA for each output.

Outputs Submodel Significant inputs and interactions R2 f value df1,df2* α value
Survival (%) 1 S 0.8771 33.31 3, 17 <0.01
Root length (cm) 1 S 0.8938 27.36 4, 17 <0.01
2 L
Shoot length (cm) 1 S 0.8628 20.44 4, 17 <0.01
2 L
In vitro leaves per plantlet 1 S×L 0.8239 5.26 8, 17 <0.01
Ex vitro leaves per plantlet 1 S 0.7275 6.41 5, 17 <0.01
2 L
Ex vitro/in vitro leaves 1 S×L 0.7488 5.47 6, 17 <0.01
Plantlet dry weight (g) 1 S×L 0.9550 2.83 15, 17 <0.05
WC (%) 1 S 0.8210 14.91 4, 17 <0.01
2 L
Stomatal density (mm−2) 1 S×L 0.9493 2.50 15, 17 <0.05
Open stomata (%) 1 L 0.7564 14.68 3, 16 <0.01
Fv/Fm 1 L 0.7149 6.02 5, 17 <0.01
2 S
F0 1 S×L 0.7555 5.66 6, 17 <0.01
Chl a+b (µg g−1 leaf) 1 S×L 0.9825 7.46 15, 17 <0.01
Carotenoids (µg g−1 leaf) 1 S×L 0.9787 6.13 15,17 <0.01

Inputs: S, sucrose and L, light. Inputs with the stronger effect on each output are highlighted.

df: degrees of freedom; df1: model; df2: total.