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. 2020 Oct 20;6(10):e05302. doi: 10.1016/j.heliyon.2020.e05302

Table 3.

Placket-Burman design and statistical analysis of three attractants.

Protein Source Level
Coefficient estimate1 F Value Prob > F Significant2
-1 1
Chicken liver Model 6.57 0.0201 ∗∗
T (°C) 50 60 -0.80 1.23 0.31
S/L 3:1 1:1 1.58 4.82 0.0705
E/S (%) 0.4 0.8 0.18 0.06 0.8106
t (h) 2 4 2.45 11.55 0.0145 ∗∗
pH 6 7 2.81 15.19 0.008 ∗∗
L. edodes Model 6.07 0.0242 ∗∗
T (°C) 45 55 1.28 5.01 0.0665
S/L 1:6 1:10 -0.32 0.32 0.5945
E/S (%) 0.2 0.6 -1.59 7.70 0.0322 ∗∗
t (h) 2 4 2.38 17.33 0.0059 ∗∗
pH 4.5 5.5 -0.02 0.01 0.8954
T. molitor Model 44.37 0.0001 ∗∗
T (°C) 50 60 0.66 1.83 0.2249
S/L 1:1 1:5 -5.84 141.43 <0.0001 ∗∗
E/S (%) 0.8 1.6 3.07 39.12 0.0008 ∗∗
t (h) 3 5 2.26 21.07 0.0037 ∗∗
pH 8 9 2.11 18.41 0.0051 ∗∗
1

If the coefficient estimate was a positive number, the level of factor was positively related to DH (%). And if the coefficient estimate was a negative number, the level of factor was negatively related to DH (%).

2

‘∗’ stands for P < 0.1, and ‘∗∗’ stands for P < 0.05.