Table 2 Multiple linear regression models along with coefficients of determination (R2) regarding the impact of weather parameters on the seasonal abundance of different insect pests of betel leaf
From: Sustainable management approach for sucking pests control in betel leaf of Bangladesh
Name of the insect | Regression equation | R2 | 100R2 | % Role of individual factor | F statistic |
|---|---|---|---|---|---|
Black fly | Y = − 16.438 + 1.082X1 | 0.547 | 54.7 | 54.7 | F1,10 = 12.09, P < 0.01 |
Y = 2.190 + 1.075X1− 0.227X2 | 0.570 | 57.0 | 3.7 | F2,9 = 5.97, P < 0.05 | |
Y = − 14.675 + 1.222X1− 0.057X2− 0.006X3 | 0.579 | 57.9 | 0.9 | F3,8 = 3.67, P < 0.10 | |
White fly | Y = − 12.201 + 0.726X1 | 0.343 | 34.3 | 34.3 | F1,10 = 5.21, P < 0.05 |
Y = 31.610 + 0.710X1− 0.509X2 | 0.503 | 50.3 | 16.0 | F2,9 = 4.56, P < 0.05 | |
Y = 20.288 + 0.809X1− 0.395X2− 0.004X3 | 0.509 | 50.9 | 0.6 | F3,8 = 2.76, P < 0.10 | |
Red spider mite | Y = − 9.342 + 0.671X1 | 0.339 | 33.9 | 33.9 | F1,10 = 5.12, P < 0.05 |
Y = 30.813 + 0.655X1− 0.489X2 | 0.510 | 51.0 | 17.1 | F2,9 = 4.69, P < 0.05 | |
Y = 2.843 + 0.725X1− 0.408X2− 0.003X3 | 0.513 | 51.3 | 0.3 | F3,8 = 2.82, P < 0.10 | |
Mealy bug | Y = − 10.008 + 0.645X1 | 0.363 | 36.3 | 36.3 | F1,10 = 5.70, P < 0.05 |
Y = 27.265 + 0.630X1-0.454X2 | 0.535 | 53.5 | 17.2 | F2,9 = 5.18, P < 0.05 | |
Y = 1.223 + 0.683X1− 0.393X2− 0.002X3 | 0.537 | 53.7 | 0.2 | F3,8 = 3.10, P = 0.089 |