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. 2024 Oct 9;14:23642. doi: 10.1038/s41598-024-72576-9

Table 5.

Logistic regression model for common bean common bean rust incidence (%) and severity (%) and likelihood ratio test on independent variables in Southern Ethiopia during the 2022 main cropping season.

Independent variable df Common bean rust incidence LRTa Common bean rust severity LRTa
Type 1 analysis (VEF) Type 3 analysis (VEL) Type 1 analysis (VEF) Type 3 analysis (VEL)
DR P > χ2 DR P > χ2 DR P > χ2 DR P > χ2
District 8 26.32 < 0.000 30.62 < 0.000 27.79 < 0.000 22.42 0.004
Altitude 1 0.10 0.74 4.51 0.03 4.67 0.03 2.50 0.11
Sowing date 1 0.08 0.76 0.51 0.47 4.70 0.03 0.19 0.65
Cropping system 1 18.95 < 0.000 2.43 0.01 41.01 < 0.000 11.19 < 0.00
Plant (m−2) 1 5.21 0.02 41.01 0.087 6.30 0.01 0.19 0.66
Sowing method 1 11.19 < 0.000 2.43 0.12 11.19 < 0.000 2.31 0.12
Variety 1 5.90 0.01 0.96 0.32 5.73 0.01 0.79 0.37
Growth stage 2 0.54 0.76 5.65 0.05 0.90 0.63 0.52 0.77
Weed management 2 10.29 0.005 4.58 0.10 21.73 < 0.000 3.73 0.15
Fertilizer application 1 7.10 0.007 1.00 0.31 13.39 < 0.000 0.06 0.79

aLRT = likelihood ratio test; VEF = variable entered first; VEL = variable entered last; DR = deviance reduction; P = probability of an χ2 value exceeding the deviance reduction; χ2 = chi-square; and df = degrees of freedom.