Table 6 Regression model parameters with all variables and combinations for Brazil.

From: The coffee agroecosystem: bio-economic analysis of coffee berry borer control (Hypothenemus hampei)

Variable

Mean

Estimate

Std. Error

z value

p*

(Intercept)

 

11.633713

0.0171672

677.671

< 2e−16

Cs

0.5

− 0.0363631

0.0079498

− 4.574

4.78e−06

Pc

0.5

− 0.1199346

0.0112427

− 10.668

< 2e-16

C

0.5

− 0.0859333

0.0112425

− 7.644

2.11e−14

Bb

0.5

− 0.0954134

0.0125624

− 7.595

3.07e−14

H

0.6

− 4.3176702

0.0181429

− 237.981

< 2e−16

Ma

0.5

− 0.1249867

0.0079498

− 15.722

< 2e−16

Het

0.5

− 0.0782117

0.0079498

− 9.838

< 2e−16

Stei

0.5

− 0.0737914

0.0079498

− 9.282

< 2e−16

T

33

0.0015787

0.0003419

4.617

3.89e−06

PcˑC

0.25

0.1090624

0.0158997

6.859

6.92e−12

BbˑH

0.3

− 0.1718035

0.0162244

− 10.589

< 2e−16

HˑT

21

0.0645351

0.0004384

147.212

< 2e−16

\({log}_{e}\) I

10.1188525

    
  1. Cs, Cephalonomia stephanoderis; Pn, Prorops nasuta; H, Harvest; Pc, Phymastichus coffea; CU, cleanup; T, time between cultural practices (harvest or cleanup); C, chemical control; Bb, Beauveria bassiana; Ma, Metarhizium anisopliae; St, Steinernema sp.; Ht, Heterorhabditis sp.; \({log}_{e}\) I, predicted value (log of CBB infested berries⋅year−1) using the mean values of the independent variables.
  2. *Only significant variables are included (p < 0.05).
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