Table 5 Regression model parameters with all variables and combinations for Colombia.

Variable	Mean	Regression coefficient	Std. error	p*
(Intercept)		11.0481	0.1714	< 2e−16
Cs	0.5	− 0.0257	0.0055	2.85e−06
Pn	0.5	− 0.0286	0.0087	0.000966
H	0.6	− 1.5835	0.0161	< 2E−16
Pc	0.5	− 0.3751	0.0160	< 2E−16
Bb	0.5	− 0.3178	0.0150	< 2e−16
CU	0.6	− 0.7607	0.0140	< 2E−16
C	0.5	− 0.1381	0.0078	< 2E−16
Ma	0.5	− 0.0420	0.0055	1.94E−14
Het	0.5	− 0.1388	0.0055	< 2e−16
Stei	0.5	− 0.1215	0.0055	< 2e−16
T	33	0.0070	0.0004	< 2e−16
PnˑH	0.3	0.0285	0.0112	0.010793
PcˑBb	0.25	0.2960	0.0173	< 2e−16
PcˑH	0.3	0.1864	0.0161	< 2e−16
BbˑH	0.3	0.1514	0.0161	< 2e−16
PcˑCU	0.3	0.0385	0.0116	0.000872
PcˑC	0.25	0.1580	0.0110	< 2e−16
BbˑCU	0.3	0.0665	0.0116	8.85e-09
HˑT	21	0.0123	0.0003	< 2e−16
CUˑT	21	0.0034	0.0003	< 2e−16
HˑPcˑBb	0.15	− 0.2084	0.0224	< 2e–16
\({log}_{e}\) I	9.8322246

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 (\({log}_{e}\) of CBB infested berries⋅year⁻¹) using the mean values of the independent variables.
*Only significant variables and interactions are included (p < 0.05).

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