Table 1.
Country corrected univariable | Country corrected multivariable | ||||||
---|---|---|---|---|---|---|---|
Outcome variable | Risk factor | N | β-coefficient | p-value | Adjusted R2 | β-coefficient | p-value |
LOG TI Breeding | TI 200 | 227 | <0.01 | <0.01 | 0.148 | <0.01 | 0.01 |
Internal biosecurity | 227 | 0.22 | 0.36 | 0.073 | |||
External biosecurity | 227 | 0.51 | 0.08 | 0.083 | |||
Years experience | 221 | −0.07 | 0.81 | 0.071 | |||
Pathogens vaccinated | 227 | 2.35 | 0.14 | 0.079 | |||
# sows | 227 | 0.01 | 0.33 | 0.074 | |||
# employees | 221 | 0.43 | 0.78 | 0.066 | |||
Gender | 214 | 0.60 | 0.071 | ||||
Male | 137 | 3.14 | 0.60 | ||||
Female | 77 | Ref. | Ref. | ||||
Education | 210 | 0.11 | 0.082 | ||||
Lower | 84 | −15.47 | 0.05 | ||||
Higher | 84 | −15.77 | 0.06 | ||||
University | 42 | Ref. | Ref. | ||||
Farrowing rhythm (cat) | 219 | 0.76 | 0.060 | ||||
>5 | 18 | −0.81 | 0.95 | ||||
5 | 20 | 2.76 | 0.82 | ||||
4 | 48 | −1.34 | 0.89 | ||||
3 | 80 | 4.33 | 0.62 | ||||
2 | 21 | 14.94 | 0.20 | ||||
1 | 32 | Ref. | Ref. | ||||
LOG TI 200 | TI Breeding | 227 | <0.01 | <0.01 | 0.332 | <0.01 | <0.01 |
Internal biosecurity | 227 | −0.01 | 0.11 | 0.325 | |||
External biosecurity | 227 | −0.02 | 0.01 | 0.353 | −0.03 | <0.01 | |
Weaning age | 216 | −0.05 | 0.05 | 0.335 | −0.05 | 0.06 | |
Years experience | 221 | <0.01 | 0.28 | 0.324 | |||
Pathogens vaccinated | 227 | 0.18 | <0.01 | 0.355 | 0.14 | <0.01 | |
# sows | 227 | <0.01 | 0.01 | 0.346 | |||
# employees | 221 | 0.05 | 0.32 | 0.315 | |||
Gender | 214 | 0.51 | 0.313 | ||||
Male | 137 | 0.11 | 0.51 | ||||
Female | 77 | Ref. | Ref. | ||||
Education | 210 | 0.39 | 0.331 | ||||
Lower | 84 | 0.07 | 0.77 | ||||
Higher | 84 | 0.28 | 0.24 | ||||
University | 42 | Ref. | Ref. | ||||
Zinc oxide | 205 | 0.29 | 0.310 | ||||
Yes | 39 | 0.25 | 0.29 | ||||
No | 166 | Ref. | Ref. | ||||
Anti-inflammatory weaners | 227 | 0.05 | 0.338 | ||||
Yes | 71 | 0.37 | 0.05 | ||||
No | 156 | Ref. | Ref. | ||||
Anti-coccidial | 214 | 0.10 | 0.313 | ||||
Yes | 90 | 0.28 | 0.10 | ||||
No | 124 | Ref. | Ref. | ||||
Farrowing rhythm | 219 | <0.01 | 0.360 | <0.01 | |||
>5 | 18 | −0.78 | 0.05 | −0.88 | 0.02 | ||
5 | 20 | −1.15 | <0.01 | −1.10 | <0.01 | ||
4 | 48 | −0.51 | 0.07 | −0.44 | 0.11 | ||
3 | 80 | −0.38 | 0.12 | −0.21 | 0.42 | ||
2 | 21 | 0.10 | 0.75 | −0.06 | 0.85 | ||
1 | 32 | Ref. | Ref. | Ref. | Ref. | ||
Number of weaned piglets per sow per year (WSY) | Years experience | 217 | −0.02 | 0.27 | 0.354 | ||
External biosecurity | 223 | 0.05 | <0.01 | 0.362 | |||
Internal biosecurity | 223 | 0.03 | 0.06 | 0.349 | |||
Weaning age | 212 | −0.17 | <0.01 | 0.367 | −0.19 | <0.01 | |
Pathogens vaccinated | 223 | 0.18 | 0.06 | 0.349 | |||
Mortality until weaning | 222 | −0.18 | <0.01 | 0.423 | −0.21 | <0.01 | |
#sows | 223 | <0.01 | <0.01 | 0.391 | |||
#employees | 217 | 0.22 | 0.02 | 0.359 | |||
TI Breeding | 223 | 0.01 | <0.01 | 0.362 | 0.01 | 0.06 | |
TI 200 | 223 | <0.01 | 0.71 | 0.339 | |||
Anti-inflammatory sucklers | 223 | ||||||
Yes | 122 | 0.43 | 0.39 | 0.340 | |||
No | 105 | Ref. | Ref. | ||||
Anti-inflammatory weaners | 223 | ||||||
Yes | 71 | 0.57 | 0.13 | 0.345 | |||
No | 156 | Ref. | Ref. | ||||
Anti-inflammatory sows | 215 | ||||||
Yes | 217 | 1.18 | 0.49 | 0.343 | |||
No | 2 | Ref. | Ref. | ||||
Anti-coccidial | 211 | ||||||
Yes | 90 | 0.08 | 0.82 | 0.337 | |||
No | 124 | Ref. | Ref. | ||||
Zinc oxide | 201 | ||||||
Yes | 39 | 0.86 | 0.06 | 0.363 | |||
No | 166 | Ref. | Ref. | ||||
Country * Weaning age | 0.02 | ||||||
Belgium * Weaning age | −0.20 | 0.18 | |||||
France * Weaning age | 0.21 | 0.04 | |||||
Germany * Weaning age | 0.15 | 0.18 | |||||
Sweden * Weaning age | Ref. | Ref. |
LOG log transformation. Light gray values in the univariable model indicate that these factors were not significant (p < 0.20) in the univariable model. In the multivariable model p-values which are significant with p < 0.05 are black and bold, 0.05 < p < 0.10 are black and p > 0.10 are light gray. Significant interactions are listed where applicable. All models were corrected for the country effect by adding country in the model as a fixed variable. Only relevant variables are listed