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Table 3 Multivariable linear regression modelling of herd productive performancea

From: Using the Biocheck.UGent™ scoring tool in Irish farrow-to-finish pig farms: assessing biosecurity and its relation to productive performance

Outcome Predictor Estimate SE P-value
Piglet mortality, % Intercept 12.04 1.334 < 0.001
 Adjusted R2 = 0.08 Age of the youngest building, years 0.13 0.066 0.067
P = 0.039 Score for feed, water, and equipment supply −0.04 0.023 0.079
Finisher mortality, % Intercept 1.50 0.683 0.032
 Adjusted R2 = 0.23 No. of sows [per 100 sows] 0.8 0.21 < 0.001
P = 0.002 Score for disease management −0.01 0.006 0.028
Score for environment and region 0.01 0.005 0.059
Score for nursery unit management 0.02 0.008 0.050
Score for measures between compartments and use of equipment −0.01 0.008 0.126
ADG, g/day Intercept 706.27 37.734 < 0.001
 Adjusted R2 = 0.16 No. of sows −0.03 0.0133 0.043
P = 0.006 Experience of farm manager, years −1.65 0.734 0.029
Score for disease management 0.73 0.343 0.039
  1. aEach productive performance indicator (piglet mortality (%), finisher mortality (%), number of pigs per sow per year, ADG (g/day), and FCR) was modelled from herd characteristics and biosecurity scores (categories), presented in Tables 1 and 2, respectively. The table presents the final models after a forward regression approach with a cut-off value of 0.15 for predictor retention. The models fitting the number of pigs per sow per year and FCR were not significant (overall F-test with P = 0.067 and P = 0.075, respectively)