Fig. 5
Example of trait construction for two pigs (a–d versus e–h). The upper pig (a–d) showed little deviations in observed versus expected body weight, whereas the lower pig (e–h) showed many deviations in observed versus expected body weight. These examples are the same animals as shown in Fig. 6. a and e Example of Gompertz growth curve modelling on automated feeding station data of individual pigs. The Gompertz growth curve is shown as a solid red line, observed daily weights are given as black dots. b and f Deviations of observed versus predicted weights after Gompertz modeling: lnvarweight, lag1weight and skewweight are estimated based on these deviations. c and g Example of standardized weights with mean zero and standard deviation one for the population on a daily basis. The variance of these standardized weights for an individual was used to calculate lnvarweight_standardized. d and h Trajectory analysis of weight. Here, weight gain/loss is seen as a trajectory from start until end, with age in d as x-coordinate and weight as y-coordinate. From this trajectory, mean speed and straightness were calculated as resilience traits