Fig. 1
Outlier detection on pen level by analyzing root mean squared error of weight (RMSEweight). a Histogram of RMSEweight in function of age on a pen level before quality control. Pens with high RMSEweight estimates were visually inspected for (technical) errors. b Example of a pen with no severe outlying weights at the pen level, although some individual weight recordings are outlying. Weight evolution of individual pigs are represented with a specific color. c Example of a pen with outlying weights at start of trajectory. Such outliers are often due to an adaptation phase of the pigs, i.e., upon entering the automated feeding station, pigs tend to enter the station with their penmates, inflating the daily weight estimates. Weight evolution of individual pigs are represented with a specific color. d Example of technical issues causing outlying weights and high RMSEweights. In these cases, outliers were set to missing, or outlying individuals were removed from the dataset. Weight evolution of individual pigs are represented with a specific color