Gudrun Illmann

Calling by Domestic Piglets during Simulated Crushing and Isolation: A Signal of Need?

This study examined whether piglet distress vocalizations vary with age, body weight and health status, according to the predictions of the honest signalling of need evolutionary model. Vocalizations were recorded during manual squeezing (a simulation of being crushed by mother sow) and during isolation on Days 1 and 7 after birth in piglets from 15 litters. We predicted that during squeezing, younger, lighter and sick piglets would call more intensely because they are in higher risk of dying during crushing and therefore they benefit more from the sow’s reaction to intensive vocalization. For isolation, we predicted that lighter and younger piglets would call more because they are more vulnerable to adverse effects of the separation. Calls were analyzed in their time and frequency domain. The rate of calling, call duration, proportion of high-pitched calls and eight acoustic parameters characterizing frequency distribution and tonality were used as indicators of acoustic signalling intensity. Piglets that experienced “squeezing” on Day 1 produced more intense acoustic distress signalling than on Day 7. Lighter piglets called more during squeezing than heavier piglets. Health status did not significantly affect any of the indicators of intensity of vocalization during squeezing. In isolation, none of the parameters of vocalization intensity were affected either by the age or by the weight of the piglets. In summary, the model of honest signalling of need was confirmed in the squeezed situation, but not in the isolation situation.

PigSurfer – SURveillance, FEedback & Reporting within ProPIG for communication with 75 pig farmers

The CoreOrganic2 research project ProPIG is carried out in 75 organic pig farms in 8 European countries (AT; CH; CZ; DE; DK; FR; IT; UK) to improve animal health, welfare and nutrition using farm customised strategies. For future on-farm application (e.g. advisory/certification activities, which are mostly carried out during one day visits), a practical, automatic recording and feedback tool was developed. This should allow on-farm data collection, import of data into a database and the possibility for benchmarking, including a printed output for the farmer to facilitate immediate discussion of results and improvement strategies. To document not only animal health and welfare, but also integrate diet composition and productivity data, it was important to choose key indicators from all areas, which would be available across all eight countries. Based on existing on-farm welfare assessment protocols (e.g. WelfareQuality®, CorePIG) indicators were selected by the consortium, which were then transferred into a Software programme (“PigSurfer”). This Software is available as Desktop- or Android version to be used on Tablet PCs, so that on-farm data (interview with farmer; direct observations on weaners, finishers, sows; productivity and treatment records; feed) can be entered directly. During two visits a database was built and a “Farm report” was printed for each farm, with benchmarking of results, feedback and discussion with the farmer. After a year, “PigSurfer” was used to carry out the following complete process during one day visits across Europe: Surveillance of health and welfare, feedback of data in comparison with results from the previous year as well as benchmarking with 75 other pig farms and printing a report. “PigSurfer” is a promising tool for communicating health and welfare, as it provides not only a database, which can be continuously extended, but is an important step to move from research to on-farm application across Europe.