As a result, pork and fat of pigs showed only low iodine accumulation even in the high-iodine groups. Thus, there should be no risk of an iodine excess in human nutrition and animal health, and the EU-upper level for iodine in pig feed can be maintained.

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Maternal breeds for sows have been bred for high prolificacy during recent decades. Although large litters may be beneficial for economic efficiency, pre-weaning mortality is increased. Thus, focus should instead be put on new traits such as piglet vitality (PV). Until now, no validated scoring scheme for piglet vitality exists, which is feasible to be applied for routine on-farm trait recording. The objective of this study was to validate a four-point vitality scoring scheme (1 = low vitality to 4 = high vitality) applied by farmers based on pre-weaning mortality and to estimate genetic parameters. A linear mixed model was fitted for piglet vitality for 3172 litters from Large White and Landrace sows on 23 farms and correlations were calculated for vitality score and piglet mortality. A subsample of 2900 records was used for genetic analysis. Pre-weaning mortality differed significantly between all vitality score categories except for 1 and 2, ranging between 7.98% (category 4) and 29.1% (category 1). PV was genetically negatively correlated to litter size (−0.68) and mortality rate (−0.65), whereas litter size was positively correlated with mortality rate (0.59). Including PV into breeding programs may, thus, improve animal welfare.

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Selection for feet and leg traits can increase longevity as well as several performance traits in sows. Moreover, good feet and leg quality contributes improving animal welfare not only for sows, but also for piglets. Sows with feet and leg problems have a higher risk of crushing their piglets when lying down. Therefore, a feet and leg scoring scheme was derived and applied by trained assessors. Furthermore, piglet mortality rate by crushing was recorded. Genetic parameters as well as breeding values were estimated and the effect of the traits on piglet mortality rate by crushing was investigated. Data of 993 Large White and 299 Landrace sows of 23 nucleus farms were analyzed. Heritabilities ranged from 0.03 to 0.16 for piglet mortality rate by crushing and pastern fore legs. Some genetic correlations between feet and leg traits were significantly highly correlated (0.69 to 0.79). Sows with favorable scores for almost all feet and leg scores had higher estimated breeding values for piglet mortality rate. Higher values indicate less crushed piglets and are thus favorable. An introduction of a feet and leg scoring scheme into routine genetic evaluation may thus contribute to animal welfare improvement for sows and piglets.

Due to economic and animal welfare related issues, the Austrian pig breeding organisations revised their breeding programs. Members of breeding organisations, breeders and academic staff were involved in a participatory process from the beginning. In several meetings and workshops, 11 new fitness traits regarding maternal abilities and piglet vitality were gathered. Therefore, breeders were asked to propose important traits regarding the sow maternal ability as well as piglet vitality. Calm behaviour, milk performance and conformation were mentioned as the most important traits for the sow and suckling behaviour, high birth weight and growth rate for the piglet, respectively. Prior to routine trait recording, feasibility of trait recording was tested under practical conditions. Subsequently, breeders were trained to record the fitness traits on their farms. It has to be emphasised that farmers were highly motivated to record traits comprehensively due to their participation during the process of defining the revised breeding goals. This motivation was also reflected in good data quality.

Gastric ulcerations in finishing pigs can cause growth restriction, sudden death and contamination of the carcass by invading microorganisms. The aim of the study was to compare macroscopic and histological findings of the stomach mucosa in fattening pigs kept at 1m²/pig and provided with long straw (10 groups, 113 pigs) with a control group kept at 0.7m²/pig without straw (11 groups, 120 pigs). At slaughter, the gastric health of pigs was assessed by macroscopic and histological scoring of 233 stomachs ranging from 0 (no alteration of mucosa) to 3 (ulceration). Gastric scores were correlated with organ alterations, carcass lesions and blood parameters. Based onto histological findings after gold standard sensitivity and specificity of macroscopic findings for ulceration (score 3) were 53 % and 98 %, respectively. While the extent of mucosal alterations can be assessed by macroscopic scoring easily at slaughter, histological examination reveals the depth of alterations. Median group prevalences of gastric ulcerations diagnosed by macroscopic examination were 5 % in the control group (range 0-40 %) and 18 % in the straw group (range 0-50 %), with no significant difference between both groups. Macroscopic scores were significantly higher in the straw group. Prevalence of ear-tip lesions was positively correlated with gastric health (p < 0.05). Analysis of particle size distribution in feed revealed, that more than 50 % of the feed consist of particles with less than 0.5 mm in diameter. The fine-ground diet in this herd was therefore identified as an important risk factor for the development of gastric ulceration on this farm. As a conclusion, the known risk factor of a high proportion of small particles in diet was not compensated by possible positive effects of straw and more space, and should be eliminated with high priority.

This study aimed to develop a tool to detect mildly lame cows by combining already existing data from sensors, AMSs, and routinely recorded animal and farm data. For this purpose, ten dairy farms were visited every 30–42 days from January 2020 to May 2021. Locomotion scores (LCS, from one for nonlame to five for severely lame) and body condition scores (BCS) were assessed at each visit, resulting in a total of 594 recorded animals. A questionnaire about farm management and husbandry was completed for the inclusion of potential risk factors. A lameness incidence risk (LCS ≥ 2) was calculated and varied widely between farms with a range from 27.07 to 65.52%. Moreover, the impact of lameness on the derived sensor parameters was inspected and showed no significant impact of lameness on total rumination time. Behavioral patterns for eating, low activity, and medium activity differed significantly in lame cows compared to nonlame cows. Finally, random forest models for lameness detection were fit by including different combinations of influencing variables. The results of these models were compared according to accuracy, sensitivity, and specificity. The best performing model achieved an accuracy of 0.75 with a sensitivity of 0.72 and specificity of 0.78. These approaches with routinely available data and sensor data can deliver promising results for early lameness detection in dairy cattle. While experimental automated lameness detection systems have achieved improved predictive results, the benefit of this presented approach is that it uses results from existing, routinely recorded, and therefore widely available data.