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Heterophil to lymphocyte ratio, plasma corticosterone and tonic immobility test, plumage and leg score (Food Pad Dermatitis, FPD) are frequently used as indicators of welfare in chickens. Three traditional Italian chicken breeds (60 birds/group) were studied: Valdarnese Bianca (VB), Bionda Piemontese (BP) and Robusta Maculata (RM). At 80 days of age, reactivity was tested through Tonic Immobility (TI) and plumage and leg score tests. Immediately after phenotypical and behavioural tests, the blood samples were collected from the ulnar vein of chickens. TI duration was not significant among the breeds (VB 72.2 ± 8.3 s; BP 95.2 ± 9.0 s; RM 76.5 ± 8.6 s; mean ± SEM). RM and BP needed a mean number of induction significantly higher than VB (RM ¼ 1.84 ± 0.1; BP ¼ 1.96 ± 0.1; VB ¼ 1.38 ± 0.1; p < 0.0001). The highest corticosterone mean concentration (3.4 ± 0.23 ng/mL) was found in the VB breed, whereas the lowest (1.71 ± 0.21 ng/mL) was found in BP birds. The heterophil to lymphocyte (H/L) ratio was significantly (p < 0.0001) higher in the VB breed (0.86 ± 0.03) than BP (0.78 ± 0.02) and RM (0.75 ± 0.03). In all birds neither plumage damages nor FPD were found. In conclusion, the three breeds showed the typical reactivity of rural breeds adapted to alternative and organic rearing systems; the anti-predatory response, the plasma corticosterone concentration and the H/L ratio could be considered a positive adaptation indicator. ARTICLE HISTORY

This Research Paper aimed to investigate donkey welfare in dairy husbandry systems and to identify the potential factors affecting it at animal level. In 2015, twelve dairy donkey farms (19–170 donkeys per farm, mean = 55 ± 48), distributed throughout Italy, were visited. On each farm, the Animal Welfare Indicators (AWIN) welfare assessment protocol for donkeys was used by two trained assessors to evaluate the welfare of animals for a total of 257 donkeys assessed. The protocol includes animal-based indicators that were entered in a digitalised system. Prevalence of different scores at individual, farm and category level were calculated. Farmers were asked to fill out a questionnaire including information regarding the management of donkeys and their final destination. Answers to the questionnaire were then considered as effects in the risk factor analysis whereas the scores of the animal-based indicators were considered as response variables. Most of the donkeys (80·2%) enjoyed a good nutritional status (BCS = 3). 18·7% of donkeys showed signs of hoof neglect such as overgrowth and/or incorrect trimming (Min = 0% Max = 54·5%). Belonging to a given farm or production group influenced many of the welfare indicators. The absence of pasture affected the likelihood of having skin lesions, alopecia, low BCS scores and a less positive emotional state. Lack of routine veterinary visits (P< 0·001) and having neglected hooves (P< 0·001) affected the likelihood of being thin (BCS < 3). Belonging to specific production groups, lack of access to pasture and showing an avoidance reaction to an approaching human (AD) resulted in risk factors associated with a higher prevalence of signs of hoof neglect. Our results support the idea that lack of knowledge of proper donkey care among owners was behind many welfare issues found.

Welfare of animals significantly depends on how stakeholders perceive their needs and behave in a way to favor production systems that promote better welfare outcomes. This study aimed at investigating stakeholders’ perception of the welfare of equines, small ruminants, and turkeys using text mining analysis. A survey composed by open-ended questions referring to different aspects of animal welfare was carried out. Text mining analysis was performed. A total of 270 surveys were filled out (horses = 122, sheep = 81, goats = 36, turkeys = 18, donkeys = 13). The respondents (41% veterinarians) came from 32 different countries. To describe welfare requirements, the words “feeding” and “water” were the most frequently used in all the species, meaning that respondents considered the welfare principle “good feeding” as the most relevant. The word “environment” was considered particularly important for turkeys, as well as the word “dry”, never mentioned for other species. Horses stakeholders also considered “exercise” and “proper training” important. Goat stakeholders’ concerns are often expressed by the word “space”, probably because goats are often intensively managed in industrialized countries. Although the sample was too small to be representative, text mining analysis seems to be a promising method to investigate stakeholders’ perception of animal welfare, as it emphasizes their real perception, without the constraints deriving by close-ended questions.