This study examined variation in the welfare of extensively managed ewes and potential welfare risks. A total of 100 Merino ewes (aged 2–4 years) were individually identified and examined at three key stages: pregnancy, lactation and weaning. Eight animal-based welfare measures were used to assess welfare: flight distance, body condition score (BCS), fleece condition, skin lesions, tail length, dag score, lameness and mastitis. Data were analysed by ANOVA and McNemar’s statistics. Overall, the average BCS of the group was in agreement with industry recommendations. However, a number of animals were classified with inadequate condition (either too thin or too fat) across the three observation periods. The presence of heavy dags was greatest at mid-lactation (87%, P < 0.0001), lameness was greatest at weaning (14%, P = 0.01), clinical mastitis was 1% annually, and five ewes were lost from the study. Ewes had better health at mid-pregnancy compared to mid-lactation and weaning. The main welfare issues identified were under and over feeding, ewe mortality, lameness, ecto-parasites (flystrike) and mastitis, all of which have the potential to be reduced with improved management practices. Future welfare assessment programs must consider that significant variation in on-farm welfare will occur in extensively managed systems and this needs to be accounted for when evaluating farms.

This review describes the current state of knowledge relating to scientific literature on welfare indicators for goats. Our aim was to provide an overview of animal-based indicators for on-farm welfare assessments. We performed a literature search and extracted 96 relevant articles by title, abstract, and full-text screening. Out of these articles, similar indicators were aggregated to result in a total of 32 welfare indicators, some of which were covered in multiple articles, others in only a single one. We discuss a set of three established assessment protocols containing these indicators, as well as all individual indicators which were covered in more than one article. As single indicators, we identified lameness, body condition score (BCS), qualitative behaviour assessment (QBA), and human–animal relationship (HAR) tests with substantial evidence for sufficient validity to assess welfare in goats. A multitude of indicators (e.g., hair coat condition) was studied less intensively but was successfully used for welfare assessments. For some indicators (e.g., oblivion, lying behaviour), we highlight the need for future research to further validate them or to optimise their use in on-farm welfare assessments. Moreover, further investigations need to include kids, bucks, and meat and fibre goats, as well as extensively kept goats as the literature predominantly focuses on dairy goats in intensive production systems.

The reliability and feasibility of 10 animal-based measures of ewe welfare were examined for use in extensive sheep production systems. Measures were: Body condition score (BCS), rumen fill, fleece cleanliness, fleece condition, skin lesions, tail length, dag score, foot-wall integrity, hoof overgrowth and lameness, and all were examined on 100 Merino ewes (aged 2–4 years) during mid-pregnancy, mid-lactation and weaning by a pool of nine trained observers. The measures of BCS, fleece condition, skin lesions, tail length, dag score and lameness were deemed to be reliable and feasible. All had good observer agreement, as determined by the percentage of agreement, Kendall’s coefficient of concordance (W) and Kappa (k) values. When combined, these nutritional and health measures provide a snapshot of the current welfare status of ewes, as well as evidencing previous or potential welfare issues.

The reliability and feasibility of 10 animal-based measures of ewe welfare were examined for use in extensive sheep production systems. Measures were: Body condition score (BCS), rumen fill, fleece cleanliness, fleece condition, skin lesions, tail length, dag score, foot-wall integrity, hoof overgrowth and lameness, and all were examined on 100 Merino ewes (aged 2–4 years) during mid-pregnancy, mid-lactation and weaning by a pool of nine trained observers. The measures of BCS, fleece condition, skin lesions, tail length, dag score and lameness were deemed to be reliable and feasible. All had good observer agreement, as determined by the percentage of agreement, Kendall’s coefficient of concordance (W) and Kappa (k) values. When combined, these nutritional and health measures provide a snapshot of the current welfare status of ewes, as well as evidencing previous or potential welfare issues.

The main aim is to evaluate economicviability level of different types of farming inVojvodina based on key productivityindicators. Analysis was based on FADNdata for 2020, whereby farms were dividedinto seven basic groups according to type offarming. Average farm size in Vojvodinawas 21.4 ha, which was significantly morethan Republic of Serbia (6.1 ha). Researchhas shown that labour productivity was thehighest in more intensive types of farming:horticulture and vegetables, vineyards andfruits, granivores, and the lowestproductivity was recorded on farms involvedin livestock production (grazing livestock).Land productivity was the highest inhorticulture and vegetables and the lowestalso in grazing livestock. Consideredproductivity indicators pointed out thathigher level of economic viability reachfarms with more intensive production. Infurther research, next to productivityindicators, focus should be on profitability,liquidity and stability indicators. Also,continuously work on FADN data qualityimprovement is of great importance.

This study was conducted within the context of the Animal Welfare Indicators (AWIN) project and the underlying scientific motivation for the development of the study was the scarcity of data regarding inter-observer reliability (IOR) of welfare indicators, particularly given the importance of reliability as a further step for developing on-farm welfare assessment protocols. The objective of this study is therefore to evaluate IOR of animal-based indicators (at group and individual-level) of the AWIN welfare assessment protocol (prototype) for dairy goats. In the design of the study, two pairs of observers, one in Portugal and another in Italy, visited 10 farms each and applied the AWIN prototype protocol. Farms in both countries were visited between January and March 2014, and all the observers received the same training before the farm visits were initiated. Data collected during farm visits, and analysed in this study, include group-level and individual-level observations. The results of our study allow us to conclude that most of the group-level indicators presented the highest IOR level (‘substantial’, 0.85 to 0.99) in both field studies, pointing to a usable set of animal-based welfare indicators that were therefore included in the first level of the final AWIN welfare assessment protocol for dairy goats. Inter-observer reliability of individual-level indicators was lower, but the majority of them still reached ‘fair to good’ (0.41 to 0.75) and ‘excellent’ (0.76 to 1) levels. In the paper we explore reasons for the differences found in IOR between the group and individual-level indicators, including how the number of individual-level indicators to be assessed on each animal and the restraining method may have affected the results. Furthermore, we discuss the differences found in the IOR of individual-level indicators in both countries: the Portuguese pair of observers reached a higher level of IOR, when compared with the Italian observers. We argue how the reasons behind these differences may stem from the restraining method applied, or the different background and experience of the observers. Finally, the discussion of the results emphasizes the importance of considering that reliability is not an absolute attribute of an indicator, but derives from an interaction between the indicators, the observers and the situation in which the assessment is taking place. This highlights the importance of further considering the indicators’ reliability while developing welfare assessment protocols.

Accurate and reliable on-farm protocols are essential in sheep welfare evaluation. However, protocols with a high number of measures are demanding in terms of time. The aim of this trial was to use a few already validated, reliable, feasible, rapid and non-invasive animal-based indicators to evaluate and compare welfare on dairy and mixed purpose sheep farms. Indicators included prevalence of leanness, fleece condition, fleece cleanliness, skin lesions, tail docking, lameness, hoof overgrowth and mastitis. Farmers were asked to rank the relevance of the animal welfare indicators. Nine farms with dairy and nine farms with dual-purpose breeds were tested. The relevance given by eighteen farmers was affected by the type of indicators. Farmers scored mastitis as the most relevant welfare indicator, followed by leanness and lameness. The least relevant indicator was docked tail. The prevalence of poor fleece condition was lower in dairy sheep, whereas dual-purpose farms had higher prevalences of tail-docked animals. Farms showing a higher prevalence of skin lesions had animals with lower body condition and higher longevity. Hoof overgrowth was positively correlated with fleece dirtiness. No differences between dairy and dual-purpose farms were found in terms of the final score, which ranged from 33 (best welfare score) to 187 (worst welfare score). The final score was highly variable among farms. Identification of indicators showing higher prevalences allow the farmers to identify the main areas for intervention at farm level.

This critical review covers the advances made using the 4-bora-3a,4a-diaza-s-indacene (BODIPY) scaffold as a fluorophore in the design, synthesis and application of fluorescent indicators for pH, metal ions, anions, biomolecules, reactive oxygen species, reactive nitrogen species, redox potential, chemical reactions and various physical phenomena. The sections of the review describing the criteria for rational design of fluorescent indicators and the mathematical expressions for analyzing spectrophotometric and fluorometric titrations are applicable to all fluorescent probes (206 references).

Despite its importance little is known about the attitudes of different stakeholder categories towards issues that impact the welfare of sheep. This study determined the relevance attributed by various stakeholders to different sheep welfare indicators and assessed which demographic characteristics can influence their scores. Data were collected through a questionnaire presented on paper face-to-face to 15 sheep farmers in Italy during farm visits in June and July 2020 and the same questionnaire was transferred online to a Google Form and an announcement was sent by email and on social platforms to consumers, with a total of 311 respondents completed the questionnaire. The survey was composed of two parts. In the first part respondents were asked to declare their demographic characteristics. In the second part they rated the relevance attributed to eleven indicators of sheep welfare (eight animal-based: leanness, fleece condition, fleece cleanliness, skin lesions, tail docking, lameness, hoof overgrowth, occurrence of mastitis; and three resource-based: insufficient clean drinking water availability, thermal discomfort, access to pasture) using a ten-point Likert scale. An ordinal logistic regression descending function with stepwise selection was used to analyze the effects within demographic data and the distribution of the Likert scale for each indicator. The number of respondents (n = 311) was quite small, nevertheless, the differences that are reported give some guidance on the relative importance accorded to each of these groups of stakeholders to each of the welfare indicators. Female respondents gave higher relevance to most of the indicators compared with male respondents (P<0.05), whereas respondents with a lower education level gave more relevance to four out of the eleven welfare indicators compared with stakeholders with a higher education level (P<0.05). As for respondent categories, non-farmer experts attributed more relevance to lameness, whereas farmers gave a lower relevance to tail docking, while expressing a higher level of concern for leanness compared with the other categories (P<0.05). Finally, more frequent consumers of sheep products considered leanness to be most important (P<0.05). No significant difference was found based on the nationality or the work declared. This study provides information about how different stakeholder categories perceive different aspects of sheep welfare and whether this perception is affected by demographic characteristics, thus promoting informed dialogue between society and the scientific community about the relevance to be attributed to different sheep welfare indicators.