This paper reviews animal-based welfare indicators to develop a valid, reliable, and feasible on-farm welfare assessment protocol for dairy goats. The indicators were considered in the light of the 4 accepted principles (good feeding, good housing, good health, appropriate behavior) subdivided into 12 criteria developed by the European Welfare Quality program. We will only examine the practical indicators to be used on-farm, excluding those requiring the use of specific instruments or laboratory analysis and those that are recorded at the slaughterhouse. Body condition score, hair coat condition, and queuing at the feed barrier or at the drinker seem the most promising indicators for the assessment of the "good feeding" principle. As to "good housing," some indicators were considered promising for assessing "comfort around resting" (e.g., resting in contact with a wall) or "thermal comfort" (e.g., panting score for the detection of heat stress and shivering score for the detection of cold stress). Several indicators related to "good health," such as lameness, claw overgrowth, presence of external abscesses, and hair coat condition, were identified. As to the "appropriate behavior" principle, different criteria have been identified: agonistic behavior is largely used as the "expression of social behavior" criterion, but it is often not feasible for on-farm assessment. Latency to first contact and the avoidance distance test can be used as criteria for assessing the quality of the human-animal relationship. Qualitative behavior assessment seems to be a promising indicator for addressing the "positive emotional state" criterion. Promising indicators were identified for most of the considered criteria; however, no valid indicator has been identified for "expression of other behaviors." Interobserver reliability has rarely been assessed and warrants further attention; in contrast, short-term intraobserver reliability is frequently assessed and some studies consider mid- and long-term reliability. The feasibility of most of the reviewed indicators in commercial farms still needs to be carefully evaluated, as several studies were performed under experimental conditions. Our review highlights some aspects of goat welfare that have been widely studied, but some indicators need to be investigated further and drafted before being included in a valid, reliable, and feasible welfare assessment protocol. The indicators selected and examined may be an invaluable starting point for the development of an on-farm welfare assessment protocol for dairy goats.

This study reports the results of the first investigation on the use of Qualitative Behaviour Assessment (QBA) in dairy goats, using a fixed-list of descriptors specifically developed for this species. It aimed to verify whether QBA can be reliably used by observers with different backgrounds to differentiate between the emotional states of goats kept under different environmental conditions. Two trained observers simultaneously assessed 16 dairy goat farms (8 "Housed" (H) farms, where animals were observed in free stall pens, and 8 "Pasture" (P) farms, where animals were observed in open ranges), using a list of 16 QBA descriptors that were based on literature studies and discussed within a focus group of goat experts. One H farm was removed from analysis due to procedural error. The QBA scores were analysed together using Principal Component Analysis (PCA, correlation matrix, no rotation). Observer agreement for farm scores on PCA Components (PCs) and on separate QBA terms was investigated using Pearson and Spearman correlations respectively. The effects of housing system and observer on PC scores were analysed using analysis of variance (treatments = observer, housing system, and their interaction; block = farm). PCA identified three main components explaining 60.87% of the total variation between goat farms: PC1 (29.

Score 1Presence of residual horns (scurs) on the head of adult goats that have been disbudded when kids.The total number of goats in the pen presenting these conditions is recorded. Queuing (AWIN, 2015)At feeding A goat is queuing if it is standing within 0.5 m behind another goat that is feeding/ drinking, with the head oriented towards the feed barrier/ water place. At drinkingHair coat condition (AWIN, 2015; Battini et al., 2015a) Poor hair coatThe hair coat is matted, rough, scurfy, uneven, shaggy hair coat, frequently longer than normal. Oblivion (AWIN, 2015)An oblivious goat seems physically or/and mentally isolated compared to the rest of the group, frequently facing the wall or other parts of the housing structure, sometimes with ears down. Abnormal lying (Mattiello et al., 2015)

The AWIN project aimed at developing an on-farm welfare assessment protocol for adult dairy goats. A prototype protocol was tested in 30 intensive dairy goat farms to evaluate its feasibility in farms of different size. Time for applying the prototype was recorded and any other constraint was taken into account. Moreover, data collected during the prototype testing provided information on the prevalence of welfare issues in intensive dairy goat farms in Northern Italy. The prototype included 25 animal-based indicators (14 group-and 11 individual-level indicators). The prototype showed a good on-farm feasibility and it was highly accepted among stakeholders, as its application did not interfere with the daily routine. Approximately 2 h were required for the application of the prototype. When feeding racks were available, using them for locking the animals during the individual assessment resulted advantageous to speed the data collection and to reduce handling stress to the goats and disturbance to the farmers. Farm size and different management systems influenced the prevalence of some indicators, with small farms in general better welfare conditions compared to larger farms. The results of the present study represent an important starting point to set up an epidemiological database that may lead to improve the welfare status of goats. ARTICLE HISTORY

Simple SummaryThe Animal Welfare Indicators (AWIN) project developed a practical welfare assessment protocol for lactating dairy goats in intensive husbandry systems, using animal-based indicators that cover the whole multidimensional concept of animal welfare. The strict collaboration between scientists and stakeholders resulted in an easy-to-use protocol that provides farmers or veterinarians with comprehensive but clear feedback on the welfare status of the herd in less than three hours. The protocol, which highlights key points and motivates farmers to achieve improvements, has received much attention from interested parties.AbstractWithin the European AWIN project, a protocol for assessing dairy goats’ welfare on the farm was developed. Starting from a literature review, a prototype including animal-based indicators covering four welfare principles and 12 welfare criteria was set up. The prototype was tested in 60 farms for validity, reliability, and feasibility. After testing the prototype, a two-level assessment protocol was proposed in order to increase acceptability among stakeholders. The first level offers a more general overview of the welfare status, based on group assessment of a few indicators (e.g., hair coat condition, latency to the first contact test, severe lameness, Qualitative Behavior Assessment), with no or minimal handling of goats and short assessment time required. The second level starts if welfare problems are encountered in the first level and adds a comprehensive and detailed individual evaluation (e.g., Body Condition Score, udder asymmetry, overgrown claws), supported by an effective sampling strategy. The assessment can be carried out using the AWIN Goat app. The app results in a clear visual output, which provides positive feedback on welfare conditions in comparison with a benchmark of a reference population. The protocol may be a valuable tool for both veterinarians and technicians and a self-assessment instrument for farmers.

Simple SummaryThe concern for better farm animal welfare has been greatly increasing among scientists, veterinarians, farmers, consumers, and the general public over many years. As a consequence, several indicators have been developed to assess animal welfare, and several specific protocols have been proposed for welfare evaluation. Most of the indicators developed so far focus on the negative aspects of animal welfare (e.g., lameness, lesions, diseases, presence of abnormal behaviours, high levels of stress hormones, and many more). However, the lack of negative welfare conditions does not necessarily mean that animals are in good welfare and have a good quality of life. To guarantee high welfare standards, animals should experience positive conditions that allow them to live a life that is really worth living. We reviewed the existing indicators of positive welfare for farmed ruminants and identified some gaps that still require work, especially in the domains of Nutrition and Health, and the need for further refinement of some of the existing indicators.AbstractUntil now, most research has focused on the development of indicators of negative welfare, and relatively few studies provide information on valid, reliable, and feasible indicators addressing positive aspects of animal welfare. However, a lack of suffering does not guarantee that animals are experiencing a positive welfare state. The aim of the present review is to identify promising valid and reliable animal-based indicators for the assessment of positive welfare that might be included in welfare assessment protocols for ruminants, and to discuss them in the light of the five domains model, highlighting possible gaps to be filled by future research. Based on the existing literature in the main databases, each indicator was evaluated in terms of its validity, reliability, and on-farm feasibility. Some valid indicators were identified, but a lot of the validity evidence is based on their absence when a negative situation is present; furthermore, only a few indicators are available in the domains of Nutrition and Health. Reliability has been seldom addressed. On-farm feasibility could be increased by developing specific sampling strategies and/or relying on the use of video- or automatic-recording devices. In conclusion, several indicators are potentially available (e.g., synchronisation of lying and feeding, coat or fleece condition, qualitative behaviour assessment), but further research is required.

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This investigation tested the feasibility and validity of indicators of cold and heat stress in dairy goats for on-farm welfare assessment protocols. The study was performed on two intensive dairy farms in Italy. Two different 3-point scale (0-2) scoring systems were applied to assess cold and heat stress. Cold and heat stress scores were visually assessed from outside the pen in the morning, afternoon and evening in January-February, April-May and July 2013 for a total of nine sessions of observations/farm. Temperature (°C), relative humidity (%) and wind speed (km/h) were recorded and Thermal Heat Index (THI) was calculated. The sessions were allocated to three climatic seasons, depending on THI ranges: cold (<50), neutral (50-65) and hot (>65). Score 2 was rarely assessed; therefore, scores 1 and 2 were aggregated for statistical analysis. The amount of goats suffering from cold stress was significantly higher in the cold season than in neutral (P < 0.01) and hot (P < 0.001) seasons. Signs of heat stress were recorded only in the hot season (P < 0.001). The visual assessment from outside the pen confirms the on-farm feasibility of both indicators: No constraint was found and time required was less than 10 min. Our results show that cold and heat stress scores are valid indicators to detect thermal stress in intensively managed dairy goats. The use of a binary scoring system (presence/absence), merging scores 1 and 2, may be a further refinement to improve the feasibility. This study also allows the prediction of optimal ranges of THI for dairy goat breeds in intensive husbandry systems, setting a comfort zone included into 55 and 70.