Assessment of the multi-criteria evaluation system of the Welfare Quality® protocol for growing pigs

Are biters sick? Health status of tail biters in comparison to control pigs

BACKGROUND

Tail biting is a multifactorial problem. As the health status is one of the factors commonly linked to tail biting, this study focuses on the health of identified biters. 30 (obsessive) biters are compared to 30 control animals by clinical and pathological examination as well as blood and cerebrospinal fluid samples. In that way, altogether 174 variables are compared between the groups. Moreover, connections between the variables are analysed.

RESULTS

In the clinical examination, 6 biters, but only 2 controls (P = 0.019) were noticeably agitated in the evaluation of general behaviour, while 8 controls were noticeably calmer (2 biters, P = 0.02). Biters had a lower body weight (P = 0.0007) and 13 biters had overlong bristles (4 controls, P = 0.008). In the pathological examination, 5 biters, but none of the controls had a hyperceratosis or inflammation of the pars proventricularis of the stomach (P = 0.018). However, 7 controls and only 3 biters were affected by gut inflammation (P = 0.03). In the blood sample, protein and albumin levels were below normal range for biters (protein: 51.6 g/l, albumin: 25.4 g/l), but not for controls (protein: 53.7 g/l, albumin: 27.4 g/l), (protein: P = 0.05, albumin: P = 0.02). Moreover, 14 biters, but only 8 controls had poikilocytosis (P = 0.05). Although not statistically different between groups, many animals (36/60) were affected by hypoproteinemia and hyponatremia as well as by hypokalemia (53/60) and almost all animals (58/60) had hypomagnesemia. For hypomagnesemia, significant connections with variables linked to tail damage and ear necrosis were detected (rs/V/ρ ≥ 0.4, P ≤ 0.05).

CONCLUSION

The results suggest that behavioural tests might be helpful in identifying biters. Moreover, cornification and inflammation of the pars proventricularis is linked to becoming a biter. Furthermore, the results highlight the need for appropriate and adjusted nutrient and mineral supply, especially with regard to magnesium.

Identifying Early Indicators of Tail Biting in Pigs by Variable Selection Using Partial Least Squares Regression

This study examined relevant variables for predicting the prevalence of pigs with a tail lesion in rearing (REA) and fattening (FAT). Tail lesions were recorded at two scoring days a week in six pens in both REA (10 batches, 840 scoring days) and FAT (5 batches, 624 scoring days). To select the variables that best explain the variation within the prevalence of pigs with a tail lesion, partial least squares regression models were used with the variable importance in projection (VIP) and regression coefficients (β) as selection criteria. In REA, five factors were extracted explaining 60.6% of the dependent variable's variance, whereas in FAT five extracted factors explained 62.4% of the dependent variable's variance. According to VIP and β, seven variables were selected in REA and six in FAT with the tail posture being the most important variable. In addition, skin lesions, treatment index in the suckling phase, water consumption (mean), activity time (mean; CV) and exhaust air rate (CV) were selected in REA. In FAT, additional musculoskeletal system issues, activity time (mean; CV) and exhaust air rate (mean; CV) were selected according to VIP and β. The selected variables indicate which variables should be collected in the stable to e.g., predict tail biting.

Precision Technologies to Address Dairy Cattle Welfare: Focus on Lameness, Mastitis and Body Condition

Specific animal-based indicators that can be used to predict animal welfare have been the core of protocols for assessing the welfare of farm animals, such as those produced by the Welfare Quality project. At the same time, the contribution of technological tools for the accurate and real-time assessment of farm animal welfare is also evident. The solutions based on technological tools fit into the precision livestock farming (PLF) concept, which has improved productivity, economic sustainability, and animal welfare in dairy farms. PLF has been adopted recently; nevertheless, the need for technological support on farms is getting more and more attention and has translated into significant scientific contributions in various fields of the dairy industry, but with an emphasis on the health and welfare of the cows. This review aims to present the recent advances of PLF in dairy cow welfare, particularly in the assessment of lameness, mastitis, and body condition, which are among the most relevant animal-based indications for the welfare of cows. Finally, a discussion is presented on the possibility of integrating the information obtained by PLF into a welfare assessment framework.

Using Expert Elicitation to Abridge the Welfare Quality® Protocol for Monitoring the Most Adverse Dairy Cattle Welfare Impairments

The Welfare Quality® consortium has developed and proposed standard protocols for monitoring farm animal welfare. The uptake of the dairy cattle protocol has been below expectation, however, and it has been criticized for the variable quality of the welfare measures and for a limited number of measures having a disproportionally large effect on the integrated welfare categorization. Aiming for a wide uptake by the milk industry, we revised and simplified the Welfare Quality® protocol into a user-friendly tool for cost- and time-efficient on-farm monitoring of dairy cattle welfare with a minimal number of key animal-based measures that are aggregated into a continuous (and thus discriminative) welfare index (WI). The inevitable subjective decisions were based upon expert opinion, as considerable expertise about cattle welfare issues and about the interpretation, importance, and validity of the welfare measures was deemed essential. The WI is calculated as the sum of the severity score (i.e., how severely a welfare problem affects cow welfare) multiplied with the herd prevalence for each measure. The selection of measures (lameness, leanness, mortality, hairless patches, lesions/swellings, somatic cell count) and their severity scores were based on expert surveys (14–17 trained users of the Welfare Quality® cattle protocol). The prevalence of these welfare measures was assessed in 491 European herds. Experts allocated a welfare score (from 0 to 100) to 12 focus herds for which the prevalence of each welfare measure was benchmarked against all 491 herds. Quadratic models indicated a high correspondence between these subjective scores and the WI (R² = 0.91). The WI allows both numerical (0–100) as a qualitative (“not classified” to “excellent”) evaluation of welfare. Although it is sensitive to those welfare issues that most adversely affect cattle welfare (as identified by EFSA), the WI should be accompanied with a disclaimer that lists adverse or favorable effects that cannot be detected adequately by the current selection of measures.

Application of a Protocol to Assess Camel Welfare: Scoring System of Collected Measures, Aggregated Assessment Indices, and Criteria to Classify a Pen

Simple Summary

During the last few decades, several protocols have been developed for assessing the on-farm welfare of several animal species. However, a protocol for camels has only recently been proposed. This study, for the first time, applied this assessment protocol and developed a model to compound overall welfare indices and classify pens according to their welfare level. The welfare measures were collected in 76 pens of a camel market in Qatar, scored, and then aggregated to obtain overall welfare indices. Thirst Index, Body Condition Score (BCS), disease and physical injuries, feeding and watering management, presence of a shelter, and cleanliness of bedding were the measures that strongly affected the classification of the pens. The model seemed to be able to identify the major welfare concerns of camels kept at the market and to suggest corrective actions. Further studies are needed to implement the proposed model, but it may be the first step towards the definition of welfare standards for camels.

Abstract

This study aimed to apply a protocol for assessing camel welfare, to develop a scoring system for the welfare measures, to produce overall assessment indices, and to classify the animal units (i.e., pens) according to their welfare level. A total of 105 measures were collected at Herd level from 76 pens at a market in Qatar. The pens held 528 camels, 132 of which were evaluated at a deeper level (i.e., Animal level). Out of the 105 measures, 71 were selected, scored, and aggregated to reach a Total Welfare Index (TWI) for each pen. The TWI ranged from 46.2 to 69.8. The Good Feeding index, including measures related to prolonged thirst and prolonged hunger, was the most critical (p < 0.001), while the Good Health index, including measures related to the absence of injuries, disease and pain, was the less problematic (p < 0.001). However, most of the pens were classified as “unsatisfactory” (61.8%) and none as “excellent”. Body Condition Score (BCS), Thirst Index, disease and physical injuries, presence of a shelter, and cleanliness of bedding were the measures which influenced the pens’ classification the most (p < 0.05). The proposed model seems useful in the identification of camel welfare issues. Further applications, as well as the involvement of many scientists and stakeholders, are needed to refine and validate the protocol and its indices.

Welfare indicators associated with feed conversion ratio and daily feed intake of growing-finishing pigs

Context Understanding the welfare indicators that affect animal performance can facilitate modifications that improve both animal welfare and profitability. Aims A cross-sectional study was conducted to investigate the prevalence of animal welfare indicators and quantify their possible associations with feed conversion ratio (FCR) and daily feed intake (DFI) of growing-finishing pigs (Sus scrofa). Methods Data from 46 farms were collected. The herds ranged from 360 to 2500 pigs, which were aged between 75 and 173 days, and were managed on an all-in all-out basis. The welfare indicators were evaluated once on each farm using the methodology of the Welfare Quality® assessment protocol for pigs. Multiple linear mixed models were used to assess the associations of welfare with FCR and DFI according to the production stage at which the pigs were evaluated on the farm. Key results The welfare indicators with the highest average prevalence were frequency of coughing (35.7%), moderate bursitis (31.1%), and moderate and severe soiling with manure (18.8 and 27.7% respectively). Most of the remaining indicators related to poor welfare had prevalence values of less than 1%. The mean prevalence of positive social behaviour (such as sniffing/nosing/licking) was 14.4% and that of negative social behaviour (NSB; such as aggressive interactions) was 3.1%. The average space allowance (measured in 460 pens) was 1.04 ± 0.13 m2/pig (ranging from 0.78 to 1.36 m2/pig). Better FCRs were associated with a low prevalence of NSB (P &lt; 0.05), a low prevalence of coughing (P &lt; 0.01), absence of lameness problems (P &lt; 0.001), and small space allowances (P &lt; 0.05). Lower DFI values were associated with a low prevalence of NSB (P &lt; 0.05), a high prevalence of moderate hernias (P &lt; 0.01), a low prevalence of other active behaviours (such as eating and drinking) (P &lt; 0.001), and a high prevalence of animals with wounds on the body (P &lt; 0.05). Conclusions Few indicators related to the impairment of welfare were detected with a high prevalence, and the results suggest that the conditions related to poor welfare were associated with an impairment in animal performance. Implications The results of this study can provide the industry with comparative information to promote improvements in pig welfare. Some welfare indicators could be used on farm as predictors of performance variables; however, these indicators need validation.

Iceberg Indicators for Sow and Piglet Welfare

This study identifies iceberg indicators for welfare assessment in sows and piglets to enhance feasibility and sustainability of available protocols. Indicators of the Welfare Quality® protocol and of a German protocol were collected over 65 farm visits to 13 farms in Germany between September 2016 and April 2018. Data were analysed using partial least square structural equation modelling (PLS-SEM). A hierarchical component model was built (animal welfare = higher-order, Welfare Quality® principles = lower-order components). In sows, welfare was revealed to be most influenced by the principles good housing, good health and appropriate behaviour (path coefficients = 0.77, 0.86, 0.91). High coefficients of determination R2 indicated a large amount of explained variance (good housing R2 = 0.59, good health R2 = 0.75, appropriate behaviour R2 = 0.83). Stereotypies was the indicator most valuable to assess sow welfare. Additionally, the final model included the indicators panting, shoulder sores, metritis, mortality and an indicator assessing stereotypies in resting animals (indicator reliabilities 0.54–0.88). However, the model did not include the indicators lameness and body condition, which may be due to the farm sample. Welfare of piglets was most explained by the indicators carpal joint lesions, mortality, sneezing and undersized animals (indicator reliabilities 0.48–0.86).

Investigation of influence of growing pigs' positive affective state on behavioral and physiological parameters using structural equation modeling

The aim of the present study was to investigate whether the primarily positive affective state of fattening pigs influences various behavioral and physiological parameters such as the pigs' playing behavior, way of behaving in behavioral tests, body language signals, or diameter, and astroglia cell numbers of hippocampi, salivary immunoglobulin A (IgA) content, or salivary protein composition. Additionally, the suitability of the variables mentioned was examined to assess the pigs' positive affective state in practice, which still constitutes a latent variable not itself measurable. For this, a dataset including behavioral and physiological data of 60 fattening pigs from 3 different farms with different housing systems was analyzed by the partial least squares structural equation modeling (PLS-SEM) method. A hierarchical component model (HCM) was used including the pigs' positive affective state as a higher-order component (HOC) and the behavioral and physiological parameters as lower-order components (LOC). Playing behavior, body language signals, and behavioral tests were revealed, in this order, to be most influenced by the pigs' positive affective state since these resulted in the corresponding path coefficients (PC) of PC = 0.83, PC = 0.79, and PC = 0.62, respectively. Additionally moderate and weak R2-values occurred for the endogenous latent variables playing behavior (R2 = 69.8%), body language signals (R2 = 62.7%), and behavioral tests (R2 = 39.5%). Furthermore, the indicator of the "locomotor play" showed the highest indicator reliability (IR) (IR = 0.85) to estimate the latent variable of pigs' positive affective state. The results of the present study supplement the comprehension and assessment of the pigs' positive affective state in general.

Severity assessment in pigs after partial liver resection: evaluation of a score sheet

Severity assessment in biomedical research is required by the European authorities. Therefore, a variety of score sheets are available. The first score sheets were designed and introduced by Morton and Griffith (M&G) in 1985, to assess pain and distress in animals. Score sheets are an important part of the 3R principles to evaluate the degree of severity in different studies. Here, we used a modified score sheet from M&G for severity assessment of 12 Aachen minipigs after partial liver resection for safety testing of a novel synthetic sealant (VIVO-107). The control group was treated with the clinical standard fibrin. Estimation of recovery status of both groups was performed from the day of surgery to postoperative day 7 using a score sheet. Included parameters were blood loss during the surgical procedure, general state, spontaneous behaviour and clinical results. Values from 0 to 20 were graded for each category and resulted in the degree of strain (DS) from DS0 to DS4. An increasing DS indicated higher severity. Suitability of the implemented score sheet was evaluated. Higher score points were documented almost exclusively as an outcome of the clinical results, influenced mainly by increased temperature in the fibrin treated control group, whereas, spontaneous behaviour had only slight influence and general state had no influence. The average score seven days after surgery was <2. The laparotomy, where the partial liver resection is a part, is rated as moderate severity in the EU Directive 2010/63, while the assessment done in the present study hints to a mild severity of the model in our hands.

Are Behavioral Tests Capable of Measuring Positive Affective States in Growing Pigs?

Simple Summary

This study aimed at deriving potential indicators to assess fattening pigs’ positive affective state in order to be able to assess animal welfare more objectively. For this purpose, 297 fattening pigs from two different housing systems (a barren and an enriched environment) were subjected three times to the human approach test and novel object test (at the start, middle and end of fattening). The barren-housed pigs showed quicker approach latencies to come into contact with the unknown human and the novel object compared to the enriched-housed pigs (e.g., latency time in the human approach test at the end of fattening: barren housing system: 7.4 ± 1.1 s vs. enriched housing system: 57.1 ± 1.1 s, respectively 58.3 ± 1.3 s). They also indicated longer durations of contact in the human approach test but not in the novel object test (e.g., duration of contact in the human approach test at the end of fattening: barren housing system: 83.8 ± 1.1 s vs. enriched housing system: 6.3 ± 1.1 s respectively, 7.6 ± 1.3 s). However, taking the literature into account, interpretation of these results is not straightforward as the reasoning for these findings could be boredom, and thus a higher motivation to explore, or less fear. Hence, behavioral tests as solitary indicators are probably less useful in the assessment of an affective state.

Abstract

This study examined whether the human approach test (HAT) or novel object test (NOT), which are considered as suitable tests for assessing the level of fear or anxiety in animals, are suitable to detect a positive affective state in 297 fattening pigs from three different farms. The investigated farms consisted of a barren (farm 1, n = 160) and an enriched (farm 2, n = 106; farm 3, n = 31) husbandry. Each pig was subjected three times to the HAT and NOT during fattening (at the start, middle, and end of fattening). The pigs housed in the barren environment showed quicker approach latencies than the enriched-housed pigs (HAT: farm 1: 7.4 ± 1.1 s vs. farm 2: 57.1 ± 1.1 s, respectively, farm 3: 58.3 ± 1.3 s (end of fattening); NOT: farm 1: 4.5 ± 1.1 s vs. farm 2: 23.0 ± 1.1 s, respectively, farm 3: 9.0 ± 1.2 s (end of fattening)). The same pattern of behavior was observed for the duration of contacts in the HAT but not in the NOT (HAT: farm 1: 83.8 ± 1.1 s vs. farm 2: 6.3 ± 1.1 s, respectively, farm 3: 7.6 ± 1.3 s (end of fattening)). However, due to controversially discussed literature, it is difficult to conclude whether the described differences in the pigs’ behavior between the two housing systems might indicate useful indicators to detect their affective state.