scholarly journals Information Technologies for Welfare Monitoring in Pigs and Their Relation to Welfare Quality®

2021 ◽  
Vol 13 (2) ◽  
pp. 692
Author(s):  
Mona L. V. Larsen ◽  
Meiqing Wang ◽  
Tomas Norton

The assessment of animal welfare on-farm is important to ensure that current welfare standards are followed. The current manual assessment proposed by Welfare Quality® (WQ), although being an essential tool, is only a point-estimate in time, is very time consuming to perform, only evaluates a subset of the animals, and is performed by the subjective human. Automation of the assessment through information technologies (ITs) could provide a continuous objective assessment in real-time on all animals. The aim of the current systematic review was to identify ITs developed for welfare monitoring within the pig production chain, evaluate the ITs developmental stage and evaluate how these ITs can be related to the WQ assessment protocol. The systematic literature search identified 101 publications investigating the development of ITs for welfare monitoring within the pig production chain. The systematic literature analysis revealed that the research field is still young with 97% being published within the last 20 years, and still growing with 63% being published between 2016 and mid-2020. In addition, most focus is still on the development of ITs (sensors) for the extraction and analysis of variables related to pig welfare; this being the first step in the development of a precision livestock farming system for welfare monitoring. The majority of the studies have used sensor technologies detached from the animals such as cameras and microphones, and most investigated animal biomarkers over environmental biomarkers with a clear focus on behavioural biomarkers over physiological biomarkers. ITs intended for many different welfare issues have been studied, although a high number of publications did not specify a welfare issue and instead studied a general biomarker such as activity, feeding behaviour and drinking behaviour. The ‘good feeding’ principle of the WQ assessment protocol was the best represented with ITs for real-time on-farm welfare assessment, while for the other principles only few of the included WQ measures are so far covered. No ITs have yet been developed for the ‘Comfort around resting’ and the ‘Good human-animal relationship’ criteria. Thus, the potential to develop ITs for welfare assessment within the pig production is high and much work is still needed to end up with a remote solution for welfare assessment on-farm and in real-time.

2015 ◽  
Vol 58 (2) ◽  
pp. 237-249 ◽  
Author(s):  
I. Czycholl ◽  
K. Büttner ◽  
E. grosse Beilage ◽  
J. Krieter

Abstract. This paper discusses the arising need for an objective, but feasible, reliable and valid method for assessing animal welfare on farms. Animal welfare has become especially important since the industrialisation of animal housing after the Second World War and as public awareness and concern has increased. Simultaneously, alienation of the public from agriculture has taken place, as the population has moved increasingly from rural areas to towns. This has led to a very emotional discussion concerning the welfare of farmed animals, and thus a need for not only a clear definition but also a way of objectively measuring it has arisen. It is probably best defined as a total of the different conceptions health, natural behaviour and positive affective state. In the last few years, different methods for an objective assessment have been developed; however, all of them still face great challenges in their practical implementation and acceptance. The most promising method is probably the Welfare Quality® (WQ) approach, especially as it concentrates on animal-based parameters. The development of the WQ protocols emphasised not only the different conceptions of animal welfare but also especially the feasibility, reliability and validity of the parameters to be included. One of the main challenges of these protocols remains, however, the final aggregation of the results to a welfare score. Furthermore, a thorough cost–benefit analysis has not been carried out so far. Even more importantly, only a few studies have addressed the general reliability and validity of the complete protocols, and those studies that have addressed these issues have also revealed challenges concerning the interobserver and test–retest reliability of some of the included parameters. As an example, this is discussed in detail for the "Welfare Quality® animal welfare assessment protocol for growing pigs". In conclusion, the WQ approach can be seen as promising, but it has also revealed that there are still a considerable number of challenges that need to be addressed in further studies on the WQ protocols in order to achieve constant improvement. These challenges should be borne in mind in the application of these protocols, which should not be simply referred to as a gold standard.


Animals ◽  
2019 ◽  
Vol 9 (7) ◽  
pp. 398 ◽  
Author(s):  
Friedrich ◽  
Krieter ◽  
Kemper ◽  
Czycholl

The present study’s aim was to assess the test−retest reliability (TRR) of the ‘Welfare Quality® animal welfare assessment protocol for sows and piglets’ focusing on the welfare principle ‘appropriate behavior’. TRR was calculated using Spearman’s rank correlation coefficient (RS), intraclass correlation coefficient (ICC), smallest detectable change (SDC), and limits of agreement (LoA). Principal component analysis (PCA) was used for deeper analysis of the Qualitative Behavior Assessment (QBA). The study was conducted on thirteen farms in Northern Germany, which were visited five times by the same observer. Farm visits 1 (F1; day 0) were compared to farm visits 2 to 5 (F2–F5). The QBA indicated no TRR when applying the statistical parameters introduced above (e.g., ‘playful‘ (F1–F4) RS 0.08 ICC 0.00 SDC 0.50 LoA [−0.62, 0.38]). The PCA detected contradictory TRR. Acceptable TRR could be found for parts of the instantaneous scan sampling (e.g., negative social behavior (F1–F3) RS 0.45 ICC 0.37 SDC 0.02 LoA [−0.03, 0.02]). The human−animal relationship test solely achieved poor TRR, whereas scans for stereotypies showed sufficient TRR (e.g., floor licking (F1–F4) RS 0.63 ICC 0.52 SDC 0.05 LoA [−0.08, 0.04]). Concluding, the principle ‘appropriate behavior’ does not represent TRR and further investigation is needed before implementation on-farm.


Animals ◽  
2020 ◽  
Vol 10 (9) ◽  
pp. 1597 ◽  
Author(s):  
Y. Baby Kaurivi ◽  
Richard Laven ◽  
Rebecca Hickson ◽  
Tim Parkinson ◽  
Kevin Stafford

Potential measures suitable for assessing welfare in pasture-based beef cow–calf systems in New Zealand were identified from Welfare Quality and UC Davis Cow-Calf protocols. These were trialled on a single farm and a potential protocol of 50 measures created. The aim of this study was to assess the feasibility of the measures included in this protocol on multiple farms in order, to develop a credible animal welfare assessment protocol for pasture-based cow–calf farms systems in New Zealand. The assessment protocol was trialled on 25 farms over two visits and took a total of 2.5 h over both visits for a 100-cow herd. The first visit in autumn included an animal welfare assessment of 3366 cows during pregnancy scanning, while the second visit in winter included a questionnaire-guided interview to assess cattle management and health, and a farm resource evaluation. Through a process of eliminating unsuitable measures, adjustments of modifiable measures and retaining feasible measures, a protocol with 32 measures was created. The application of the protocol on the farms showed that not all measures are feasible for on-farm assessment, and categorisation of identified animal welfare measures into scores that indicate a threshold of acceptable and non-acceptable welfare standards is necessary.


2020 ◽  
Vol 7 ◽  
Author(s):  
Ana Silvia Pedrazzani ◽  
Murilo Henrique Quintiliano ◽  
Franciele Bolfe ◽  
Elaine Cristina de Oliveira Sans ◽  
Carla Forte Maiolino Molento

The aim of this study was to develop and test a tilapia on-farm welfare assessment protocol, based on Brazilian semi-intensive production systems. The study included two mains steps: the elaboration of tilapia welfare protocol and its on-field feasibility test. The protocol, including the potential indicators organized into health, environmental, nutritional, and behavioral categories, was tested on three farms. Skin, eyes, gills, jaws, fins, and vertebral spine were individually examined in 139 individual tilapias. Water physicochemical parameters and production system were considered. The overall nutritional status of individuals was assessed through body condition factor, feed conversion ratio, feed crude protein ratio, and feed ingestion behavior. During massive capture, signals of stress, level of crowding, and duration of air exposure were registered. Time required for loss of consciousness was evaluated by clinical reflexes and other behaviors during slaughter. Eye, jaw, and gill scores were different across farms (Kruskal-Wallis test, p = 0.011; 0.015; 0.043, respectively), showing good discrimination power. Critical welfare points were extremely low dissolved oxygen in water, fin and skin lesions, prolonged air exposure during pre-slaughter handling and non-humane slaughter techniques, as decapitation or asphyxia. The protocol presents practical viability and it is an initial step for the development of a tilapia welfare strategy, where the prioritization of critical welfare points, implementation of corrective actions and monitoring of the results is part of a permanent welfare management system.


PLoS ONE ◽  
2020 ◽  
Vol 15 (11) ◽  
pp. e0242495
Author(s):  
Shilpi Misra ◽  
Corina E. van Middelaar ◽  
Kieran Jordan ◽  
John Upton ◽  
Amy J. Quinn ◽  
...  

Pork is one of the most globally eaten meats and the pig production chain contributes significantly to the water footprint of livestock production. However, very little knowledge is available about the on-farm factors that influence freshwater use in the pig production chain. An experiment was conducted to quantify the effect of three different washing treatments on freshwater use, bacterial levels [(total bacterial counts; TBC), Enterobacteriaceae and Staphylococcus] and cleaning time in washing of pens for weaning pigs. Three weaner rooms were selected with each room having 10 pens and a capacity to hold up to 14 pigs each. Pigs were weaned and kept in the pens for 7 weeks. Finally, the pens were cleaned before the next batch of pigs moved in. The washing treatments used were power washing and disinfection (WASH); presoaking followed by power washing and disinfection (SOAK), and presoaking followed by detergent, power washing and disinfection (SOAK + DETER). A water meter was used to collect water use data and swab samples were taken to determine the bacterial levels. The results showed that there was no overall effect of washing treatments on water use. However, there was an effect of treatment on the washing time (p<0.01) with SOAK and SOAK+DETER reducing the washing time per pen by 2.3 minutes (14%) and 4.2 minutes (27%) compared to WASH. Nonetheless, there was an effect of sampling time (before or after washing) (p<0.001) on the levels of TBC and Staphylococcus, but no effect was seen on Enterobacteriaceae levels. Thus, the washing treatments used in this study had no effect on the water use of the pork production chain. Although there was no difference in both water use and bacterial load, from a producer perspective, presoaking and detergent use can save time and labour costs, so this would be the preferred option.


animal ◽  
2014 ◽  
Vol 8 (3) ◽  
pp. 461-469 ◽  
Author(s):  
M.K. Kirchner ◽  
H. Schulze Westerath ◽  
U. Knierim ◽  
E. Tessitore ◽  
G. Cozzi ◽  
...  

2019 ◽  
Vol 28 (3) ◽  
pp. 331-344 ◽  
Author(s):  
J Barry ◽  
E Kennedy ◽  
R Sayers ◽  
IJM de Boer ◽  
EAM Bokkers

The aim of this study was to develop a welfare assessment protocol using different indicators, for pre-weaned dairy calves, that is feasible and time efficient. To this end, the protocol had to combine animal-based indicators (measurements on physiology, general appearance and behaviour) providing the basis for welfare assessment, with resource-based indicators (measurements on management and the environment) providing the basis for identifying risk factors. Indicators, both animal- and resource-based, were selected by a review of existing literature and a process of expert consultation. Following the formulation phase, the protocol was then applied on five Irish dairy farms to develop further for completeness and on-farm feasibility. After each on-farm application, the protocol was critically evaluated, and modifications were made accordingly. Upon completion of the on-farm application phase, a feasible, reliable and time-efficient protocol was produced.


2020 ◽  
Vol 87 (S1) ◽  
pp. 72-78
Author(s):  
Urška Vesel ◽  
Tea Pavič ◽  
Jožica Ježek ◽  
Tomaž Snoj ◽  
Jože Starič

AbstractWelfare of dairy cows can be assessed using welfare assessment protocols consisting of resource, management and animal-based measures. Welfare Quality® Assessment Protocol is one of the best-known protocols, which depends almost entirely on animal-based measures. To gain more objective and rapid welfare assessment, new techniques have been developed to measure welfare of animals, such as hair cortisol concentration. As cortisol is released in response to stress, it has long been used as a biomarker of stress in animals. While the precise mechanism of cortisol incorporation into hair is unknown, hair cortisol concentration seems to be a marker of long-term systemic cortisol concentration. Hair cortisol is, therefore, a potential marker of chronic stress and is not likely to be affected by acute stress. Studies on cattle show connections between hair cortisol concentration and factors such as pregnancy, parity, diseases, ectoparasites, body condition score, environmental changes, stocking density and milk yield. Hair cortisol concentration appears to be affected by time of sampling, cow age and breed, UV radiation, season, body region of sampled hair and hair colour. Its concentration also depends on sampling and analytical methods. Hair cortisol is a promising non-invasive tool to evaluate welfare of dairy cows, however, more research is needed to determine the extent of effects on its concentration and the appropriate method of sampling and analysis. Correlations between Welfare Quality® Assessment Protocol scores and pooled hair cortisol concentrations have not yet been found, and more research is needed with larger sample size, a standardized protocol of hair sampling, processing and analysis. With proper attention to detail, hair cortisol levels in pooled hair samples might come to be used as a reliable indicator of dairy animal welfare.


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