The relationship between animal welfare at slaughter and slaughterhouse profitability is complex, with potential trade-offs between animal welfare costs and benefits. Slaughterhouses currently lack data support for decisions on investments that can improve both animal welfare and profitability. Therefore, this study mapped the economic impacts for slaughterhouse businesses of improved cattle and pig welfare at slaughter. Specific aims were to: (i) highlight the possible economic impact of animal welfare improvements, based on the scientific literature; (ii) develop an economic model demonstrating the theoretical contribution of animal welfare to slaughterhouse profitability; and (iii) validate the economic model through focus group interviews with slaughterhouse personnel in Sweden. The findings indicated that investing in animal welfare improvements could result in accumulation of an intangible asset that can be considered together with other production factors in the economic model. Model validation stressed the importance of selling by-products for the economic outcome and of smooth workflow for productivity. The study thus improves understanding of the economic impacts of animal welfare at slaughter and incentives for slaughterhouse businesses to improve animal welfare. The results are important for public and private policy-makers interested in enhancing animal welfare at slaughter.

This study examined the sources of glare and range in luminance levels in eleven UK cattle abattoirs, and the effect of reflected glare from a footbath on balking behaviour of cows in a milking parlour. At the abattoirs, the mean luminance levels decreased from 240,000 cd m−2 outdoors to 100 cd m−2 in the stunning pen. In five of the abattoirs, the luminance of the glare from wet floor surfaces was three times higher than the luminance from the surrounding darker areas, and the luminance of the glare from shiny metal surfaces was ten times higher than the luminance from the adjacent darker areas. In the glare study, frequency of balking increased significantly from 10 to 23% when reflected glare increased from 0 (no lightbulb) to 873 cd m−2 (100 W bulb), but significantly fewer animals balked during the afternoon milking than at the morning milking times.

Consumption of pork and pork products can be associated with outbreaks of human salmonellosis. Salmonella infection is usually subclinical in pigs, and farm-based control measures are challenging to implement. To obtain data on Salmonella prevalence, samples can be collected from pigs during the slaughter process. Here we report the results of a Great Britain (GB) based abattoir survey conducted by sampling caecal contents from pigs in nine British pig abattoirs during 2019. Samples were collected according to a randomised stratified scheme, and pigs originating from 286 GB farms were included in this survey. Salmonella was isolated from 112 pig caecal samples; a prevalence of 32.2% [95% confidence interval (CI) 27.4–37.4]. Twelve different Salmonella serovars were isolated, with the most common serovars being S. 4,[5],12:i:-, a monophasic variant of Salmonella Typhimurium (36.6% of Salmonella-positive samples), followed by S. Derby (25.9% of Salmonella-positive samples). There was no significant difference compared to the estimate of overall prevalence (30.5% (95% CI 26.5–34.6)) obtained in the last abattoir survey conducted in the UK (2013). Abattoir-based control measures are often effective in the reduction of Salmonella contamination of carcasses entering the food chain. In this study, the effect of abattoir hygiene practices on the prevalence of Salmonella on carcasses was not assessed. Continuing Salmonella surveillance at slaughter is recommended to assess effect of farm-based and abattoir-based interventions and to monitor potential public health risk associated with consumption of Salmonella-contaminated pork products.

Monitoring animal welfare (AW) in pig farms requires both proper indicators and a feasible approach. Animal-based measures (ABMs) are well-established AW indicators. Furthermore, AW screening at the slaughterhouses could be useful for identifying problems on farm. The aim of this study was to evaluate ABMs at the slaughterhouse and, when possible, to compare these ABMs with those collected on the farm. The study was carried out in northern Italy in a commercial abattoir and in a sample of farms. Animal-based measures were recorded on pigs from 62 batches of 54 farms, during ante-mortem (n=10 085 pigs) and post-mortem (n=7952 pigs) inspections. Sixteen of 54 farms were selected to compare ABMs collected at the slaughterhouse with ABMs collected on the farm. Overall, 2295 pigs (mean pigs examined per farm 119±45) were inspected at the slaughterhouse (group S) and 420 pigs (mean pigs per farm 26±5) on the farm (group F). Non-animal-based measures were also collected at the 16 farms. Differences between groups S and F, at the animal level, were assessed by a two-tailed paired Wilcoxon–Mann–Whitney test. Differences at the site of observation level (farm and slaughterhouse) were assessed by Fisher’s exact test using a hierarchical log-linear modelling for contingency tables. The most frequent ABMs at the slaughterhouse were manure on the body (47.7%), followed by dermatitis (28.0%), white spot (25.4%) and bursitis (24.7%). Recording ABMs at the slaughterhouse and on the farm usually yielded similar results; however, there were some exceptions. In particular, significant differences were found for non-uniformity of size (P<0.05) and dermatitis (P<0.001), which were higher at the slaughterhouse than on the farm. Results of log-linear modelling underlined the effect of the farm of origin on the percentage of pigs with bursitis, manure on the body and ear injuries that were observed at the slaughterhouse. In group S, significant associations between manure on the body and insufficient presence of clean and dry areas in the corresponding farm were found (P<0.05). Although these results should be interpreted with care due to the limited sample of farms, the slaughterhouse could be a feasible site of observation of ABMs, which could then be integrated in monitoring of AW on farm. Considering the number of slaughtered batches per farm, it would be possible to repeat assessments several times throughout the year for each farm, which could help provide an index for the continuous monitoring of AW.

Abattoirs are vital for gathering information on animal diseases and protecting the public from consuming infected or unhygienic meat. To assess the major reasons for organ and carcass condemnations and their financial implications, we reviewed 10-year abattoir records of slaughtered bovines between January 2005 and December 2014 at Kombolcha ELFORA abattoir, north-east Ethiopia. Of the 46,913 cattle slaughtered during that period, 17,963 (38.3%) had at least one disease condition. Lungs (10.67%) and liver (25%) were the most affected and condemned organs, followed by heart (1.53%), head (0.56%), tongue (0.17%) and kidney (0.32%). The major conditions responsible for condemnation were fasciolosis (49.89%), hydatid cyst (55.55%), pericarditis (78.2%), hydronephrosis (35.8%), abscess (71.7%) and abscess (43.9%), in liver, lung, heart, kidneys, head and tongue, respectively. The direct financial losses incurred from organ and carcass condemnation over the 10-year period amounted to ETB 1,219,399 (USD 61,946.9), with parasitic diseases such as fascioliasis and hydatidosis accounting for ETB 256,837.5 (USD 13,047.64) and ETB 170,827.5 (USD 8678.23) in losses, respectively. This study describes a significant loss of cheap and reliable sources of protein due to non-utilization of infected organs or carcasses, emphasizing the need to implement integrated approaches in disease surveillance and control programmes.

Tail lesions caused by tail biting are a widespread welfare issue in pig husbandry. Determining their prevalence currently involves labour intensive, subjective scoring methods. Increased societal interest in tail lesions requires fast, reliable and cheap systems for assessing tail status. In the present study, we aimed to test the reliability of neural networks for assessing tail pictures from carcasses against trained human observers. Three trained observers scored tail lesions from automatically recorded pictures of 13 124 pigs. Nearly all pigs had been tail docked. Tail lesions were classified using a 4-point score (0=no lesion, to 3=severe lesion). In addition, total tail loss was recorded. Agreement between observers was tested prior and during the assessment in a total of seven inter-observer tests with 80 pictures each. We calculated agreement between observer pairs as exact agreement (%) and prevalence-adjusted bias-adjusted κ (PABAK; value 1=optimal agreement). Out of the 13 124 scored pictures, we used 80% for training and 20% for validating our neural networks. As the position of the tail in the pictures varied (high, low, left, right), we first trained a part detection network to find the tail in the picture and select a rectangular part of the picture which includes the tail. We then trained a classification network to categorise tail lesion severity using pictures scored by human observers whereby the classification network only analysed the selected picture parts. Median exact agreement between the three observers was 80% for tail lesions and 94% for tail loss. Median PABAK for tail lesions and loss were 0.75 and 0.87, respectively. The agreement between classification by the neural network and human observers was 74% for tail lesions and 95% for tail loss. In other words, the agreement between the networks and human observers were very similar to the agreement between human observers. The main reason for disagreement between observers and thereby higher variation in network training material were picture quality issues. Therefore, we expect even better results for neural network application to tail lesions if training is based on high quality pictures. Very reliable and repeatable tail lesion assessment from pictures would allow automated tail classification of all pigs slaughtered, which is something that some animal welfare labels would like to do.

Tail biting is a major welfare and economic problem in intensive pig production. The objectives of this study were to (1) determine tail lesion prevalence at a German abattoir, (2) test for associations between meat inspection findings and tail lesions, (3) assess the agreement between tail necrosis recorded during meat inspection and scored from pictures and (4) test whether the tail biting management tool ‘Schwanzbeiß-Interventions-Programm’ (SchwIP) had an effect on tail lesion prevalence. A total of three observers scored tail lesions from pictures of 43 328 pigs from 32 farms where SchwIP had been applied, and of 36 626 pigs from 32 control farms. Tail lesions were classified as score 0: no visible lesion, score 1: mild lesion, score 2: severe lesion and score 3: necrosis. In addition, complete loss of tail (CL) was recorded. Tail necrosis was the only tail-related carcase finding recorded by meat inspectors. (1) Tail lesion prevalences in pigs from control farms were 23.6% for score 1, 1.02% for score 2, 0.55% for score 3 and 0.41% for CL. The combined prevalence of any lesion and/or CL was 25.4%. (2) Pleurisy, lung findings, signs of inflammation in the legs, arthritis and abscesses were the most frequent meat inspection findings (prevalences of 8.46%, 8.09%, 2.99%, 0.83% and 0.23%, respectively; n=79 954 pigs). Leg inflammation, arthritis and abscesses were more prevalent in pigs with tail lesions of any degree compared with pigs without tail lesions (3.39% v. 2.83%, 1.06% v. 0.75% and 0.39% v. 0.17%, respectively; all P<0.001, n=79 954 pigs). Pigs with severe tail lesions also had more lung findings (2.00% v. 0.17%, P<0.001). (3) Tail necrosis scored during meat inspection resulted in lower prevalence than scored from pictures (0.22% v. 0.69%; n=79 954 SchwIP and control farm pigs). (4) Although tail lesion prevalence was significantly higher in pigs from SchwIP than in pigs from control farms during the first 3 months (32.2% v. 23.8%, P=0.015), it was not significantly higher during the remainder of the year (22.6 v. 26.9, 24.4 v. 21.4 and 24.0 v. 28.0, second, third and fourth quarters, respectively). In conclusion, meat inspection results in much lower tail lesion prevalences than tail lesion assessment from pictures, even if only the category ‘necrosis’ is compared. Advising farms on tail biting using the management tool SchwIP helped to decrease the prevalence of tail lesions on problem farms.

Post-mortem examination continues to play an important surveillance role in the bovine tuberculosis (bTB) eradication programme in Northern Ireland. It is estimated that 18–28% of new bTB herd breakdowns are disclosed by the detection of bTB lesions in animals routinely slaughtered. The purpose of this study was to compare the performance of different slaughterhouses in Northern Ireland in detecting bTB-lesioned animals at routine slaughter (LRS) and to apply the findings to maximize the sensitivity of bTB slaughterhouse surveillance. Univariate statistical analysis on cattle slaughtered in Northern Ireland during 2011–2013 revealed that the risk of LRS disclosure varied between slaughterhouses, ranging from 0·08% to 0·54%. Furthermore, the risk of confirmation of these LRS as bTB varied between slaughterhouses, ranging from 57·9% to 72·4%. Logistic regression modelling of selected risk factors found that the risk of LRS disclosure increased with age, and was higher in purchased animals, during winter months, in animals coming from high bTB incidence areas and in animals slaughtered from herds with a bTB restriction in the last 2–3 years. Adjusting for these selected factors, the risk of LRS disclosure and bTB confirmation changed very little from the univariable analysis, suggesting that differences in disclosure risks between slaughterhouses were likely to be due to factors related to the slaughterhouses, rather than to the risk status of the animals presented. Examination of procedures within these slaughterhouses is recommended to identify ways that could increase the sensitivity of their bTB surveillance.

The study's objectives were to determine herd- and animal-level prevalence and herd-level risk factors for Salmonella in dairy-bred veal calves at slaughter in Denmark. In total, 1296 faecal samples were collected at five cattle abattoirs in Denmark during 2007–2008. The animals came from 71 randomly selected specialized veal-calf producers that delivered more than 100 animals to slaughter per year. Salmonella Dublin bacteria were isolated from 19 samples from 12 herds and Salmonella Typhimurium was isolated from one sample. The apparent prevalence of herds delivering Salmonella-shedding animals to slaughter was 18% (95% CI 9–27). The overall estimated true prevalence of shedding calves at slaughter was 1·3%. Veal-calf herds that purchased animals from herds not classified as low risk in the Danish Salmonella surveillance programme had significantly (P=0·03) higher risk of delivering Salmonella-shedding calves to slaughter. The results emphasize the importance of efforts in the dairy industry to ensure food safety for consumers.

From primary production and on through the whole processing line, the poultry house microflora will be transferred into the processing plant, and further on in the process, onto exterior parts of the birds as well in their gut microflora. This is particularly true for Salmonella. In this paper, the major stages of poultry processing are considered with regard to the potential spread of Salmonella. Most of the data referred to in this review applies to broiler chickens.

Cross contamination occurs especially during scalding, defeathering, head pulling, evisceration and chilling. The poultry meat processing line does not have any killing capability for Salmonella. At present, effective barriers that might be able to control Salmonella do not exist. It would be useful to develop more techniques and procedures than are presently available.

Several other options for intervention to control Salmonella already exist. Although generally known, these have not yet been incorporated into the production sequence. They include the implementation of other processing actions such as flaming; changes of machinery design for example in scalding tanks and transport containers. It would also be helpful to base operational designs of machinery for scalding and crate washing more on scientific data such as time-temperature-relations in calculation of Salmonella death rates.

However, none of these actions alone would be able to solve the problem, an integrated approach is needed.

More data on flock Salmonella status is needed at critical stages during broiler growout. Also requirements for special products such as minimally processed meat must be examined, and more quantitative data are needed to calculate time-temperature relations more precisely.

Ostrich meat may be consumed as a healthy alternative to beef. The establishment of ostrich farming systems is not sufficient to satisfy consumer demand without the use of a successful production and marketing strategy. Given the current export driven nature of the industry in Southern Africa and the need for the development of a domestic market, a good understanding of the position of ostrich meat in the marketing mix and the key elements in meat processing is necessary.