scholarly journals The Potential of Post-Mortem Carcass Assessments in Reflecting the Welfare of Beef and Dairy Cattle

Animals ◽  
2019 ◽  
Vol 9 (11) ◽  
pp. 959
Author(s):  
Melody Knock ◽  
Grace A. Carroll
Keyword(s):  
Regression Analysis ◽  
Dairy Cattle ◽  
Body Condition ◽  
Skin Lesions ◽  
Meat Inspection ◽  
Carcass Weight ◽  
Post Mortem ◽  
Lesion Score ◽  
Inspection Data ◽  
General Indicator

There is increasing interest in utilizing meat inspection data to help inform farmers of the health and welfare of their herds. The aim of this study was to determine whether ante-mortem measures of welfare in beef and dairy cattle (N = 305) were associated with post-mortem measures at a United Kingdom (UK) abattoir. Multiple regression analysis was used to determine the ability of ante-mortem measures of lameness, cleanliness, skin lesions, hair loss and body condition in predicting hot carcass weight and the frequency of carcass bruising. For beef cattle, lameness score (p = 0.04), cleanliness score (p = 0.02) and age (p < 0.001), were predictors of carcass bruise score while lameness score (p = 0.03), body condition (p = 0.01) and sex (p < 0.001) were predictors of hot carcass weight. For dairy cattle, sex (p < 0.001) and slaughter day (p < 0.001) were predictors of carcass bruise score while skin lesion score (p = 0.01), body condition (p < 0.001), age (p < 0.001), slaughter day (p < 0.001) and number of moves (p = 0.01) were predictors of hot carcass weight. These results suggest that recording carcass weight and carcass bruising at meat inspection may have potential as a general indicator of health and welfare status in cattle. However, animal characteristics and variables, such as slaughter day and abattoir staffing, should be taken into account when interpreting the results.

scholarly journals A simulation study on the statistical monitoring of condemnation rates from slaughterhouses for syndromic surveillance: an evaluation based on Swiss data

2015 ◽  
Vol 143 (16) ◽  
pp. 3423-3433 ◽  
Author(s):  
F. VIAL ◽  
S. THOMMEN ◽  
L. HELD
Keyword(s):  
Syndromic Surveillance ◽  
Animal Health ◽  
False Positive Rate ◽  
Probability Of Detection ◽  
Meat Inspection ◽  
Small Range ◽  
Post Mortem ◽  
Multivariate System ◽  
Inspection Data ◽  
Reporting Frequency

SUMMARYSyndromic surveillance (SyS) systems currently exploit various sources of health-related data, most of which are collected for purposes other than surveillance (e.g. economic). Several European SyS systems use data collected during meat inspection for syndromic surveillance of animal health, as some diseases may be more easily detected post-mortem than at their point of origin or during the ante-mortem inspection upon arrival at the slaughterhouse. In this paper we use simulation to evaluate the performance of a quasi-Poisson regression (also known as an improved Farrington) algorithm for the detection of disease outbreaks during post-mortem inspection of slaughtered animals. When parameterizing the algorithm based on the retrospective analyses of 6 years of historic data, the probability of detection was satisfactory for large (range 83–445 cases) outbreaks but poor for small (range 20–177 cases) outbreaks. Varying the amount of historical data used to fit the algorithm can help increasing the probability of detection for small outbreaks. However, while the use of a 0·975 quantile generated a low false-positive rate, in most cases, more than 50% of outbreak cases had already occurred at the time of detection. High variance observed in the whole carcass condemnations time-series, and lack of flexibility in terms of the temporal distribution of simulated outbreaks resulting from low reporting frequency (monthly), constitute major challenges for early detection of outbreaks in the livestock population based on meat inspection data. Reporting frequency should be increased in the future to improve timeliness of the SyS system while increased sensitivity may be achieved by integrating meat inspection data into a multivariate system simultaneously evaluating multiple sources of data on livestock health.

scholarly journals Added Value of Meat Inspection Data for Monitoring of Dairy Cattle Health in the Netherlands

2021 ◽  
Vol 8 ◽  
Author(s):  
Anouk M. B. Veldhuis ◽  
Debora Smits ◽  
Martijn Bouwknegt ◽  
Heleen Worm ◽  
Gerdien van Schaik
Keyword(s):  
The Netherlands ◽  
Dairy Cattle ◽  
Health Surveillance ◽  
Meat Inspection ◽  
Added Value ◽  
Dairy Herds ◽  
Multivariable Analyses ◽  
Cattle Herds ◽  
Inspection Data ◽  
Cattle Health

Meat inspection records of one large cattle slaughterhouse were analyzed to evaluate the added value of slaughterhouse data for cattle health surveillance in the Netherlands. Data were available from January 2015 to September 2018, consisting of 467,361 meat inspection records. Analyses included (1) an assessment of the representativeness of the cattle herds in the slaughterhouse data in relation to the cattle herd population in the Netherlands, and (2) multivariable analyses to quantify associations between meat inspection findings and farm of origin characteristics, and the trends in time of the findings in slaughtered cattle. Ninety percent of the meat inspection records originated from dairy cattle therefore this paper only presents the results of dairy herds (N = 422,194 cattle). The dairy herds in the slaughterhouse data seemed representative for the Dutch dairy population although their regional coverage differed from the distribution of dairy herds in the Netherlands. Non-dairy herds were underrepresented in the slaughterhouse data which stresses the importance of the inclusion of data from other slaughterhouses that may be more specialized in slaughtering beef cattle. Inspection records were categorized into 15 indicators related to ante-mortem and post-mortem findings. Following multivariable analyses, seven indicators were deemed of added value to existing cattle health surveillance components, as they provided either new information or information regarding specific health problems.

scholarly journals Agricultural Holdings and Slaughterhouses’ Impact on Patterns of Pathological Findings Observed during Post-Mortem Meat Inspection

Animals ◽  
2021 ◽  
Vol 11 (5) ◽  
pp. 1442
Author(s):  
Johannes Klinger ◽  
Beate Conrady ◽  
Marina Mikula ◽  
Annemarie Käsbohrer
Keyword(s):  
Multivariate Analysis ◽  
Feedback System ◽  
Meat Inspection ◽  
Post Mortem ◽  
Pathological Findings ◽  
Herd Health ◽  
Post Mortem Findings ◽  
Explained Variance ◽  
Time Periods ◽  
Inspection Data

Meat inspection data can provide valuable information about herd health to producers, veterinarians and veterinary authorities and can be used as a feedback system for farmers to improve their herd management. The aim of this study was to analyse the influence of agricultural holdings, slaughterhouses and time periods (quarters) on the occurrence and composition of the prevalence of post-mortem findings of 4 million pigs slaughtered in Austria in 2016, by applying a permutation multivariate analysis of variance. Pneumonia (21.9%) and milk spots (19.9%) were the most frequently recorded conditions. Our analysis indicated a statistically significant influence of all three considered factors (agricultural holdings, slaughterhouses and periods) on the prevalence of post-mortem findings. The observed prevalence could not only be explained by the differences between the farms of origin and slaughterhouses but also by the variability within the slaughterhouses. Much of the explained variance of the prevalence was due to differences between producers (mean R2 = 0.61), followed by slaughterhouses (mean R2 = 0.19) and period (mean R2 = 0.05). To meet the demand for a valid feedback system to farmers and attending veterinarians, a robust and ideally more detailed recording of frequent pathologies, especially those affecting the respiratory tract and the liver, should be developed.

scholarly journals Comparison of a classical with a highly formularized body condition scoring system for dairy cattle

animal ◽  
2014 ◽  
Vol 8 (12) ◽  
pp. 1971-1977 ◽  
Author(s):  
A. Isensee ◽  
F. Leiber ◽  
A. Bieber ◽  
A. Spengler ◽  
S. Ivemeyer ◽  
...  
Keyword(s):  
Dairy Cattle ◽  
Body Condition ◽  
Scoring System ◽  
Body Condition Scoring

Predictability of post mortem abnormalities in shipments of slaughter pigs as an aid for meat inspection

1991 ◽  
Vol 13 (2) ◽  
pp. 74-80 ◽  
Author(s):  
A. H. M. Harbers ◽  
J. F. M. Smeets ◽  
J. M. A. Snijders
Keyword(s):  
Meat Inspection ◽  
Post Mortem ◽  
Slaughter Pigs

scholarly journals THE FACTORS AFFECTING MILK YIELD IN DIARY FARMING IN GREATER GUWAHATI REGION OF ASSAM

2021 ◽  
Vol 9 (08) ◽  
pp. 723-728
Author(s):  
Heman Sarmah ◽  
◽  
Jnanashree Borah ◽  
Tirthankar Sarma ◽  
◽  
...  
Keyword(s):  
Regression Analysis ◽  
Dairy Cattle ◽  
Milk Production ◽  
Milk Yield ◽  
Policy Maker ◽  
Production Cost ◽  
Relative Importance ◽  
Factors Affecting ◽  
Micro Level ◽  
Farming Households

The production of milk is conceived of several factors and a very multifarious process. The knowledge of relative importance of the resource inputs influencing in milk production is essential for the dairy farmer for introducing desirable change in his operation at micro level and for the policy maker for formulating plans for improvements in dairy cattle productivity based on sound economic principles at the macro level (Rao, 1985).The income level of the dairy household is determined by the production of milk they produce at their farms. Generally, the income of the dairy household increases when the milk production cost decreases or when the milk production increases .For this it is essential to study the factors which directly or indirectly effect the milk production. Household samples have been selected both from the municipal wards of Guwahati Municipal Corporation area. Out of 672 dairy farming households, 201 household have been selected for the survey. Regression analysis has been used for the study of factors affecting milk production in greater Guwahati region of Assam.

scholarly journals Behaviour and Skin Injuries of Piglets Originating from a Novel Group Farrowing System Before and After Weaning

Agriculture ◽  
2019 ◽  
Vol 9 (5) ◽  
pp. 93 ◽  
Author(s):  
Lilith Schrey ◽  
Nicole Kemper ◽  
Michaela Fels
Keyword(s):  
Body Weight ◽  
Weight Gain ◽  
Body Weight Gain ◽  
Skin Lesions ◽  
Lesion Score ◽  
Skin Injuries ◽  
Individual Housing ◽  
Common Area ◽  
Before And After ◽  
The Common

The aim of this study was to analyse a novel group farrowing system (GH) concerning piglets’ behaviour, skin injuries and body weight gain, to test its animal friendliness. Skin injuries and weight gain were compared to piglets originating from conventional individual housing (IH) before and after weaning. The GH system had five farrowing pens without crates, a common area and an area only available for piglets. In total, 34 litters were studied. Four days after the GH-piglets had left the pens during lactation, the lesion score of piglets in GH was higher than in IH. However, piglets from the GH sustained fewer injuries after mixing at weaning, compared to the piglets from IH and had higher daily weight gains, during the early nursery phase. The common area in GH was intensively used for active behaviour, since standing/walking and playing were observed there, most frequently, whereas lying occurred most frequently inside the pens. Immediately after the piglets had left the pens in the GH, the piglets preferred proximity to the sow, compared to the pens where they were born. The GH system enabled social enrichment, offered increased space for activity and led to fewer skin lesions, after weaning; thus, potentially increasing animal welfare.

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