Ken G Bateman

Mycoplasma bovis in Respiratory Disease of Feedlot Cattle

Mycoplasma bovis has recently emerged as an important cause of chronic caseonecrotic bronchopneumonia, arthritis, and tenosynovitis in beef cattle. Mycoplasma bovis can act as a primary pathogen, yet many cases are coinfected with other bacteria or viruses, and evidence suggests that M. bovis colonizes and perpetuates lung lesions that were initiated by other bacteria, such as M. haemolytica. Mycoplasma bovis elicits a robust humoral immune response, but the resulting antibodies are not protective because of the variable surface proteins, and vaccines have not yet been shown to prevent disease. Mycoplasma bovis infections are responsible for a high proportion of the chronic disease occurring in feedlots, and the welfare of such animals is an important aspect of feedlot health management.

Factors associated with whole carcass condemnation rates in provincially-inspected abattoirs in Ontario 2001-2007: implications for food animal syndromic surveillance

BackgroundOntario provincial abattoirs have the potential to be important sources of syndromic surveillance data for emerging diseases of concern to animal health, public health and food safety. The objectives of this study were to: (1) describe provincially inspected abattoirs processing cattle in Ontario in terms of the number of abattoirs, the number of weeks abattoirs process cattle, geographical distribution, types of whole carcass condemnations reported, and the distance animals are shipped for slaughter; and (2) identify various seasonal, secular, disease and non-disease factors that might bias the results of quantitative methods, such as cluster detection methods, used for food animal syndromic surveillance.ResultsData were collected from the Ontario Ministry of Agriculture, Food and Rural Affairs and the Ontario Cattlemens Association regarding whole carcass condemnation rates for cattle animal classes, abattoir compliance ratings, and the monthly sales-yard price for various cattle classes from 2001-2007. To analyze the association between condemnation rates and potential explanatory variables including abattoir characteristics, season, year and commodity price, as well as animal class, negative binomial regression models were fit using generalized estimating equations (GEE) to account for autocorrelation among observations from the same abattoir. Results of the fitted model found animal class, year, season, price, and audit rating are associated with condemnation rates in Ontario abattoirs. In addition, a subset of data was used to estimate the average distance cattle are shipped to Ontario provincial abattoirs. The median distance from the farm to the abattoir was approximately 82 km, and 75% of cattle were shipped less than 100 km.ConclusionsThe results suggest that secular and seasonal trends, as well as some non-disease factors will need to be corrected for when applying quantitative methods for syndromic surveillance involving these data. This study also demonstrated that animals shipped to Ontario provincial abattoirs come from relatively local farms, which is important when considering the use of spatial surveillance methods for these data.

Suitability of bovine portion condemnations at provincially-inspected abattoirs in Ontario Canada for food animal syndromic surveillance.

BackgroundAbattoir condemnations may play an important role in a food animal syndromic surveillance system. Portion condemnation data may be particularly useful, as these data can provide more specific information on health outcomes than whole carcass condemnation data. Various seasonal, secular, disease, and non-disease factors have been previously identified to be associated with whole carcass condemnation rates in Ontario provincial abattoirs; and if ignored, may bias the results of quantitative disease surveillance methods. The objective of this study was to identify various seasonal, secular, and abattoir characteristic factors that may be associated with bovine portion condemnation rates and compare how these variables may differ from previously identified factors associated with bovine whole carcass condemnation rates.ResultsData were collected from the Ontario Ministry of Agriculture, Food and Rural Affairs (OMAFRA) and the Ontario Cattlemen’s Association regarding “parasitic liver” and pneumonic lung condemnation rates for different cattle classes, abattoir compliance ratings, and the monthly sales-yard price for commodity classes from 2001-2007. To control for clustering by abattoirs, multi-level Poisson modeling was used to investigate the association between the following variables and “parasitic liver” as well as pneumonic lung condemnation rates: year, season, annual abattoir audit rating, geographic region, annual abattoir operating time, annual total number of animals processed, animal class, and commodity sales price.ConclusionsIn this study, “parasitic liver” condemnation rates were associated with year, season, animal class, audit rating, and region. Pneumonic lung condemnation rates were associated with year, season, animal class, region, audit rating, number of cattle processed per year, and number of weeks abattoirs processed cattle. Unlike previous models based on whole carcass condemnations, commodity price was not associated with partial condemnations in this study. The results identified material-specific predictor variables for condemnation rates. This is important for syndromic surveillance based on abattoir data and should be modeled and controlled for during quantitative surveillance analysis on a portion specific basis.

Laboratory and Postmortem Diagnosis of Bovine Respiratory Disease

Pathologic and laboratory investigations are essential when identification of the specific cause of bovine respiratory disease is needed. Considerations for planning a diagnostic investigation include the goals of the inquiry, the potential impact of the diagnosis, the plausible causes based on the clinical and epidemiologic appearance, and the relative merits of the available diagnostic strategies. This review uses 4 cases to outline different approaches to laboratory diagnosis. The postmortem examination is described, along with the patterns and gross appearance of lesions, considerations for effective sampling from appropriately selected animals, and reasons for discrepant or negative laboratory test results.

Comparison of covariate adjustment methods using space-time scan statistics for food animal syndromic surveillance

BackgroundAbattoir condemnation data show promise as a rich source of data for syndromic surveillance of both animal and zoonotic diseases. However, inherent characteristics of abattoir condemnation data can bias results from space-time cluster detection methods for disease surveillance, and may need to be accounted for using various adjustment methods. The objective of this study was to compare the space-time scan statistics with different abilities to control for covariates and to assess their suitability for food animal syndromic surveillance. Four space-time scan statistic models were used including: animal class adjusted Poisson, space-time permutation, multi-level model adjusted Poisson, and a weighted normal scan statistic using model residuals. The scan statistics were applied to monthly bovine pneumonic lung and “parasitic liver” condemnation data from Ontario provincial abattoirs from 2001–2007.ResultsThe number and space-time characteristics of identified clusters often varied between space-time scan tests for both “parasitic liver” and pneumonic lung condemnation data. While there were some similarities between isolated clusters in space, time and/or space-time, overall the results from space-time scan statistics differed substantially depending on the covariate adjustment approach used.ConclusionsVariability in results among methods suggests that caution should be used in selecting space-time scan methods for abattoir surveillance. Furthermore, validation of different approaches with simulated or real outbreaks is required before conclusive decisions can be made concerning the best approach for conducting surveillance with these data.

Reproductive performance of postpartum dairy cows under a highly intervenient breeding program involving timed insemination and combinations of GNRH, prostaglandin F2α and human chorionic gonadotropin

Lactating Holstein cows (n=288) were grouped as pairs at parturition and randomly assigned to two treatments (control, C vs intervenient treatment, T). The reproductive management of the Group C cows (n=130) consisted of the intramuscular administration of 500 microg PGF2alpha analogue (PG) on Days 28 and 63 postpartum and breeding on the basis of estrus signs with the a.m.-p.m. rule after Day 63. Cows that were not bred by 77 d postpartum received another injection of PG and were bred at estrus or 84 h after PG treatment. Pregnancy diagnoses were perfomed by palpation of the uterus per rectum 42 to 48 d after AI. Cows in the T group (n=139) received intramuscular injections of 100 microg GnRH 14 d and PG 28 d after calving. On Day 56 postpartum, cows were given a second dose of GnRH followed by PG on Day 63 postpartum and a third GnRH injection 48 h after PG (OvSynch). Cows were inseminated at a fixed time (22+/-1 h) after GnRH. Five days after the fixed-time insemination cows were given 1500 IU hCG i.m.. Group C and T cows that returned to service or were diagnosed as non-pregnant continued to receive PG at intervals of 14 d with breeding at estrus or 84 h after the second PGF2alpha dose. A sustained increase in milk progesterone concentration was observed in 59.0% of T cows after GnRH administration on Day 14. A similar rise in milk progesterone concentrations was observed in 53.8% of C cows. The PG on Day 28 induced luteolysis more in Group T cows (53.2%) than in Group C cows (36.9%). The PG on Day 63 reduced milk progesterone concentrations to basal levels in 50.7% of T and 49.2% of Group C animals. The first service pregnancy rates (T, 40.3% vs C, 36.2%) and the overall pregnancy rates (all services, T, 83.5% vs C, 86.9%) were not different between the two groups. The two treatments did not differ in the interval from first service to pregnancy, calving to pregnancy or in calving interval, number of services per pregnancy or culling rates.

Suitability of sentinel abattoirs for syndromic surveillance using provincially inspected bovine abattoir condemnation data

BackgroundSentinel surveillance has previously been used to monitor and identify disease outbreaks in both human and animal contexts. Three approaches for the selection of sentinel sites are proposed and evaluated regarding their ability to capture overall respiratory disease trends using provincial abattoir condemnation data from all abattoirs open throughout the study for use in a sentinel syndromic surveillance system.ResultsAll three sentinel selection criteria approaches resulted in the identification of sentinel abattoirs that captured overall temporal trends in condemnation rates similar to those reported by the full set of abattoirs. However, all selection approaches tended to overestimate the condemnation rates of the full dataset by 1.4 to as high as 3.8 times for cows, heifers and steers. Given the results, the selection approach using abattoirs open all weeks had the closest approximation of temporal trends when compared to the full set of abattoirs.ConclusionsSentinel abattoirs show promise for integration into a food animal syndromic surveillance system using Ontario provincial abattoir condemnation data. While all selection approaches tended to overestimate the condemnation rates of the full dataset to some degree, the abattoirs open all weeks selection approach appeared to best capture the overall seasonal and temporal trends of the full dataset and would be the most suitable approach for sentinel abattoir selection.

An observational study of naturally occurring gastrointestinal nematode infections in a seasonal grazing cow–calf herd in southern Ontario

Abstract: Little work has been done to determine the prevalence of gastrointestinal nematodes (GIN) in Ontario cow–calf herds. A prospective single cohort study was conducted during the grazing seasons of 2014 and 2015. Twenty-four crossbred cows were randomly assigned to one of six rotationally grazed fields each year, blocked by calving date and parity (n = 48). Feces were collected and weight and body condition score (cows) recorded at approximately 28 d intervals. Fecal egg counts (FEC) were performed using the Wisconsin method. No clinical signs of GIN parasitism were observed. Cow FEC stayed relatively low throughout both pasture seasons [mean 8 ± 20.02 eggs per gram (epg) of feces, n = 301]. Most calf FEC were also low throughout both seasons (mean 42 ± 86.20 epg, n = 268). The sample time [a proxy for days on pasture (DOP)] had a significant effect on cow epg (P < 0.001) and calf epg (P < 0.001). Cow and calf FEC peaked at the fourth sample, after 55–72 DOP; 4 epg (95% CI 2.57, 6.32) and 24 epg (95% CI 15.82, 37.19) for cows and calves, respectively. Mean calf FEC did not have a significant effect on calf weaning weight (P = 0.9).