Technology adoption on farms: Using Normalisation Process Theory to understand sheep farmers' attitudes and behaviours in relation to using precision technology in flock management.

Evidence suggests that UK sheep farmers experience lower productivity and profit margins than other livestock sectors and that they do not necessarily know where they gain or lose income from their flocks. More efficient use of precision technology has been identified as a potential way of addressing this problem. The mandatory requirement for Electronic Identification (EID) tags to be placed on all sheep offers an opportunity for sheep farmers to adopt precision technologies to manage herd health and maximise production and profit. Although the charactistics of farmers that are associated with adoption or non adoption of technology have been identified little is known about the social processes, meanings and experiences that influence uptake. This paper is novel as it draws on data from 36 sheep farmers in the UK and applies Normalization Process Theory (NPT) to gain an understanding of the reasons they do or do not use EID related precision technology on their farms. The interviews were tape recorded, transcribed verbatim and analysed using NVivo. Although respondents acknowledged the potential value of precision technology to improve their farm businesses they appeared to have alternative beliefs that were counter productive. Their beliefs that using precision technology posed a threat to their role as a good stockman, that it could not replace the need for hands-on interaction with their animals and that it was costly and difficult to use created an implementation gap. The use of NPT as an evaluation framework provided a valuable tool for increasing the understanding of contextual characteristics that undermine the routine embedding of such technology by sheep farmers. The data suggests that normalisation of the use of precision technology amongst sheep farmers could potentially be increased if manufacturers/suppliers co-design and work with farmer's to ensure that the technology enables the farmer to be in control and operates as an aid to achieving high quality stockmanship rather than a mechanism for profit maximisation.

Use of registered donkeys on the areas of natural constraint scheme in Ireland.

Data concerning the numbers, locations and types of donkeys being officially registered (passported) in Ireland (32 counties) via horse passport issuing organisations were gathered. The numbers of agricultural area aid scheme (Areas of Natural Constraint (ANC)) applicants registering passported donkeys (as compared with horses) as livestock units (LUs), the numbers of donkeys they registered and the value of payments that thus accrued to the applicants are also reported for each of 26 counties for the years 2012 to 2014 inclusive. Equids have not been eligible for equivalent agricultural schemes in the six counties of Northern Ireland. Horse Sport Ireland registration data shows that two-thirds of almost 8000 donkey passport applicants over a 10-year period came from counties Galway and Mayo and that only one-third of donkeys registered were male. As per ANC figures reported here for 2014, there were over 2500 donkeys registered as LUs on ANC, at a payment value to their keepers (in the 26 counties) of almost €1.6M. Future iterations of the ANC scheme are currently under review with regard to limiting donkey eligibility criteria, for example, to females and neutered males. The future monetary value of (some) donkeys could be adversely affected by restrictions in eligibility and by the uncertainty engendered by the prospect of change with the potential for unintended consequences.

COI barcode versus morphological identification of Culex (Culex) (Diptera: Culicidae) species: a case study using samples from Argentina and Brazil.

Sequences of the cytochrome c oxidase subunit I (COI) mitochondrial gene from adults of 22 Culex (Culex) species from Argentina and Brazil were employed to assess species identification and to test the usefulness of COI for barcoding using the best close match (BCM) algorithm. A pairwise Kimura two-parameter distance matrix including the mean intra and interspecific distances for 71 COI barcode sequences was constructed. Of the 12 COI lineages recovered in the Neighbour-joining topology, five confirmed recognised morphological species (Cx. acharistus, Cx. chidesteri, Cx. dolosus, Cx. lygrus and Cx. saltanensis) with intraspecific divergences lower than 1.75%. Cx. bilineatus is formally resurrected from the synonymy of Cx. dolosus. Cx. maxi , Cx. surinamensis and the Coronator group species included were clustered into an unresolved lineage. The intraspecific distance of Cx. pipiens (3%) was almost twice the interspecific between it and Cx. quinquefasciatus (1.6%). Regarding the BCM criteria, the COI barcode successfully identified 69% of all species. The rest of the sequences, approximately 10%, 18% and 3%, remained as ambiguously, mis and unidentified, respectively. The COI barcode does not contain enough information to distinguish Culex (Cux.) species.

A statistical approach to identifying the batch of origin of mixed-meat products using DNA profiles.

Comparison of DNA samples at different points of a supply chain offers a powerful means of verifying tracing systems for primal cuts of meat. However, this approach is problematic for products made from ground (or mixed) meat because such products are typically made from an unknown (and random) number of unidentified animals. We present a statistical method that uses DNA profiles to verify or refute the contention that a particular mixed-meat product came from a particular manufacturing batch. This method involves randomly isolating a number of individual DNA samples (comprising an unknown number of individual genotypes) from the end product and comparing them with a set of DNA samples (also comprising an unknown number of individuals) that had been collected randomly before preparation of a manufacturing batch. Confidence levels are given for refuting spurious claims, and the development of optimum sampling strategies is discussed. The results are discussed in relation to batch verification of mixed-meat products in the food industry, with an emphasis on traceability issues.

Data quality of the Cattle Tracing System in Great Britain.

The Cattle Tracing System (cts) of Great Britain was examined to investigate the quality of its data in terms of known errors and omissions, and their distribution. The proportions of erroneous or missing data have decreased steadily over time, with a marked improvement in the quality of the data since 2001, when recording became mandatory. There is little variation between regions in the quality of the data, but there are potentially important variations between the types of agricultural premises that cattle move to and from, and in other factors correlated with the type of premises, such as the age of the animals and the number of animal movements associated with the premises.

Search methods that people use to find owners of lost pets.

OBJECTIVE: To characterize the process by which people who find lost pets search for the owners. DESIGN: Cross-sectional study. Sample Population-188 individuals who found a lost pet in Dayton, Ohio, between March 1 and June 30, 2006. Procedures-Potential participants were identified as a result of contact with a local animal agency or placement of an advertisement in the local newspaper. A telephone survey was conducted to identify methods participants used to find the pets' owners. RESULTS: 156 of 188 (83%) individuals completed the survey. Fifty-nine of the 156 (38%) pets were reunited with their owners; median time to reunification was 2 days (range, 0.5 to 45 days). Only 1 (3%) cat owner was found, compared with 58 (46%) dog owners. Pet owners were found as a result of information provided by an animal agency (25%), placement of a newspaper advertisement (24%), walking the neighborhood (19%), signs in the neighborhood (15%), information on a pet tag (10%), and other methods (7%). Most finders (87%) considered it extremely important to find the owner, yet only 13 (8%) initially surrendered the found pet to an animal agency. The primary reason people did not surrender found pets was fear of euthanasia (57%). Only 97 (62%) individuals were aware they could run a found-pet advertisement in the newspaper at no charge, and only 1 person who was unaware of the no-charge policy placed an advertisement. CONCLUSIONS AND CLINICAL RELEVANCE: Veterinarians and shelters can help educate people who find lost pets about methods to search for the pets' owners.

Search and identification methods that owners use to find a lost dog.

OBJECTIVE: To characterize the process by which owners search for lost dogs and identify factors associated with time to recovery. DESIGN: Cross-sectional study. SAMPLE POPULATION: Owners of 187 dogs lost in Montgomery County, Ohio, between June 1 and September 30, 2005. PROCEDURES: A telephone survey was conducted. RESULTS: 132 of the 187 (71%) dogs were recovered; median time to recovery was 2 days (range, 0.5 to 21 days). Dogs were recovered primarily through a call or visit to an animal agency (46 [34.8%]), a dog license tag (24 [18.2%]), and posting of neighborhood signs (20 [15.2%]). Eighty-nine (48%) dogs had some type of identification at the time they were lost (ie, identification tag, dog license tag, rabies tag, or microchip). Owners had a higher likelihood of recovery when they called an animal agency (hazard ratio, 2.1), visited an animal agency (1.8), and posted neighborhood signs. Dogs that were wearing a dog license tag also had a higher likelihood of recovery (hazard ratio, 1.6). Owners were less likely to recover their dogs if they believed their dogs were stolen (hazard ratio, 0.3). CONCLUSIONS AND CLINICAL RELEVANCE: Results suggest that various factors are associated with the likelihood that owners will recover a lost dog. Both animal agencies and veterinarians can play a role in educating dog owners on the importance of identification tags, licensing, and microchips and can help to emphasize the importance of having a search plan in case a dog is lost.

Search and identification methods that owners use to find a lost cat.

OBJECTIVE: To characterize the process by which owners search for lost cats and identify factors associated with time to recovery. DESIGN: Cross-sectional study. SAMPLE POPULATION: Owners of 138 cats lost in Montgomery County, Ohio, between June 1 and September 30, 2005. PROCEDURES: A telephone survey was conducted. RESULTS: 73 of the 138 (53%) cats were recovered; median time to recovery was 5 days (range, 0.5 to 81 days). Most cats (48 [66%]) that were recovered returned home on their own or were found in the neighborhood (5 [7%]); most other cats were recovered through posting of neighborhood signs (8 [11%]) or calling or visiting an animal agency (5 [7%]). The highest success rate for any of the search methods that were used was only 12% (posting neighborhood signs). Only 26 of the 138 (19%) cats had some type of identification at the time they were lost (ie, identification tag, rabies tag, or microchip). Owners allowed 82 (59%) cats to spend at least some time outdoors. The percentage of sexually intact cats recovered by their owners (4/16 [25%]) was significantly lower than the percentage of neutered cats recovered (69/122 [57%]). CONCLUSIONS AND CLINICAL RELEVANCE: Results suggest that the percentage of lost cats recovered by their owners is low, possibly in part because of the lack of use of traditional identification methods and the general acceptance that cats may roam. Veterinarians can help educate owners about the importance of identification and the need to keep cats indoors.

Ear-tag retention and identification methods for extensively managed water buffalo (Bubalus bubalis) in Trinidad

Thirty-two young domestic water buffalo were studied to evaluate ear-tag retention during an epidemiologic field trial. Plastic ear-tags were placed in both ears before the start of the trial, which was implemented in an extensively managed domestic water buffalo herd of approximately 1000 animals in Trinidad from 1999-2001. The presence or absence of ear-tags was recorded at the times of animal handling. The rate of ear-tag loss was modeled using a parametric survival analysis assuming an exponential rate of loss. A gamma distribution was used to estimate the amount of time that each animal would be positively identified based only on the presence or absence of one or more ear-tags. The overall median ear-tag retention was 272 days. The estimated rate of ear-tag loss was 0.0024 ear-tags lost per day. The use of ear-tags alone might not be sufficient for long-term identification of extensively managed animal populations.

Abattoir surveillance: the U.S. experience.

Abattoir, or slaughter, surveillance has been an important component of bovine tuberculosis control and eradication programs in the U.S., and has adapted to changes in the livestock market from farm to table, and the threat of bovine tuberculosis from a wildlife reservoir. The purpose of this overview was to describe the current goals of U.S. bovine tuberculosis slaughter surveillance, describe the elements of slaughter surveillance in the U.S., describe enhancements to the slaughter surveillance system, and discuss future challenges for the U.S. bovine tuberculosis surveillance program. Government regulations and the scientific literature were examined to provide information for this paper. The control and eradication of bovine tuberculosis in livestock falls to the United States Department of Agriculture and two agencies within the Department: the Food Safety and Inspection Service (FSIS) and the Animal and Plant Health Inspection Service (APHIS). FSIS conducts routine slaughter surveillance for disease or conditions that render carcasses unsuitable for human consumption, while APHIS is involved in antemortem bovine tuberculosis testing, and necropsy and investigation of bovine tuberculosis cases identified through slaughter surveillance or antemortem testing. Results from the previous 5 years of surveillance are presented. Enhancements have been added to the current surveillance system to improve its performance. An incentive program has been used to increase the numbers of tissues submitted for laboratory examination, the state of Michigan is implementing electronic animal identification under a pilot program, and expansions to the current system are being developed to accommodate new livestock industries. The success of these programs and challenges for the future are discussed.

Assessment of the management practices facilitating the establishment and spread of exotic diseases of pigs in the Sydney region.

OBJECTIVE: To assess management factors that would influence the establishment and spread of exotic diseases in pigs in the Sydney region. DESIGN: Saleyard and pig producer practices that could assist the initiation and subsequent spread of exotic diseases in pigs were surveyed and assessed over a 12 month period. PROCEDURE: Two saleyards in the Sydney region selling pigs were attended weekly for 12 months (2002-2003) to collect details on vendors and purchasers of pigs. Pig producer locations were mapped. All pig farmers on the Department of Primary Industries temporary brand register were surveyed to record management practices and knowledge of exotic diseases. Swine brands were inspected to determine their quality as a tracing mechanism. RESULTS: There were 101 pig sale days during the survey period with 13,869 pigs sold. There were 305 vendors, of whom 95% were identifiable through saleyard records. However, only 40% of the 377 purchasers were identifiable. More than one third of the 1749 transactions were for cash without the identity of the purchaser being recorded at the saleyards. Some 3% of pigs failed to sell and were returned to the property of origin. A total of 64 of 132 pig producers in the Sydney region were surveyed and 52 responded with survey information. The production systems of pig producers were predominately intensive or semi-intensive (88%) with 69% of these operators being small hobby producers. Pigs were mostly fed household and commercial scraps that were free of meat scraps, however, 2 producers were found to be feeding meat scraps (swill) illegally. Some 56% of producers surveyed did not have a tattoo swine brand and of the 23 producers with registered brands, 3 were not available for inspection or were not functional and 2 used the brand irregularly. CONCLUSION: This survey has identified factors that would assist the establishment and spread of vesicular and other exotic diseases in pigs. The factors included feeding meat scraps (swill), poor farmer knowledge of exotic diseases, ineffective pig owner identification at saleyards, the practice of cash sales that precluded the collection of purchaser details, and inadequate identification of pigs. Tracing the movements of pigs under these circumstances would be difficult.

A string matching computer-assisted system for dolphin photoidentification.

This paper presents a syntactic/semantic string representation scheme as well as a string matching method as part of a computer-assisted system to identify dolphins from photographs of their dorsal fins. A low-level string representation is constructed from the curvature function of a dolphin's fin trailing edge, consisting of positive and negative curvature primitives. A high-level string representation is then built over the low-level string via merging appropriate groupings of primitives in order to have a less sensitive representation to curvature fluctuations or noise. A family of syntactic/semantic distance measures between two strings is introduced. A composite distance measure is then defined and used as a dissimilarity measure for database search, highlighting both the syntax (structure or sequence) and semantic (attribute or feature) differences. The syntax consists of an ordered sequence of significant protrusions and intrusions on the edge, while the semantics consist of seven attributes extracted from the edge and its curvature function. The matching results are reported for a database of 624 images corresponding to 164 individual dolphins. The identification results indicate that the developed string matching method performs better than the previous matching methods including dorsal ratio, curvature, and curve matching. The developed computer-assisted system can help marine mammalogists in their identification of dolphins, since it allows them to examine only a handful of candidate images instead of the currently used manual searching of the entire database.