244 Time to Vaccinate_ The importance of preventive health and vaccination programmes in ruminant production by MSD Animal Health (Industry Innovation)

 

 

244 Industry Innovation – Time to Vaccinate_ The importance of preventive health and vaccination programmes in ruminant production by MSD Animal Health

In Significant Impact Groups: Pathogen management \ Vaccination
Species targeted: Dairy; Beef; Sheep; Other;
Age: Different for different species; Not stated;
Summary:
Immunity has been defined as a condition of being able to resist a particular disease especially through preventing development of a pathogenic microorganism or by counteracting the effects of its products, or in simpler terms it is the power to resist infection whether innate or acquired. A strong powerful immunity is therefore crucial to maintain health in our current animal production, where multiple types of pathogens are continually challenging the health, welfare and productivity of our animals. Vaccinations play a great role in optimizing the animal’s power to resist disease. On a population basis, vaccinations have led to the eradication and control of many diseases. Vaccines are indispensable tools to prevent potentially dangerous infectious diseases and to maintain animal welfare and the productivity of animal production. Vaccine use within disease prevention and eradication programmes has optimized animal production, health and welfare, and contributed to a highly efficient production system.

Where to find the original material: https://www.farmantibiotics.org/tool_links/the-importance-of-preventive-health-and-vaccination-programmes-in-ruminant-production/;
Country: EU

243 Aspects of bovine herpesvirus 1 and bovine viral diarrhoea virus herd-level seroprevalence and vaccination in dairy and beef herds in Northern Ireland (Research paper – Cowley, 2014)

 

 

243 Research paper – Cowley – 2014 – Aspects of bovine herpesvirus 1 and bovine viral diarrhoea virus herd-level seroprevalence and vaccination in dairy and beef herds in Northern Ireland

In Significant Impact Groups: Pathogen management \ Vaccination
Species targeted: Dairy; Beef;
Age: Adult;
Summary:
Infections with bovine herpesvirus 1 (BoHV-1) and bovine viral diarrhoea (BVD) virus cause diseases of cattle with a worldwide distribution. The primary objective of the present study was to describe aspects of herd-level BoHV-1 and BVDV seroprevalence (based on testing of pooled sera) and control on farms in Northern Ireland, including vaccine usage. The results from this study indicate that the true herd-level seroprevalences to bovine herpesvirus 1 and bovine virus diarrhoea virus in non-vaccinating herds in Northern Northern Ireland are 77.3% (95% CI: 73.6–80.9%) and 98.4% (95% CI: 97.3–99.5%), respectively. The present study will assist in guiding regional policy development and establish a baseline against which the progress of current and future control and eradication programmes can be measured.

Where to find the original material: https://pubmed.ncbi.nlm.nih.gov/25152811/; http://doi.org/10.1186/2046-0481-67-18
Country: IE

242 Exploring Attitudes and Beliefs towards Implementing Cattle Disease Prevention and control measures (Research report – Brennan, 2016)

 

 

242 Research report – Brennan – 2016 – Exploring Attitudes and Beliefs towards Implementing Cattle Disease Prevention and control measures

In Significant Impact Groups: Biosecurity \Internal biosecurity; People; Precision Livestock Farming & Early detection
Species targeted: Dairy;
Age: Adult;
Summary:
Further understanding of why dairy farmers do not engage in disease prevention and control strategies (biosecurity) is required. Using semi-structured interviews informed by a health psychology approach with 25 dairy farmers, a number of barriers, such as disease testing inaccuracies, types of disease transmission, perceived lack of risk and effectiveness of measures, were identified. Motivators included being advised to undertake measures by veterinarians, and the increased threat and severity of the disease in focus. These results suggest there is an advantage to farm advisors and herd health professionals understanding and working with the beliefs of individual dairy farmers to target appropriate communication and advice strategies relating to biosecurity recommendations.

Where to find the original material: https://www.mdpi.com/2076-2615/6/10/61; http://doi.org/10.3390/ani6100061
Country: UK;

235 Plasmids carrying antimicrobial resistance genes in Enterobacteriaceae (Research paper – Rozwandowicz, 2018)

 

 

235 Research paper – Rozwandowicz – 2018 – Plasmids carrying antimicrobial resistance genes in Enterobacteriaceae

In Significant Impact Groups: AMU reduction strategies \ Monitoring and surveillance Disease/health
Species targeted: Pigs; Poultry; Dairy; Beef; Sheep; Other;
Age: Young; Adult;
Summary:
Bacterial antimicrobial resistance (AMR) is constantly evolving and horizontal gene transfer through genetic elements known as plasmids plays a major role. The identification of plasmids characteristics and their association with humans and animals provides important information that is essential to understand the contribution of these genes to the transmission of resistance. The purpose of this review is to provide an overview of all known AMR related types of genetic elements (plasmids) in Enterobacteriaceae, the resistance genes they carry and their geographical distribution. This information is very important in the fight against antimicrobial resistance.

Where to find the original material: https://academic.oup.com/jac/article/73/5/1121/4822282; https://doi.org/10.1093/jac/dkx488
Country: NL; DE; ES

232 Happy cow by Connecterra VetVice Wageningen University & Research ZLTO (Industry Innovation)

 

 

232 Industry Innovation – Happy cow by Connecterra VetVice Wageningen University & Research ZLTO

In Significant Impact Groups: Precision Livestock Farming & Early detection \ Sensor technology
Species targeted: Dairy;
Age: Adult;
Summary:
Improving dairy farm productivity through IoT technology and machine learning technologies.

Where to find the original material: https://www.iof2020.eu/trials/dairy/happy-cow;
Country: NL

230 Remote dairy quality by Qlip BV DMK ZLTO (Industry Innovation)

 

 

230 Industry Innovation – Remote dairy quality by Qlip BV DMK ZLTO

In Significant Impact Groups: Precision Livestock Farming & Early detection \ Sensor technology
Species targeted: Dairy;
Age: Adult;
Summary:
Assuring remote quality of accurate instruments, analysis and pro-active control in the dairy chain.

Where to find the original material: https://www.iof2020.eu/trials/dairy/remote-milk-quality;
Country: NL

228 Early Lameness Detection Through Machine Learning by Waterford Institute of Technology ENGS Dairy University of Strathclyde Herdsy (Industry Innovation)

 

 

228 Industry Innovation – Early Lameness Detection Through Machine Learning by Waterford Institute of Technology ENGS Dairy University of Strathclyde Herdsy

In Significant Impact Groups: Precision Livestock Farming & Early detection \ Sensor technology
Species targeted: Dairy;
Age: Adult;
Summary:
Using machine learning to identify early lameness in cattle at an early stage to increase animal welfare and lower treatment costs.

Where to find the original material: https://www.iof2020.eu/trials/dairy/lameness-detection-through-machine-learning
Country: NE

227 Multi-sensor cow monitoring by MOONSYST INC (Industry Innovation)

227 Industry Innovation – Multi-sensor cow monitoring by MOONSYST INC

In Significant Impact Groups: Precision Livestock Farming & Early detection \ Sensor technology
Species targeted: Dairy;
Age: Adult;
Summary:
Achieving more efficient and sustainable livestock farming through a unique Smart Rumen Monitoring System and cloud-based data processing application.

Where to find the original material: https://www.iof2020.eu/trials/dairy/multi-sensor-cow-monitoring;
Country: NL

226 IoT for Development of Smart Dairy Farming (Research paper – Akbar, 2020)

 

 

226 Research paper – Akbar – 2020 – IoT for Development of Smart Dairy Farming

In Significant Impact Groups: Precision Livestock Farming & Early detection \
Species targeted: Dairy;
Age: Adult;
Summary:
Internet of things (IoT) and data-driven techniques are creating greater opportunities for smart dairy farming. The demand for milk is continuously increasing due to increasing population of the world. In this research, the authors address different challenges that a dairy farmer has to face in daily life. Brief introduction of smart dairy farming (SDF) is presented with respect to the innovation in production and the processes of smart dairy farming. This review focuses on different aspects of smart dairy farming, and finally a state-of-the-art framework that can assist the farmers to increase the milk yield by using different latest technologies has been proposed. These technological methods can decrease the factors negatively affecting milk production and increase those positively affecting production with minimal resources.

Where to find the original material: https://www.hindawi.com/journals/jfq/2020/4242805/#conflicts-of-interest; https://doi.org/10.1155/2020/4242805
Country: PK

225 Developing integrated livestock breeding and management strategies to improve animal health product quality and performance in European organic and low input milk (Industry Innovation)

 

 

225 Industry Innovation – Developing integrated livestock breeding and management strategies to improve animal health product quality and performance in European organic and low input milk

In Significant Impact Groups: Breeding for disease resistance or robustness \ Housing and welfare
Species targeted: Pigs; Poultry; Dairy; Sheep;
Age: Adult;
Summary:
LowInputBreeds integrated breeding and management to improve animal health, product quality and performance in organic and low input milk, meat and eggs. Four technical sub-projects (SP) were evaluated for ethical, economic and environmental impact in a 5th SP, which also covered training and dissemination, including our website which lists contacts and bi-annual newsletters. By developing and integrating (a) genotypes selected for performance, robustness and product quality traits, and (b) management innovations to improve ‘low input’ systems the project made a significant contribution towards regionally-adapted breeding strategies, compatible with sustainable production, high product quality and organic principles.

Where to find the original material: https://cordis.europa.eu/docs/results/222/222623/final1-lib-publishable-summary-pdf.pdf;
Country: UK