234 Pig farm management by ZLTO ILVO Vion Porphyrio LINKS (Industry Innovation)

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234 Industry Innovation – Pig farm management by ZLTO ILVO Vion Porphyrio LINKS

In Significant Impact Groups: Precision Livestock Farming & Early detection \ Big data
Species targeted: Pigs;
Age: Not stated;
Summary:
Optimising pig production management by interoperable on-farm sensors and slaughterhouse data.

Where to find the original material: https://www.iof2020.eu/trials/meat/pig-farm-management;
Country: NL

233 PCR-Based Analysis of ColE1 Plasmids in Clinical Isolates and Metagenomic Samp (Research paper – Ares-Arroyo, 2018)

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233 Research paper – Ares-Arroyo – 2018 – PCR-Based Analysis of ColE1 Plasmids in Clinical Isolates and Metagenomic Samp

In Significant Impact Groups: AMU reduction strategies \ Monitoring and surveillance; Disease/health
Species targeted: Pigs; Poultry; Sheep; Other;
Age: Young; Adult;
Summary:
Genes transferred by ColE1 plasmids are important vehicles for the spread of antibiotic resistance in two families of bacteria, Enterobacteriaceae and Pasteurellaceae. Their monitoring is essential, as they harbor important resistance elements that can lead to resistance to antimicrobials in bacteria found in humans, animals and the environment. Understanding how these genetic elements work can lead to better understanding of how resistance to antimicrobials is being spread. In this work we present a useful genetic tool for the detection and analysis of ColE1 plasmids, and confirm their important role in the dissemination of antibiotic resistance, especially in the Pasteurellaceae family of bacteria.

Where to find the original material: https://www.frontiersin.org/articles/10.3389/fmicb.2018.00469/full?report=reader; https://doi.org/10.3389/fmicb.2018.00469
Country: ES; IN

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

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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

231 National colistin sales versus colistin resistance in Spanish pig production (Research paper – Miguela-Villoldo, 2019)

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231 Research paper – Miguela-Villoldo – 2019 – National colistin sales versus colistin resistance in Spanish pig production

In Significant Impact Groups: AMU reduction strategies \ Monitoring and surveillance; Antibiotic use
Species targeted: Pigs;
Age: Young; Adult;
Summary:
Antimicrobials, particularly colistin, have been the first choice to control a certain type pf bacteria (Gram-negative) in pig production, and often used preventively. However, colistin is now considered to be a last resort antibiotic in human clinical practice. In 2015, the colistin resistance gene (mcr-1) was discovered in China. This mcr-1 gene was then reported in Southern Europe in 2016 in bacteria from farm animals (poultry and pigs). Currently, eight mcr genes have been reported (mcr-1 to 8)). In 2016, the EMA (European Medicine Agency) aimed to reduce use of colistin in animals in the European Union and a voluntary strategic plan to reduce colistin use in pigs was introduced in Spain. A total of 70% of Spanish pig production companies joined the program, representing 80% of Spanish pig production. The impact of these recommendations in the colistin resistance levels in pigs in Spain is reported in this article.

Where to find the original material: https://pubmed.ncbi.nlm.nih.gov/30660816/; https://doi.org/10.1016/j.rvsc.2019.01.010
Country: ES

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

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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

229 – The blaNDM-1-Carrying IncA C2 Plasmid Underlies Structural Alterations and Cointegrate Formation In Vivo (Research paper – Hadziabdic – 2019)

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229 Research paper – Hadziabdic – 2019 – The blaNDM-1-Carrying IncA C2 Plasmid Underlies Structural Alterations and Cointegr

In Significant Impact Groups: AMU reduction strategies \ Monitoring and surveillance Disease/health
Species targeted: Poultry;
Age: Not stated;
Summary:
Antimicrobial usage is most common trigger for the spread of antimicrobial resistance however reducing antibiotic use only is not sufficient to reverse resistance. Only eliminating antimicrobial selection pressure does not lead to plasmid loss in all plasmid/host combinations. In 2012, a type of Salmonella bacteria (Salmonella Corvallis) carrying a multi-resistance gene (blaNDM-1 plasmid) was detected in a wild bird in Germany. In recent broiler chicken infection study, we observed transfer of this genetic element to other bacteria. The stability of this gene transfer was observed in our in vivo study with broilers. Our study revealed most common structural alterations of this relevant gene were maintained in the experiments with the broiler flock. Results in this article indicate that for the future, reduction in antimicrobial usage must be combined with alternative approaches that target the loss of the resistance gene, in order to slow down the spread of resistance.

Where to find the original material: https://aac.asm.org/content/63/8/e00380-19; https://doi.org/10.1128/AAC.00380-19
Country: ES; IT; DE

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

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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)

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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)

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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)

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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