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

224 Review_ New considerations to refine breeding objectives of dairy cows for increasing robustness and sustainability of grass-base (Research paper – Roche, 2018)

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224 Research paper – Roche – 2018 – Review_ New considerations to refine breeding objectives of dairy cows for increasing robustness and sustainability of grass-base

In Significant Impact Groups: Breeding for disease resistance or robustness
Species targeted: Dairy;
Age: Adult;
Summary:
Although food from grazed animals is increasingly sought by consumers because of perceived animal welfare advantages, grazing systems provide the farmer and the animal with unique challenges. The cow may have to walk long distances and be able to harvest feed efficiently in a highly competitive environment because of the need for high levels of pasture utilisation. She must be: highly fertile, with a requirement for pregnancy within ~80 days post-calving; ‘easy care’, because of the need for the management of large herds with limited labour; able to walk long distances; and robust to changes in feed supply and quality, so that short-term nutritional insults do not unduly influence her production and reproduction cycles. In the future, there will be greater emphasis on more difficult to measure traits that are important to the quality of life of the animal in each production system and to reduce the system’s environmental footprint.

Where to find the original material: https://www.cambridge.org/core/services/aop-cambridge-core/content/view/38965DA690D400722B82D93510F1835C/S1751731118002471a.pdf/review_new_considerations_to_refine_breeding_objectives_of_dairy_cows_for_increasing_robustness_and_sustainability_of_grassbase
Country: NZ

223 Genetic Improvement of Livestock for Milk Production (Research paper – Kiplagat, 2012)

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223 Research paper – Kiplagat – 2012 – Genetic Improvement of Livestock for Milk Production

In Significant Impact Groups: Breeding for disease resistance or robustness
Species targeted: Dairy;
Age: Adult;
Summary:
This chapter presents issues pertaining to genetic improvement of livestock for production. It covers aspects from basic population to quantitative genetics to molecular genetics, and their application in animal breeding. The use of specific gene information could help to increase rates of genetic improvement, and open opportunities for using additive and non-additive genetic effects of domestic species, provided wise improvement goals are used and this new technology is optimally used together with the so called ‘traditional’ or ‘conventional’ methods based on phenotypic and genealogical information. A rational use of the molecular methodologies in milk production genetic improvement requires the simultaneous optimization of selection on all the genes affecting important traits in the population. The maximum benefit can be obtained when these techniques are used in conjunction with reproductive technologies like artificial insemination, and collection and production in vitro of embryos to accelerate genetic change.

Where to find the original material: https://www.intechopen.com/books/milk-production-advanced-genetic-traits-cellular-mechanism-animal-management-and-health/genetic-improvement-of-livestock-for-milk-production; http://dx.doi.org/10.5772/50761
Country: KE

222 Implementing biosecurity measures on dairy farms in Ireland (Research paper – Sayers, 2013)

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222 Research paper – Sayers – 2013 – Implementing biosecurity measures on dairy farms in Ireland

In Significant Impact Groups: Biosecurity
Species targeted: Dairy;
Age: Adult;
Summary:
The objectives of this study were to document and describe influences on biosecurity practices and related opinions on dairy farms. Farmers in the most dairy cattle dense region were three times more likely to quarantine purchased stock than were their equivalents in regions where dairy production was less intense (P=0.012). Younger farmers in general were over twice as likely as middle-aged farmers to implement biosecurity guidelines (P=0.026). The owners of large enterprises were almost five times more likely to join a voluntary animal health scheme (P=0.003), and were over three times more likely to pay a premium price for health accredited animals (P=0.02) than were those farming small holdings. The baseline data recorded in this survey will form the basis for more detailed sociological and demographic research which will facilitate the targeting of future training of the farming community in biosecurity.

Where to find the original material: https://pubmed.ncbi.nlm.nih.gov/23276712/; https://doi.org/10.1016/j.tvjl.2012.11.017
Country: IE